From 0cf422dd0978c4bd9960d5037c145832a39c33b7 Mon Sep 17 00:00:00 2001
From: shajoezhu <shajoezhu@users.noreply.github.com>
Date: Thu, 10 Oct 2024 14:55:06 +0000
Subject: [PATCH] [actions skip] Built site for
 random.cdisc.data@62957ff2af3326b0d6c5b9aa962b69edb13e02b3

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diff --git a/404.html b/404.html
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 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
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diff --git a/CODE_OF_CONDUCT.html b/CODE_OF_CONDUCT.html
index 4a197465..7cffda1f 100644
--- a/CODE_OF_CONDUCT.html
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 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
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diff --git a/CONTRIBUTING.html b/CONTRIBUTING.html
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 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
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diff --git a/LICENSE-text.html b/LICENSE-text.html
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 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
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diff --git a/SECURITY.html b/SECURITY.html
index a65efaa4..ee2550b8 100644
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 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
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diff --git a/articles/index.html b/articles/index.html
index cde3af95..4de70d79 100644
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 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
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diff --git a/articles/rebuild_cached_data.html b/articles/rebuild_cached_data.html
index 7ec1be92..d296826b 100644
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 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
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diff --git a/authors.html b/authors.html
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@@ -50,6 +50,7 @@
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 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
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diff --git a/latest-tag/404.html b/latest-tag/404.html
index cc81dbab..0a8fc18b 100644
--- a/latest-tag/404.html
+++ b/latest-tag/404.html
@@ -8,24 +8,21 @@
 <title>Page not found (404) • random.cdisc.data</title>
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-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><link rel="stylesheet" href="https://insightsengineering.github.io/random.cdisc.data/consent.css">
+<script src="https://insightsengineering.github.io/random.cdisc.data/deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="https://insightsengineering.github.io/random.cdisc.data/deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="https://insightsengineering.github.io/random.cdisc.data/deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
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+<link rel="stylesheet" href="https://insightsengineering.github.io/random.cdisc.data/consent.css">
 <script src="https://insightsengineering.github.io/random.cdisc.data/consent.js" type="text/javascript" charset="utf-8"></script>
 </head>
 <body>
     <a href="https://insightsengineering.github.io/random.cdisc.data/#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="https://insightsengineering.github.io/random.cdisc.data/index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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       <ul class="navbar-nav me-auto">
-<li class="nav-item">
-  <a class="nav-link" href="https://insightsengineering.github.io/random.cdisc.data/reference/index.html">Reference</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="https://insightsengineering.github.io/random.cdisc.data/reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="https://insightsengineering.github.io/random.cdisc.data/#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="https://insightsengineering.github.io/random.cdisc.data/articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="https://insightsengineering.github.io/random.cdisc.data/news/index.html">Changelog</a>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles">
+<li><a class="dropdown-item" href="https://insightsengineering.github.io/random.cdisc.data/articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul>
 </li>
+<li class="nav-item"><a class="nav-link" href="https://insightsengineering.github.io/random.cdisc.data/news/index.html">Changelog</a></li>
+<li class="nav-item dropdown">
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
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 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
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+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports">
+<li><a class="dropdown-item" href="https://insightsengineering.github.io/random.cdisc.data/coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="https://insightsengineering.github.io/random.cdisc.data/unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="https://insightsengineering.github.io/random.cdisc.data/unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
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 </li>
       </ul>
-<form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off">
-</form>
-
-      <ul class="navbar-nav">
-<li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json">
+</form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul>
 </div>
 
-    
+
   </div>
 </nav><div class="container template-title-body">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="https://insightsengineering.github.io/random.cdisc.data/" class="logo" alt=""><h1>Page not found (404)</h1>
-      
+
+      <h1>Page not found (404)</h1>
+
     </div>
 
 Content not found. Please use links in the navbar.
@@ -98,9 +88,9 @@
 <script type="text/javascript" src="https://insightsengineering.github.io/random.cdisc.data/analytics.js"></script></footer>
 </div>
 
-  
 
-  
+
+
 
   </body>
 </html>
diff --git a/latest-tag/CODE_OF_CONDUCT.html b/latest-tag/CODE_OF_CONDUCT.html
index bba92878..754685d8 100644
--- a/latest-tag/CODE_OF_CONDUCT.html
+++ b/latest-tag/CODE_OF_CONDUCT.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Contributor Covenant Code of Conduct • random.cdisc.data</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Contributor Covenant Code of Conduct"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="consent.css"><script src="consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Contributor Covenant Code of Conduct • random.cdisc.data</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Contributor Covenant Code of Conduct"><link rel="stylesheet" href="consent.css"><script src="consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-title-body">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Contributor Covenant Code of Conduct</h1>
-      
+
+      <h1>Contributor Covenant Code of Conduct</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/.github/CODE_OF_CONDUCT.md" class="external-link"><code>.github/CODE_OF_CONDUCT.md</code></a></small>
     </div>
 
 <div id="contributor-covenant-code-of-conduct" class="section level1">
@@ -134,7 +120,7 @@ <h2 id="attribution">Attribution<a class="anchor" aria-label="anchor" href="#att
 </div>
 </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -143,9 +129,9 @@ <h2 id="attribution">Attribution<a class="anchor" aria-label="anchor" href="#att
 </div>
 <script type="text/javascript" src="analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/CONTRIBUTING.html b/latest-tag/CONTRIBUTING.html
index de7f8679..240855c9 100644
--- a/latest-tag/CONTRIBUTING.html
+++ b/latest-tag/CONTRIBUTING.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Contribution Guidelines • random.cdisc.data</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Contribution Guidelines"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="consent.css"><script src="consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Contribution Guidelines • random.cdisc.data</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Contribution Guidelines"><link rel="stylesheet" href="consent.css"><script src="consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-title-body">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Contribution Guidelines</h1>
-      
+
+      <h1>Contribution Guidelines</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/.github/CONTRIBUTING.md" class="external-link"><code>.github/CONTRIBUTING.md</code></a></small>
     </div>
 
 <div id="contribution-guidelines" class="section level1">
@@ -185,7 +171,7 @@ <h2 id="questions">Questions<a class="anchor" aria-label="anchor" href="#questio
 </div>
 </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -194,9 +180,9 @@ <h2 id="questions">Questions<a class="anchor" aria-label="anchor" href="#questio
 </div>
 <script type="text/javascript" src="analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/LICENSE-text.html b/latest-tag/LICENSE-text.html
index d23b98f8..792a6eaa 100644
--- a/latest-tag/LICENSE-text.html
+++ b/latest-tag/LICENSE-text.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>License • random.cdisc.data</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="License"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="consent.css"><script src="consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>License • random.cdisc.data</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="License"><link rel="stylesheet" href="consent.css"><script src="consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-title-body">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>License</h1>
-      
+
+      <h1>License</h1>
+
     </div>
 
 <pre>Copyright 2022 F. Hoffmann-La Roche AG
@@ -89,9 +75,9 @@
 </div>
 <script type="text/javascript" src="analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/SECURITY.html b/latest-tag/SECURITY.html
index d8eca5bb..a51cfa19 100644
--- a/latest-tag/SECURITY.html
+++ b/latest-tag/SECURITY.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Security Policy • random.cdisc.data</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Security Policy"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="consent.css"><script src="consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Security Policy • random.cdisc.data</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Security Policy"><link rel="stylesheet" href="consent.css"><script src="consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-title-body">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Security Policy</h1>
-      
+
+      <h1>Security Policy</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/SECURITY.md" class="external-link"><code>SECURITY.md</code></a></small>
     </div>
 
 <div id="security-policy" class="section level1">
@@ -89,7 +75,7 @@ <h2 id="data-security-standards-dss">Data Security Standards (DSS)<a class="anch
 </div>
 </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -98,9 +84,9 @@ <h2 id="data-security-standards-dss">Data Security Standards (DSS)<a class="anch
 </div>
 <script type="text/javascript" src="analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/articles/index.html b/latest-tag/articles/index.html
index 76b26774..ee24ec42 100644
--- a/latest-tag/articles/index.html
+++ b/latest-tag/articles/index.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Articles • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Articles"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Articles • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Articles"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,56 +15,45 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-article-index">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Articles</h1>
+
+      <h1>Articles</h1>
     </div>
 
     <div class="section ">
       <h3>All vignettes</h3>
-      <p class="section-desc"></p>
+      <div class="section-desc"></div>
 
       <dl><dt><a href="rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></dt>
         <dd>
@@ -80,9 +66,9 @@ <h3>All vignettes</h3>
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/articles/rebuild_cached_data.html b/latest-tag/articles/rebuild_cached_data.html
index 52a4899a..78538c62 100644
--- a/latest-tag/articles/rebuild_cached_data.html
+++ b/latest-tag/articles/rebuild_cached_data.html
@@ -5,29 +5,24 @@
 <meta charset="utf-8">
 <meta http-equiv="X-UA-Compatible" content="IE=edge">
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
-<meta name="description" content="random.cdisc.data">
 <title>Rebuilding Cached Random CDISC Data • random.cdisc.data</title>
 <script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
 <link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet">
-<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous">
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous">
-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Rebuilding Cached Random CDISC Data">
-<meta property="og:description" content="random.cdisc.data">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css">
+<script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Rebuilding Cached Random CDISC Data">
+<link rel="stylesheet" href="../consent.css">
 <script src="../consent.js" type="text/javascript" charset="utf-8"></script>
 </head>
 <body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -36,50 +31,42 @@
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
       <ul class="navbar-nav me-auto">
-<li class="nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
 <li class="active nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles">
+<li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul>
 </li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
+<li class="nav-item dropdown">
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports">
+<li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul>
 </li>
       </ul>
-<form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off">
-</form>
-
-      <ul class="navbar-nav">
-<li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json">
+</form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul>
 </div>
 
-    
+
   </div>
 </nav><div class="container template-article">
 
@@ -88,10 +75,11 @@
 
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Rebuilding Cached Random CDISC Data</h1>
+
+      <h1>Rebuilding Cached Random CDISC Data</h1>
             
       
-      
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/vignettes/rebuild_cached_data.Rmd" class="external-link"><code>vignettes/rebuild_cached_data.Rmd</code></a></small>
       <div class="d-none name"><code>rebuild_cached_data.Rmd</code></div>
     </div>
 
@@ -177,8 +165,8 @@ <h2 id="update-cached-data">Update Cached Data<a class="anchor" aria-label="anch
 <span>  <span class="va">fin_up</span></span>
 <span><span class="op">}</span></span></code></pre></div>
 <div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va">random.cdisc.data</span><span class="op">)</span></span>
-<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/gowerc/diffdf" class="external-link">diffdf</a></span><span class="op">)</span></span>
+<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://insightsengineering.github.io/random.cdisc.data/">random.cdisc.data</a></span><span class="op">)</span></span>
+<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://gowerc.github.io/diffdf/" class="external-link">diffdf</a></span><span class="op">)</span></span>
 <span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://dplyr.tidyverse.org" class="external-link">dplyr</a></span><span class="op">)</span></span>
 <span></span>
 <span><span class="co"># Call function to match random number generation from previous R versions</span></span>
@@ -246,7 +234,7 @@ <h2 id="update-cached-data">Update Cached Data<a class="anchor" aria-label="anch
 <span></span>
 <span>    <span class="co"># Preview differences</span></span>
 <span>    <span class="fu"><a href="https://rdrr.io/r/base/cat.html" class="external-link">cat</a></span><span class="op">(</span><span class="st">"\nSaving cached data for dataset"</span>, <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste0</a></span><span class="op">(</span><span class="st">"*"</span>, <span class="va">dat</span>, <span class="st">"*"</span><span class="op">)</span>, <span class="st">"with the following changes found (diffdf):\n"</span><span class="op">)</span></span>
-<span>    <span class="va">diff_test</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/diffdf/man/diffdf.html" class="external-link">diffdf</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/get.html" class="external-link">get</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste0</a></span><span class="op">(</span><span class="st">"c"</span>, <span class="va">dat</span><span class="op">)</span><span class="op">)</span>, <span class="va">cdataset</span><span class="op">)</span></span>
+<span>    <span class="va">diff_test</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://gowerc.github.io/diffdf/latest-tag/reference/diffdf.html" class="external-link">diffdf</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/get.html" class="external-link">get</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste0</a></span><span class="op">(</span><span class="st">"c"</span>, <span class="va">dat</span><span class="op">)</span><span class="op">)</span>, <span class="va">cdataset</span><span class="op">)</span></span>
 <span>    <span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">diff_test</span><span class="op">)</span></span>
 <span></span>
 <span>    <span class="co"># Check if there is any actual change to the data</span></span>
@@ -265,7 +253,7 @@ <h2 id="update-cached-data">Update Cached Data<a class="anchor" aria-label="anch
 <span>  <span class="fu"><a href="https://rdrr.io/r/base/message.html" class="external-link">message</a></span><span class="op">(</span><span class="st">"No source files changed: no cached datasets currently require updates."</span><span class="op">)</span></span>
 <span><span class="op">}</span></span></code></pre></div>
 </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside>
 </div>
 
@@ -277,9 +265,9 @@ <h2 id="update-cached-data">Update Cached Data<a class="anchor" aria-label="anch
 <script type="text/javascript" src="../analytics.js"></script></footer>
 </div>
 
-  
 
-  
+
+
 
   </body>
 </html>
diff --git a/latest-tag/authors.html b/latest-tag/authors.html
index ebe7de1b..e03081d7 100644
--- a/latest-tag/authors.html
+++ b/latest-tag/authors.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Authors and Citation • random.cdisc.data</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Authors and Citation"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="consent.css"><script src="consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Authors and Citation • random.cdisc.data</title><script src="deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Authors and Citation"><link rel="stylesheet" href="consent.css"><script src="consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,110 +15,103 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-citation-authors">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Authors and Citation</h1>
+
+      <h1>Authors and Citation</h1>
     </div>
 
-    <div class="section level2 citation">
+    <div class="section level2">
       <h2>Authors</h2>
-      
+
       <ul class="list-unstyled"><li>
-          <p><strong>Pawel Rucki</strong>. Author. 
+          <p><strong>Pawel Rucki</strong>. Author.
           </p>
         </li>
         <li>
-          <p><strong>Nick Paszty</strong>. Author. 
+          <p><strong>Nick Paszty</strong>. Author.
           </p>
         </li>
         <li>
-          <p><strong>Jana Stoilova</strong>. Author. 
+          <p><strong>Jana Stoilova</strong>. Author.
           </p>
         </li>
         <li>
-          <p><strong>Joe Zhu</strong>. Author, maintainer. 
+          <p><strong>Joe Zhu</strong>. Author, maintainer.
           </p>
         </li>
         <li>
-          <p><strong>Davide Garolini</strong>. Author. 
+          <p><strong>Davide Garolini</strong>. Author.
           </p>
         </li>
         <li>
-          <p><strong>Emily de la Rua</strong>. Author. 
+          <p><strong>Emily de la Rua</strong>. Author.
           </p>
         </li>
         <li>
-          <p><strong>Christopher DiPietrantonio</strong>. Author. 
+          <p><strong>Christopher DiPietrantonio</strong>. Author.
           </p>
         </li>
         <li>
-          <p><strong>Adrian Waddell</strong>. Author. 
+          <p><strong>Adrian Waddell</strong>. Author.
           </p>
         </li>
         <li>
-          <p><strong>F. Hoffmann-La Roche AG</strong>. Copyright holder, funder. 
+          <p><strong>F. Hoffmann-La Roche AG</strong>. Copyright holder, funder.
           </p>
         </li>
       </ul></div>
 
-    <div class="section level2 citation">
+    <div class="section level2">
       <h2 id="citation">Citation</h2>
-      <p></p>
+      <p><small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/DESCRIPTION" class="external-link"><code>DESCRIPTION</code></a></small></p>
 
       <p>Rucki P, Paszty N, Stoilova J, Zhu J, Garolini D, de la Rua E, DiPietrantonio C, Waddell A (2024).
 <em>random.cdisc.data: Create Random ADaM Datasets</em>.
-R package version 0.3.15. 
+R package version 0.3.16,
+https://github.com/insightsengineering/random.cdisc.data/, <a href="https://insightsengineering.github.io/random.cdisc.data/">https://insightsengineering.github.io/random.cdisc.data/</a>.
 </p>
       <pre>@Manual{,
   title = {random.cdisc.data: Create Random ADaM Datasets},
   author = {Pawel Rucki and Nick Paszty and Jana Stoilova and Joe Zhu and Davide Garolini and Emily {de la Rua} and Christopher DiPietrantonio and Adrian Waddell},
   year = {2024},
-  note = {R package version 0.3.15},
+  note = {R package version 0.3.16,
+    https://github.com/insightsengineering/random.cdisc.data/},
+  url = {https://insightsengineering.github.io/random.cdisc.data/},
 }</pre>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -130,9 +120,9 @@ <h2 id="citation">Citation</h2>
 </div>
 <script type="text/javascript" src="analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
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-        </div>
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-          <div id="files">
-            <div id="R/radlb.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Laboratory Data Analysis Dataset (ADLB)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function for generating a random Laboratory Data Analysis Dataset for a given</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Subject-Level Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details One record per subject per parameter per analysis visit per analysis date.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Keys: `STUDYID`, `USUBJID`, `PARAMCD`, `BASETYPE`, `AVISITN`, `ATPTN`, `DTYPE`, `ADTM`, `LBSEQ`, `ASPID`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param lbcat (`character vector`)\cr LB category values.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param max_n_lbs (`integer`)\cr Maximum number of labs per patient. Defaults to 10.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @template param_cached</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @templateVar data adlb</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @author tomlinsj, npaszty, Xuefeng Hou</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, seed = 1, study_duration = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adlb &lt;- radlb(adsl, visit_format = "WEEK", n_assessments = 7L, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adlb</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adlb &lt;- radlb(adsl, visit_format = "CYCLE", n_assessments = 2L, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adlb</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">31</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">radlb &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">32</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  lbcat = c("CHEMISTRY", "CHEMISTRY", "IMMUNOLOGY"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">33</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  param = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">34</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Alanine Aminotransferase Measurement",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">35</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "C-Reactive Protein Measurement",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">36</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Immunoglobulin A Measurement"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">37</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">38</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  paramcd = c("ALT", "CRP", "IGA"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">39</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  paramu = c("U/L", "mg/L", "g/L"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">40</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  aval_mean = c(18, 9, 2.9),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">41</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  visit_format = "WEEK",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">42</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  n_assessments = 5L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">43</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  n_days = 5L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">44</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  max_n_lbs = 10L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">45</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  lookup = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">46</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">47</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_percentage = 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">48</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_vars = list(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">49</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    LOQFL = c(NA, 0.1), ABLFL2 = c(1234, 0.1), ABLFL = c(1235, 0.1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">50</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    BASE2 = c(NA, 0.1), BASE = c(NA, 0.1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">51</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    CHG2 = c(1235, 0.1), PCHG2 = c(1235, 0.1), CHG = c(1234, 0.1), PCHG = c(1234, 0.1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">52</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">53</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  cached = FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">54</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(cached)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">55</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (cached) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">56</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(get_cached_data("cadlb"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">57</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">58</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">59</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(adsl)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">60</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(param, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">61</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(paramcd, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">62</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(paramu, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">63</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(lbcat, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">64</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_string(visit_format)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">65</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(n_assessments, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">66</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(n_days, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">67</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(max_n_lbs, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">68</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(lookup, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">69</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(seed, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">70</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">71</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_true(na_percentage &lt; 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">72</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">73</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # validate and initialize related variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">74</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  lbcat_init_list &lt;- relvar_init(param, lbcat)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">75</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  param_init_list &lt;- relvar_init(param, paramcd)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">76</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  unit_init_list &lt;- relvar_init(param, paramu)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">77</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">78</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">79</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">80</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">81</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  study_duration_secs &lt;- lubridate::seconds(attr(adsl, "study_duration_secs"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">82</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">83</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- expand.grid(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">84</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = unique(adsl$STUDYID),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">85</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = adsl$USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">86</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAM = as.factor(param_init_list$relvar1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">87</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVISIT = visit_schedule(visit_format = visit_format, n_assessments = n_assessments, n_days = n_days),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">88</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    stringsAsFactors = FALSE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">89</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">90</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">91</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # assign AVAL based on different tests</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">92</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- adlb %&gt;% mutate(AVAL = case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">93</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAM == param[1] ~ abs(stats::rnorm(nrow(adlb), mean = aval_mean[1], sd = 10)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">94</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAM == param[2] ~ abs(stats::rnorm(nrow(adlb), mean = aval_mean[2], sd = 1)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">95</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAM == param[3] ~ abs(stats::rnorm(nrow(adlb), mean = aval_mean[3], sd = 0.1))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">96</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">97</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">98</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # assign related variable values: PARAMxLBCAT are related</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">99</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- adlb %&gt;% rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">100</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_name = "LBCAT",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">101</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    related_var = "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">102</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_values = lbcat_init_list$relvar2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">103</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">104</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">105</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # assign related variable values: PARAMxPARAMCD are related</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">106</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- adlb %&gt;% rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">107</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_name = "PARAMCD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">108</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    related_var = "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">109</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_values = param_init_list$relvar2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">110</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">111</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">112</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- adlb %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">113</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(LBTESTCD = PARAMCD) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">114</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(LBTEST = PARAM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">115</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">116</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- adlb %&gt;% dplyr::mutate(AVISITN = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">117</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVISIT == "SCREENING" ~ -1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">118</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVISIT == "BASELINE" ~ 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">119</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    (grepl("^WEEK", AVISIT) | grepl("^CYCLE", AVISIT)) ~ as.numeric(AVISIT) - 2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">120</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    TRUE ~ NA_real_</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">121</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">122</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">123</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- adlb %&gt;% rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">124</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_name = "AVALU",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">125</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    related_var = "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">126</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_values = unit_init_list$relvar2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">127</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">128</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">129</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- adlb %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">130</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AVISITN = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">131</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISIT == "SCREENING" ~ -1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">132</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISIT == "BASELINE" ~ 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">133</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      (grepl("^WEEK", AVISIT) | grepl("^CYCLE", AVISIT)) ~ as.numeric(AVISIT) - 2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">134</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ NA_real_</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">135</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">136</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">137</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # order to prepare for change from screening and baseline values</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">138</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- adlb[order(adlb$STUDYID, adlb$USUBJID, adlb$PARAMCD, adlb$AVISITN), ]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">139</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">140</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- Reduce(rbind, lapply(split(adlb, adlb$USUBJID), function(x) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">141</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    x$STUDYID &lt;- adsl$STUDYID[which(adsl$USUBJID == x$USUBJID[1])]</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">142</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    x$ABLFL2 &lt;- ifelse(x$AVISIT == "SCREENING", "Y", "")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">143</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    x$ABLFL &lt;- ifelse(toupper(visit_format) == "WEEK" &amp; x$AVISIT == "BASELINE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">144</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">145</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ifelse(toupper(visit_format) == "CYCLE" &amp; x$AVISIT == "CYCLE 1 DAY 1", "Y", "")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">146</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">147</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    x</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">148</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">149</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">150</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb$BASE2 &lt;- retain(adlb, adlb$AVAL, adlb$ABLFL2 == "Y")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">151</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb$BASE &lt;- ifelse(adlb$ABLFL2 != "Y", retain(adlb, adlb$AVAL, adlb$ABLFL == "Y"), NA)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">152</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">153</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- adlb %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">154</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(CHG2 = AVAL - BASE2) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">155</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(PCHG2 = 100 * (CHG2 / BASE2)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">156</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(CHG = AVAL - BASE) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">157</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(PCHG = 100 * (CHG / BASE)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">158</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(BASETYPE = "LAST") %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">159</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ANRLO = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">160</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "ALT" ~ 7,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">161</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "CRP" ~ 8,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">162</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "IGA" ~ 0.8</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">163</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">164</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ANRHI = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">165</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "ALT" ~ 55,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">166</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "CRP" ~ 10,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">167</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "IGA" ~ 3</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">168</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">169</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ANRIND = factor(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">170</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL &lt; ANRLO ~ "LOW",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">171</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL &gt; ANRHI ~ "HIGH",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">172</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ "NORMAL"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">173</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">174</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(LBSTRESC = factor(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">175</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "ALT" ~ "&lt;7",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">176</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "CRP" ~ "&lt;8",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">177</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "IGA" ~ "&gt;3"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">178</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">179</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::rowwise() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">180</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(LOQFL = factor(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">181</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ifelse(eval(parse(text = paste(AVAL, LBSTRESC))), "Y", "N")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">182</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">183</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">184</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID, PARAMCD, BASETYPE) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">185</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(BNRIND = ANRIND[ABLFL == "Y"]) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">186</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">187</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(SHIFT1 = factor(ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">188</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISITN &gt; 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">189</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      paste(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">190</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        retain(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">191</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          adlb, as.character(BNRIND),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">192</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          AVISITN == 0</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">193</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">194</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ANRIND,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">195</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        sep = " to "</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">196</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">197</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">198</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">199</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ATOXGR = factor(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">200</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ANRIND == "LOW" ~ sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">201</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        c("-1", "-2", "-3", "-4", "-5"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">202</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        nrow(adlb),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">203</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        replace = TRUE,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">204</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        prob = c(0.30, 0.25, 0.20, 0.15, 0)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">205</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">206</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ANRIND == "HIGH" ~ sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">207</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        c("1", "2", "3", "4", "5"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">208</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        nrow(adlb),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">209</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        replace = TRUE,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">210</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        prob = c(0.30, 0.25, 0.20, 0.15, 0)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">211</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">212</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ANRIND == "NORMAL" ~ "0"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">213</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">214</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID, PARAMCD, BASETYPE) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">215</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(BTOXGR = ATOXGR[ABLFL == "Y"]) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">216</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">217</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ATPTN = 1) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">218</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(DTYPE = NA) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">219</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(BTOXGRL = factor(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">220</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BTOXGR == "0" ~ "0",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">221</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BTOXGR == "-1" ~ "1",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">222</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BTOXGR == "-2" ~ "2",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">223</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BTOXGR == "-3" ~ "3",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">224</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BTOXGR == "-4" ~ "4",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">225</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BTOXGR == "1" ~ "&lt;Missing&gt;",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">226</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BTOXGR == "2" ~ "&lt;Missing&gt;",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">227</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BTOXGR == "3" ~ "&lt;Missing&gt;",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">228</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BTOXGR == "4" ~ "&lt;Missing&gt;"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">229</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">230</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(BTOXGRH = factor(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">231</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BTOXGR == "0" ~ "0",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">232</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BTOXGR == "1" ~ "1",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">233</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BTOXGR == "2" ~ "2",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">234</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BTOXGR == "3" ~ "3",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">235</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BTOXGR == "4" ~ "4",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">236</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BTOXGR == "-1" ~ "&lt;Missing&gt;",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">237</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BTOXGR == "-2" ~ "&lt;Missing&gt;",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">238</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BTOXGR == "-3" ~ "&lt;Missing&gt;",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">239</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BTOXGR == "-4" ~ "&lt;Missing&gt;",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">240</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">241</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ATOXGRL = factor(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">242</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATOXGR == "0" ~ "0",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">243</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATOXGR == "-1" ~ "1",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">244</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATOXGR == "-2" ~ "2",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">245</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATOXGR == "-3" ~ "3",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">246</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATOXGR == "-4" ~ "4",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">247</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATOXGR == "1" ~ "&lt;Missing&gt;",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">248</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATOXGR == "2" ~ "&lt;Missing&gt;",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">249</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATOXGR == "3" ~ "&lt;Missing&gt;",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">250</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATOXGR == "4" ~ "&lt;Missing&gt;",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">251</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">252</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ATOXGRH = factor(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">253</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATOXGR == "0" ~ "0",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">254</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATOXGR == "1" ~ "1",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">255</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATOXGR == "2" ~ "2",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">256</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATOXGR == "3" ~ "3",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">257</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATOXGR == "4" ~ "4",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">258</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATOXGR == "-1" ~ "&lt;Missing&gt;",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">259</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATOXGR == "-2" ~ "&lt;Missing&gt;",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">260</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATOXGR == "-3" ~ "&lt;Missing&gt;",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">261</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATOXGR == "-4" ~ "&lt;Missing&gt;",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">262</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">263</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">264</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID = attr(adsl$STUDYID, "label"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">265</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID = attr(adsl$USUBJID, "label")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">266</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">267</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">268</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # High and low descriptions of the different PARAMCD values</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">269</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # This is currently hard coded as the GDSR does not have these descriptions yet</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">270</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  grade_lookup &lt;- tibble::tribble(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">271</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ~PARAMCD, ~ATOXDSCL, ~ATOXDSCH,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">272</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "ALB", "Hypoalbuminemia", NA_character_,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">273</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "ALKPH", NA_character_, "Alkaline phosphatase increased",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">274</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "ALT", NA_character_, "Alanine aminotransferase increased",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">275</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "AST", NA_character_, "Aspartate aminotransferase increased",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">276</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "BILI", NA_character_, "Blood bilirubin increased",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">277</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "CA", "Hypocalcemia", "Hypercalcemia",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">278</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "CHOLES", NA_character_, "Cholesterol high",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">279</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "CK", NA_character_, "CPK increased",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">280</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "CREAT", NA_character_, "Creatinine increased",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">281</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "CRP", NA_character_, "C reactive protein increased",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">282</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "GGT", NA_character_, "GGT increased",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">283</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "GLUC", "Hypoglycemia", "Hyperglycemia",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">284</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "HGB", "Anemia", "Hemoglobin increased",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">285</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "IGA", NA_character_, "Immunoglobulin A increased",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">286</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "POTAS", "Hypokalemia", "Hyperkalemia",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">287</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "LYMPH", "CD4 lymphocytes decreased", NA_character_,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">288</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "PHOS", "Hypophosphatemia", NA_character_,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">289</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "PLAT", "Platelet count decreased", NA_character_,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">290</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "SODIUM", "Hyponatremia", "Hypernatremia",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">291</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "WBC", "White blood cell decreased", "Leukocytosis",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">292</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">293</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">294</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # merge grade_lookup onto adlb</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">295</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- dplyr::left_join(adlb, grade_lookup, by = "PARAMCD")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">296</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">297</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">298</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adlb,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">299</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = "Study Identifier",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">300</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = "Unique Subject Identifier"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">301</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">302</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">303</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # merge ADSL to be able to add LB date and study day variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">304</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- dplyr::inner_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">305</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adlb,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">306</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">307</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = c("STUDYID", "USUBJID")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">308</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">309</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::rowwise() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">310</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(TRTENDT = lubridate::date(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">311</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      is.na(TRTEDTM) ~ lubridate::floor_date(lubridate::date(TRTSDTM) + study_duration_secs, unit = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">312</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ TRTEDTM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">313</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">314</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">315</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">316</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- adlb %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">317</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">318</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(USUBJID, AVISITN) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">319</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ADTM = rep(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">320</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      sort(sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">321</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        seq(lubridate::as_datetime(TRTSDTM[1]), lubridate::as_datetime(TRTENDT[1]), by = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">322</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        size = nlevels(AVISIT)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">323</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">324</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      each = n() / nlevels(AVISIT)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">325</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">326</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">327</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ADY = ceiling(difftime(ADTM, TRTSDTM, units = "days"))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">328</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-TRTENDT) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">329</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(STUDYID, USUBJID, ADTM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">330</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">331</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- adlb %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">332</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASPID = sample(seq_len(dplyr::n()))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">333</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">334</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(LBSEQ = seq_len(dplyr::n())) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">335</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASEQ = LBSEQ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">336</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">337</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">338</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">339</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">340</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">341</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BASETYPE,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">342</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISITN,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">343</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATPTN,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">344</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      DTYPE,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">345</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">346</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      LBSEQ,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">347</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ASPID</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">348</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">349</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">350</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- adlb %&gt;% dplyr::mutate(ONTRTFL = factor(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">351</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    !AVISIT %in% c("SCREENING", "BASELINE") ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">352</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    TRUE ~ ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">353</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">354</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">355</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  flag_variables &lt;- function(data,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">356</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                             apply_grouping,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">357</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                             apply_filter,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">358</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                             apply_mutate) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">359</td>
-                    <td class="coverage">15<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    data_compare &lt;- data %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">360</td>
-                    <td class="coverage">15<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::mutate(row_check = seq_len(nrow(data)))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">361</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">362</td>
-                    <td class="coverage">15<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    data &lt;- data_compare %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">363</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">364</td>
-                    <td class="coverage">15<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        if (apply_grouping == TRUE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">365</td>
-                    <td class="coverage">9<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          dplyr::group_by(., USUBJID, PARAMCD, BASETYPE, AVISIT)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">366</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">367</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          dplyr::group_by(., USUBJID, PARAMCD, BASETYPE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">368</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">369</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">370</td>
-                    <td class="coverage">15<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::arrange(ADTM, ASPID, LBSEQ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">371</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">372</td>
-                    <td class="coverage">15<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        if (apply_filter == TRUE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">373</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          dplyr::filter(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">374</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            .,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">375</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            (AVISIT != "BASELINE" &amp; AVISIT != "SCREENING") &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">376</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">              (ONTRTFL == "Y" | ADTM &lt;= TRTSDTM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">377</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">378</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            dplyr::filter(ATOXGR == max(as.numeric(as.character(ATOXGR))))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">379</td>
-                    <td class="coverage">9<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        } else if (apply_filter == FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">380</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          dplyr::filter(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">381</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            .,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">382</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            (AVISIT != "BASELINE" &amp; AVISIT != "SCREENING") &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">383</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">              (ONTRTFL == "Y" | ADTM &lt;= TRTSDTM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">384</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">385</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            dplyr::filter(ATOXGR == min(as.numeric(as.character(ATOXGR))))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">386</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">387</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          dplyr::filter(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">388</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            .,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">389</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            AVAL == min(AVAL) &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">390</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">              (AVISIT != "BASELINE" &amp; AVISIT != "SCREENING") &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">391</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">              (ONTRTFL == "Y" | ADTM &lt;= TRTSDTM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">392</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">393</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">394</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">395</td>
-                    <td class="coverage">15<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::slice(1) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">396</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">397</td>
-                    <td class="coverage">15<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        if (apply_mutate == TRUE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">398</td>
-                    <td class="coverage">12<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          dplyr::mutate(., new_var = ifelse(is.na(DTYPE), "Y", ""))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">399</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">400</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          dplyr::mutate(., new_var = ifelse(is.na(AVAL) == FALSE &amp; is.na(DTYPE), "Y", ""))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">401</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">402</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">403</td>
-                    <td class="coverage">15<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::ungroup()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">404</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">405</td>
-                    <td class="coverage">15<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    data_compare$new_var &lt;- ifelse(data_compare$row_check %in% data$row_check, "Y", "")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">406</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">407</td>
-                    <td class="coverage">15<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    data_compare &lt;- data_compare[, -which(names(data_compare) %in% c("row_check"))]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">408</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">409</td>
-                    <td class="coverage">15<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(data_compare)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">410</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">411</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">412</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- flag_variables(adlb, TRUE, "ELSE", FALSE) %&gt;% dplyr::rename(WORS01FL = "new_var")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">413</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- flag_variables(adlb, FALSE, TRUE, TRUE) %&gt;% dplyr::rename(WGRHIFL = "new_var")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">414</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- flag_variables(adlb, FALSE, FALSE, TRUE) %&gt;% dplyr::rename(WGRLOFL = "new_var")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">415</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- flag_variables(adlb, TRUE, TRUE, TRUE) %&gt;% dplyr::rename(WGRHIVFL = "new_var")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">416</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- flag_variables(adlb, TRUE, FALSE, TRUE) %&gt;% dplyr::rename(WGRLOVFL = "new_var")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">417</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">418</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- adlb %&gt;% dplyr::mutate(ANL01FL = ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">419</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    (ABLFL == "Y" | (WORS01FL == "Y" &amp; is.na(DTYPE))) &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">420</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      (AVISIT != "SCREENING"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">421</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">422</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">423</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">424</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">425</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (length(na_vars) &gt; 0 &amp;&amp; na_percentage &gt; 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">426</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adlb &lt;- mutate_na(ds = adlb, na_vars = na_vars, na_percentage = na_percentage)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">427</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">428</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">429</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # apply metadata</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">430</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">431</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adlb &lt;- apply_metadata(adlb, "metadata/ADLB.yml")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">432</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">433</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(adlb)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">434</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/radqlqc.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function for generating a random EORTC QLQ-C30 V3 Analysis Dataset for a given</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Subject-Level Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Keys: `STUDYID`, `USUBJID`, `PARCAT1N`, `PARAMCD`, `BASETYPE`, `AVISITN`, `ATPTN`, `ADTM`, `QSSEQ`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param percent (`numeric`)\cr Completion - Completed at least y percent of questions, 1 record per visit</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param number (`numeric`)\cr Completion - Completed at least x question(s), 1 record per visit</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @template param_cached</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @templateVar data adqlqc</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, study_duration = 2, seed = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adqlqc &lt;- radqlqc(adsl, seed = 1, percent = 80, number = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adqlqc</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">radqlqc &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    percent,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    number,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    cached = FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">31</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(cached)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">32</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (cached) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">33</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(get_cached_data("cadqlqc"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">34</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">35</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">36</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(adsl)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">37</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(percent, lower = 1, upper = 100)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">38</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(number, lower = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">39</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">40</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">41</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">42</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">43</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">44</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # ADQLQC data -------------------------------------------------------------</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">45</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  qs &lt;- get_qs_data(adsl, n_assessments = 5L, seed = seed, na_percentage = 0.1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">46</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # prepare ADaM ADQLQC data</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">47</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc1 &lt;- prep_adqlqc(df = qs)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">48</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # derive AVAL and AVALC</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">49</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc1 &lt;- mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">50</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adqlqc1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">51</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVAL = as.numeric(QSSTRESC),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">52</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVALC = case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">53</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "QSALL" ~ QSREASND,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">54</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ QSORRES</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">55</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">56</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVISIT = VISIT,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">57</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVISITN = VISITNUM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">58</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ADTM = QSDTC</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">59</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">60</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # include scale calculation</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">61</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc_tmp &lt;- calc_scales(adqlqc1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">62</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # order to prepare for change from screening and baseline values</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">63</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc_tmp &lt;- adqlqc_tmp[order(adqlqc_tmp$STUDYID, adqlqc_tmp$USUBJID, adqlqc_tmp$PARAMCD, adqlqc_tmp$AVISITN), ]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">64</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">65</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc_tmp &lt;- Reduce(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">66</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    rbind,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">67</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lapply(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">68</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      split(adqlqc_tmp, adqlqc_tmp$USUBJID),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">69</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      function(x) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">70</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        x$STUDYID &lt;- adsl$STUDYID[which(adsl$USUBJID == x$USUBJID[1])]</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">71</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        x$ABLFL2 &lt;- ifelse(x$AVISIT == "SCREENING", "Y", "")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">72</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        x$ABLFL &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">73</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          x$AVISIT == "BASELINE" &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">74</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            x$PARAMCD != "EX028",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">75</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">76</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">77</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            x$AVISIT == "CYCLE 1 DAY 1" &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">78</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">              x$PARAMCD != "EX028",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">79</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">80</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">81</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">82</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">83</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        x</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">84</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">85</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">86</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">87</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">88</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc_tmp$BASE2 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">89</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    str_detect(adqlqc_tmp$PARCAT2, "Completion", negate = TRUE),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">90</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    retain(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">91</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      df = adqlqc_tmp,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">92</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      value_var = adqlqc_tmp$AVAL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">93</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      event = adqlqc_tmp$ABLFL2 == "Y"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">94</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">95</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">96</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">97</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">98</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc_tmp$BASE &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">99</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adqlqc_tmp$ABLFL2 != "Y" &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">100</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      str_detect(adqlqc_tmp$PARCAT2, "Completion", negate = TRUE),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">101</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    retain(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">102</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      adqlqc_tmp,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">103</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      adqlqc_tmp$AVAL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">104</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      adqlqc_tmp$ABLFL == "Y"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">105</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">106</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">107</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">108</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">109</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc_tmp &lt;- adqlqc_tmp %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">110</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(CHG2 = AVAL - BASE2) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">111</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(PCHG2 = 100 * (CHG2 / BASE2)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">112</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(CHG = AVAL - BASE) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">113</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(PCHG = 100 * (CHG / BASE)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">114</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">115</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID = attr(adsl$STUDYID, "label"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">116</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID = attr(adsl$USUBJID, "label")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">117</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">118</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # derive CHGCAT1 ----------------------------------------------------------</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">119</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc_tmp &lt;- derv_chgcat1(dataset = adqlqc_tmp)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">120</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">121</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc_tmp &lt;- var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">122</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adqlqc_tmp,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">123</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = "Study Identifier",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">124</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = "Unique Subject Identifier"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">125</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">126</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">127</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc_tmp &lt;- arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">128</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adqlqc_tmp,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">129</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">130</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVISITN</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">131</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">132</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Merge ADSL --------------------------------------------------------------</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">133</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # ADSL variables needed for ADQLQC</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">134</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsl_vars &lt;- c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">135</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "STUDYID", "USUBJID", "SUBJID", "SITEID", "REGION1", "COUNTRY", "ETHNIC", "AGE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">136</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "AGEU", "AAGE", "AAGEU", "AGEGR1", "AGEGR2", "AGEGR3", "STRATwNM", "STRATw", "STRATwV",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">137</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "SEX", "RACE", "ITTFL", "SAFFL", "PPROTFL", "TRT01P", "TRT01A",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">138</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "TRTSEQP", "TRTSEQA", "TRTSDTM", "TRTSDT", "TRTEDTM", "TRTEDT", "DCUTDT"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">139</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">140</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsl &lt;- select(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">141</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">142</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    any_of(adsl_vars)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">143</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">144</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc &lt;- dplyr::inner_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">145</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adqlqc_tmp,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">146</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">147</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = c("STUDYID", "USUBJID")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">148</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">149</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">150</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADY_der = ceiling(difftime(ADTM, TRTSDTM, units = "days")),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">151</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADY = case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">152</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ADY_der &gt;= 0 ~ ADY_der + 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">153</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRUE ~ ADY_der</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">154</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">155</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">156</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    select(-ADY_der)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">157</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">158</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # get compliance data ---------------------------------------------------</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">159</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  compliance_data &lt;- comp_derv(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">160</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset = adqlqc,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">161</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    percent = percent,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">162</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    number = number</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">163</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">164</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # add ADSL variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">165</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  compliance_data &lt;- left_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">166</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    compliance_data,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">167</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">168</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = c("STUDYID", "USUBJID")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">169</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">170</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # add completion to ADQLQC</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">171</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc &lt;- bind_rows(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">172</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adqlqc,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">173</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    compliance_data</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">174</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">175</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">176</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">177</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISITN,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">178</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">179</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">180</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # find first set of questionnaire observations</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">181</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc_x &lt;- arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">182</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adqlqc,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">183</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">184</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ADTM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">185</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">186</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    filter(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">187</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD != "QSALL" &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">188</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        !str_detect(AVISIT, "SCREENING|UNSCHEDULED")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">189</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">190</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    group_by(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">191</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">192</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADTM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">193</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">194</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    summarise(first_date = first(ADTM), .groups = "drop")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">195</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">196</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc &lt;- left_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">197</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adqlqc,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">198</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adqlqc_x,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">199</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = c("USUBJID", "ADTM")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">200</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">201</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">202</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ANL01FL = case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">203</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAMCD != "QSALL" &amp; ABLFL == "Y" ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">204</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAMCD != "QSALL" &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">205</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          !str_detect(AVISIT, "UNSCHEDULED") &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">206</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          !is.na(first_date) ~ "Y"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">207</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">208</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">209</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    select(-first_date)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">210</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">211</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # final dataset -----------------------------------------------------------</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">212</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc_final &lt;- adqlqc %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">213</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">214</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASEQ = row_number()) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">215</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">216</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">217</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">218</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">219</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISITN</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">220</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">221</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    select(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">222</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      -c("BASE2", "CHG2", "PCHG2", "ABLFL2")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">223</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">224</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ungroup()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">225</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">226</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adam_vars &lt;- c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">227</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl_vars, "QSSEQ", "QSCAT", "QSSCAT", "QSDTC", "QSSPID", "QSSTAT", "QSSTRESN",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">228</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "QSSTRESC", "QSSTRESU", "QSORRES", "QSORRESU", "QSTEST", "QSTESTCD", "QSTPT",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">229</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "QSTPTNUM", "QSTPTREF", "QSDY", "QSREASND", "QSTSTDTL", "QSEVAL", "VISIT", "VISITNUM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">230</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "PARAM", "PARAMCD", "PARCAT1", "PARCAT1N", "PARCAT2", "AVAL", "AVALC", "AREASND",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">231</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "BASE", "BASETYPE", "ABLFL", "CHG", "PCHG", "CHGCAT1", "CRIT1", "CRIT1FL", "DTYPE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">232</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "ADTM", "ADT", "ADY", "ADTF", "ATMF", "ATPT", "ATPTN", "AVISIT", "AVISITN", "APHASE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">233</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "APHASEN", "APERIOD", "APERIODC", "APERIODC", "ASPER", "ASPERC", "PERADY", "TRTP",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">234</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "TRTA", "ONTRTFL", "LAST02FL", "FIRS02FL", "ANL01FL", "ANL02FL", "ANL03FL",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">235</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "ANL04FL", "CGCAT1NX"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">236</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">237</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # order variables in mapped qs by variables in adam_vars</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">238</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc_name_ordered &lt;- names(adqlqc_final)[order(match(names(adqlqc_final), adam_vars))]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">239</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # adqlqc with variables ordered per gdsr</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">240</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc_final &lt;- adqlqc_final %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">241</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    select(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">242</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      any_of(adqlqc_name_ordered)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">243</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">244</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">245</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc_final &lt;- relocate(adqlqc_final, "QSEVLINT", .after = "QSTESTCD") %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">246</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">247</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">248</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISITN,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">249</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ASEQ,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">250</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">251</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">252</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # apply metadata</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">253</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc_final &lt;- apply_metadata(adqlqc_final, "metadata/ADQLQC.yml")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">254</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(adqlqc_final)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">255</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">256</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">257</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Helper Functions for Constructing ADQLQC</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">258</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">259</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Internal functions used by `radqlqc`.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">260</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">261</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">262</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams radqlqc</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">263</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">264</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">265</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, study_duration = 2, seed = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">266</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adqlqc &lt;- radqlqc(adsl, seed = 1, percent = 80, number = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">267</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">268</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @name h_adqlqc</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">269</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">NULL</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">270</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">271</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @describeIn h_adqlqc Questionnaires EORTC QLQ-C30 V3.0 SDTM (QS)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">272</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">273</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function for generating random Questionnaires SDTM domain</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">274</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">275</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return a dataframe with SDTM questionnaire data</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">276</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @keywords internal</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">277</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">get_qs_data &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">278</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                        visit_format = "CYCLE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">279</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                        n_assessments = 5L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">280</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                        n_days = 1L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">281</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                        lookup = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">282</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                        seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">283</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                        na_percentage = 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">284</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                        na_vars = list(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">285</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                          QSORRES = c(1234, 0.2),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">286</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                          QSSTRESC = c(1234, 0.2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">287</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                        )) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">288</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  load(system.file("sysdata.rda", package = "random.cdisc.data"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">289</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_string(visit_format)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">290</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(n_assessments, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">291</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(n_days, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">292</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(seed, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">293</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1, na.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">294</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">295</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_true(na_percentage &lt; 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">296</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">297</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # get subjects for QS data from ADSL</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">298</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # get studyid, subject for QS generation</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">299</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  qs &lt;- select(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">300</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">301</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">302</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">303</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">304</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">305</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      DOMAIN = "QS"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">306</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">307</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">308</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # QS prep -----------------------------------------------------------------</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">309</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # get questionnaire function for QS</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">310</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # QSTESTCD: EOR0101 to EOR0130</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">311</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  eortc_qlq_c30_sub &lt;- filter(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">312</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    eortc_qlq_c30,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">313</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    as.numeric(str_extract(QSTESTCD, "\\d+$")) &gt;= 101 &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">314</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      as.numeric(str_extract(QSTESTCD, "\\d+$")) &lt;= 130</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">315</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">316</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    select(-publication_name)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">317</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">318</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # validate and initialize QSTEST vectors</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">319</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  qstest_init_list &lt;- relvar_init(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">320</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    unique(eortc_qlq_c30_sub$QSTEST),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">321</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    unique(eortc_qlq_c30_sub$QSTESTCD)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">322</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">323</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">324</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">325</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">326</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">327</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">328</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(lookup, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">329</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">330</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  lookup_qs &lt;- if (!is.null(lookup)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">331</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lookup</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">332</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">333</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    expand.grid(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">334</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID = unique(qs$STUDYID),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">335</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID = qs$USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">336</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTEST = qstest_init_list$relvar1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">337</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      VISIT = visit_schedule(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">338</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        visit_format = visit_format,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">339</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        n_assessments = n_assessments,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">340</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        n_days = n_days</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">341</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">342</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      stringsAsFactors = FALSE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">343</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">344</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">345</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">346</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # assign related variable values: QSTESTxQSTESTCD are related</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">347</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  lookup_qs &lt;- lookup_qs %&gt;% rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">348</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_name = "QSTESTCD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">349</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    related_var = "QSTEST",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">350</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_values = qstest_init_list$relvar2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">351</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">352</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">353</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  lookup_qs &lt;- left_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">354</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lookup_qs,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">355</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    eortc_qlq_c30_sub,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">356</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">357</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "QSTEST",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">358</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "QSTESTCD"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">359</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">360</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    multiple = "all",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">361</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    relationship = "many-to-many"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">362</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">363</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">364</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  lookup_qs &lt;- dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">365</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lookup_qs,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">366</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    VISITNUM = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">367</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      VISIT == "SCREENING" ~ -1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">368</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      VISIT == "BASELINE" ~ 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">369</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      (grepl("^WEEK", VISIT) | grepl("^CYCLE", VISIT)) ~ as.numeric(VISIT) - 2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">370</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ NA_real_</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">371</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">372</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;% arrange(USUBJID)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">373</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">374</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # # prep QSALL --------------------------------------------------------------</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">375</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # get last subject and visit for QSALL</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">376</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  last_subj_vis &lt;- select(lookup_qs, USUBJID, VISIT) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">377</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    distinct() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">378</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    slice(n())</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">379</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  last_subj_vis_full &lt;- filter(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">380</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lookup_qs,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">381</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID == last_subj_vis$USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">382</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    VISIT == last_subj_vis$VISIT</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">383</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">384</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">385</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  qsall_data1 &lt;- tibble::tibble(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">386</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = unique(last_subj_vis_full$STUDYID),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">387</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = unique(last_subj_vis_full$USUBJID),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">388</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    VISIT = unique(last_subj_vis_full$VISIT),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">389</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    VISITNUM = unique(last_subj_vis_full$VISITNUM),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">390</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSTESTCD = "QSALL",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">391</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSTEST = "Questionnaires",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">392</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSSTAT = "NOT DONE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">393</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSREASND = "SUBJECT REFUSED"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">394</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">395</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">396</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # remove last subject and visit from main data</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">397</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  lookup_qs_sub &lt;- anti_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">398</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lookup_qs,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">399</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    last_subj_vis_full,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">400</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = c("USUBJID", "VISIT")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">401</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">402</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">403</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">404</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  lookup_qs_sub_x &lt;- lookup_qs_sub %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">405</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    group_by(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">406</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">407</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">408</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      VISIT</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">409</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">410</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    slice_sample(n = 1) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">411</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">412</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    as.data.frame()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">413</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">414</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  lookup_qs_sub_x &lt;- arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">415</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lookup_qs_sub_x,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">416</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">417</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    VISITNUM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">418</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">419</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">420</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # add date: QSDTC ---------------------------------------------------------</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">421</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # get treatment dates from ADSL</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">422</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsl_trt &lt;- select(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">423</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">424</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">425</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    TRTSDTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">426</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    TRTEDTM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">427</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">428</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # use to derive QSDTC</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">429</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # if no treatment end date, create an arbituary one</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">430</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  trt_end_date &lt;- max(adsl_trt$TRTEDTM, na.rm = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">431</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">432</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  lookup_qs_sub_x &lt;- left_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">433</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lookup_qs_sub_x,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">434</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl_trt,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">435</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = "USUBJID"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">436</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">437</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    group_by(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">438</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">439</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">440</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    mutate(QSDTC = get_random_dates_between(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">441</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      from = TRTSDTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">442</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      to = ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">443</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        is.na(TRTEDTM),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">444</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        trt_end_date,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">445</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRTEDTM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">446</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">447</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      visit_id = VISITNUM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">448</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">449</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    select(-c("TRTSDTM", "TRTEDTM"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">450</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">451</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # filter out subjects with missing dates</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">452</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  lookup_qs_sub_x1 &lt;- filter(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">453</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lookup_qs_sub_x,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">454</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    !is.na(QSDTC)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">455</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">456</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">457</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # subjects with missing dates</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">458</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  lookup_qs_sub_x2 &lt;- filter(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">459</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lookup_qs_sub_x,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">460</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    is.na(QSDTC)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">461</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">462</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    select(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">463</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">464</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">465</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      VISIT,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">466</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      VISITNUM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">467</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">468</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    distinct()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">469</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">470</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # generate QSALL for subjects with missing dates</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">471</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  qsall_data2 &lt;- mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">472</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lookup_qs_sub_x2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">473</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSTESTCD = "QSALL",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">474</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSTEST = "Questionnaires",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">475</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSSTAT = "NOT DONE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">476</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSREASND = "SUBJECT REFUSED"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">477</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">478</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">479</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # add qsall data to original item data</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">480</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  lookup_qs_sub_all &lt;- bind_rows(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">481</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lookup_qs_sub_x1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">482</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    qsall_data1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">483</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    qsall_data2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">484</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">485</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">486</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  qs_all &lt;- lookup_qs_sub_all %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">487</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">488</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">489</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">490</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      VISITNUM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">491</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">492</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">493</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">494</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">495</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # get first and second subject ids</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">496</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  first_second_subj &lt;- select(qs_all, USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">497</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    distinct() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">498</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    slice(1:2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">499</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">500</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  qs1 &lt;- filter(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">501</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    qs_all,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">502</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID %in% first_second_subj$USUBJID</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">503</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">504</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">505</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (length(na_vars) &gt; 0 &amp;&amp; na_percentage &gt; 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">506</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    qs1 &lt;- mutate_na(ds = qs1, na_vars = na_vars, na_percentage = na_percentage)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">507</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">508</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">509</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # QSSTAT = NOT DONE</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">510</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  qs1 &lt;- mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">511</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    qs1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">512</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSSTAT = case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">513</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      is.na(QSORRES) &amp; is.na(QSSTRESC) ~ "NOT DONE"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">514</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">515</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">516</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">517</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # remove first and second subjects from main data</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">518</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  qs2 &lt;- anti_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">519</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    qs_all,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">520</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    qs1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">521</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = c("USUBJID")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">522</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">523</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">524</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  final_qs &lt;- rbind(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">525</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    qs1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">526</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    qs2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">527</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">528</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">529</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(QSSEQ = row_number()) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">530</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">531</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">532</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">533</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      VISITNUM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">534</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">535</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ungroup()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">536</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">537</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # ordered variables as per gdsr</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">538</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  final_qs &lt;- select(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">539</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    final_qs,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">540</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">541</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">542</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSSEQ,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">543</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSTESTCD,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">544</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSTEST,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">545</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSCAT,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">546</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSSCAT,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">547</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSORRES,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">548</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSORRESU,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">549</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSSTRESC,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">550</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSSTRESU,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">551</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSSTAT,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">552</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSREASND,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">553</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    VISITNUM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">554</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    VISIT,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">555</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSDTC,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">556</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    QSEVLINT</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">557</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">558</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(final_qs)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">559</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">560</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">561</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @describeIn h_adqlqc Function for generating random dates between 2 dates</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">562</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">563</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param from (`datetime vector`)\cr Start date/times.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">564</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param to (`datetime vector`)\cr End date/times.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">565</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param visit_id (`vector`)\cr Visit identifiers.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">566</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">567</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return Data frame with new randomly generated dates variable.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">568</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @keywords internal</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">569</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">get_random_dates_between &lt;- function(from, to, visit_id) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">570</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  min_date &lt;- min(lubridate::as_datetime(from), na.rm = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">571</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  max_date &lt;- max(lubridate::as_datetime(to), na.rm = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">572</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  date_seq &lt;- seq(from = min_date + lubridate::days(1), to = max_date, by = "28 days")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">573</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">574</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  visit_ids &lt;- unique(visit_id)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">575</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  out &lt;- sapply(visit_ids, simplify = TRUE, USE.NAMES = TRUE, FUN = function(x) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">576</td>
-                    <td class="coverage">177<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    if (x == -1) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">577</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      random_days_to_subtract &lt;- lubridate::days(sample(1:10, size = 1))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">578</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      min_date - random_days_to_subtract</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">579</td>
-                    <td class="coverage">147<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    } else if (x == 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">580</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      min_date</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">581</td>
-                    <td class="coverage">117<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    } else if (x &gt; 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">582</td>
-                    <td class="coverage">117<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      if (x %in% seq_along(date_seq)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">583</td>
-                    <td class="coverage">117<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        date_seq[[x]]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">584</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">585</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">586</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">587</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">588</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  })</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">589</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  lubridate::as_datetime(out[match(visit_id, visit_ids)])</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">590</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">591</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">592</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @describeIn h_adqlqc Prepare ADaM ADQLQC data, adding PARAMCD to SDTM QS data</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">593</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">594</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param df (`data.frame`)\cr SDTM QS dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">595</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">596</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">597</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @keywords internal</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">598</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">prep_adqlqc &lt;- function(df) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">599</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # create PARAMCD from QSTESTCD</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">600</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc &lt;- dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">601</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    df,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">602</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD = case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">603</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0101" ~ "QS02801",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">604</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0102" ~ "QS02802",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">605</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0103" ~ "QS02803",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">606</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0104" ~ "QS02804",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">607</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0105" ~ "QS02805",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">608</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0106" ~ "QS02806",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">609</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0107" ~ "QS02807",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">610</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0108" ~ "QS02808",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">611</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0109" ~ "QS02809",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">612</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0110" ~ "QS02810",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">613</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0111" ~ "QS02811",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">614</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0112" ~ "QS02812",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">615</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0113" ~ "QS02813",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">616</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0114" ~ "QS02814",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">617</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0115" ~ "QS02815",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">618</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0116" ~ "QS02816",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">619</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0117" ~ "QS02817",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">620</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0118" ~ "QS02818",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">621</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0119" ~ "QS02819",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">622</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0120" ~ "QS02820",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">623</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0121" ~ "QS02821",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">624</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0122" ~ "QS02822",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">625</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0123" ~ "QS02823",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">626</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0124" ~ "QS02824",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">627</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0125" ~ "QS02825",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">628</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0126" ~ "QS02826",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">629</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0127" ~ "QS02827",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">630</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0128" ~ "QS02828",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">631</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0129" ~ "QS02829",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">632</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD == "EOR0130" ~ "QS02830",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">633</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ QSTESTCD</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">634</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">635</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">636</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  load(system.file("sysdata.rda", package = "random.cdisc.data"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">637</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc1 &lt;- dplyr::left_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">638</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adqlqc,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">639</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    gdsr_param_adqlqc,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">640</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = "PARAMCD"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">641</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">642</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(adqlqc1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">643</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">644</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">645</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @describeIn h_adqlqc Scale calculation for ADQLQC data</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">646</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">647</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param adqlqc1 (`data.frame`)\cr Prepared data generated from the [prep_adqlqc()] function.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">648</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">649</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">650</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @keywords internal</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">651</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">calc_scales &lt;- function(adqlqc1) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">652</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Prep scale data ---------------------------------------------------------</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">653</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # parcat2 = scales or global health status</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">654</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # global health status/scales data</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">655</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # QSTESTCD: EOR0131 to EOR0145 (global health status and scales)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">656</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  load(system.file("sysdata.rda", package = "random.cdisc.data"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">657</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  eortc_qlq_c30_sub &lt;- filter(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">658</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    eortc_qlq_c30,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">659</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    !(as.numeric(str_extract(QSTESTCD, "\\d+$")) &gt;= 101 &amp; as.numeric(str_extract(QSTESTCD, "\\d+$")) &lt;= 130)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">660</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">661</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">662</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD = case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">663</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        QSTESTCD == "EOR0131" ~ "QS028QL2",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">664</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        QSTESTCD == "EOR0132" ~ "QS028PF2",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">665</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        QSTESTCD == "EOR0133" ~ "QS028RF2",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">666</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        QSTESTCD == "EOR0134" ~ "QS028EF",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">667</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        QSTESTCD == "EOR0135" ~ "QS028CF",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">668</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        QSTESTCD == "EOR0136" ~ "QS028SF",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">669</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        QSTESTCD == "EOR0137" ~ "QS028FA",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">670</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        QSTESTCD == "EOR0138" ~ "QS028NV",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">671</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        QSTESTCD == "EOR0139" ~ "QS028PA",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">672</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        QSTESTCD == "EOR0140" ~ "QS028DY",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">673</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        QSTESTCD == "EOR0141" ~ "QS028SL",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">674</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        QSTESTCD == "EOR0142" ~ "QS028AP",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">675</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        QSTESTCD == "EOR0143" ~ "QS028CO",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">676</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        QSTESTCD == "EOR0144" ~ "QS028DI",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">677</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        QSTESTCD == "EOR0145" ~ "QS028FI",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">678</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRUE ~ QSTESTCD</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">679</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">680</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">681</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    select(-publication_name)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">682</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">683</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # ADaM global health status and scales from gdsr</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">684</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  gdsr_param_adqlqc &lt;- gdsr_param_adqlqc %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">685</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    filter(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">686</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      !str_detect(PARCAT2, "Original Items|Completion")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">687</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">688</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">689</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ghs_scales &lt;- left_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">690</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    eortc_qlq_c30_sub,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">691</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    gdsr_param_adqlqc,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">692</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = "PARAMCD"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">693</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">694</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # scale data</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">695</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  df &lt;- data.frame(index = seq_len(nrow(ghs_scales)))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">696</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  df$previous &lt;- list(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">697</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    c("QS02826", "QS02827"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">698</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    c("QS02811"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">699</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    c("QS02810", "QS02812", "QS02818"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">700</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    c("QS02806", "QS02807"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">701</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    c("QS02814", "QS02815"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">702</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    c("QS02808"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">703</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    c("QS02817"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">704</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    c("QS02816"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">705</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    c("QS02821", "QS02822", "QS02823", "QS02824"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">706</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    c("QS02829", "QS02830"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">707</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    c("QS02813"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">708</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    c("QS02801", "QS02802", "QS02803", "QS02804", "QS02805"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">709</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    c("QS02809", "QS02819"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">710</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    c("QS02820", "QS02825"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">711</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    c("QS02828")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">712</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">713</td>
-                    <td class="coverage">3<em>x</em></td>
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-                  <tr class="covered">
-                    <td class="num">796</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "new_value = ((temp_val/var_length-1)/3)*100.0"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">797</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">798</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">799</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  expect_data &lt;- data.frame(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">800</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAM = expect$PARAM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">801</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD = expect$PARAMCD,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">802</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARCAT2 = expect$PARCAT2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">803</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARCAT1N = expect$PARCAT1N,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">804</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVAL = c(0, 1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">805</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVALC = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">806</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Not expected to complete questionnaire",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">807</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Expected to complete questionnaire"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">808</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">809</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">810</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">811</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  df_saved &lt;- data.frame()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">812</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">813</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  unique_id &lt;- unique(adqlqc1$USUBJID)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">814</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">815</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  for (id in unique_id) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">816</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    id_data &lt;- adqlqc1[adqlqc1$USUBJID == id, ]</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">817</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    unique_avisit &lt;- unique(id_data$AVISIT)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">818</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    for (visit in unique_avisit) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">819</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      if (is.na(visit)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">820</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        next</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">821</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">822</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      id_data_at_visit &lt;- id_data[id_data$AVISIT == visit, ]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">823</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">824</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      if (any(id_data_at_visit$PARAMCD != "QSALL")) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">825</td>
-                    <td class="coverage">177<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        for (idx in seq_along(df$index)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">826</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          previous_names &lt;- df$previous[idx]</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">827</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          current_name &lt;- df$newName[idx]</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">828</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          current_name_label &lt;- df$newNamelabel[idx]</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">829</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          current_name_category &lt;- df$newNameCategory[idx]</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">830</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          eqn &lt;- df$equation[idx]</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">831</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          temp_val &lt;- 0</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">832</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          var_length &lt;- 0</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">833</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          for (param_name in previous_names[[1]]) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">834</td>
-                    <td class="coverage">5310<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            if (param_name %in% id_data_at_visit$PARAMCD) { ####</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">835</td>
-                    <td class="coverage">5310<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">              current_val &lt;- as.numeric(as.character(id_data_at_visit$AVAL[id_data_at_visit$PARAMCD == param_name]))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">836</td>
-                    <td class="coverage">5310<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">              if (!is.na(current_val)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">837</td>
-                    <td class="coverage">5094<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                temp_val &lt;- temp_val + current_val ###</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">838</td>
-                    <td class="coverage">5094<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                var_length &lt;- var_length + 1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">839</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">              }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">840</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            } # if</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">841</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          } # param_name</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">842</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          # eval</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">843</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          if (var_length &gt;= as.numeric(df$num_param[idx])) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">844</td>
-                    <td class="coverage">2604<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            eval(parse(text = eqn)) #####</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">845</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">846</td>
-                    <td class="coverage">51<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            new_value &lt;- NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">847</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">848</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">849</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          new_data_row &lt;- data.frame(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">850</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            study = str_extract(id, "[A-Z]+[0-9]+"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">851</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            id,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">852</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            visit,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">853</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            id_data_at_visit$AVISITN[1],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">854</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            id_data_at_visit$QSDTC[1],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">855</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            current_name_category,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">856</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            current_name_label,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">857</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            current_name,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">858</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            new_value,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">859</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            NA,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">860</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            stringsAsFactors = FALSE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">861</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">862</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          colnames(new_data_row) &lt;- c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">863</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            "STUDYID", "USUBJID", "AVISIT", "AVISITN",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">864</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            "ADTM", "PARCAT2", "PARAM", "PARAMCD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">865</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            "AVAL", "AVALC"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">866</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ) ###</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">867</td>
-                    <td class="coverage">2655<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          df_saved &lt;- rbind(df_saved, new_data_row) #####</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">868</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        } # idx</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">869</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">870</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      # add expect data</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">871</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      expect_value &lt;- sample(expect_data$AVAL, 1, prob = c(0.10, 0.90))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">872</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      expect_valuec &lt;- expect_data$AVALC[expect_data$AVAL == expect_value]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">873</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">874</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      new_data_row &lt;- data.frame(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">875</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        study = str_extract(id, "[A-Z]+[0-9]+"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">876</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        id,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">877</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        visit,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">878</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        id_data_at_visit$AVISITN[1],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">879</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        datetime = NA,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">880</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        expect_data$PARCAT2[1],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">881</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        expect_data$PARAM[1],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">882</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        expect_data$PARAMCD[1],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">883</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        expect_value,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">884</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        expect_valuec,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">885</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        stringsAsFactors = FALSE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">886</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">887</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      colnames(new_data_row) &lt;- c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">888</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        "STUDYID", "USUBJID", "AVISIT", "AVISITN",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">889</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        "ADTM", "PARCAT2", "PARAM", "PARAMCD", "AVAL",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">890</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        "AVALC"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">891</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ) ###</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">892</td>
-                    <td class="coverage">180<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      df_saved &lt;- rbind(df_saved, new_data_row)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">893</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    } # visit</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">894</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } # id</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">895</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">896</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  df_saved1 &lt;- left_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">897</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    df_saved,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">898</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ghs_scales,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">899</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">900</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">901</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "PARAMCD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">902</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "PARCAT2"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">903</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">904</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">905</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">906</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVALC = ifelse(is.na(AVALC), as.character(AVAL), AVALC),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">907</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARCAT1 = ifelse(PARAMCD == "EX028", expect$PARCAT1, PARCAT1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">908</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARCAT1N = ifelse(PARAMCD == "EX028", expect$PARCAT1N, PARCAT1N)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">909</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">910</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">911</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqlqc_tmp &lt;- bind_rows(adqlqc1, df_saved1) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">912</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">913</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">914</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISITN,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">915</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSTESTCD</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">916</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">917</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(adqlqc_tmp)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">918</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">919</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">920</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @describeIn h_adqlqc Calculate Change from Baseline Category 1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">921</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">922</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param dataset (`data.frame`)\cr ADaM dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">923</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">924</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">925</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @keywords internal</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">926</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">derv_chgcat1 &lt;- function(dataset) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">927</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # derivation of CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">928</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  check_vars &lt;- c("PARCAT2", "CHG")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">929</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">930</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (all(check_vars %in% names(dataset))) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">931</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">932</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARCAT2 == "Symptom Scales" &amp; !is.na(dataset$CHG) &amp; dataset$CHG &lt;= -10,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">933</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Improved", ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">934</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">935</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">936</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARCAT2 == "Symptom Scales" &amp; !is.na(dataset$CHG) &amp; dataset$CHG &gt;= 10,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">937</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Worsened", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">938</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">939</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">940</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARCAT2 == "Symptom Scales" &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">941</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        !is.na(dataset$CHG) &amp; dataset$CHG &gt; -10 &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">942</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dataset$CHG &lt; 10,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">943</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "No change", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">944</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">945</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">946</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">947</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARCAT2 %in% c("Functional Scales", "Global Health Status") &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">948</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        !is.na(dataset$CHG) &amp; dataset$CHG &gt;= 10,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">949</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Improved", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">950</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">951</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">952</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARCAT2 %in% c("Functional Scales", "Global Health Status") &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">953</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        !is.na(dataset$CHG) &amp; dataset$CHG &lt;= -10,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">954</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Worsened", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">955</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">956</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">957</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARCAT2 %in% c("Functional Scales", "Global Health Status") &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">958</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        !is.na(dataset$CHG) &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">959</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dataset$CHG &gt; -10 &amp; dataset$CHG &lt; 10,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">960</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "No change", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">961</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">962</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">963</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">964</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% c("QS02829", "QS02830") &amp; dataset$CHG == 6,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">965</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Improved by six levels", dataset$CHGCAT1</pre>
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-                  </tr>
-                  <tr class="never">
-                    <td class="num">966</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
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-                  <tr class="covered">
-                    <td class="num">967</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
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-                  </tr>
-                  <tr class="covered">
-                    <td class="num">968</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% c("QS02829", "QS02830") &amp; dataset$CHG == 5,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">969</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Improved by five levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">970</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
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-                  </tr>
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-                    <td class="num">971</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
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-                  </tr>
-                  <tr class="covered">
-                    <td class="num">972</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% c("QS02829", "QS02830") &amp; dataset$CHG == 4,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">973</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Improved by four levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">974</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
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-                  </tr>
-                  <tr class="covered">
-                    <td class="num">975</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
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-                  </tr>
-                  <tr class="covered">
-                    <td class="num">976</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% c("QS02829", "QS02830") &amp; dataset$CHG == 3,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">977</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Improved by three levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">978</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
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-                  </tr>
-                  <tr class="covered">
-                    <td class="num">979</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">980</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% c("QS02829", "QS02830") &amp; dataset$CHG == 2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">981</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Improved by two levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">982</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
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-                  </tr>
-                  <tr class="covered">
-                    <td class="num">983</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">984</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% c("QS02829", "QS02830") &amp; dataset$CHG == 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">985</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Improved by one level", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">986</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
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-                  </tr>
-                  <tr class="covered">
-                    <td class="num">987</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">988</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% c("QS02829", "QS02830") &amp; dataset$CHG == 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">989</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "No change", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">990</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">991</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">992</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% c("QS02829", "QS02830") &amp; dataset$CHG == -1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">993</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Worsened by one level", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">994</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">995</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">996</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% c("QS02829", "QS02830") &amp; dataset$CHG == -2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">997</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Worsened by two levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">998</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
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-                  </tr>
-                  <tr class="covered">
-                    <td class="num">999</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1000</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% c("QS02829", "QS02830") &amp; dataset$CHG == -3,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1001</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Worsened by three levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1002</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1003</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1004</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% c("QS02829", "QS02830") &amp; dataset$CHG == -4,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1005</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Worsened by four levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1006</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
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-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1007</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1008</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% c("QS02829", "QS02830") &amp; dataset$CHG == -5,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1009</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Worsened by five levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1010</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1011</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1012</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% c("QS02829", "QS02830") &amp; dataset$CHG == -6,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1013</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Worsened by six levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1014</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1015</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1016</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
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-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1017</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% c("QS02802", "QS02806") &amp; dataset$CHG == -3,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1018</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Improved by three levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1019</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1020</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1021</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% c("QS02802", "QS02806") &amp; dataset$CHG == -2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1022</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Improved by two levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1023</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1024</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1025</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% c("QS02802", "QS02806") &amp; dataset$CHG == -1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1026</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Improved by one level", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1027</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1028</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1029</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% c("QS02802", "QS02806") &amp; dataset$CHG == 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1030</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "No change", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1031</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
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-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1032</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
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-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1033</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% c("QS02802", "QS02806") &amp; dataset$CHG == 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1034</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Worsened by one level", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1035</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
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-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1036</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1037</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% c("QS02802", "QS02806") &amp; dataset$CHG == 2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1038</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Worsened by two levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1039</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
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-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1040</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1041</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% c("QS02802", "QS02806") &amp; dataset$CHG == 3,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1042</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Worsened by three levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1043</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1044</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1045</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1046</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD == "QS02801" &amp; dataset$CHG == -3,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1047</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Improved by three levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1048</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1049</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1050</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD == "QS02801" &amp; dataset$CHG == -2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1051</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Improved by two levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1052</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1053</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1054</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD == "QS02801" &amp; dataset$CHG == -1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1055</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Improved by one level", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1056</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1057</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1058</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD == "QS02801" &amp; dataset$CHG == 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1059</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "No changed", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1060</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1061</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1062</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD == "QS02801" &amp; dataset$CHG == 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1063</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Worsened by one level", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1064</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1065</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1066</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD == "QS02801" &amp; dataset$CHG == 2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1067</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Worsened by two levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1068</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1069</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1070</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD == "QS02801" &amp; dataset$CHG == 3,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1071</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Worsened by three levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1072</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1073</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1074</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    paramcd_vec &lt;- c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1075</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "QS02803", "QS02804", "QS02805", "QS02807", "QS02808", "QS02809", "QS02810",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1076</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "QS02811", "QS02812", "QS02813", "QS02814", "QS02815", "QS02816", "QS02817",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1077</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "QS02818", "QS02819", "QS02820", "QS02821", "QS02822", "QS02823", "QS02824",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1078</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "QS02825", "QS02826", "QS02827", "QS02828"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1079</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1080</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1081</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1082</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% paramcd_vec &amp; dataset$CHG == -3,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1083</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Improved by three levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1084</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1085</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1086</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% paramcd_vec &amp; dataset$CHG == -2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1087</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Improved by two levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1088</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1089</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1090</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% paramcd_vec &amp; dataset$CHG == -1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1091</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Improved by one level", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1092</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1093</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1094</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% paramcd_vec &amp; dataset$CHG == 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1095</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "No change", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1096</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1097</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1098</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% paramcd_vec &amp; dataset$CHG == 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1099</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Worsened by one level", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1100</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1101</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1102</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% paramcd_vec &amp; dataset$CHG == 2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1103</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Worsened by two levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1104</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1105</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset$CHGCAT1 &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1106</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dataset$PARAMCD %in% paramcd_vec &amp; dataset$CHG == 3,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1107</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Worsened by three levels", dataset$CHGCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1108</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1109</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1110</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(dataset)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1111</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">1112</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    collapse_vars &lt;- paste(check_vars, collapse = ", ")</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">1113</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    stop(sprintf(</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">1114</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "%s: one or both variables is/are missing, needed for derivation",</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">1115</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      collapse_vars</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1116</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1117</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1118</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1119</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1120</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @describeIn h_adqlqc Completion/Compliance Data Calculation</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1121</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1122</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param dataset (`data.frame`)\cr Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1123</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1124</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1125</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @keywords internal</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1126</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">comp_derv &lt;- function(dataset, percent, number) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1127</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # original items data</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1128</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  orig_data &lt;- filter(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1129</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1130</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARCAT2 == "Original Items"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1131</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1132</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # total number of questionnaires</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1133</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  comp_count_all &lt;- select(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1134</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    orig_data,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1135</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1136</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1137</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    distinct() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1138</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    count()</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1139</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  comp_count_all &lt;- comp_count_all$n</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1140</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # original items data count of questions answered</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1141</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  orig_data_summ &lt;- group_by(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1142</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    orig_data,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1143</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1144</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1145</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARCAT1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1146</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVISIT,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1147</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVISITN,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1148</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ADTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1149</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ADY</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1150</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1151</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    summarise(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1152</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      comp_count = sum(!is.na(AVAL)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1153</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      comp_count_all = comp_count_all,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1154</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      .groups = "drop"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1155</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1156</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1157</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      per_comp = trunc((comp_count / comp_count_all) * 100)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1158</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1159</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # expected data</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1160</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ex028_data &lt;- filter(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1161</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dataset,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1162</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == "EX028",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1163</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVAL == 1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1164</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1165</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    select(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1166</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1167</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1168</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARCAT1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1169</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISIT,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1170</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISITN,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1171</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1172</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADY,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1173</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL_ex028 = AVAL</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1174</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1175</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1176</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      comp_count_all = comp_count_all</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1177</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1178</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1179</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  joined &lt;- left_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1180</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ex028_data,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1181</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    orig_data_summ,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1182</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1183</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "STUDYID",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1184</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "USUBJID",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1185</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "PARCAT1",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1186</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "AVISIT",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1187</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "AVISITN",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1188</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "comp_count_all"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1189</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1190</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1191</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    select(-c("ADTM.x", "ADY.x"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1192</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1193</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  joined &lt;- rename(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1194</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    joined,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1195</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ADTM = ADTM.y,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1196</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ADY = ADY.y</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1197</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1198</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # CO028ALL</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1199</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  co028all &lt;- mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1200</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    joined,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1201</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD = "CO028ALL",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1202</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAM = "EORTC QLQ-C30: Completion - Completed all questions",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1203</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARCAT2 = "Completion",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1204</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVAL = case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1205</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL_ex028 == 1 &amp; comp_count == comp_count_all ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1206</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL_ex028 == 1 &amp; (is.na(comp_count) | comp_count &lt; comp_count_all) ~ 0</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1207</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1208</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVALC = case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1209</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL == 1 ~ "Completed all questions",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1210</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL == 0 ~ "Did not complete all questions"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1211</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1212</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1213</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # CO028&lt;y&gt;P</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1214</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  co028p &lt;- mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1215</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    joined,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1216</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD = paste0("CO028", as.character(percent), "P"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1217</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAM = sprintf(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1218</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "EORTC QLQ-C30: Completion - Completed at least %s%% of questions",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1219</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      as.character(percent)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1220</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1221</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARCAT2 = "Completion",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1222</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVAL = case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1223</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL_ex028 == 1 &amp; per_comp &gt;= percent ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1224</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL_ex028 == 1 &amp; (is.na(per_comp) | per_comp &lt; percent) ~ 0</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1225</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1226</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVALC = case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1227</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL == 1 ~ sprintf(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1228</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        "Completed at least %s%% of questions",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1229</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        as.character(percent)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1230</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1231</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL == 0 ~ sprintf(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1232</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        "Did not complete at least %s%% of questions",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1233</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        as.character(percent)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1234</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1235</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1236</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1237</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # CO028&lt;x&gt;Q</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1238</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  co028q &lt;- mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1239</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    joined,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1240</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD = paste0("CO028", as.character(number), "Q"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1241</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAM = sprintf(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1242</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "EORTC QLQ-C30: Completion - Completed at least %s question(s)",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1243</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      as.character(number)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1244</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1245</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARCAT2 = "Completion",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1246</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVAL = case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1247</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL_ex028 == 1 &amp; comp_count &gt;= number ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1248</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL_ex028 == 1 &amp; (comp_count &lt; number | is.na(comp_count)) ~ 0</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1249</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1250</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVALC = case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1251</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL == 1 ~ sprintf(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1252</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        "Completed at least %s questions",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1253</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        as.character(number)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1254</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1255</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL == 0 ~ sprintf(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1256</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        "Did not complete at least %s question(s)",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1257</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        as.character(number)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1258</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1259</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1260</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1261</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1262</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  co028_bind &lt;- rbind(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1263</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    co028all,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1264</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    co028p,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1265</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    co028q</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1266</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1267</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    select(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1268</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      -c("AVAL_ex028", "comp_count", "comp_count_all", "per_comp")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1269</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">1270</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(co028_bind)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">1271</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/radex.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Exposure Analysis Dataset (ADEX)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function for generating random Exposure Analysis Dataset for a given</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Subject-Level Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details One record per each record in the corresponding SDTM domain.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Keys: `STUDYID`, `USUBJID`, `EXSEQ`, `PARAMCD`, `PARCAT1`, `ASTDTM`, `AENDTM`, `ASTDY`, `AENDY`,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' `AVISITN`, `EXDOSFRQ`, `EXROUTE`, `VISIT`, `VISITDY`, `EXSTDTC`, `EXENDTC`, `EXSTDY`, `EXENDY`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param parcat1 (`character vector`)\cr Dose amount categories. Defaults to "Individual" and "Overall".</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param parcat2 (`character vector`)\cr Types of drug received. Defaults to "Drug A" and "Drug B".</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param max_n_exs (`integer`)\cr Maximum number of exposures per patient. Defaults to 6.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @template param_cached</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @templateVar data adex</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, study_duration = 2, seed = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adex &lt;- radex(adsl, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adex</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">radex &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  param = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Dose administered during constant dosing interval",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">31</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Number of doses administered during constant dosing interval",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">32</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Total dose administered",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">33</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Total number of doses administered"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">34</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">35</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  paramcd = c("DOSE", "NDOSE", "TDOSE", "TNDOSE"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">36</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  paramu = c("mg", " ", "mg", " "),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">37</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  parcat1 = c("INDIVIDUAL", "OVERALL"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">38</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  parcat2 = c("Drug A", "Drug B"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">39</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  visit_format = "WEEK",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">40</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  n_assessments = 5L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">41</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  n_days = 5L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">42</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  max_n_exs = 6L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">43</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  lookup = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">44</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">45</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_percentage = 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">46</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_vars = list(AVAL = c(NA, 0.1), AVALU = c(NA), 0.1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">47</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  cached = FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">48</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(cached)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">49</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (cached) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">50</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(get_cached_data("cadex"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">51</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">52</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">53</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(adsl)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">54</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(param, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">55</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(paramcd, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">56</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(parcat1, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">57</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(parcat2, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">58</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_string(visit_format)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">59</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(n_assessments, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">60</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(n_days, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">61</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(max_n_exs, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">62</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(lookup, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">63</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(seed, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">64</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">65</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_true(na_percentage &lt; 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">66</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">67</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # validate and initialize related variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">68</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  param_init_list &lt;- relvar_init(param, paramcd)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">69</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  unit_init_list &lt;- relvar_init(param, paramu)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">70</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">71</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">72</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">73</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">74</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  study_duration_secs &lt;- lubridate::seconds(attr(adsl, "study_duration_secs"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">75</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">76</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex &lt;- expand.grid(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">77</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = unique(adsl$STUDYID),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">78</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = adsl$USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">79</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAM = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">80</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      rep(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">81</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        param_init_list$relvar1[1],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">82</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        length(levels(visit_schedule(visit_format = visit_format, n_assessments = n_assessments, n_days = n_days)))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">83</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">84</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      rep(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">85</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        param_init_list$relvar1[2],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">86</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        length(levels(visit_schedule(visit_format = visit_format, n_assessments = n_assessments, n_days = n_days)))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">87</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">88</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      param_init_list$relvar1[3:4]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">89</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">90</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    stringsAsFactors = FALSE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">91</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">92</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">93</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # assign related variable values: PARAMxPARAMCD are related</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">94</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex &lt;- adex %&gt;% rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">95</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_name = "PARAMCD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">96</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    related_var = "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">97</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_values = param_init_list$relvar2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">98</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">99</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">100</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # assign related variable values: AVALUxPARAM are related</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">101</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex &lt;- adex %&gt;% rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">102</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_name = "AVALU",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">103</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    related_var = "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">104</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_values = unit_init_list$relvar2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">105</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">106</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">107</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex &lt;- adex %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">108</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">109</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(PARCAT_ind = sample(c(1, 2), size = 1)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">110</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(PARCAT2 = ifelse(PARCAT_ind == 1, parcat2[1], parcat2[2])) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">111</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-"PARCAT_ind")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">112</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">113</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Add in PARCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">114</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex &lt;- adex %&gt;% dplyr::mutate(PARCAT1 = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">115</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    (PARAMCD == "TNDOSE" | PARAMCD == "TDOSE") ~ "OVERALL",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">116</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == "DOSE" | PARAMCD == "NDOSE" ~ "INDIVIDUAL"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">117</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">118</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">119</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex_visit &lt;- adex %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">120</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::filter(PARAMCD == "DOSE" | PARAMCD == "NDOSE") %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">121</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">122</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISIT = rep(visit_schedule(visit_format = visit_format, n_assessments = n_assessments, n_days = n_days), 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">123</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">124</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">125</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex &lt;- dplyr::left_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">126</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adex %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">127</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::group_by(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">128</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">129</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">130</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">131</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAMCD,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">132</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AVALU,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">133</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARCAT1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">134</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARCAT2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">135</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">136</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::mutate(id = dplyr::row_number()),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">137</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adex_visit %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">138</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::group_by(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">139</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">140</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">141</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">142</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAMCD,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">143</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AVALU,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">144</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARCAT1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">145</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARCAT2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">146</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">147</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::mutate(id = dplyr::row_number()),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">148</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = c("USUBJID", "STUDYID", "PARCAT1", "PARCAT2", "id", "PARAMCD", "PARAM", "AVALU")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">149</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">150</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-"id")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">151</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">152</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Visit numbers</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">153</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex &lt;- adex %&gt;% dplyr::mutate(AVISITN = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">154</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVISIT == "SCREENING" ~ -1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">155</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVISIT == "BASELINE" ~ 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">156</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    (grepl("^WEEK", AVISIT) | grepl("^CYCLE", AVISIT)) ~ as.numeric(AVISIT) - 2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">157</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    TRUE ~ 999000</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">158</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">159</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">160</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">161</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex2 &lt;- split(adex, adex$USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">162</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lapply(function(pinfo) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">163</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      pinfo %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">164</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::filter(PARAMCD == "DOSE") %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">165</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::group_by(USUBJID, PARCAT2, AVISIT) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">166</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::mutate(changeind = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">167</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          AVISIT == "SCREENING" ~ 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">168</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          AVISIT != "SCREENING" ~ sample(c(-1, 0, 1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">169</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            size = 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">170</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            prob = c(0.25, 0.5, 0.25),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">171</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            replace = TRUE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">172</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">173</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">174</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">175</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::group_by(USUBJID, PARCAT2) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">176</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">177</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          csum = cumsum(changeind),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">178</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          changeind = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">179</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            csum &lt;= -3 ~ sample(c(0, 1), size = 1, prob = c(0.5, 0.5)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">180</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            csum &gt;= 3 ~ sample(c(0, -1), size = 1, prob = c(0.5, 0.5)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">181</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            TRUE ~ changeind</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">182</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">183</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">184</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::mutate(csum = cumsum(changeind)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">185</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">186</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::group_by(USUBJID, PARCAT2, AVISIT) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">187</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::mutate(AVAL = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">188</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          csum == -2 ~ 480,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">189</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          csum == -1 ~ 720,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">190</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          csum == 0 ~ 960,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">191</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          csum == 1 ~ 1200,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">192</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          csum == 2 ~ 1440</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">193</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">194</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::select(-c("csum", "changeind")) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">195</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::ungroup()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">196</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    }) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">197</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    Reduce(rbind, .)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">198</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">199</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex_tmp &lt;- dplyr::full_join(adex2, adex, by = names(adex))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">200</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex &lt;- adex_tmp %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">201</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">202</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AVAL = ifelse(PARAMCD == "NDOSE", 1, AVAL)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">203</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AVAL = ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">204</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "TNDOSE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">205</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      sum(AVAL[PARAMCD == "NDOSE"]),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">206</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">207</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">208</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">209</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID, STUDYID, PARCAT2) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">210</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AVAL = ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">211</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "TDOSE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">212</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      sum(AVAL[PARAMCD == "DOSE"]),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">213</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">214</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">215</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">216</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex &lt;- var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">217</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adex,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">218</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = "Study Identifier",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">219</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = "Unique Subject Identifier"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">220</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">221</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">222</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # merge ADSL to be able to add ADEX date and study day variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">223</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex &lt;- dplyr::inner_join(adex, adsl, by = c("STUDYID", "USUBJID")) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">224</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::rowwise() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">225</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(TRTENDT = lubridate::date(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">226</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      is.na(TRTEDTM) ~ lubridate::floor_date(lubridate::date(TRTSDTM) + study_duration_secs, unit = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">227</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ TRTEDTM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">228</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">229</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASTDTM = sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">230</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      seq(lubridate::as_datetime(TRTSDTM), lubridate::as_datetime(TRTENDT), by = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">231</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      size = 1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">232</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">233</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    # add 1 to end of range incase both values passed to sample() are the same</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">234</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AENDTM = sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">235</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      seq(lubridate::as_datetime(ASTDTM), lubridate::as_datetime(TRTENDT + 1), by = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">236</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      size = 1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">237</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">238</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-TRTENDT) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">239</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">240</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(STUDYID, USUBJID, ASTDTM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">241</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">242</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">243</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex &lt;- adex %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">244</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">245</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(EXSEQ = seq_len(dplyr::n())) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">246</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASEQ = EXSEQ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">247</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">248</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">249</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">250</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">251</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">252</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ASTDTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">253</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISITN,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">254</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      EXSEQ</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">255</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">256</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">257</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Adding EXDOSFRQ</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">258</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex &lt;- adex %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">259</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(EXDOSFRQ = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">260</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARCAT1 == "INDIVIDUAL" ~ "ONCE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">261</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">262</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">263</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">264</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Adding EXROUTE</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">265</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex &lt;- adex %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">266</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(EXROUTE = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">267</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARCAT1 == "INDIVIDUAL" ~ sample(c("INTRAVENOUS", "SUBCUTANEOUS"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">268</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        nrow(adex),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">269</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        replace = TRUE,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">270</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        prob = c(0.9, 0.1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">271</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">272</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">273</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">274</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">275</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Fix VISIT according to AVISIT</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">276</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex &lt;- adex %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">277</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(VISIT = AVISIT)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">278</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">279</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Hack for VISITDY - to fix in ADSL</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">280</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  visit_levels &lt;- str_extract(levels(adex$VISIT), pattern = "[0-9]+")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">281</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  vl_extracted &lt;- vapply(visit_levels, function(x) as.numeric(x[2]), numeric(1))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">282</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  vl_extracted &lt;- c(-1, 1, vl_extracted[!is.na(vl_extracted)])</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">283</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">284</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Adding VISITDY</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">285</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex &lt;- adex %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">286</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(VISITDY = as.numeric(as.character(factor(VISIT, labels = vl_extracted))))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">287</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">288</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Exposure time stamps</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">289</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex &lt;- adex %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">290</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">291</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      EXSTDTC = TRTSDTM + lubridate::days(VISITDY),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">292</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      EXENDTC = EXSTDTC + lubridate::hours(1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">293</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      EXSTDY = VISITDY,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">294</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      EXENDY = VISITDY</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">295</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">296</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">297</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Correcting last exposure to treatment</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">298</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex &lt;- adex %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">299</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(SUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">300</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(TRTEDTM = lubridate::as_datetime(max(EXENDTC, na.rm = TRUE))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">301</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">302</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">303</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Fixing Date - to add into ADSL</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">304</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex &lt;- adex %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">305</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">306</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRTSDT = lubridate::date(TRTSDTM),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">307</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRTEDT = lubridate::date(TRTEDTM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">308</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">309</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">310</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Fixing analysis time stamps</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">311</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex &lt;- adex %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">312</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">313</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ASTDY = EXSTDY,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">314</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AENDY = EXENDY,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">315</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ASTDTM = EXSTDTC,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">316</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AENDTM = EXENDTC</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">317</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">318</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">319</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (length(na_vars) &gt; 0 &amp;&amp; na_percentage &gt; 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">320</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adex &lt;- mutate_na(ds = adex, na_vars = na_vars, na_percentage = na_percentage)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">321</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">322</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">323</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # apply metadata</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">324</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adex &lt;- apply_metadata(adex, "metadata/ADEX.yml")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">325</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">326</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">327</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"># Equivalent of stringr::str_extract_all()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">328</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">str_extract &lt;- function(string, pattern) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">329</td>
-                    <td class="coverage">2850<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  regmatches(string, gregexpr(pattern, string))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">330</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/radmh.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Medical History Analysis Dataset (ADMH)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function for generating a random Medical History Analysis Dataset for a given</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Subject-Level Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details One record per each record in the corresponding SDTM domain.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Keys: `STUDYID`, `USUBJID`, `ASTDTM`, `MHSEQ`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param max_n_mhs (`integer`)\cr Maximum number of MHs per patient. Defaults to 10.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @template param_cached</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @templateVar data admh</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, study_duration = 2, seed = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' admh &lt;- radmh(adsl, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' admh</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">radmh &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  max_n_mhs = 10L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  lookup = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_percentage = 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_vars = list(MHBODSYS = c(NA, 0.1), MHDECOD = c(1234, 0.1)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">31</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  cached = FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">32</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(cached)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">33</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (cached) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">34</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(get_cached_data("cadmh"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">35</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">36</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">37</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(adsl)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">38</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(max_n_mhs, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">39</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(seed, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">40</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">41</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_true(na_percentage &lt; 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">42</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">43</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(lookup, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">44</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  lookup_mh &lt;- if (!is.null(lookup)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">45</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lookup</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">46</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">47</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    tibble::tribble(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">48</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ~MHBODSYS, ~MHDECOD, ~MHSOC,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">49</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "cl A", "trm A_1/2", "cl A",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">50</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "cl A", "trm A_2/2", "cl A",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">51</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "cl B", "trm B_1/3", "cl B",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">52</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "cl B", "trm B_2/3", "cl B",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">53</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "cl B", "trm B_3/3", "cl B",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">54</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "cl C", "trm C_1/2", "cl C",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">55</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "cl C", "trm C_2/2", "cl C",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">56</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "cl D", "trm D_1/3", "cl D",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">57</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "cl D", "trm D_2/3", "cl D",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">58</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "cl D", "trm D_3/3", "cl D"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">59</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">60</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">61</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">62</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">63</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">64</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">65</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  study_duration_secs &lt;- lubridate::seconds(attr(adsl, "study_duration_secs"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">66</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">67</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  admh &lt;- Map(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">68</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    function(id, sid) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">69</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      n_mhs &lt;- sample(0:max_n_mhs, 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">70</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      i &lt;- sample(seq_len(nrow(lookup_mh)), n_mhs, TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">71</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">72</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        lookup_mh[i, ],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">73</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        USUBJID = id,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">74</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        STUDYID = sid</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">75</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">76</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    },</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">77</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl$USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">78</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl$STUDYID</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">79</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">80</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    Reduce(rbind, .) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">81</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    `[`(c(4, 5, 1, 2, 3)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">82</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(MHTERM = MHDECOD)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">83</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">84</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  admh &lt;- var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">85</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    admh,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">86</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = "Study Identifier",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">87</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = "Unique Subject Identifier"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">88</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">89</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">90</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # merge ADSL to be able to add MH date and study day variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">91</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  admh &lt;- dplyr::inner_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">92</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    admh,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">93</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">94</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = c("STUDYID", "USUBJID")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">95</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">96</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::rowwise() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">97</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(TRTENDT = lubridate::date(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">98</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      is.na(TRTEDTM) ~ lubridate::floor_date(lubridate::date(TRTSDTM) + study_duration_secs, unit = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">99</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ TRTEDTM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">100</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">101</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASTDTM = sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">102</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      seq(lubridate::as_datetime(TRTSDTM), lubridate::as_datetime(TRTENDT), by = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">103</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      size = 1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">104</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">105</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASTDY = ceiling(difftime(ASTDTM, TRTSDTM, units = "days"))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">106</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    # add 1 to end of range incase both values passed to sample() are the same</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">107</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AENDTM = sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">108</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      seq(lubridate::as_datetime(ASTDTM), lubridate::as_datetime(TRTENDT + 1), by = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">109</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      size = 1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">110</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">111</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AENDY = ceiling(difftime(AENDTM, TRTSDTM, units = "days"))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">112</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    select(-TRTENDT) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">113</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">114</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(STUDYID, USUBJID, ASTDTM, MHTERM) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">115</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(MHDISTAT = sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">116</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      x = c("Resolved", "Ongoing with treatment", "Ongoing without treatment"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">117</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      prob = c(0.6, 0.2, 0.2),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">118</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      size = dplyr::n(),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">119</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      replace = TRUE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">120</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">121</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ATIREL = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">122</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      (AENDTM &lt; TRTSDTM | (is.na(AENDTM) &amp; MHDISTAT == "Resolved")) ~ "PRIOR",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">123</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      (AENDTM &gt;= TRTSDTM | (is.na(AENDTM) &amp; grepl("Ongoing", MHDISTAT))) ~ "PRIOR_CONCOMITANT"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">124</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">125</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">126</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  admh &lt;- admh %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">127</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">128</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(MHSEQ = seq_len(dplyr::n())) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">129</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASEQ = MHSEQ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">130</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">131</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(STUDYID, USUBJID, ASTDTM, MHSEQ)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">132</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">133</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (length(na_vars) &gt; 0 &amp;&amp; na_percentage &gt; 0 &amp;&amp; na_percentage &lt;= 1) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">134</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    admh &lt;- mutate_na(ds = admh, na_vars = na_vars, na_percentage = na_percentage)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">135</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">136</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">137</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # apply metadata</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">138</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  admh &lt;- apply_metadata(admh, "metadata/ADMH.yml")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">139</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">140</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(admh)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">141</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/radae.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Adverse Event Analysis Dataset (ADAE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function for generating random Adverse Event Analysis Dataset for a given</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Subject-Level Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details One record per each record in the corresponding SDTM domain.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Keys: `STUDYID`, `USUBJID`, `ASTDTM`, `AETERM`, `AESEQ`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param max_n_aes (`integer`)\cr Maximum number of AEs per patient. Defaults to 10.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @template param_cached</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @templateVar data adae</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, study_duration = 2, seed = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adae &lt;- radae(adsl, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adae</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' # Add metadata.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' aag &lt;- utils::read.table(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   sep = ",", header = TRUE,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   text = paste(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'     "NAMVAR,SRCVAR,GRPTYPE,REFNAME,REFTERM,SCOPE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">31</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'     "CQ01NAM,AEDECOD,CUSTOM,D.2.1.5.3/A.1.1.1.1 AESI,dcd D.2.1.5.3,",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">32</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'     "CQ01NAM,AEDECOD,CUSTOM,D.2.1.5.3/A.1.1.1.1 AESI,dcd A.1.1.1.1,",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">33</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'     "SMQ01NAM,AEDECOD,SMQ,C.1.1.1.3/B.2.2.3.1 AESI,dcd C.1.1.1.3,BROAD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">34</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'     "SMQ01NAM,AEDECOD,SMQ,C.1.1.1.3/B.2.2.3.1 AESI,dcd B.2.2.3.1,BROAD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">35</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'     "SMQ02NAM,AEDECOD,SMQ,Y.9.9.9.9/Z.9.9.9.9 AESI,dcd Y.9.9.9.9,NARROW",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">36</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'     "SMQ02NAM,AEDECOD,SMQ,Y.9.9.9.9/Z.9.9.9.9 AESI,dcd Z.9.9.9.9,NARROW",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">37</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'     sep = "\n"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">38</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   ), stringsAsFactors = FALSE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">39</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">40</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">41</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adae &lt;- radae(adsl, lookup_aag = aag)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">42</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">43</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' with(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">44</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   adae,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">45</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   cbind(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">46</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'     table(AEDECOD, SMQ01NAM),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">47</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'     table(AEDECOD, CQ01NAM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">48</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">49</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">50</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">radae &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">51</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  max_n_aes = 10L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">52</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  lookup = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">53</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  lookup_aag = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">54</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">55</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_percentage = 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">56</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_vars = list(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">57</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    AEBODSYS = c(NA, 0.1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">58</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    AEDECOD = c(1234, 0.1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">59</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    AETOXGR = c(1234, 0.1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">60</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">61</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  cached = FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">62</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(cached)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">63</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (cached) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">64</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(get_cached_data("cadae"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">65</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">66</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">67</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(adsl)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">68</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(max_n_aes, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">69</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(seed, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">70</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">71</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_true(na_percentage &lt; 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">72</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">73</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # check lookup parameters</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">74</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(lookup, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">75</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  lookup_ae &lt;- if (!is.null(lookup)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">76</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lookup</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">77</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">78</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    tibble::tribble(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">79</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ~AEBODSYS, ~AELLT, ~AEDECOD, ~AEHLT, ~AEHLGT, ~AETOXGR, ~AESOC, ~AESER, ~AEREL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">80</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "cl A.1", "llt A.1.1.1.1", "dcd A.1.1.1.1", "hlt A.1.1.1", "hlgt A.1.1", "1", "cl A", "N", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">81</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "cl A.1", "llt A.1.1.1.2", "dcd A.1.1.1.2", "hlt A.1.1.1", "hlgt A.1.1", "2", "cl A", "Y", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">82</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "cl B.1", "llt B.1.1.1.1", "dcd B.1.1.1.1", "hlt B.1.1.1", "hlgt B.1.1", "5", "cl B", "Y", "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">83</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "cl B.2", "llt B.2.1.2.1", "dcd B.2.1.2.1", "hlt B.2.1.2", "hlgt B.2.1", "3", "cl B", "N", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">84</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "cl B.2", "llt B.2.2.3.1", "dcd B.2.2.3.1", "hlt B.2.2.3", "hlgt B.2.2", "1", "cl B", "Y", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">85</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "cl C.1", "llt C.1.1.1.3", "dcd C.1.1.1.3", "hlt C.1.1.1", "hlgt C.1.1", "4", "cl C", "N", "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">86</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "cl C.2", "llt C.2.1.2.1", "dcd C.2.1.2.1", "hlt C.2.1.2", "hlgt C.2.1", "2", "cl C", "N", "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">87</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "cl D.1", "llt D.1.1.1.1", "dcd D.1.1.1.1", "hlt D.1.1.1", "hlgt D.1.1", "5", "cl D", "Y", "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">88</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "cl D.1", "llt D.1.1.4.2", "dcd D.1.1.4.2", "hlt D.1.1.4", "hlgt D.1.1", "3", "cl D", "N", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">89</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "cl D.2", "llt D.2.1.5.3", "dcd D.2.1.5.3", "hlt D.2.1.5", "hlgt D.2.1", "1", "cl D", "N", "Y"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">90</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">91</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">92</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">93</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(lookup_aag, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">94</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  aag &lt;- if (!is.null(lookup_aag)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">95</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lookup_aag</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">96</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">97</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    aag &lt;- utils::read.table(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">98</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      sep = ",", header = TRUE,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">99</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      text = paste(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">100</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        "NAMVAR,SRCVAR,GRPTYPE,REFNAME,REFTERM,SCOPE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">101</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        "CQ01NAM,AEDECOD,CUSTOM,D.2.1.5.3/A.1.1.1.1 AESI,dcd D.2.1.5.3,",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">102</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        "CQ01NAM,AEDECOD,CUSTOM,D.2.1.5.3/A.1.1.1.1 AESI,dcd A.1.1.1.1,",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">103</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        "SMQ01NAM,AEDECOD,SMQ,C.1.1.1.3/B.2.2.3.1 AESI,dcd C.1.1.1.3,BROAD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">104</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        "SMQ01NAM,AEDECOD,SMQ,C.1.1.1.3/B.2.2.3.1 AESI,dcd B.2.2.3.1,BROAD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">105</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        "SMQ02NAM,AEDECOD,SMQ,Y.9.9.9.9/Z.9.9.9.9 AESI,dcd Y.9.9.9.9,NARROW",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">106</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        "SMQ02NAM,AEDECOD,SMQ,Y.9.9.9.9/Z.9.9.9.9 AESI,dcd Z.9.9.9.9,NARROW",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">107</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        sep = "\n"</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">108</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ), stringsAsFactors = FALSE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">109</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">110</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">111</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">112</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">113</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  study_duration_secs &lt;- lubridate::seconds(attr(adsl, "study_duration_secs"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">114</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">115</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adae &lt;- Map(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">116</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    function(id, sid) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">117</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      n_aes &lt;- sample(c(0, seq_len(max_n_aes)), 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">118</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      i &lt;- sample(seq_len(nrow(lookup_ae)), n_aes, TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">119</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">120</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        lookup_ae[i, ],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">121</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        USUBJID = id,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">122</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        STUDYID = sid</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">123</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">124</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    },</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">125</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl$USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">126</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl$STUDYID</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">127</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">128</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    Reduce(rbind, .) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">129</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    `[`(c(10, 11, 1, 2, 3, 4, 5, 6, 7, 8, 9)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">130</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AETERM = gsub("dcd", "trm", AEDECOD)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">131</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AESEV = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">132</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AETOXGR == 1 ~ "MILD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">133</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AETOXGR %in% c(2, 3) ~ "MODERATE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">134</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AETOXGR %in% c(4, 5) ~ "SEVERE"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">135</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">136</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">137</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adae &lt;- var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">138</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adae,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">139</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = "Study Identifier",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">140</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = "Unique Subject Identifier"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">141</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">142</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">143</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # merge adsl to be able to add AE date and study day variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">144</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adae &lt;- dplyr::inner_join(adae, adsl, by = c("STUDYID", "USUBJID")) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">145</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::rowwise() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">146</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(TRTENDT = lubridate::date(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">147</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      is.na(TRTEDTM) ~ lubridate::floor_date(lubridate::date(TRTSDTM) + study_duration_secs, unit = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">148</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ TRTEDTM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">149</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">150</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASTDTM = sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">151</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      seq(lubridate::as_datetime(TRTSDTM), lubridate::as_datetime(TRTENDT), by = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">152</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      size = 1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">153</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">154</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASTDY = ceiling(difftime(ASTDTM, TRTSDTM, units = "days"))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">155</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    # add 1 to end of range incase both values passed to sample() are the same</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">156</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AENDTM = sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">157</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      seq(lubridate::as_datetime(ASTDTM), lubridate::as_datetime(TRTENDT + 1), by = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">158</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      size = 1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">159</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">160</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AENDY = ceiling(difftime(AENDTM, TRTSDTM, units = "days"))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">161</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(LDOSEDTM = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">162</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRTSDTM &lt; ASTDTM ~ lubridate::as_datetime(stats::runif(1, TRTSDTM, ASTDTM)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">163</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ ASTDTM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">164</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">165</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(LDRELTM = as.numeric(difftime(ASTDTM, LDOSEDTM, units = "mins"))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">166</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-TRTENDT) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">167</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">168</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(STUDYID, USUBJID, ASTDTM, AETERM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">169</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">170</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adae &lt;- adae %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">171</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">172</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AESEQ = seq_len(dplyr::n())) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">173</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASEQ = AESEQ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">174</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">175</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">176</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">177</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">178</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ASTDTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">179</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AETERM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">180</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AESEQ</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">181</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">182</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">183</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  outcomes &lt;- c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">184</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "UNKNOWN",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">185</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "NOT RECOVERED/NOT RESOLVED",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">186</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "RECOVERED/RESOLVED WITH SEQUELAE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">187</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "RECOVERING/RESOLVING",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">188</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "RECOVERED/RESOLVED"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">189</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">190</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">191</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  actions &lt;- c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">192</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "DOSE RATE REDUCED",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">193</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "UNKNOWN",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">194</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "NOT APPLICABLE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">195</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "DRUG INTERRUPTED",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">196</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "DRUG WITHDRAWN",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">197</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "DOSE INCREASED",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">198</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "DOSE NOT CHANGED",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">199</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "DOSE REDUCED",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">200</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "NOT EVALUABLE"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">201</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">202</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">203</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adae &lt;- adae %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">204</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AEOUT = factor(ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">205</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AETOXGR == "5",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">206</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "FATAL",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">207</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      as.character(sample_fct(outcomes, nrow(adae), prob = c(0.1, 0.2, 0.1, 0.3, 0.3)))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">208</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">209</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AEACN = factor(ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">210</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AETOXGR == "5",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">211</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "NOT EVALUABLE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">212</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      as.character(sample_fct(actions, nrow(adae), prob = c(0.05, 0.05, 0.05, 0.01, 0.05, 0.1, 0.45, 0.1, 0.05)))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">213</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">214</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AESDTH = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">215</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AEOUT == "FATAL" ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">216</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ "N"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">217</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">218</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(TRTEMFL = ifelse(ASTDTM &gt;= TRTSDTM, "Y", "")) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">219</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AECONTRT = sample(c("Y", "N"), prob = c(0.4, 0.6), size = dplyr::n(), replace = TRUE)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">220</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">221</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ANL01FL = ifelse(TRTEMFL == "Y" &amp; ASTDTM &lt;= TRTEDTM + lubridate::month(1), "Y", "")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">222</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">223</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ANL01FL = ifelse(is.na(ANL01FL), "", ANL01FL))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">224</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">225</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adae &lt;- adae %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">226</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AERELNST = sample(c("Y", "N"), prob = c(0.4, 0.6), size = dplyr::n(), replace = TRUE)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">227</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AEACNOTH = sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">228</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      x = c("MEDICATION", "PROCEDURE/SURGERY", "SUBJECT DISCONTINUED FROM STUDY", "NONE"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">229</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      prob = c(0.2, 0.4, 0.2, 0.2),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">230</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      size = dplyr::n(),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">231</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      replace = TRUE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">232</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">233</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">234</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Split metadata for AEs of special interest (AESI).</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">235</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  l_aag &lt;- split(aag, interaction(aag$NAMVAR, aag$SRCVAR, aag$GRPTYPE, drop = TRUE))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">236</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">237</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Create AESI flags</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">238</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  l_aesi &lt;- lapply(l_aag, function(d_adag, d_adae) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">239</td>
-                    <td class="coverage">9<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    names(d_adag)[names(d_adag) == "REFTERM"] &lt;- d_adag$SRCVAR[1]</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">240</td>
-                    <td class="coverage">9<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    names(d_adag)[names(d_adag) == "REFNAME"] &lt;- d_adag$NAMVAR[1]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">241</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">242</td>
-                    <td class="coverage">9<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    if (d_adag$GRPTYPE[1] == "CUSTOM") {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">243</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      d_adag &lt;- d_adag[-which(names(d_adag) == "SCOPE")]</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">244</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    } else if (d_adag$GRPTYPE[1] == "SMQ") {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">245</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      names(d_adag)[names(d_adag) == "SCOPE"] &lt;- paste0(substr(d_adag$NAMVAR[1], 1, 5), "SC")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">246</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">247</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">248</td>
-                    <td class="coverage">9<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    d_adag &lt;- d_adag[-which(names(d_adag) %in% c("NAMVAR", "SRCVAR", "GRPTYPE"))]</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">249</td>
-                    <td class="coverage">9<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    d_new &lt;- dplyr::left_join(x = d_adae, y = d_adag, by = intersect(names(d_adae), names(d_adag)))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">250</td>
-                    <td class="coverage">9<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    d_new[, dplyr::setdiff(names(d_new), names(d_adae)), drop = FALSE]</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">251</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }, adae)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">252</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">253</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adae &lt;- dplyr::bind_cols(adae, l_aesi)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">254</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">255</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adae &lt;- dplyr::mutate(adae, AERELNST = sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">256</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    x = c("CONCURRENT ILLNESS", "OTHER", "DISEASE UNDER STUDY", "NONE"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">257</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    prob = c(0.3, 0.3, 0.3, 0.1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">258</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    size = dplyr::n(),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">259</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    replace = TRUE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">260</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">261</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">262</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">263</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adae &lt;- adae %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">264</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AES_FLAG = sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">265</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      x = c("AESLIFE", "AESHOSP", "AESDISAB", "AESCONG", "AESMIE"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">266</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      prob = c(0.1, 0.2, 0.2, 0.2, 0.3),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">267</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      size = dplyr::n(),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">268</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      replace = TRUE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">269</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">270</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AES_FLAG = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">271</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AESDTH == "Y" ~ "AESDTH",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">272</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ AES_FLAG</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">273</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">274</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">275</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AESCONG = ifelse(AES_FLAG == "AESCONG", "Y", "N"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">276</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AESDISAB = ifelse(AES_FLAG == "AESDISAB", "Y", "N"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">277</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AESHOSP = ifelse(AES_FLAG == "AESHOSP", "Y", "N"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">278</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AESLIFE = ifelse(AES_FLAG == "AESLIFE", "Y", "N"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">279</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AESMIE = ifelse(AES_FLAG == "AESMIE", "Y", "N")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">280</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">281</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-"AES_FLAG")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">282</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">283</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (length(na_vars) &gt; 0 &amp;&amp; na_percentage &gt; 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">284</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adae &lt;- mutate_na(ds = adae, na_vars = na_vars, na_percentage = na_percentage)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">285</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">286</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">287</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # apply metadata</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">288</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adae &lt;- apply_metadata(adae, "metadata/ADAE.yml")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">289</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">290</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(adae)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">291</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/radeg.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' ECG Analysis Dataset (ADEG)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function for generating random dataset from ECG Analysis Dataset for a given</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Subject-Level Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details One record per subject per parameter per analysis visit per analysis date.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Keys: `STUDYID`, `USUBJID`, `PARAMCD`, `BASETYPE`, `AVISITN`, `ATPTN`, `DTYPE`, `ADTM`, `EGSEQ`, `ASPID`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param egcat (`character vector`)\cr EG category values.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param max_n_eg (`integer`)\cr Maximum number of EG results per patient. Defaults to 10.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @template param_cached</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @templateVar data adeg</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @author tomlinsj, npaszty, Xuefeng Hou, dipietrc</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, seed = 1, study_duration = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adeg &lt;- radeg(adsl, visit_format = "WEEK", n_assessments = 7L, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adeg</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adeg &lt;- radeg(adsl, visit_format = "CYCLE", n_assessments = 2L, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adeg</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">31</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">radeg &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">32</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  egcat = c("INTERVAL", "INTERVAL", "MEASUREMENT", "FINDING"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">33</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  param = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">34</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "QT Duration",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">35</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "RR Duration",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">36</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Heart Rate",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">37</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "ECG Interpretation"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">38</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">39</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  paramcd = c("QT", "RR", "HR", "ECGINTP"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">40</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  paramu = c("msec", "msec", "beats/min", ""),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">41</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  visit_format = "WEEK",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">42</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  n_assessments = 5L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">43</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  n_days = 5L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">44</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  max_n_eg = 10L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">45</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  lookup = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">46</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">47</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_percentage = 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">48</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_vars = list(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">49</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    ABLFL = c(1235, 0.1), BASE = c(NA, 0.1), BASEC = c(NA, 0.1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">50</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    CHG = c(1234, 0.1), PCHG = c(1234, 0.1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">51</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">52</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  cached = FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">53</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(cached)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">54</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (cached) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">55</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(get_cached_data("cadeg"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">56</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">57</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">58</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(adsl)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">59</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(egcat, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">60</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(param, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">61</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(paramcd, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">62</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(paramu, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">63</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_string(visit_format)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">64</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(n_assessments, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">65</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(n_days, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">66</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(max_n_eg, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">67</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(lookup, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">68</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(seed, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">69</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">70</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_true(na_percentage &lt; 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">71</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">72</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # validate and initialize related variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">73</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  egcat_init_list &lt;- relvar_init(param, egcat)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">74</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  param_init_list &lt;- relvar_init(param, paramcd)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">75</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  unit_init_list &lt;- relvar_init(param, paramu)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">76</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">77</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">78</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">79</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">80</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  study_duration_secs &lt;- lubridate::seconds(attr(adsl, "study_duration_secs"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">81</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">82</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- expand.grid(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">83</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = unique(adsl$STUDYID),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">84</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = adsl$USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">85</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAM = as.factor(param_init_list$relvar1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">86</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVISIT = visit_schedule(visit_format = visit_format, n_assessments = n_assessments, n_days = n_days),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">87</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    stringsAsFactors = FALSE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">88</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">89</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">90</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # assign related variable values: PARAMxEGCAT are related</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">91</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- adeg %&gt;% rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">92</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_name = "EGCAT",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">93</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    related_var = "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">94</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_values = egcat_init_list$relvar2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">95</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">96</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">97</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # assign related variable values: PARAMxPARAMCD are related</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">98</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- adeg %&gt;% rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">99</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_name = "PARAMCD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">100</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    related_var = "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">101</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_values = param_init_list$relvar2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">102</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">103</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">104</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- adeg %&gt;% dplyr::mutate(AVAL = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">105</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == "QT" ~ stats::rnorm(nrow(adeg), mean = 350, sd = 100),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">106</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == "RR" ~ stats::rnorm(nrow(adeg), mean = 1050, sd = 300),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">107</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == "HR" ~ stats::rnorm(nrow(adeg), mean = 70, sd = 20),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">108</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == "ECGINTP" ~ NA_real_</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">109</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">110</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">111</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- adeg %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">112</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(EGTESTCD = PARAMCD) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">113</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(EGTEST = PARAM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">114</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">115</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- adeg %&gt;% dplyr::mutate(AVISITN = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">116</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVISIT == "SCREENING" ~ -1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">117</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVISIT == "BASELINE" ~ 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">118</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    (grepl("^WEEK", AVISIT) | grepl("^CYCLE", AVISIT)) ~ as.numeric(AVISIT) - 2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">119</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    TRUE ~ NA_real_</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">120</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">121</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">122</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- adeg %&gt;% rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">123</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_name = "AVALU",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">124</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    related_var = "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">125</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_values = unit_init_list$relvar2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">126</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">127</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">128</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # order to prepare for change from screening and baseline values</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">129</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- adeg[order(adeg$STUDYID, adeg$USUBJID, adeg$PARAMCD, adeg$AVISITN), ]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">130</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">131</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- Reduce(rbind, lapply(split(adeg, adeg$USUBJID), function(x) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">132</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    x$STUDYID &lt;- adsl$STUDYID[which(adsl$USUBJID == x$USUBJID[1])]</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">133</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    x$ABLFL &lt;- ifelse(toupper(visit_format) == "WEEK" &amp; x$AVISIT == "BASELINE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">134</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">135</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ifelse(toupper(visit_format) == "CYCLE" &amp; x$AVISIT == "CYCLE 1 DAY 1", "Y", "")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">136</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">137</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    x</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">138</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">139</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">140</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg$BASE &lt;- ifelse(adeg$AVISITN &gt;= 0, retain(adeg, adeg$AVAL, adeg$ABLFL == "Y"), adeg$AVAL)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">141</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">142</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- adeg %&gt;% dplyr::mutate(ANRLO = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">143</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == "QT" ~ 200,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">144</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == "RR" ~ 600,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">145</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == "HR" ~ 40,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">146</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == "ECGINTP" ~ NA_real_</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">147</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">148</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">149</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- adeg %&gt;% dplyr::mutate(ANRHI = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">150</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == "QT" ~ 500,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">151</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == "RR" ~ 1500,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">152</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == "HR" ~ 100,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">153</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == "ECGINTP" ~ NA_real_</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">154</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">155</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">156</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- adeg %&gt;% dplyr::mutate(ANRIND = factor(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">157</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVAL &lt; ANRLO ~ "LOW",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">158</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVAL &gt;= ANRLO &amp; AVAL &lt;= ANRHI ~ "NORMAL",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">159</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVAL &gt; ANRHI ~ "HIGH"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">160</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">161</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">162</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- adeg %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">163</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(CHG = ifelse(AVISITN &gt; 0, AVAL - BASE, NA)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">164</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(PCHG = ifelse(AVISITN &gt; 0, 100 * (CHG / BASE), NA)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">165</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(BASETYPE = "LAST") %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">166</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID, PARAMCD, BASETYPE) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">167</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(BNRIND = ANRIND[ABLFL == "Y"]) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">168</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">169</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ATPTN = 1) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">170</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(DTYPE = NA) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">171</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">172</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID = attr(adeg$STUDYID, "label"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">173</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID = attr(adeg$USUBJID, "label")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">174</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">175</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">176</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg$ANRIND &lt;- factor(adeg$ANRIND, levels = c("LOW", "NORMAL", "HIGH"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">177</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg$BNRIND &lt;- factor(adeg$BNRIND, levels = c("LOW", "NORMAL", "HIGH"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">178</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">179</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">180</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adeg,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">181</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = "Study Identifier",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">182</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = "Unique Subject Identifier"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">183</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">184</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">185</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # merge ADSL to be able to add EG date and study day variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">186</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- dplyr::inner_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">187</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adeg,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">188</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">189</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = c("STUDYID", "USUBJID")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">190</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">191</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::rowwise() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">192</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(TRTENDT = lubridate::date(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">193</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      is.na(TRTEDTM) ~ lubridate::floor_date(lubridate::date(TRTSDTM) + study_duration_secs, unit = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">194</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ TRTEDTM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">195</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">196</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">197</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">198</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- adeg %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">199</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">200</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(USUBJID, AVISITN) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">201</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ADTM = rep(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">202</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      sort(sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">203</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        seq(lubridate::as_datetime(TRTSDTM[1]), lubridate::as_datetime(TRTENDT[1]), by = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">204</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        size = nlevels(AVISIT)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">205</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">206</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      each = n() / nlevels(AVISIT)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">207</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">208</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">209</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ADY = ceiling(difftime(ADTM, TRTSDTM, units = "days"))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">210</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-TRTENDT) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">211</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(STUDYID, USUBJID, ADTM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">212</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">213</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- adeg %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">214</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASPID = sample(seq_len(dplyr::n()))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">215</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">216</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(EGSEQ = seq_len(dplyr::n())) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">217</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASEQ = EGSEQ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">218</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">219</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">220</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">221</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">222</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">223</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BASETYPE,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">224</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISITN,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">225</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATPTN,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">226</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      DTYPE,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">227</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">228</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      EGSEQ,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">229</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ASPID</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">230</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">231</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">232</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- adeg %&gt;% dplyr::mutate(ONTRTFL = factor(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">233</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    !AVISIT %in% c("SCREENING", "BASELINE") ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">234</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    TRUE ~ ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">235</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">236</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">237</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- adeg %&gt;% dplyr::mutate(AVALC = ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">238</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == "ECGINTP",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">239</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    as.character(sample_fct(c("ABNORMAL", "NORMAL"), nrow(adeg), prob = c(0.25, 0.75))),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">240</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    as.character(AVAL)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">241</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">242</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">243</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Temporarily creating a row_check column to easily match newly created</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">244</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # observations with their row correct arrangement.</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">245</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- adeg %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">246</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(row_check = seq_len(nrow(adeg)))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">247</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">248</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Created function to add in new observations for DTYPE, "MINIMUM" &amp; "MAXIMUM" in this case.</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">249</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  get_groups &lt;- function(data,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">250</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                         minimum) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">251</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    data &lt;- data %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">252</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::group_by(USUBJID, PARAMCD, BASETYPE) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">253</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::arrange(ADTM, ASPID, EGSEQ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">254</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::filter(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">255</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (AVISIT != "BASELINE" &amp; AVISIT != "SCREENING") &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">256</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          (ONTRTFL == "Y" | ADTM &lt;= TRTSDTM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">257</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">258</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">259</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        if (minimum == TRUE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">260</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          dplyr::filter(., AVAL == min(AVAL)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">261</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            dplyr::mutate(., DTYPE = "MINIMUM", AVISIT = "POST-BASELINE MINIMUM")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">262</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">263</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          dplyr::filter(., AVAL == max(AVAL)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">264</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            dplyr::mutate(., DTYPE = "MAXIMUM", AVISIT = "POST-BASELINE MAXIMUM")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">265</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">266</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">267</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::slice(1) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">268</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::ungroup()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">269</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">270</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(data)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">271</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">272</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">273</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Binding the new observations to the dataset from the function above and rearranging in the correct order.</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">274</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- rbind(adeg, get_groups(adeg, TRUE), get_groups(adeg, FALSE)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">275</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(row_check) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">276</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID, PARAMCD, BASETYPE) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">277</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(AVISIT, .by_group = TRUE) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">278</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">279</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">280</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Dropping the "row_check" column created above.</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">281</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- adeg[, -which(names(adeg) %in% c("row_check"))]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">282</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">283</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Created function to easily match rows which comply to ONTRTFL derivation</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">284</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  flag_variables &lt;- function(data, worst_obs) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">285</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    data_compare &lt;- data %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">286</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::mutate(row_check = seq_len(nrow(data)))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">287</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">288</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    data &lt;- data_compare %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">289</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">290</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        if (worst_obs == FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">291</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          dplyr::group_by(., USUBJID, PARAMCD, BASETYPE, AVISIT) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">292</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            dplyr::arrange(., ADTM, ASPID, EGSEQ)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">293</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">294</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          dplyr::group_by(., USUBJID, PARAMCD, BASETYPE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">295</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">296</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">297</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::filter(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">298</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AVISITN &gt; 0 &amp; (ONTRTFL == "Y" | ADTM &lt;= TRTSDTM) &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">299</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          is.na(DTYPE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">300</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">301</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">302</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        if (worst_obs == TRUE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">303</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          dplyr::arrange(., AVALC) %&gt;% dplyr::filter(., ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">304</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            PARAMCD == "ECGINTP",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">305</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            ifelse(AVALC == "ABNORMAL", AVALC == "ABNORMAL", AVALC == "NORMAL"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">306</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            AVAL == min(AVAL)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">307</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">308</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">309</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          dplyr::filter(., ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">310</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            PARAMCD == "ECGINTP",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">311</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            AVALC == "ABNORMAL" | AVALC == "NORMAL",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">312</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            AVAL == min(AVAL)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">313</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">314</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">315</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">316</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::slice(1) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">317</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">318</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        if (worst_obs == TRUE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">319</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          dplyr::mutate(., new_var = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">320</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            (AVALC == "ABNORMAL" | AVALC == "NORMAL") ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">321</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            (!is.na(AVAL) &amp; is.na(DTYPE)) ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">322</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            TRUE ~ ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">323</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">324</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">325</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          dplyr::mutate(., new_var = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">326</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            (AVALC == "ABNORMAL" | AVALC == "NORMAL") ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">327</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            (!is.na(AVAL) &amp; is.na(DTYPE)) ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">328</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            TRUE ~ ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">329</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">330</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">331</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">332</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::ungroup()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">333</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">334</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    data_compare$new_var &lt;- ifelse(data_compare$row_check %in% data$row_check, "Y", "")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">335</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    data_compare &lt;- data_compare[, -which(names(data_compare) %in% c("row_check"))]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">336</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">337</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(data_compare)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">338</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">339</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">340</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- flag_variables(adeg, FALSE) %&gt;% dplyr::rename(WORS01FL = "new_var")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">341</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- flag_variables(adeg, TRUE) %&gt;% dplyr::rename(WORS02FL = "new_var")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">342</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">343</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- adeg %&gt;% dplyr::mutate(ANL01FL = factor(ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">344</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    (ABLFL == "Y" | (is.na(DTYPE) &amp; WORS01FL == "Y")) &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">345</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      (AVISIT != "SCREENING"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">346</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">347</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">348</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">349</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">350</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- adeg %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">351</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID, PARAMCD, BASETYPE) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">352</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(BASEC = ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">353</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "ECGINTP",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">354</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVALC[AVISIT == "BASELINE"],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">355</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      as.character(BASE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">356</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">357</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ANL03FL = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">358</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      DTYPE == "MINIMUM" ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">359</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ABLFL == "Y" &amp; PARAMCD != "ECGINTP" ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">360</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">361</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">362</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ANL04FL = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">363</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      DTYPE == "MAXIMUM" ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">364</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ABLFL == "Y" &amp; PARAMCD != "ECGINTP" ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">365</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">366</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">367</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">368</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">369</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (length(na_vars) &gt; 0 &amp;&amp; na_percentage &gt; 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">370</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adeg &lt;- mutate_na(ds = adeg, na_vars = na_vars, na_percentage = na_percentage)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">371</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">372</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">373</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # apply metadata</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">374</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adeg &lt;- apply_metadata(adeg, "metadata/ADEG.yml")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">375</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">376</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(adeg)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">377</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/radaette.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Time to Adverse Event Analysis Dataset (ADAETTE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function to generate random Time-to-AE Dataset for a</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' given Subject-Level Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Keys: `STUDYID`, `USUBJID`, `PARAMCD`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param event_descr (`character vector`)\cr Descriptions of events. Defaults to `NULL`.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param censor_descr (`character vector`)\cr Descriptions of censors. Defaults to `NULL`.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @template param_cached</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @templateVar data adaette</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @author Xiuting Mi</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, seed = 1, study_duration = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adaette &lt;- radaette(adsl, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adaette</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">radaette &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                     event_descr = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                     censor_descr = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">31</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                     lookup = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">32</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                     seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">33</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                     na_percentage = 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">34</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                     na_vars = list(CNSR = c(NA, 0.1), AVAL = c(1234, 0.1)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">35</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                     cached = FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">36</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(cached)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">37</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (cached) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">38</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(get_cached_data("cadaette"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">39</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">40</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">41</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(adsl)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">42</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(censor_descr, null.ok = TRUE, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">43</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(event_descr, null.ok = TRUE, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">44</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(seed, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">45</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">46</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_true(na_percentage &lt; 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">47</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">48</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(lookup, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">49</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  lookup_adaette &lt;- if (!is.null(lookup)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">50</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lookup</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">51</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">52</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    tibble::tribble(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">53</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ~ARM, ~CATCD, ~CAT, ~LAMBDA, ~CNSR_P,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">54</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM A", "1", "any adverse event", 1 / 80, 0.4,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">55</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM B", "1", "any adverse event", 1 / 100, 0.2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">56</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM C", "1", "any adverse event", 1 / 60, 0.42,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">57</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM A", "2", "any serious adverse event", 1 / 100, 0.3,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">58</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM B", "2", "any serious adverse event", 1 / 150, 0.1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">59</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM C", "2", "any serious adverse event", 1 / 80, 0.32,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">60</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM A", "3", "a grade 3-5 adverse event", 1 / 80, 0.2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">61</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM B", "3", "a grade 3-5 adverse event", 1 / 100, 0.08,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">62</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM C", "3", "a grade 3-5 adverse event", 1 / 60, 0.23</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">63</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">64</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">65</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">66</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">67</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">68</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">69</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  study_duration_secs &lt;- lubridate::seconds(attr(adsl, "study_duration_secs"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">70</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">71</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  evntdescr_sel &lt;- if (!is.null(event_descr)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">72</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    event_descr</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">73</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">74</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "Preferred Term"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">75</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">76</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">77</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  cnsdtdscr_sel &lt;- if (!is.null(censor_descr)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">78</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    censor_descr</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">79</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">80</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">81</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Clinical Cut Off",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">82</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Completion or Discontinuation",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">83</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "End of AE Reporting Period"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">84</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">85</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">86</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">87</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  random_patient_data &lt;- function(patient_info) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">88</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    startdt &lt;- lubridate::date(patient_info$TRTSDTM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">89</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    trtedtm &lt;- lubridate::floor_date(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">90</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      is.na(patient_info$TRTEDTM) ~ lubridate::date(patient_info$TRTSDTM) + study_duration_secs,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">91</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ lubridate::date(patient_info$TRTEDTM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">92</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ), unit = "day")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">93</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    enddts &lt;- c(patient_info$EOSDT, lubridate::date(trtedtm))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">94</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    enddts_min_index &lt;- which.min(enddts)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">95</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adt &lt;- enddts[enddts_min_index]</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">96</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adtm &lt;- lubridate::as_datetime(adt)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">97</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ady &lt;- as.numeric(adt - startdt + 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">98</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    data.frame(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">99</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ARM = patient_info$ARM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">100</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID = patient_info$STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">101</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      SITEID = patient_info$SITEID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">102</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID = patient_info$USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">103</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD = "AEREPTTE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">104</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAM = "Time to end of AE reporting period",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">105</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      CNSR = 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">106</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL = lubridate::days(ady) / lubridate::years(1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">107</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVALU = "YEARS",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">108</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      EVNTDESC = ifelse(enddts_min_index == 1, "Completion or Discontinuation", "End of AE Reporting Period"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">109</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      CNSDTDSC = NA,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">110</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADTM = adtm,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">111</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADY = ady,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">112</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      stringsAsFactors = FALSE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">113</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">114</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">115</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">116</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # validate and initialize related variables for Hy's law</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">117</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  paramcd_hy &lt;- c("HYSTTEUL", "HYSTTEBL")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">118</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  param_hy &lt;- c("Time to Hy's Law Elevation in relation to ULN", "Time to Hy's Law Elevation in relation to Baseline")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">119</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  param_init_list &lt;- relvar_init(param_hy, paramcd_hy)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">120</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsl_hy &lt;- dplyr::select(adsl, "STUDYID", "USUBJID", "TRTSDTM", "SITEID", "ARM")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">121</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">122</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # create all combinations of unique values in STUDYID, USUBJID, PARAM, AVISIT</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">123</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adaette_hy &lt;- expand.grid(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">124</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = unique(adsl$STUDYID),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">125</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = adsl$USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">126</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAM = as.factor(param_init_list$relvar1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">127</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    stringsAsFactors = FALSE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">128</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">129</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">130</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Add other variables to adaette_hy</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">131</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adaette_hy &lt;- dplyr::left_join(adaette_hy, adsl_hy, by = c("STUDYID", "USUBJID")) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">132</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">133</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      var_name = "PARAMCD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">134</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      related_var = "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">135</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      var_values = param_init_list$relvar2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">136</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">137</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">138</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      CNSR = sample(c(0, 1), prob = c(0.1, 0.9), size = dplyr::n(), replace = TRUE),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">139</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      EVNTDESC = dplyr::if_else(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">140</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        CNSR == 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">141</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        "First Post-Baseline Raised ALT or AST Elevation Result",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">142</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        NA_character_</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">143</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">144</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      CNSDTDSC = dplyr::if_else(CNSR == 0, NA_character_,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">145</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        sample(c("Last Post-Baseline ALT or AST Result", "Treatment Start"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">146</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          prob = c(0.9, 0.1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">147</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          size = dplyr::n(), replace = TRUE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">148</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">149</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">150</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">151</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::rowwise() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">152</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ADTM = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">153</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      CNSDTDSC == "Treatment Start" ~ TRTSDTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">154</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ TRTSDTM + sample(seq(0, study_duration_secs), size = dplyr::n(), replace = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">155</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">156</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">157</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADY_int = lubridate::date(ADTM) - lubridate::date(TRTSDTM) + 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">158</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADY = as.numeric(ADY_int),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">159</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL = lubridate::days(ADY_int) / lubridate::weeks(1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">160</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVALU = "WEEKS"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">161</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">162</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-TRTSDTM, -ADY_int)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">163</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">164</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  random_ae_data &lt;- function(lookup_info, patient_info, patient_data) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">165</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    cnsr &lt;- sample(c(0, 1), 1, prob = c(1 - lookup_info$CNSR_P, lookup_info$CNSR_P))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">166</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ae_rep_tte &lt;- patient_data$AVAL[patient_data$PARAMCD == "AEREPTTE"]</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">167</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    data.frame(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">168</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ARM = rep(patient_data$ARM, 2),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">169</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID = rep(patient_data$STUDYID, 2),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">170</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      SITEID = rep(patient_data$SITEID, 2),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">171</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID = rep(patient_data$USUBJID, 2),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">172</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">173</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        paste0("AETTE", lookup_info$CATCD),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">174</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        paste0("AETOT", lookup_info$CATCD)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">175</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">176</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAM = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">177</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        paste("Time to first occurrence of", lookup_info$CAT),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">178</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        paste("Number of occurrences of", lookup_info$CAT)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">179</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">180</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      CNSR = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">181</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        cnsr,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">182</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">183</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">184</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">185</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        # We generate these values conditional on the censoring information.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">186</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        # If this time to event is censored, then there were no AEs reported and the time is set</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">187</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        # to the AE reporting period time. Otherwise we draw from truncated distributions to make</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">188</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        # sure that we are within the AE reporting time and above 0 AEs.</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">189</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ifelse(cnsr == 1, ae_rep_tte, rtexp(1, lookup_info$LAMBDA * 365.25, r = ae_rep_tte)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">190</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ifelse(cnsr == 1, 0, rtpois(1, lookup_info$LAMBDA * 365.25))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">191</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">192</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVALU = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">193</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        "YEARS",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">194</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">195</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">196</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      EVNTDESC = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">197</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ifelse(cnsr == 0, sample(evntdescr_sel, 1), ""),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">198</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">199</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">200</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      CNSDTDSC = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">201</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ifelse(cnsr == 1, sample(cnsdtdscr_sel, 1), ""),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">202</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">203</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">204</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      stringsAsFactors = FALSE</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">205</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;% dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">206</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADY = dplyr::if_else(is.na(AVALU), NA_real_, ceiling(as.numeric(lubridate::dyears(AVAL), "days"))),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">207</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADTM = dplyr::if_else(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">208</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        is.na(AVALU),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">209</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        lubridate::as_datetime(NA),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">210</td>
-                    <td class="coverage">150<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        patient_info$TRTSDTM + lubridate::days(ADY)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">211</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">212</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">213</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">214</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">215</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adaette &lt;- split(adsl, adsl$USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">216</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lapply(function(patient_info) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">217</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      patient_data &lt;- random_patient_data(patient_info)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">218</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      lookup_arm &lt;- lookup_adaette %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">219</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::filter(ARM == as.character(patient_info$ARMCD))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">220</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ae_data &lt;- split(lookup_arm, lookup_arm$CATCD) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">221</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        lapply(random_ae_data, patient_data = patient_data, patient_info = patient_info) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">222</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        Reduce(rbind, .)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">223</td>
-                    <td class="coverage">50<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::bind_rows(patient_data, ae_data)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">224</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    }) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">225</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    Reduce(rbind, .) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">226</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">227</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID = "Study Identifier",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">228</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID = "Unique Subject Identifier"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">229</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">230</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">231</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adaette &lt;- var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">232</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adaette,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">233</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = "Study Identifier",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">234</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = "Unique Subject Identifier"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">235</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">236</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">237</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adaette &lt;- rbind(adaette, adaette_hy)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">238</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">239</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adaette &lt;- dplyr::inner_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">240</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(adaette, -"SITEID", -"ARM"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">241</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">242</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = c("STUDYID", "USUBJID")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">243</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">244</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">245</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(ADTM) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">246</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(TTESEQ = seq_len(dplyr::n())) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">247</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASEQ = TTESEQ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">248</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(PARAM = as.factor(PARAM)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">249</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(PARAMCD = as.factor(PARAMCD)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">250</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">251</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">252</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">253</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">254</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">255</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">256</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TTESEQ</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">257</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">258</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">259</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (length(na_vars) &gt; 0 &amp;&amp; na_percentage &gt; 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">260</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adaette &lt;- dplyr::mutate(ds = adaette, na_vars = na_vars, na_percentage = na_percentage)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">261</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">262</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">263</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # apply metadata</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">264</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adaette &lt;- apply_metadata(adaette, "metadata/ADAETTE.yml")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">265</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">266</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(adaette)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">267</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/utils.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Load Cached Data</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Return data attached to package.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @keywords internal</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @noRd</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">get_cached_data &lt;- function(dataname) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">8</td>
-                    <td class="coverage">22<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_string(dataname)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">9</td>
-                    <td class="coverage">22<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!("package:random.cdisc.data" %in% search())) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">10</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    stop("cached data can only be loaded if the random.cdisc.data package is attached.",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">11</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Please run library(random.cdisc.data) before loading cached data.",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">12</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      call. = FALSE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">15</td>
-                    <td class="coverage">21<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    get(dataname, envir = asNamespace("random.cdisc.data"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Create a Factor with Random Elements of x</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Sample elements from `x` with replacement to build a factor.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param x (`character vector` or `factor`)\cr If character vector then it is also used</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   as levels of the returned factor. If factor then the levels are used as the new levels.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param N (`numeric`)\cr Number of items to choose.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param ... Additional arguments to be passed to `sample`.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return A factor of length `N`.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">31</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">32</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' sample_fct(letters[1:3], 10)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">33</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' sample_fct(iris$Species, 10)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">34</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">sample_fct &lt;- function(x, N, ...) { # nolint</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">35</td>
-                    <td class="coverage">296<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(N)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">36</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">37</td>
-                    <td class="coverage">296<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  factor(sample(x, N, replace = TRUE, ...), levels = if (is.factor(x)) levels(x) else x)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">38</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">39</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">40</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Related Variables: Initialize</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">41</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">42</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Verify and initialize related variable values.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">43</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' For example, `relvar_init("Alanine Aminotransferase Measurement", "ALT")`.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">44</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">45</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param relvar1 (`list` of `character`)\cr List of n elements.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">46</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param relvar2 (`list` of `character`)\cr List of n elements.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">47</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">48</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return A vector of n elements.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">49</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">50</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @keywords internal</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">51</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">relvar_init &lt;- function(relvar1, relvar2) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">52</td>
-                    <td class="coverage">64<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(relvar1, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">53</td>
-                    <td class="coverage">64<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(relvar2, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">54</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">55</td>
-                    <td class="coverage">64<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (length(relvar1) != length(relvar2)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">56</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    message(simpleError(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">57</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "The argument value length of relvar1 and relvar2 differ. They must contain the same number of elements."</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">58</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">59</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(NA)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">60</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">61</td>
-                    <td class="coverage">63<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(list("relvar1" = relvar1, "relvar2" = relvar2))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">62</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">63</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">64</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Related Variables: Assign</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">65</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">66</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Assign values to a related variable within a domain.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">67</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">68</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param df (`data.frame`)\cr Data frame containing the related variables.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">69</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param var_name (`character`)\cr Name of variable related to `rel_var` to add to `df`.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">70</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param var_values (`any`)\cr Vector of values related to values of `related_var`.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">71</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param related_var (`character`)\cr Name of variable within `df` with values to which values</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">72</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' of `var_name` must relate.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">73</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">74</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `df` with added factor variable `var_name` containing `var_values` corresponding to `related_var`.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">75</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">76</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">77</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">78</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' # Example with data.frame.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">79</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' params &lt;- c("Level A", "Level B", "Level C")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">80</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adlb_df &lt;- data.frame(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">81</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   ID = 1:9,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">82</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   PARAM = factor(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">83</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'     rep(c("Level A", "Level B", "Level C"), 3),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">84</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'     levels = params</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">85</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">86</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">87</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">88</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   df = adlb_df,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">89</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   var_name = "PARAMCD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">90</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   var_values = c("A", "B", "C"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">91</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   related_var = "PARAM"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">92</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">93</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">94</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' # Example with tibble.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">95</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adlb_tbl &lt;- tibble::tibble(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">96</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   ID = 1:9,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">97</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   PARAM = factor(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">98</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'     rep(c("Level A", "Level B", "Level C"), 3),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">99</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'     levels = params</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">100</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">101</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">102</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">103</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   df = adlb_tbl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">104</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   var_name = "PARAMCD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">105</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   var_values = c("A", "B", "C"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">106</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   related_var = "PARAM"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">107</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">108</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">rel_var &lt;- function(df, var_name, related_var, var_values = NULL) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">109</td>
-                    <td class="coverage">64<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(df)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">110</td>
-                    <td class="coverage">64<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_string(var_name)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">111</td>
-                    <td class="coverage">64<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_string(related_var)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">112</td>
-                    <td class="coverage">64<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  n_relvar1 &lt;- length(unique(df[, related_var, drop = TRUE]))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">113</td>
-                    <td class="coverage">64<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_vector(var_values, null.ok = TRUE, len = n_relvar1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">114</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (is.null(var_values)) var_values &lt;- rep(NA, n_relvar1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">115</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">116</td>
-                    <td class="coverage">64<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  relvar1 &lt;- unique(df[, related_var, drop = TRUE])</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">117</td>
-                    <td class="coverage">64<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  relvar2_values &lt;- rep(NA, nrow(df))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">118</td>
-                    <td class="coverage">64<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  for (r in seq_len(n_relvar1)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">119</td>
-                    <td class="coverage">538<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    matched &lt;- which(df[, related_var, drop = TRUE] == relvar1[r])</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">120</td>
-                    <td class="coverage">538<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    relvar2_values[matched] &lt;- var_values[r]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">121</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">122</td>
-                    <td class="coverage">64<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  df[[var_name]] &lt;- factor(relvar2_values)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">123</td>
-                    <td class="coverage">64<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(df)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">124</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">125</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">126</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Create Visit Schedule</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">127</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">128</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Create a visit schedule as a factor.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">129</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">130</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' X number of visits, or X number of cycles and Y number of days.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">131</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">132</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">133</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">134</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return A factor of length `n_assessments`.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">135</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">136</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">137</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">138</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' visit_schedule(visit_format = "WEeK", n_assessments = 10L)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">139</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' visit_schedule(visit_format = "CyCLE", n_assessments = 5L, n_days = 2L)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">140</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">visit_schedule &lt;- function(visit_format = "WEEK",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">141</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                           n_assessments = 10L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">142</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                           n_days = 5L) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">143</td>
-                    <td class="coverage">56<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_string(visit_format, pattern = "^WEEK$|^CYCLE$", ignore.case = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">144</td>
-                    <td class="coverage">56<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(n_assessments, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">145</td>
-                    <td class="coverage">56<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(n_days, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">146</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">147</td>
-                    <td class="coverage">56<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (toupper(visit_format) == "WEEK") {</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">148</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    # numeric vector of n assessments/cycles/days</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">149</td>
-                    <td class="coverage">49<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    assessments &lt;- 1:n_assessments</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">150</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    # numeric vector for ordering including screening (-1) and baseline (0) place holders</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">151</td>
-                    <td class="coverage">49<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    assessments_ord &lt;- -1:n_assessments</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">152</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    # character vector of nominal visit values</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">153</td>
-                    <td class="coverage">49<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    visit_values &lt;- c("SCREENING", "BASELINE", paste(toupper(visit_format), assessments, "DAY", (assessments * 7) + 1))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">154</td>
-                    <td class="coverage">7<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else if (toupper(visit_format) == "CYCLE") {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">155</td>
-                    <td class="coverage">7<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    cycles &lt;- sort(rep(1:n_assessments, times = 1, each = n_days))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">156</td>
-                    <td class="coverage">7<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    days &lt;- rep(seq(1:n_days), times = n_assessments, each = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">157</td>
-                    <td class="coverage">7<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    assessments_ord &lt;- 0:(n_assessments * n_days)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">158</td>
-                    <td class="coverage">7<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    visit_values &lt;- c("SCREENING", paste(toupper(visit_format), cycles, "DAY", days))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">159</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">160</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">161</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # create and order factor variable to return from function</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">162</td>
-                    <td class="coverage">56<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  visit_values &lt;- stats::reorder(factor(visit_values), assessments_ord)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">163</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">164</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">165</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Primary Keys: Retain Values</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">166</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">167</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Retain values within primary keys.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">168</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">169</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param df (`data.frame`)\cr Data frame in which to apply the retain.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">170</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param value_var (`any`)\cr Variable in `df` containing the value to be retained.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">171</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param event (`expression`)\cr Expression returning a logical value to trigger the retain.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">172</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param outside (`any`)\cr Additional value to retain. Defaults to `NA`.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">173</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return A vector of values where expression is true.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">174</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @keywords internal</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">175</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">retain &lt;- function(df, value_var, event, outside = NA) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">176</td>
-                    <td class="coverage">31<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  indices &lt;- c(1, which(event == TRUE), nrow(df) + 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">177</td>
-                    <td class="coverage">31<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  values &lt;- c(outside, value_var[event == TRUE])</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">178</td>
-                    <td class="coverage">31<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  rep(values, diff(indices))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">179</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">180</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">181</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Primary Keys: Labels</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">182</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">183</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Relabel a subset of variables in a data set.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">184</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">185</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param x (`data.frame`)\cr Data frame containing variables to which labels are applied.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">186</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param ... (`named character`)\cr Name-Value pairs, where name corresponds to a variable</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">187</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' name in `x` and the value to the new variable label.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">188</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return x (`data.frame`)\cr Data frame with labels applied.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">189</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">190</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">191</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">192</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">193</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">194</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' var_relabel(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">195</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   STUDYID = "Study Identifier",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">196</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   USUBJID = "Unique Subject Identifier"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">197</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">198</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">var_relabel &lt;- function(x, ...) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">199</td>
-                    <td class="coverage">82<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  dots &lt;- list(...)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">200</td>
-                    <td class="coverage">82<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  varnames &lt;- names(dots)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">201</td>
-                    <td class="coverage">82<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (is.null(varnames)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">202</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    stop("missing variable declarations")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">203</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">204</td>
-                    <td class="coverage">81<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  map_varnames &lt;- match(varnames, names(x))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">205</td>
-                    <td class="coverage">81<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  for (i in seq_along(map_varnames)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">206</td>
-                    <td class="coverage">161<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    attr(x[[map_varnames[[i]]]], "label") &lt;- dots[[i]]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">207</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">208</td>
-                    <td class="coverage">81<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  x</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">209</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">210</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">211</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Apply Metadata</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">212</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">213</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Apply label and variable ordering attributes to domains.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">214</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">215</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param df (`data.frame`)\cr Data frame to which metadata is applied.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">216</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param filename (`yaml`)\cr File containing domain metadata.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">217</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param add_adsl (`logical`)\cr Should ADSL data be merged to domain.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">218</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param adsl_filename (`yaml`)\cr File containing ADSL metadata.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">219</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return Data frame with metadata applied.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">220</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">221</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">222</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">223</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' seed &lt;- 1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">224</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(seed = seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">225</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsub &lt;- radsub(adsl, seed = seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">226</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' yaml_path &lt;- file.path(path.package("random.cdisc.data"), "inst", "metadata")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">227</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- apply_metadata(adsl, file.path(yaml_path, "ADSL.yml"), FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">228</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsub &lt;- apply_metadata(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">229</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   adsub, file.path(yaml_path, "ADSUB.yml"), TRUE,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">230</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   file.path(yaml_path, "ADSL.yml")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">231</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">232</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">apply_metadata &lt;- function(df, filename, add_adsl = TRUE, adsl_filename = "metadata/ADSL.yml") {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">233</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(df)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">234</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_string(filename)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">235</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(add_adsl)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">236</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_string(adsl_filename)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">237</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">238</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  apply_type &lt;- function(df, var, type) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">239</td>
-                    <td class="coverage">5986<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    if (is.null(type)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">240</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      return()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">241</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">242</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">243</td>
-                    <td class="coverage">5986<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    if (type == "character" &amp;&amp; !is.character(df[[var]])) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">244</td>
-                    <td class="coverage">12<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      df[[var]] &lt;- as.character(df[[var]])</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">245</td>
-                    <td class="coverage">5974<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    } else if (type == "factor" &amp;&amp; !is.factor(df[[var]])) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">246</td>
-                    <td class="coverage">730<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      df[[var]] &lt;- as.factor(df[[var]])</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">247</td>
-                    <td class="coverage">5244<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    } else if (type == "integer" &amp;&amp; !is.integer(df[[var]])) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">248</td>
-                    <td class="coverage">225<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      df[[var]] &lt;- as.integer(df[[var]])</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">249</td>
-                    <td class="coverage">5019<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    } else if (type == "numeric" &amp;&amp; !is.numeric(df[[var]])) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">250</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      df[[var]] &lt;- as.numeric(df[[var]])</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">251</td>
-                    <td class="coverage">5016<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    } else if (type == "logical" &amp;&amp; !is.logical(df[[var]])) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">252</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      df[[var]] &lt;- as.logical(df[[var]])</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">253</td>
-                    <td class="coverage">5016<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    } else if (type == "datetime" &amp;&amp; !lubridate::is.POSIXct(df[[var]])) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">254</td>
-                    <td class="coverage">9<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      df[[var]] &lt;- as.POSIXct(df[[var]])</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">255</td>
-                    <td class="coverage">5007<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    } else if (type == "date" &amp;&amp; !lubridate::is.Date(df[[var]])) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">256</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      df[[var]] &lt;- as.Date(df[[var]])</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">257</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">258</td>
-                    <td class="coverage">5986<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(df)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">259</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">260</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">261</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # remove existing attributes</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">262</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  for (i in base::setdiff(names(attributes(df)), names(attributes(data.frame())))) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">263</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    attr(df, i) &lt;- NULL</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">264</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">265</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">266</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # get metadata</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">267</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  metadata &lt;- yaml::yaml.load_file(system.file(filename, package = "random.cdisc.data"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">268</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsl_metadata &lt;- if (add_adsl) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">269</td>
-                    <td class="coverage">64<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    yaml::yaml.load_file(system.file(adsl_filename, package = "random.cdisc.data"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">270</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">271</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    NULL</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">272</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">273</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  metadata_variables &lt;- append(adsl_metadata$variables, metadata$variables)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">274</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  metadata_varnames &lt;- names(metadata_variables)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">275</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">276</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # find variables that does not have labels and are not it metadata</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">277</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  missing_vars_map &lt;- vapply(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">278</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    names(df),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">279</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    function(x) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">280</td>
-                    <td class="coverage">5986<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      !(x %in% c("STUDYID", "USUBJID", metadata_varnames)) &amp;&amp; is.null(attr(df[[x]], "label"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">281</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    },</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">282</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    logical(1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">283</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">284</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  missing_vars &lt;- names(df)[missing_vars_map]</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">285</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (length(missing_vars) &gt; 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">286</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    msg &lt;- paste0(</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">287</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Following variables does not have label or are not found in ",</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">288</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      filename,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">289</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ": ",</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">290</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      paste0(missing_vars, collapse = ", ")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">291</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">292</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    warning(msg)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">293</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">294</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">295</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!all(metadata_varnames %in% names(df))) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">296</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    metadata_varnames &lt;- metadata_varnames[metadata_varnames %in% names(df)]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">297</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">298</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">299</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # assign labels to variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">300</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  for (var in metadata_varnames) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">301</td>
-                    <td class="coverage">5986<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    df &lt;- apply_type(df, var, metadata_variables[[var]]$type)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">302</td>
-                    <td class="coverage">5986<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    attr(df[[var]], "label") &lt;- metadata_variables[[var]]$label</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">303</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">304</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">305</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # reorder data frame columns to expected BDS order</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">306</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  df &lt;- df[, unique(c("STUDYID", "USUBJID", metadata_varnames, names(df)))]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">307</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">308</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # assign label to data frame</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">309</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  attr(df, "label") &lt;- metadata$domain$label</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">310</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">311</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  df</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">312</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">313</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">314</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Replace Values in a Vector by NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">315</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">316</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">317</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">318</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Randomized replacement of values by `NA`.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">319</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">320</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">321</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param v (`any`)\cr Vector of any type.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">322</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param percentage (`proportion`)\cr Value between 0 and 1 defining</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">323</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   how much of the vector shall be replaced by `NA`. This number</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">324</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   is randomized by +/- 5% to have full randomization.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">325</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">326</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return The input vector `v` where a certain number of values are replaced by `NA`.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">327</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">328</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">329</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">replace_na &lt;- function(v, percentage = 0.05, seed = NULL) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">330</td>
-                    <td class="coverage">9<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(percentage, lower = 0, upper = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">331</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">332</td>
-                    <td class="coverage">9<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (percentage == 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">333</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(v)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">334</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">335</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">336</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed) &amp;&amp; !is.na(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">337</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">338</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">339</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">340</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # randomize the percentage</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">341</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ind &lt;- sample(seq_along(v), round(length(v) * percentage))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">342</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">343</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  v[ind] &lt;- NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">344</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">345</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(v)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">346</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">347</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">348</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Replace Values with NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">349</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">350</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">351</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">352</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Replace column values with `NA`s.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">353</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">354</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">355</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param ds (`data.frame`)\cr Any data set.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">356</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">357</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return dataframe without `NA` values.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">358</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">359</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">360</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">mutate_na &lt;- function(ds, na_vars = NULL, na_percentage = 0.05) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">361</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(na_vars)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">362</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    stopifnot(is.list(na_vars)) # any list is OK; as values can be left NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">363</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    stopifnot(length(names(na_vars)) == length(na_vars)) # names for all elements</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">364</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">365</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    na_vars &lt;- names(ds)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">366</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">367</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">368</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  stopifnot(is.numeric(na_percentage))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">369</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  stopifnot(na_percentage &gt;= 0 &amp;&amp; na_percentage &lt; 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">370</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">371</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  for (na_var in names(na_vars)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">372</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    if (!is.na(na_var)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">373</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      if (!na_var %in% names(ds)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">374</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        warning(paste(na_var, "not in column names"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">375</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">376</td>
-                    <td class="coverage">7<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ds &lt;- ds %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">377</td>
-                    <td class="coverage">7<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ungroup_rowwise_df() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">378</td>
-                    <td class="coverage">7<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">379</td>
-                    <td class="coverage">7<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            !!na_var := ds[[na_var]] %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">380</td>
-                    <td class="coverage">7<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">              replace_na(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">381</td>
-                    <td class="coverage">7<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                percentage = ifelse(is.na(na_vars[[na_var]][2]), na_percentage, na_vars[[na_var]][2]),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">382</td>
-                    <td class="coverage">7<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                seed = na_vars[[na_var]][1]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">383</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">              )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">384</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">385</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">386</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">387</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">388</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(ds)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">389</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">390</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">391</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">ungroup_rowwise_df &lt;- function(x) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">392</td>
-                    <td class="coverage">7<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  class(x) &lt;- c("tbl", "tbl_df", "data.frame")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">393</td>
-                    <td class="coverage">7<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(x)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">394</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">395</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">396</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Zero-Truncated Poisson Distribution</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">397</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">398</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">399</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">400</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' This generates random numbers from a zero-truncated Poisson distribution,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">401</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' i.e. from `X | X &gt; 0` when `X ~ Poisson(lambda)`. The advantage here is that</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">402</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' we guarantee to return exactly `n` numbers and without using a loop internally.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">403</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' This solution was provided in a post by</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">404</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' [Peter Dalgaard](https://stat.ethz.ch/pipermail/r-help/2005-May/070680.html).</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">405</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">406</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param n (`numeric`)\cr Number of random numbers.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">407</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param lambda (`numeric`)\cr Non-negative mean(s).</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">408</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">409</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return The random numbers.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">410</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">411</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">412</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">413</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' x &lt;- rpois(1e6, lambda = 5)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">414</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' x &lt;- x[x &gt; 0]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">415</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' hist(x)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">416</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">417</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' y &lt;- rtpois(1e6, lambda = 5)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">418</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' hist(y)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">419</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">rtpois &lt;- function(n, lambda) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">420</td>
-                    <td class="coverage">121<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  stats::qpois(stats::runif(n, stats::dpois(0, lambda), 1), lambda)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">421</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">422</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">423</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Truncated Exponential Distribution</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">424</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">425</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">426</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">427</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' This generates random numbers from a truncated Exponential distribution,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">428</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' i.e. from `X | X &gt; l` or `X | X &lt; r` when `X ~ Exp(rate)`. The advantage here is that</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">429</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' we guarantee to return exactly `n` numbers and without using a loop internally.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">430</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' This can be derived from the quantile functions of the left- and right-truncated</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">431</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Exponential distributions.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">432</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">433</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param n (`numeric`)\cr Number of random numbers.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">434</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param rate (`numeric`)\cr Non-negative rate.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">435</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param l (`numeric`)\cr Positive left-hand truncation parameter.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">436</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param r (`numeric`)\cr Positive right-hand truncation parameter.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">437</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">438</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return The random numbers. If neither `l` nor `r` are provided then the usual Exponential</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">439</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'  distribution is used.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">440</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">441</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">442</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">443</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' x &lt;- stats::rexp(1e6, rate = 5)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">444</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' x &lt;- x[x &gt; 0.5]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">445</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' hist(x)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">446</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">447</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' y &lt;- rtexp(1e6, rate = 5, l = 0.5)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">448</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' hist(y)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">449</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">450</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' z &lt;- rtexp(1e6, rate = 5, r = 0.5)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">451</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' hist(z)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">452</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">rtexp &lt;- function(n, rate, l = NULL, r = NULL) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">453</td>
-                    <td class="coverage">123<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(l)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">454</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    l - log(1 - stats::runif(n)) / rate</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">455</td>
-                    <td class="coverage">122<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else if (!is.null(r)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">456</td>
-                    <td class="coverage">121<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    -log(1 - stats::runif(n) * (1 - exp(-r * rate))) / rate</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">457</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">458</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    stats::rexp(n, rate)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">459</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">460</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/radpc.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Pharmacokinetics Analysis Dataset (ADPC)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function for generating a random Pharmacokinetics Analysis Dataset for a given</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Subject-Level Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details One record per study, subject, parameter, and time point.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param avalu (`character`)\cr Analysis value units.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param constants (`character vector`)\cr Constant parameters to be used in formulas for creating analysis values.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param duration (`numeric`)\cr Duration in number of days.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @template param_cached</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @templateVar data adpc</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, seed = 1, study_duration = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adpc &lt;- radpc(adsl, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adpc</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adpc &lt;- radpc(adsl, seed = 2, duration = 3)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adpc</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">radpc &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  avalu = "ug/mL",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  constants = c(D = 100, ka = 0.8, ke = 1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">31</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  duration = 2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">32</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">33</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_percentage = 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">34</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_vars = list(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">35</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    AVAL = c(NA, 0.1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">36</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">37</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  cached = FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">38</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(cached)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">39</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (cached) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">40</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(get_cached_data("cadpc"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">41</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">42</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">43</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(adsl)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">44</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(avalu, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">45</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_subset(names(constants), c("D", "ka", "ke"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">46</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_numeric(x = duration, max.len = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">47</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(seed, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">48</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">49</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_true(na_percentage &lt; 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">50</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_list(na_vars)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">51</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">52</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">53</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">54</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">55</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">56</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  radpc_core &lt;- function(day) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">57</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adpc_day &lt;- tidyr::expand_grid(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">58</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      data.frame(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">59</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        STUDYID = adsl$STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">60</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        USUBJID = adsl$USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">61</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ARMCD = adsl$ARMCD,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">62</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        A0 = unname(constants["D"]),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">63</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ka = unname(constants["ka"]) - stats::runif(length(adsl$USUBJID), -0.2, 0.2),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">64</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ke = unname(constants["ke"]) - stats::runif(length(adsl$USUBJID), -0.2, 0.2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">65</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">66</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PCTPTNUM = if (day == 1) c(0, 0.5, 1, 1.5, 2, 3, 4, 8, 12) else 24 * (day - 1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">67</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAM = factor(c("Plasma Drug X", "Urine Drug X", "Plasma Drug Y", "Urine Drug Y"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">68</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">69</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adpc_day &lt;- adpc_day[!(grepl("Urine", adpc_day$PARAM) &amp; adpc_day$PCTPTNUM %in% c(0.5, 1, 1.5, 2, 3)), ] %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">70</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::arrange(USUBJID, PARAM) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">71</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">72</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        VISITDY = day,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">73</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        VISIT = ifelse(day &lt;= 7, paste("Day", VISITDY), paste("Week", (VISITDY - 1) / 7)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">74</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PCVOLU = ifelse(grepl("Urine", PARAM), "mL", ""),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">75</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ASMED = ifelse(grepl("Urine", PARAM), "URINE", "PLASMA"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">76</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PCTPT = factor(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">77</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          PCTPTNUM == 0 ~ "Predose",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">78</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          (day == 1 &amp; grepl("Urine", PARAM)) ~</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">79</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            paste0(lag(PCTPTNUM), "H - ", PCTPTNUM, "H"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">80</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          (day != 1 &amp; grepl("Urine", PARAM)) ~</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">81</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            paste0(as.numeric(PCTPTNUM) - 24, "H - ", PCTPTNUM, "H"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">82</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          TRUE ~ paste0(PCTPTNUM, "H")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">83</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        )),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">84</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ARELTM1 = PCTPTNUM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">85</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        NRELTM1 = PCTPTNUM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">86</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ARELTM2 = ARELTM1 - (24 * (day - 1)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">87</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        NRELTM2 = NRELTM1 - (24 * (day - 1)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">88</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        A0 = ifelse(PARAM == "Plasma Drug Y", A0, A0 / 2),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">89</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AVAL = round(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">90</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          (A0 * ka * (</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">91</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            exp(-ka * ARELTM1) - exp(-ke * ARELTM1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">92</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">93</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          / (ke - ka),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">94</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          digits = 3</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">95</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">96</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">97</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">98</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PCVOL = ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">99</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ASMED == "URINE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">100</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          round(abs(((PCTPTNUM - 1) %% 24) * A0 * ka * exp(PCTPTNUM %% 1.8 / 10)), 2),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">101</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">102</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">103</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        # PK Equation</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">104</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AVALC = ifelse(AVAL == 0, "BLQ", as.character(AVAL)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">105</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AVALU = avalu,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">106</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        RELTMU = "hr"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">107</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">108</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::select(-c("A0", "ka", "ke"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">109</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">110</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(adpc_day)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">111</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">112</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">113</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adpc &lt;- list()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">114</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">115</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  for (day in seq(duration)[seq(duration) &lt;= 7 | ((seq(duration) - 1) %% 7 == 0)]) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">116</td>
-                    <td class="coverage">8<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adpc[[day]] &lt;- radpc_core(day = day)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">117</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">118</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">119</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adpc &lt;- do.call(rbind, adpc)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">120</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">121</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adpc &lt;- dplyr::inner_join(adpc, adsl, by = c("STUDYID", "USUBJID", "ARMCD")) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">122</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::filter(ACTARM != "B: Placebo", !(ACTARM == "A: Drug X" &amp; PARAM == "Plasma Drug Y"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">123</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">124</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (length(na_vars) &gt; 0 &amp;&amp; na_percentage &gt; 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">125</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adpc &lt;- mutate_na(ds = adpc, na_vars = na_vars, na_percentage = na_percentage)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">126</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">127</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">128</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adpc &lt;- adpc %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">129</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    rename(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">130</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVALCAT1 = AVALC,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">131</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      NFRLT = NRELTM1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">132</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AFRLT = ARELTM1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">133</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      NRRLT = NRELTM2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">134</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ARRLT = ARELTM2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">135</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">136</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    mutate(ANL02FL = "Y")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">137</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">138</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adpc &lt;- apply_metadata(adpc, "metadata/ADPC.yml")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">139</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/radsub.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Generate Anthropometric Measurements for Males and Females.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Anthropometric measurements are randomly generated using normal approximation.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' The default mean and standard deviation values used are based on US National Health</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Statistics for adults aged 20 years or over. The measurements are generated in same units</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' as provided to the function.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details One record per subject.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param df (`data.frame`)\cr Analysis dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param id_var (`character`)\cr Patient identifier variable name.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param sex_var (`character`)\cr Name of variable representing sex of patient.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param sex_var_level_male (`character`)\cr Level of `sex_var` representing males.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param male_weight_in_kg (named `list`)\cr List of means and SDs of male weights in kilograms.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param female_weight_in_kg (named `list`)\cr List of means and SDs of female weights in kilograms.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param male_height_in_m (named `list`)\cr List of means and SDs of male heights in metres.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param female_height_in_m (named `list`)\cr list of means and SDs of female heights in metres.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return a dataframe with anthropometric measurements for each subject in analysis dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @keywords internal</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">h_anthropometrics_by_sex &lt;- function(df,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                                     seed = 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                                     id_var = "USUBJID",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                                     sex_var = "SEX",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                                     sex_var_level_male = "M",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                                     male_weight_in_kg = list(mean = 90.6, sd = 44.9),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                                     female_weight_in_kg = list(mean = 77.5, sd = 46.2),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                                     male_height_in_m = list(mean = 1.75, sd = 0.14),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                                     female_height_in_m = list(mean = 1.61, sd = 0.24)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">31</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(df)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">32</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_string(id_var)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">33</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_string(sex_var)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">34</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_string(sex_var_level_male)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">35</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_list(male_weight_in_kg, types = "numeric")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">36</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_subset(names(male_weight_in_kg), choices = c("mean", "sd"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">37</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_list(female_weight_in_kg, types = "numeric")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">38</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_subset(names(female_weight_in_kg), choices = c("mean", "sd"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">39</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_list(male_height_in_m, types = "numeric")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">40</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_subset(names(male_height_in_m), choices = c("mean", "sd"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">41</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_list(female_height_in_m, types = "numeric")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">42</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_subset(names(female_height_in_m), choices = c("mean", "sd"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">43</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">44</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">45</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  n &lt;- length(unique(df[[id_var]]))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">46</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">47</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">48</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  df_by_sex &lt;- unique(subset(df, select = c(id_var, sex_var)))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">49</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">50</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  df_with_measurements &lt;- df_by_sex %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">51</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">52</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      WEIGHT = ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">53</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        .data[[sex_var]] == sex_var_level_male,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">54</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        stats::rnorm(n = n, mean = male_weight_in_kg$mean, sd = male_weight_in_kg$sd),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">55</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        stats::rnorm(n = n, mean = female_weight_in_kg$mean, sd = female_weight_in_kg$sd)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">56</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">57</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">58</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">59</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      HEIGHT = ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">60</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        .data[[sex_var]] == sex_var_level_male,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">61</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        stats::rnorm(n = n, mean = male_height_in_m$mean, sd = male_height_in_m$sd),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">62</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        stats::rnorm(n = n, mean = female_height_in_m$mean, sd = female_height_in_m$sd)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">63</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">64</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">65</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">66</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BMI = WEIGHT / ((HEIGHT)^2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">67</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">68</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">69</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(df_with_measurements)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">70</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">71</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">72</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Subcategory Analysis Dataset (ADSUB)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">73</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">74</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">75</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">76</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function for generating a random Subcategory Analysis Dataset for a given</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">77</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Subject-Level Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">78</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">79</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details One record per subject.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">80</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">81</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Keys: `STUDYID`, `USUBJID`, `PARAMCD`, `AVISITN`, `ADTM`, `SRCSEQ`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">82</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">83</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">84</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @template param_cached</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">85</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @templateVar data adsub</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">86</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">87</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">88</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">89</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">90</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @author tomlinsj, npaszty, Xuefeng Hou, dipietrc</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">91</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">92</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">93</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, seed = 1, study_duration = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">94</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">95</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsub &lt;- radsub(adsl, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">96</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsub</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">97</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">radsub &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">98</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                   param = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">99</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                     "Baseline Weight",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">100</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                     "Baseline Height",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">101</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                     "Baseline BMI",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">102</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                     "Baseline ECOG",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">103</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                     "Baseline Biomarker Mutation"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">104</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                   ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">105</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                   paramcd = c("BWGHTSI", "BHGHTSI", "BBMISI", "BECOG", "BBMRKR1"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">106</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                   seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">107</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                   na_percentage = 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">108</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                   na_vars = list(),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">109</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                   cached = FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">110</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(cached)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">111</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (cached) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">112</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(get_cached_data("cadsub"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">113</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">114</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">115</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(adsl)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">116</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(param, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">117</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(paramcd, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">118</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(seed, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">119</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">120</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_true(na_percentage &lt; 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">121</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">122</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Validate and initialize related variables.</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">123</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  param_init_list &lt;- relvar_init(param, paramcd)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">124</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">125</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">126</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">127</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">128</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">129</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsub &lt;- expand.grid(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">130</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = unique(adsl$STUDYID),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">131</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = adsl$USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">132</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAM = as.factor(param_init_list$relvar1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">133</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVISIT = "BASELINE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">134</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    stringsAsFactors = FALSE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">135</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">136</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">137</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Assign related variable values: PARAM and PARAMCD are related.</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">138</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsub &lt;- adsub %&gt;% rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">139</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_name = "PARAMCD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">140</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    related_var = "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">141</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_values = param_init_list$relvar2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">142</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">143</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">144</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsub &lt;- adsub[order(adsub$STUDYID, adsub$USUBJID, adsub$PARAMCD), ]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">145</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">146</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsub &lt;- var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">147</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsub,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">148</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = "Study Identifier",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">149</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = "Unique Subject Identifier"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">150</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">151</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">152</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Merge ADSL to be able to add EG date and study day variables.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">153</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Sample ADTM to be a few days before TRTSDTM.</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">154</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsub &lt;- dplyr::inner_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">155</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsub,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">156</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">157</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = c("STUDYID", "USUBJID")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">158</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">159</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">160</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ADTM = rep(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">161</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      lubridate::date(TRTSDTM)[1] - lubridate::days(sample(1:10, size = 1)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">162</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      each = n()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">163</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">164</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">165</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(STUDYID, USUBJID, ADTM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">166</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">167</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Generate a dataset with height, weight and BMI measurements for each subject.</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">168</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">169</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    df_with_measurements &lt;- h_anthropometrics_by_sex(adsub, seed = seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">170</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">171</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    df_with_measurements &lt;- h_anthropometrics_by_sex(adsub)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">172</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">173</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">174</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Add this to adsub and create other measurements.</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">175</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsub &lt;- adsub %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">176</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">177</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">178</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">179</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAMCD ==</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">180</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          "BWGHTSI" ~ df_with_measurements$WEIGHT[df_with_measurements$USUBJID == USUBJID],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">181</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAMCD ==</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">182</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          "BHGHTSI" ~ df_with_measurements$HEIGHT[df_with_measurements$USUBJID == USUBJID],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">183</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAMCD ==</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">184</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          "BBMISI" ~ df_with_measurements$BMI[df_with_measurements$USUBJID == USUBJID],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">185</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAMCD == "BECOG" ~ sample(c(0, 1, 2, 3, 4, 5), 1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">186</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAMCD == "BBMRKR1" ~ sample(c(1, 2), prob = c(0.5, 0.5), 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">187</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">188</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">189</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(PARAMCD) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">190</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">191</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AVAL = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">192</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD != "BBMRKR1" | PARAMCD != "BECOG" ~ round(AVAL, 1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">193</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ round(AVAL)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">194</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">195</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">196</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsub &lt;- adsub %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">197</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">198</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVALC = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">199</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAMCD == "BBMRKR1" ~ dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">200</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          AVAL == "1" ~ "WILD TYPE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">201</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          AVAL == "2" ~ "MUTANT",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">202</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          TRUE ~ ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">203</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">204</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRUE ~ as.character(AVAL)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">205</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">206</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVALU = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">207</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAMCD == "BWGHTSI" ~ "kg",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">208</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAMCD == "BHGHTSI" ~ "m",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">209</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAMCD == "BBMISI" ~ "kg/m2",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">210</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRUE ~ ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">211</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">212</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVALCAT1 = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">213</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAMCD == "BBMISI" ~ dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">214</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          AVAL &lt; 18.5 ~ "&lt;18.5",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">215</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          AVAL &gt;= 18.5 &amp; AVAL &lt; 25 ~ "18.5 - 24.9",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">216</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          AVAL &gt;= 25 &amp; AVAL &lt; 30 ~ "25 - 29.9",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">217</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          TRUE ~ "&gt;30"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">218</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">219</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAMCD == "BECOG" ~ dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">220</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          AVAL &lt;= 1 ~ "0-1",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">221</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          AVAL &gt; 1 &amp; AVAL &lt;= 3 ~ "2-3",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">222</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          TRUE ~ "4-5"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">223</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">224</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRUE ~ ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">225</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">226</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISITN = "0",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">227</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      SRCSEQ = "1"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">228</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">229</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">230</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">231</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      factor(PARAMCD, levels = c("BWGHTSI", "BHGHTSI", "BBMISI", "BECOG", "BBMRKR1"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">232</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">233</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">234</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (length(na_vars) &gt; 0 &amp;&amp; na_percentage &gt; 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">235</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsub &lt;- mutate_na(ds = adsub, na_vars = na_vars, na_percentage = na_percentage)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">236</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">237</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">238</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Apply metadata.</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">239</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsub &lt;- apply_metadata(adsub, "metadata/ADSUB.yml")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">240</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">241</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(adsub)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">242</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/radvs.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Vital Signs Analysis Dataset (ADVS)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function for generating a random Vital Signs Analysis Dataset for a given</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Subject-Level Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details One record per subject per parameter per analysis visit per analysis date.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Keys: `STUDYID`, `USUBJID`, `PARAMCD`, `BASETYPE`, `AVISITN`, `ATPTN`, `DTYPE`, `ADTM`, `VSSEQ`, `ASPID`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @template param_cached</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @templateVar data advs</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @author npaszty</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, seed = 1, study_duration = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' advs &lt;- radvs(adsl, visit_format = "WEEK", n_assessments = 7L, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' advs</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' advs &lt;- radvs(adsl, visit_format = "CYCLE", n_assessments = 3L, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' advs</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">radvs &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  param = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">31</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Diastolic Blood Pressure",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">32</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Pulse Rate",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">33</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Respiratory Rate",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">34</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Systolic Blood Pressure",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">35</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Temperature", "Weight"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">36</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">37</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  paramcd = c("DIABP", "PULSE", "RESP", "SYSBP", "TEMP", "WEIGHT"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">38</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  paramu = c("Pa", "beats/min", "breaths/min", "Pa", "C", "Kg"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">39</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  visit_format = "WEEK",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">40</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  n_assessments = 5L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">41</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  n_days = 5L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">42</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">43</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_percentage = 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">44</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_vars = list(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">45</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    CHG2 = c(1235, 0.1), PCHG2 = c(1235, 0.1), CHG = c(1234, 0.1), PCHG = c(1234, 0.1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">46</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    AVAL = c(123, 0.1), AVALU = c(123, 0.1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">47</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">48</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  cached = FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">49</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(cached)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">50</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (cached) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">51</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(get_cached_data("cadvs"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">52</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">53</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">54</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(adsl)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">55</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(param, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">56</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(paramcd, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">57</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(paramu, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">58</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_string(visit_format)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">59</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(n_assessments, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">60</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(n_days, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">61</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(seed, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">62</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">63</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_true(na_percentage &lt; 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">64</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">65</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # validate and initialize param vectors</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">66</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  param_init_list &lt;- relvar_init(param, paramcd)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">67</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  unit_init_list &lt;- relvar_init(param, paramu)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">68</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">69</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">70</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">71</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">72</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  study_duration_secs &lt;- lubridate::seconds(attr(adsl, "study_duration_secs"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">73</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">74</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  advs &lt;- expand.grid(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">75</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = unique(adsl$STUDYID),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">76</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = adsl$USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">77</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAM = as.factor(param_init_list$relvar1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">78</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVISIT = visit_schedule(visit_format = visit_format, n_assessments = n_assessments),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">79</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    stringsAsFactors = FALSE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">80</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">81</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">82</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  advs &lt;- dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">83</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    advs,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">84</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVISITN = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">85</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISIT == "SCREENING" ~ -1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">86</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISIT == "BASELINE" ~ 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">87</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      (grepl("^WEEK", AVISIT) | grepl("^CYCLE", AVISIT)) ~ as.numeric(AVISIT) - 2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">88</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ NA_real_</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">89</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">90</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">91</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">92</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  advs$VSCAT &lt;- "VITAL SIGNS"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">93</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">94</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # assign related variable values: PARAMxPARAMCD are related</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">95</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  advs &lt;- advs %&gt;% rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">96</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_name = "PARAMCD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">97</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    related_var = "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">98</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_values = param_init_list$relvar2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">99</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">100</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">101</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # assign related variable values: PARAMxAVALU are related</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">102</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  advs &lt;- advs %&gt;% rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">103</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_name = "AVALU",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">104</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    related_var = "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">105</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_values = unit_init_list$relvar2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">106</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">107</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">108</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  advs &lt;- advs %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">109</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(VSTESTCD = PARAMCD) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">110</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(VSTEST = PARAM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">111</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">112</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  advs &lt;- advs %&gt;% dplyr::mutate(AVAL = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">113</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == paramcd[1] ~ stats::rnorm(nrow(advs), mean = 100, sd = 20),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">114</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == paramcd[2] ~ stats::rnorm(nrow(advs), mean = 80, sd = 15),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">115</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == paramcd[3] ~ stats::rnorm(nrow(advs), mean = 16, sd = 5),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">116</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == paramcd[4] ~ stats::rnorm(nrow(advs), mean = 150, sd = 30),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">117</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == paramcd[5] ~ stats::rnorm(nrow(advs), mean = 36.65, sd = 1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">118</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD == paramcd[6] ~ stats::rnorm(nrow(advs), mean = 70, sd = 20)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">119</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">120</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">121</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # order to prepare for change from screening and baseline values</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">122</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  advs &lt;- advs[order(advs$STUDYID, advs$USUBJID, advs$PARAMCD, advs$AVISITN), ]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">123</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">124</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  advs &lt;- Reduce(rbind, lapply(split(advs, advs$USUBJID), function(x) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">125</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    x$STUDYID &lt;- adsl$STUDYID[which(adsl$USUBJID == x$USUBJID[1])]</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">126</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    x$ABLFL2 &lt;- ifelse(x$AVISIT == "SCREENING", "Y", "")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">127</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    x$ABLFL &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">128</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      toupper(visit_format) == "WEEK" &amp; x$AVISIT == "BASELINE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">129</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">130</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">131</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        toupper(visit_format) == "CYCLE" &amp; x$AVISIT == "CYCLE 1 DAY 1",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">132</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">133</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">134</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">135</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">136</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    x</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">137</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">138</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">139</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  advs$BASE2 &lt;- retain(advs, advs$AVAL, advs$ABLFL2 == "Y")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">140</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  advs$BASE &lt;- ifelse(advs$ABLFL2 != "Y", retain(advs, advs$AVAL, advs$ABLFL == "Y"), NA)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">141</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">142</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  advs &lt;- advs %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">143</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(CHG2 = AVAL - BASE2) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">144</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(PCHG2 = 100 * (CHG2 / BASE2)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">145</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(CHG = AVAL - BASE) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">146</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(PCHG = 100 * (CHG / BASE)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">147</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ANRLO = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">148</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "DIABP" ~ 80,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">149</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "PULSE" ~ 60,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">150</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "RESP" ~ 12,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">151</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "SYSBP" ~ 120,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">152</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "TEMP" ~ 36.1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">153</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "WEIGHT" ~ 40</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">154</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">155</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ANRHI = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">156</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "DIABP" ~ 120,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">157</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "PULSE" ~ 100,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">158</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "RESP" ~ 20,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">159</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "SYSBP" ~ 180,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">160</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "TEMP" ~ 37.2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">161</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "WEIGHT" ~ 100</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">162</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">163</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ANRIND = factor(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">164</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL &lt; ANRLO ~ "LOW",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">165</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL &gt; ANRHI ~ "HIGH",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">166</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ "NORMAL"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">167</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">168</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(VSSTRESC = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">169</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "DIABP" ~ "&lt;80",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">170</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "PULSE" ~ "&lt;60",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">171</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "RESP" ~ "&gt;20",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">172</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "SYSBP" ~ "&gt;180",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">173</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "TEMP" ~ "&lt;36.1",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">174</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD == "WEIGHT" ~ "&lt;40"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">175</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">176</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::rowwise() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">177</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(LOQFL = factor(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">178</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ifelse(eval(parse(text = paste(AVAL, VSSTRESC))), "Y", "N")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">179</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">180</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">181</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(BASETYPE = "LAST") %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">182</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID, PARAMCD, BASETYPE) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">183</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(BNRIND = ANRIND[ABLFL == "Y"]) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">184</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">185</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ATPTN = 1) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">186</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(DTYPE = NA) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">187</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">188</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID = attr(adsl$USUBJID, "label"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">189</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID = attr(adsl$STUDYID, "label")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">190</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">191</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">192</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  advs &lt;- var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">193</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    advs,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">194</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = "Study Identifier",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">195</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = "Unique Subject Identifier"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">196</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">197</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">198</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # merge ADSL to be able to add LB date and study day variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">199</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  advs &lt;- dplyr::inner_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">200</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    advs,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">201</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">202</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = c("STUDYID", "USUBJID")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">203</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">204</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::rowwise() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">205</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(TRTENDT = lubridate::date(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">206</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      is.na(TRTEDTM) ~ lubridate::floor_date(lubridate::date(TRTSDTM) + study_duration_secs, unit = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">207</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ TRTEDTM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">208</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">209</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">210</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">211</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  advs &lt;- advs %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">212</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">213</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(USUBJID, AVISITN) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">214</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ADTM = rep(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">215</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      sort(sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">216</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        seq(lubridate::as_datetime(TRTSDTM[1]), lubridate::as_datetime(TRTENDT[1]), by = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">217</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        size = nlevels(AVISIT)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">218</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">219</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      each = n() / nlevels(AVISIT)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">220</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">221</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">222</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ADY = ceiling(difftime(ADTM, TRTSDTM, units = "days"))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">223</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-TRTENDT) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">224</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(STUDYID, USUBJID, ADTM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">225</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">226</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  advs &lt;- advs %&gt;% dplyr::mutate(ONTRTFL = factor(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">227</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    !AVISIT %in% c("SCREENING", "BASELINE") ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">228</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    TRUE ~ ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">229</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">230</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">231</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  advs &lt;- advs %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">232</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASPID = sample(seq_len(dplyr::n()))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">233</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">234</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(VSSEQ = seq_len(dplyr::n())) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">235</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASEQ = VSSEQ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">236</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">237</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">238</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">239</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">240</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">241</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BASETYPE,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">242</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISITN,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">243</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATPTN,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">244</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      DTYPE,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">245</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">246</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      VSSEQ,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">247</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ASPID</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">248</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">249</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">250</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (length(na_vars) &gt; 0 &amp;&amp; na_percentage &gt; 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">251</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    advs &lt;- mutate_na(ds = advs, na_vars = na_vars, na_percentage = na_percentage)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">252</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">253</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">254</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # apply metadata</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">255</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  advs &lt;- apply_metadata(advs, "metadata/ADVS.yml")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">256</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">257</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(advs)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">258</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/radhy.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Hy's Law Analysis Dataset (ADHY)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function for generating a random Hy's Law Analysis Dataset for a given</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Subject-Level Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details One record per subject per parameter per analysis visit per analysis date.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Keys: `STUDYID`, `USUBJID`, `PARAMCD`, `AVISITN`, `ADTM`, `SRCSEQ`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @template param_cached</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @templateVar data adhy</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @author wojciakw</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, seed = 1, study_duration = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adhy &lt;- radhy(adsl, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adhy</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">radhy &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  param = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "TBILI &lt;= 2 times ULN and ALT value category",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "TBILI &gt; 2 times ULN and AST value category",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "TBILI &gt; 2 times ULN and ALT value category",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">31</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "TBILI &lt;= 2 times ULN and AST value category",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">32</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "TBILI &gt; 2 times ULN and ALKPH &lt;= 2 times ULN and ALT value category",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">33</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "TBILI &gt; 2 times ULN and ALKPH &lt;= 2 times ULN and AST value category",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">34</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "TBILI &gt; 2 times ULN and ALKPH &lt;= 5 times ULN and ALT value category",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">35</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "TBILI &gt; 2 times ULN and ALKPH &lt;= 5 times ULN and AST value category",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">36</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "TBILI &lt;= 2 times ULN and two consecutive elevations of ALT in relation to ULN",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">37</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "TBILI &gt; 2 times ULN and two consecutive elevations of AST in relation to ULN",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">38</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "TBILI &lt;= 2 times ULN and two consecutive elevations of AST in relation to ULN",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">39</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "TBILI &gt; 2 times ULN and two consecutive elevations of ALT in relation to ULN",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">40</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "TBILI &gt; 2 times ULN and two consecutive elevations of ALT in relation to Baseline",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">41</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "TBILI &lt;= 2 times ULN and two consecutive elevations of ALT in relation to Baseline",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">42</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "TBILI &gt; 2 times ULN and two consecutive elevations of AST in relation to Baseline",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">43</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "TBILI &lt;= 2 times ULN and two consecutive elevations of AST in relation to Baseline",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">44</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "ALT &gt; 3 times ULN by Period",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">45</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "AST &gt; 3 times ULN by Period",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">46</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "ALT or AST &gt; 3 times ULN by Period",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">47</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "ALT &gt; 3 times Baseline by Period",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">48</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "AST &gt; 3 times Baseline by Period",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">49</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "ALT or AST &gt; 3 times Baseline by Period"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">50</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">51</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  paramcd = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">52</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "BLAL",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">53</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "BGAS",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">54</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "BGAL",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">55</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "BLAS",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">56</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "BA2AL",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">57</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "BA2AS",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">58</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "BA5AL",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">59</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "BA5AS",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">60</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "BL2AL2CU",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">61</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "BG2AS2CU",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">62</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "BL2AS2CU",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">63</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "BG2AL2CU",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">64</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "BG2AL2CB",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">65</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "BL2AL2CB",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">66</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "BG2AS2CB",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">67</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "BL2AS2CB",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">68</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "ALTPULN",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">69</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "ASTPULN",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">70</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "ALTASTPU",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">71</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "ALTPBASE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">72</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "ASTPBASE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">73</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "ALTASTPB"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">74</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">75</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">76</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  cached = FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">77</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(cached)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">78</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">79</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (cached) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">80</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(get_cached_data("cadhy"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">81</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">82</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">83</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(adsl)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">84</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(param, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">85</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(paramcd, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">86</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(seed, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">87</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">88</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # validate and initialize related variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">89</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  param_init_list &lt;- relvar_init(param, paramcd)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">90</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">91</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">92</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">93</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">94</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  study_duration_secs &lt;- lubridate::seconds(attr(adsl, "study_duration_secs"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">95</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">96</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # create all combinations of unique values in STUDYID, USUBJID, PARAM, AVISIT</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">97</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adhy &lt;- expand.grid(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">98</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = unique(adsl$STUDYID),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">99</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = adsl$USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">100</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAM = as.factor(param_init_list$relvar1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">101</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVISIT = as.factor(c("BASELINE", "POST-BASELINE")),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">102</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    APERIODC = as.factor(c("PERIOD 1", "PERIOD 2")),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">103</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    stringsAsFactors = FALSE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">104</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">105</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">106</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # remove records that are not needed and were created as a side product of expand.grid above</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">107</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adhy &lt;- dplyr::filter(adhy, !(AVISIT == "BASELINE" &amp; APERIODC == "PERIOD 2"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">108</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">109</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # define TBILI ALT/AST params, period dependent parameters and the parameters that will be assigned values "Y" or "N"</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">110</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  paramcd_tbilialtast &lt;- c("BLAL", "BGAS", "BGAL", "BLAS", "BA2AL", "BA2AS", "BA5AL", "BA5AS")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">111</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  paramcd_by_period &lt;- c("ALTPULN", "ASTPULN", "ALTASTPU", "ALTPBASE", "ASTPBASE", "ALTASTPB")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">112</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  paramcd_yn &lt;- c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">113</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "BL2AL2CU", "BG2AS2CU", "BL2AS2CU", "BG2AL2CU", "BG2AL2CB", "BL2AL2CB", "BG2AS2CB", "BL2AS2CB",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">114</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    paramcd_by_period</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">115</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">116</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">117</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # add other variables to adhy</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">118</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adhy &lt;- adhy %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">119</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">120</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      var_name = "PARAMCD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">121</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      related_var = "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">122</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      var_values = param_init_list$relvar2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">123</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">124</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">125</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVALC = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">126</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAMCD %in% paramcd_tbilialtast ~ sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">127</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          x = c("&gt;3-5ULN", "&gt;5-10ULN", "&gt;10-20ULN", "&gt;20ULN", "Criteria not met"), size = dplyr::n(), replace = TRUE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">128</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">129</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAMCD %in% paramcd_yn ~ sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">130</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          x = c("Y", "N"), prob = c(0.1, 0.9), size = dplyr::n(), replace = TRUE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">131</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">132</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">133</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">134</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AVALC == "&gt;3-5ULN" ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">135</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AVALC == "&gt;5-10ULN" ~ 2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">136</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AVALC == "&gt;10-20ULN" ~ 3,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">137</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AVALC == "&gt;20ULN" ~ 4,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">138</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AVALC == "Y" ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">139</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AVALC == "N" ~ 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">140</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AVALC == "Criteria not met" ~ 0</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">141</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">142</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISITN = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">143</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AVISIT == "BASELINE" ~ 0L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">144</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AVISIT == "POST-BASELINE" ~ 9995L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">145</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRUE ~ NA_integer_</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">146</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">147</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      APERIOD = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">148</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        APERIODC == "PERIOD 1" ~ 1L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">149</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        APERIODC == "PERIOD 2" ~ 2L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">150</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRUE ~ NA_integer_</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">151</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">152</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ABLFL = dplyr::if_else(AVISIT == "BASELINE", "Y", NA_character_),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">153</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ONTRTFL = dplyr::if_else(AVISIT == "POST-BASELINE", "Y", NA_character_),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">154</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ANL01FL = "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">155</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      SRCSEQ = NA_integer_</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">156</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">157</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">158</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # remove records for parameters with period 2 and not in paramcd_by_period</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">159</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adhy &lt;- dplyr::filter(adhy, PARAMCD %in% paramcd_by_period | APERIODC == "PERIOD 1")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">160</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">161</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # add baseline variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">162</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adhy &lt;- adhy %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">163</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID, PARAMCD) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">164</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">165</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BASEC = AVALC[AVISIT == "BASELINE"],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">166</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      BASE = AVAL[AVISIT == "BASELINE"]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">167</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">168</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">169</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">170</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adhy &lt;- adhy %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">171</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">172</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID = attr(adsl$STUDYID, "label"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">173</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID = attr(adsl$USUBJID, "label")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">174</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">175</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">176</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # merge ADSL to be able to add analysis datetime and analysis relative day variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">177</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adhy &lt;- dplyr::inner_join(adhy, adsl, by = c("STUDYID", "USUBJID"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">178</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">179</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # define a simple helper function to create ADY variable</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">180</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  add_ady &lt;- function(x, avisit) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">181</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    if (avisit == "BASELINE") {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">182</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">183</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        x,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">184</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ADY = sample(x = -(1:14), size = dplyr::n(), replace = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">185</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">186</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    } else if (avisit == "POST-BASELINE") {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">187</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::rowwise(x) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">188</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::mutate(ADY = as.integer(sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">189</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          dplyr::if_else(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">190</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            !is.na(TRTEDTM),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">191</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            as.numeric(difftime(TRTEDTM, TRTSDTM, units = "days")),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">192</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            as.numeric(study_duration_secs, "days")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">193</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">194</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          size = 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">195</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          replace = TRUE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">196</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        )))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">197</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">198</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::mutate(x, ADY = NA_integer_)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">199</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">200</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">201</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">202</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # add ADY and ADTM variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">203</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adhy &lt;- adhy %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">204</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(AVISIT, .add = FALSE) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">205</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_modify(~ add_ady(.x, .y$AVISIT)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">206</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">207</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ADTM = TRTSDTM + lubridate::days(ADY))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">208</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">209</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # order columns and arrange rows; column order follows ADaM_1.1 specification</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">210</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adhy &lt;-</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">211</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adhy[, c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">212</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      colnames(adsl),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">213</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">214</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "PARAMCD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">215</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "AVAL",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">216</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "AVALC",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">217</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "BASE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">218</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "BASEC",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">219</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ABLFL",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">220</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ADTM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">221</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ADY",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">222</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "AVISIT",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">223</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "AVISITN",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">224</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "APERIOD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">225</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "APERIODC",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">226</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ONTRTFL",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">227</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "SRCSEQ",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">228</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ANL01FL"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">229</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">230</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">231</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adhy &lt;- adhy %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">232</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">233</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">234</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">235</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">236</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISITN,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">237</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">238</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      SRCSEQ</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">239</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">240</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">241</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # apply metadata</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">242</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adhy &lt;- apply_metadata(adhy, "metadata/ADHY.yml")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">243</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">244</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(adhy)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">245</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/radtr.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Tumor Response Analysis Dataset (ADTR)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function for generating a random Tumor Response Analysis Dataset for a given</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Subject-Level Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details One record per subject per parameter per analysis visit per analysis date.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Keys: `STUDYID`, `USUBJID`, `PARAMCD`, `BASETYPE`, `AVISITN`, `DTYPE`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param ... Additional arguments to be passed to `radrs`.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @template param_cached</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @templateVar data adtr</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @author tomlinsj, npaszty, Xuefeng Hou, dipietrc</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, seed = 1, study_duration = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adtr &lt;- radtr(adsl, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adtr</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">radtr &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  param = c("Sum of Longest Diameter by Investigator"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  paramcd = c("SLDINV"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">31</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  cached = FALSE,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">32</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ...) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">33</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(cached)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">34</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (cached) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">35</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(get_cached_data("cadtr"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">36</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">37</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(adsl)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">38</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(param, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">39</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(paramcd, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">40</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(seed, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">41</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  stopifnot(length(param) == length(paramcd))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">42</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # validate and initialize related variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">43</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">44</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">45</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">46</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">47</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">48</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Make times consistent with ADRS at ADY and ADTM.</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">49</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adrs &lt;- radrs(adsl, seed = seed, ...) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">50</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::filter(PARAMCD == "OVRINV") %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">51</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">52</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "STUDYID",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">53</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "USUBJID",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">54</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "AVISIT",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">55</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "AVISITN",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">56</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ADTM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">57</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ADY"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">58</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">59</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">60</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtr &lt;- Map(function(parcd, par) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">61</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    df &lt;- adrs</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">62</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    df$AVAL &lt;- stats::rnorm(nrow(df), mean = 150, sd = 30)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">63</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    df$PARAMCD &lt;- parcd</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">64</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    df$PARAM &lt;- par</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">65</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    df</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">66</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }, paramcd, param) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">67</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    Reduce(rbind, .)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">68</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">69</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtr_base &lt;- adtr %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">70</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::filter(AVISITN == 0) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">71</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID, PARAMCD) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">72</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(BASE = AVAL) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">73</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select("STUDYID", "USUBJID", "BASE", "PARAMCD")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">74</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">75</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtr_postbase &lt;- adtr %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">76</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::filter(AVISITN &gt; 0) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">77</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::filter(!is.na(AVAL)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">78</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID, PARAMCD) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">79</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::filter(AVAL == min(AVAL)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">80</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::slice(1) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">81</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AVISIT = "POST-BASELINE MINIMUM") %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">82</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(DTYPE = "MINIMUM") %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">83</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">84</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">85</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtr_lastobs &lt;- adtr %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">86</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::filter(AVISITN &gt; 0) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">87</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::filter(!is.na(AVAL)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">88</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID, PARAMCD) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">89</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::filter(ADTM == max(ADTM, na.rm = TRUE)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">90</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::slice(1) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">91</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(LAST_VISIT = AVISIT) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">92</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">93</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">94</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "STUDYID",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">95</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "USUBJID",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">96</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "PARAMCD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">97</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "LAST_VISIT"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">98</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">99</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">100</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtr &lt;- rbind(adtr %&gt;% dplyr::mutate(DTYPE = ""), adtr_postbase)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">101</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">102</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtr &lt;- merge(adtr, adtr_base, by = c("STUDYID", "USUBJID", "PARAMCD")) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">103</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">104</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ABLFL = dplyr::case_when(AVISIT == "BASELINE" ~ "Y", TRUE ~ ""),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">105</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL = dplyr::case_when(AVISIT == "BASELINE" ~ NA_real_, TRUE ~ AVAL),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">106</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      CHG = dplyr::case_when(AVISITN &gt; 0 ~ AVAL - BASE, TRUE ~ NA_real_),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">107</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PCHG = dplyr::case_when(AVISITN &gt; 0 ~ CHG / BASE * 100, TRUE ~ NA_real_),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">108</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVALC = as.character(AVAL),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">109</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVALU = "mm"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">110</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">111</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">112</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # ensure PCHG does not exceed 200%, nor go below -100% (double in size, or complete remission of tumor).</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">113</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtr &lt;- adtr %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">114</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">115</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PCHG_DUM = PCHG,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">116</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PCHG = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">117</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PCHG_DUM &gt; 200 ~ 200,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">118</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PCHG_DUM &lt; -100 ~ -100,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">119</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRUE ~ PCHG</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">120</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">121</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">122</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PCHG_DUM &gt; 200 ~ 3 * BASE,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">123</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PCHG_DUM &lt; -100 ~ 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">124</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRUE ~ AVAL</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">125</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">126</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      CHG = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">127</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PCHG_DUM &gt; 200 ~ 2 * BASE,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">128</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PCHG_DUM &lt; -100 ~ -BASE,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">129</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRUE ~ CHG</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">130</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">131</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">132</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-"PCHG_DUM")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">133</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">134</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtr &lt;- merge(adsl, adtr, by = c("STUDYID", "USUBJID")) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">135</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID, PARAMCD) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">136</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">137</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ONTRTFL = factor(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">138</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        !AVISIT %in% c("SCREENING", "BASELINE", "FOLLOW UP") ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">139</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRUE ~ ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">140</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">141</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ANL01FL = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">142</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        DTYPE == "" &amp; AVISITN &gt; 0 ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">143</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRUE ~ ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">144</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">145</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ANL03FL = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">146</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        DTYPE == "MINIMUM" ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">147</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ABLFL == "Y" ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">148</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRUE ~ ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">149</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">150</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">151</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtr &lt;- merge(adtr, adtr_lastobs, by = c("STUDYID", "USUBJID", "PARAMCD")) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">152</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">153</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ANL02FL = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">154</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        as.character(AVISIT) == as.character(LAST_VISIT) ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">155</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ABLFL == "Y" ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">156</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRUE ~ ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">157</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">158</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">159</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-"LAST_VISIT")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">160</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Adding variables that are in ADTR osprey but not RCD.</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">161</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtr &lt;- adtr %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">162</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">163</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      DCSREAS_GRP = ifelse(DCSREAS == "ADVERSE EVENT", "Safety", "Non-Safety"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">164</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRTDURD = ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">165</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        is.na(TRTSDTM) | is.na(TRTEDTM),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">166</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        NA,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">167</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRTEDTM - (TRTSDTM + lubridate::days(1))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">168</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">169</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AGEGR1 = ifelse(AGE &lt; 65, "&lt;65", "&gt;=65")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">170</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">171</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">172</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # apply metadata</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">173</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtr &lt;- apply_metadata(adtr, "metadata/ADTR.yml")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">174</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(adtr)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">175</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/raddv.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Protocol Deviations Analysis Dataset (ADDV)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function for generating random Protocol Deviations Analysis Dataset for a given</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Subject-Level Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details One record per each record in the corresponding SDTM domain.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Keys: `STUDYID`, `USUBJID`, `ASTDT`, `DVTERM`, `DVSEQ`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param max_n_dv (`integer`)\cr Maximum number of deviations per patient. Defaults to 3.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param p_dv (`proportion`)\cr Probability of a patient having protocol deviations.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @template param_cached</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @templateVar data addv</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, seed = 1, study_duration = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' addv &lt;- raddv(adsl, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' addv</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">raddv &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  max_n_dv = 3L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  p_dv = 0.15,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  lookup = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">31</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_percentage = 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">32</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_vars = list(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">33</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "ASTDT" = c(seed = 1234, percentage = 0.1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">34</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "DVCAT" = c(seed = 1234, percentage = 0.1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">35</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">36</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  cached = FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">37</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(cached)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">38</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (cached) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">39</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(get_cached_data("caddv"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">40</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">41</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">42</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(adsl)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">43</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(max_n_dv, len = 1, lower = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">44</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(p_dv, lower = .Machine$double.xmin, upper = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">45</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(seed, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">46</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">47</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_true(na_percentage &lt; 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">48</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">49</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">50</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  study_duration_secs &lt;- lubridate::seconds(attr(adsl, "study_duration_secs"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">51</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">52</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(lookup, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">53</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  lookup_dv &lt;- if (!is.null(lookup)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">54</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lookup</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">55</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">56</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    tibble::tribble(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">57</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ~DOMAIN, ~DVCAT, ~DVDECOD, ~DVTERM, ~DVREAS, ~DVEPRELI,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">58</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "EXCLUSION CRITERIA", "Received prior prohibited therapy or medication", "", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">59</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "EXCLUSION CRITERIA", "Active or untreated or other excluded cns metastases", "", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">60</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "EXCLUSION CRITERIA", "History of other malignancies within the last 5 years", "", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">61</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "EXCLUSION CRITERIA", "Uncontrolled concurrent condition", "", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">62</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "EXCLUSION CRITERIA", "Other exclusion criteria", "", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">63</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "EXCLUSION CRITERIA", "Pregnancy criteria", "", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">64</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "INCLUSION CRITERIA", "Does not meet prior therapy requirements", "", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">65</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "INCLUSION CRITERIA", "Inclusion lab values outside allowed limits", "", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">66</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "INCLUSION CRITERIA", "No signed ICF at study entry", "", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">67</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "INCLUSION CRITERIA", "Inclusion-related test not done/out of window", "", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">68</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "INCLUSION CRITERIA", "Ineligible cancer type or current cancer stage", "", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">69</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "MEDICATION", "Dose missed or significantly out of window",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">70</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Site action due to epidemic/pandemic", "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">71</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "MEDICATION", "Received incorrect study medication", "", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">72</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "MEDICATION", "Received prohibited concomitant medication", "", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">73</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "MEDICATION", "Discontinued study drug for unspecified reason", "", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">74</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "MEDICATION", "Significant deviation from planned dose",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">75</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Site action due to epidemic/pandemic", "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">76</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "PROCEDURAL", "Missed assessment affecting safety/study outcomes", "", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">77</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "PROCEDURAL", "Eligibility-related test not done/out of window", "", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">78</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "PROCEDURAL", "Failure to sign updated ICF within two visits",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">79</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Site action due to epidemic/pandemic", "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">80</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "PROCEDURAL", "Omission of complete lab panel required by protocol", "", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">81</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "PROCEDURAL", "Omission of screening tumor assessment", "", "N",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">82</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "DV", "MAJOR", "PROCEDURAL", "Missed 2 or more efficacy assessments",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">83</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Site action due to epidemic/pandemic", "Y"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">84</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">85</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">86</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">87</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">88</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  addv &lt;- Map(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">89</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    function(id, sid) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">90</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      n_dv &lt;- stats::rbinom(1, 1, p_dv) * sample(c(1, seq_len(max_n_dv)), 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">91</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      i &lt;- sample(seq_len(nrow(lookup_dv)), n_dv, TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">92</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">93</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        lookup_dv[i, ],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">94</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        USUBJID = id,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">95</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        STUDYID = sid</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">96</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">97</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    },</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">98</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl$USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">99</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl$STUDYID</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">100</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">101</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    Reduce(rbind, .) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">102</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(DVSCAT = DVCAT)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">103</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">104</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  addv &lt;- var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">105</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    addv,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">106</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = "Study Identifier",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">107</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = "Unique Subject Identifier"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">108</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">109</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">110</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # merge ADSL to be able to add deviation date and study day variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">111</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  addv &lt;- dplyr::inner_join(addv, adsl, by = c("STUDYID", "USUBJID")) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">112</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::rowwise() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">113</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(TRTENDT = lubridate::date(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">114</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      is.na(TRTEDTM) ~ lubridate::floor_date(lubridate::date(TRTSDTM) + study_duration_secs, unit = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">115</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ TRTEDTM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">116</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">117</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASTDTM = sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">118</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      seq(lubridate::as_datetime(TRTSDTM), lubridate::as_datetime(TRTENDT), by = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">119</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      size = 1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">120</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">121</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASTDT = lubridate::date(ASTDTM)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">122</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASTDY = ceiling(difftime(ASTDTM, TRTSDTM, units = "days"))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">123</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-TRTENDT, -ASTDTM) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">124</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">125</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(STUDYID, USUBJID, ASTDT, DVTERM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">126</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">127</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  addv &lt;- addv %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">128</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">129</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(DVSEQ = seq_len(dplyr::n())) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">130</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">131</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(STUDYID, USUBJID, ASTDT, DVTERM, DVSEQ)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">132</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">133</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  addv &lt;- addv %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">134</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AEPRELFL = ifelse(DVEPRELI == "Y", DVEPRELI, ""))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">135</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">136</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (length(na_vars) &gt; 0 &amp;&amp; na_percentage &gt; 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">137</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    addv &lt;- mutate_na(ds = addv, na_vars = na_vars, na_percentage = na_percentage)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">138</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">139</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">140</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # apply metadata</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">141</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  addv &lt;- apply_metadata(addv, "metadata/ADDV.yml")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">142</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">143</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(addv)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">144</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/radtte.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Time-to-Event Analysis Dataset (ADTTE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function for generating a random Time-to-Event Analysis Dataset for a given</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Subject-Level Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Keys: `STUDYID`, `USUBJID`, `PARAMCD`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams radaette</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @template param_cached</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @templateVar data adtte</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, seed = 1, study_duration = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adtte &lt;- radtte(adsl, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adtte</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">radtte &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                   event_descr = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                   censor_descr = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                   lookup = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                   seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                   na_percentage = 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">31</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                   na_vars = list(CNSR = c(NA, 0.1), AVAL = c(1234, 0.1), AVALU = c(1234, 0.1)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">32</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                   cached = FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">33</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(cached)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">34</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (cached) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">35</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(get_cached_data("cadtte"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">36</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">37</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">38</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(adsl)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">39</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(censor_descr, null.ok = TRUE, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">40</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(event_descr, null.ok = TRUE, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">41</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(seed, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">42</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">43</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_true(na_percentage &lt; 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">44</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">45</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">46</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">47</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">48</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  study_duration_secs &lt;- lubridate::seconds(attr(adsl, "study_duration_secs"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">49</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">50</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(lookup, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">51</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  lookup_tte &lt;- if (!is.null(lookup)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">52</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lookup</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">53</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">54</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    tibble::tribble(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">55</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ~ARM, ~PARAMCD, ~PARAM, ~LAMBDA, ~CNSR_P,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">56</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM A", "EFS", "Event Free Survival", log(2) / 365, 0.4,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">57</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM B", "EFS", "Event Free Survival", log(2) / 305, 0.3,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">58</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM C", "EFS", "Event Free Survival", log(2) / 243, 0.2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">59</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM A", "CRSD", "Duration of Confirmed Response", log(2) / 305, 0.4,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">60</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM B", "CRSD", "Duration of Confirmed Response", log(2) / 243, 0.3,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">61</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM C", "CRSD", "Duration of Confirmed Response", log(2) / 182, 0.2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">62</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM A", "PFS", "Progression Free Survival", log(2) / 365, 0.4,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">63</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM B", "PFS", "Progression Free Survival", log(2) / 305, 0.3,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">64</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM C", "PFS", "Progression Free Survival", log(2) / 243, 0.2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">65</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM A", "OS", "Overall Survival", log(2) / 610, 0.4,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">66</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM B", "OS", "Overall Survival", log(2) / 490, 0.3,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">67</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM C", "OS", "Overall Survival", log(2) / 365, 0.2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">68</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">69</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">70</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">71</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  evntdescr_sel &lt;- if (!is.null(event_descr)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">72</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    event_descr</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">73</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">74</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">75</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Death",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">76</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Disease Progression",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">77</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Last Tumor Assessment",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">78</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Adverse Event",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">79</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Alive"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">80</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">81</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">82</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">83</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  cnsdtdscr_sel &lt;- if (!is.null(censor_descr)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">84</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    censor_descr</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">85</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">86</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">87</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Preferred Term",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">88</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Clinical Cut Off",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">89</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Completion or Discontinuation",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">90</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "End of AE Reporting Period"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">91</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">92</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">93</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">94</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtte &lt;- split(adsl, adsl$USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">95</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lapply(FUN = function(pinfo) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">96</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      lookup_tte %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">97</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::filter(ARM == as.character(pinfo$ACTARMCD)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">98</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::rowwise() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">99</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">100</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          STUDYID = pinfo$STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">101</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          SITEID = pinfo$SITEID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">102</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          USUBJID = pinfo$USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">103</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          AVALU = "DAYS"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">104</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">105</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::select(-"LAMBDA", -"CNSR_P")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">106</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    }) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">107</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    Reduce(rbind, .) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">108</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">109</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID = "Study Identifier",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">110</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID = "Unique Subject Identifier" # )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">111</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">112</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">113</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Loop through each patient and randomly assign a value for EVNTDESC</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">114</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtte_split &lt;- split(adtte, adtte$USUBJID)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">115</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">116</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Add EVNTDESC column</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">117</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtte_lst &lt;- lapply(adtte_split, function(split_df) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">118</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    # First create an empty EVNTDESC variable to populate</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">119</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    split_df$EVNTDESC &lt;- NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">120</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    for (i in 1:nrow(split_df)) { # nolint</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">121</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      # If this is the first row then create a random value from evntdescr_sel for EVNTDESC</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">122</td>
-                    <td class="coverage">120<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      if (i == 1) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">123</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        split_df$EVNTDESC[i] &lt;- sample(evntdescr_sel[c(1:4)], 1, prob = c(0.1, 0.3, 0.4, 0.2))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">124</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } else if (i != 1 &amp; i != nrow(split_df)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">125</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        # First check to see if "Death" has been entered in as a previous value</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">126</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        # If so we need to make the rest of the EVNTDESC values "Death" to make sense</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">127</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        # The patient cannot die and then come back to life</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">128</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        if (any(grepl("Death", split_df$EVNTDESC))) { # If previous value has "Death" the following need to be "Death"</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">129</td>
-                    <td class="coverage">21<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          split_df$EVNTDESC[i] &lt;- "Death"</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">130</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        } else { # If there are no "Death" values randomly select another value</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">131</td>
-                    <td class="coverage">39<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          split_df$EVNTDESC[i] &lt;- sample(evntdescr_sel[c(1:4)], 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">132</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">133</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } else { # This is for processing OS as this can only be "Death" or "Alive"</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">134</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        if (any(grepl("Death", split_df$EVNTDESC))) { # If previous value has "Death" the following need to be "Death"</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">135</td>
-                    <td class="coverage">21<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          split_df$EVNTDESC[i] &lt;- "Death"</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">136</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        } else { # If there are no "Death" values randomly select another value</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">137</td>
-                    <td class="coverage">9<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          split_df$EVNTDESC[i] &lt;- "Alive"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">138</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">139</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">140</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">141</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    split_df</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">142</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  })</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">143</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">144</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Add CNSR column</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">145</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtte_lst &lt;- lapply(adtte_lst, function(split_df) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">146</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    # First create an empty CNSR variable to populate</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">147</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    split_df$CNSR &lt;- NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">148</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    for (i in 1:nrow(split_df)) { # nolint</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">149</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      # If this is the first row then create a random value from evntdescr_sel for EVNTDESC</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">150</td>
-                    <td class="coverage">120<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      if (split_df$EVNTDESC[i] == "Death" | split_df$EVNTDESC[i] == "Disease Progression") {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">151</td>
-                    <td class="coverage">81<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        split_df$CNSR[i] &lt;- 0</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">152</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">153</td>
-                    <td class="coverage">39<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        split_df$CNSR[i] &lt;- 1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">154</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">155</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">156</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    split_df</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">157</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  })</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">158</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">159</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Add AVAL column</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">160</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtte_lst &lt;- lapply(adtte_lst, function(split_df) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">161</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    # First create an empty CNSR variable to populate</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">162</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    split_df$AVAL &lt;- NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">163</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    for (i in 1:nrow(split_df)) { # nolint</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">164</td>
-                    <td class="coverage">120<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      if (i == 1) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">165</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        split_df$AVAL[i] &lt;- stats::runif(1, 15, 100)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">166</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } else if (i != 1 &amp; any(grepl("Death", split_df[1:i - 1, "EVNTDESC"]))) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">167</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        # Check if there are any death values before the current row</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">168</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        # Set the AVAL to the value of the row that has the "Death" value</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">169</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        # as the patient cannot live longer than this value</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">170</td>
-                    <td class="coverage">42<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        death_position &lt;- match("Death", split_df[1:i - 1, "EVNTDESC"][[1]])</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">171</td>
-                    <td class="coverage">42<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        split_df$AVAL[i] &lt;- split_df$AVAL[death_position]</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">172</td>
-                    <td class="coverage">48<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } else if (i == 2) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">173</td>
-                    <td class="coverage">24<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        split_df$AVAL[i] &lt;- stats::runif(1, 100, 200)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">174</td>
-                    <td class="coverage">24<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } else if (i == 3) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">175</td>
-                    <td class="coverage">15<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        split_df$AVAL[i] &lt;- stats::runif(1, 200, 300)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">176</td>
-                    <td class="coverage">9<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } else if (i == 4) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">177</td>
-                    <td class="coverage">9<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        split_df$AVAL[i] &lt;- stats::runif(1, 300, 500)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">178</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">179</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">180</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    split_df</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">181</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  })</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">182</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">183</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Add CNSDTDSC column</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">184</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtte_lst &lt;- lapply(adtte_lst, function(split_df) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">185</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    # First create an empty CNSDTDSC variable to populate</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">186</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    split_df$CNSDTDSC &lt;- NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">187</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    for (i in 1:nrow(split_df)) { # nolint</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">188</td>
-                    <td class="coverage">120<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      if (split_df$CNSR[i] == 1 &amp; split_df$EVNTDESC[i] == "Last Tumor Assessment") {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">189</td>
-                    <td class="coverage">27<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        split_df$CNSDTDSC[i] &lt;- "Completion or Discontinuation"</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">190</td>
-                    <td class="coverage">93<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } else if (split_df$CNSR[i] == 1 &amp; split_df$EVNTDESC[i] == "Adverse Event") {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">191</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        split_df$CNSDTDSC[i] &lt;- "Preferred Term"</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">192</td>
-                    <td class="coverage">90<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } else if (split_df$CNSR[i] == 1 &amp; split_df$EVNTDESC[i] == "Alive") {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">193</td>
-                    <td class="coverage">9<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        split_df$CNSDTDSC[i] &lt;- "Alive During Study"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">194</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">195</td>
-                    <td class="coverage">81<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        split_df$CNSDTDSC[i] &lt;- ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">196</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">197</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">198</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    split_df</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">199</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  })</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">200</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">201</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Take the split df and combine them back together</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">202</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtte &lt;- do.call("rbind", adtte_lst)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">203</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  rownames(adtte) &lt;- NULL</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">204</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">205</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtte &lt;- var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">206</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adtte,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">207</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = "Study Identifier",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">208</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = "Unique Subject Identifier"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">209</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">210</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">211</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # merge ADSL to be able to add TTE date and study day variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">212</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtte &lt;- dplyr::inner_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">213</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(adtte, -"SITEID", -"ARM"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">214</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">215</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = c("STUDYID", "USUBJID")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">216</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">217</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::rowwise() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">218</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(TRTENDT = lubridate::date(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">219</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      is.na(TRTEDTM) ~ lubridate::floor_date(lubridate::date(TRTSDTM) + study_duration_secs, unit = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">220</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ TRTEDTM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">221</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">222</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ADTM = sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">223</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      seq(lubridate::as_datetime(TRTSDTM), lubridate::as_datetime(TRTENDT), by = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">224</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      size = 1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">225</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">226</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ADY = ceiling(difftime(ADTM, TRTSDTM, units = "days"))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">227</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-TRTENDT) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">228</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">229</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(STUDYID, USUBJID, ADTM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">230</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">231</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtte &lt;- adtte %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">232</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">233</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(TTESEQ = seq_len(dplyr::n())) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">234</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASEQ = TTESEQ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">235</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(PARAM = as.factor(PARAM)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">236</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(PARAMCD = as.factor(PARAMCD)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">237</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">238</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">239</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">240</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">241</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">242</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">243</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TTESEQ</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">244</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">245</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">246</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  mod_before_adtte &lt;- adtte</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">247</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">248</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # adding adverse event counts and log follow-up time</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">249</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtte &lt;- dplyr::bind_rows(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">250</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adtte,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">251</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    data.frame(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">252</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      adtte %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">253</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">254</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::slice_head(n = 1) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">255</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">256</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          PARAMCD = "TNE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">257</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          PARAM = "Total Number of Exacerbations",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">258</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          AVAL = stats::rpois(1, 3),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">259</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          AVALU = "COUNT",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">260</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          lgTMATRSK = log(stats::rexp(1, rate = 3)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">261</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          dplyr::across(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">262</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            c("ASEQ", "TTESEQ", "ADY", "ADTM", "EVNTDESC"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">263</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            ~NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">264</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">265</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">266</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">267</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">268</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">269</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">270</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">271</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">272</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">273</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TTESEQ</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">274</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">275</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">276</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  mod_after_adtte &lt;- adtte</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">277</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">278</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (length(na_vars) &gt; 0 &amp;&amp; na_percentage &gt; 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">279</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adtte &lt;- mutate_na(ds = adtte, na_vars = na_vars, na_percentage = na_percentage)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">280</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">281</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">282</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # apply metadata</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">283</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adtte &lt;- apply_metadata(adtte, "metadata/ADTTE.yml")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">284</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">285</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(adtte)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">286</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/radsl.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Subject-Level Analysis Dataset (ADSL)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' The Subject-Level Analysis Dataset (ADSL) is used to provide the variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' that describe attributes of a subject. ADSL is a source for subject-level</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' variables used in other analysis data sets, such as population flags and</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' treatment variables. There is only one ADSL per study. ADSL and its related</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' metadata are required in a CDISC-based submission of data from a clinical</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' trial even if no other analysis data sets are submitted.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details One record per subject.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Keys: `STUDYID`, `USUBJID`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param N (`numeric`)\cr Number of patients.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param study_duration (`numeric`)\cr Duration of study in years.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param with_trt02 (`logical`)\cr Should period 2 be added.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param ae_withdrawal_prob (`proportion`)\cr Probability that there is at least one</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Adverse Event leading to the withdrawal of a study drug.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @template param_cached</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @templateVar data adsl</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, study_duration = 2, seed = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">31</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">32</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">33</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   N = 10, seed = 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">34</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   na_percentage = 0.1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">35</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   na_vars = list(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">36</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'     DTHDT = c(seed = 1234, percentage = 0.1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">37</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'     LSTALVDT = c(seed = 1234, percentage = 0.1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">38</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'   )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">39</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">40</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">41</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">42</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, seed = 1, na_percentage = .1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">43</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">44</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">radsl &lt;- function(N = 400, # nolint</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">45</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  study_duration = 2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">46</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">47</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  with_trt02 = TRUE,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">48</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_percentage = 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">49</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_vars = list(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">50</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "AGE" = NA, "SEX" = NA, "RACE" = NA, "STRATA1" = NA, "STRATA2" = NA,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">51</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "BMRKR1" = c(seed = 1234, percentage = 0.1), "BMRKR2" = c(1234, 0.1), "BEP01FL" = NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">52</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">53</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ae_withdrawal_prob = 0.05,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">54</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  cached = FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">55</td>
-                    <td class="coverage">28<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(cached)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">56</td>
-                    <td class="coverage">28<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (cached) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">57</td>
-                    <td class="coverage">2<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(get_cached_data("cadsl"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">58</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">59</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">60</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(N)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">61</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(seed, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">62</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1, na.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">63</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(study_duration, lower = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">64</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">65</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_true(na_percentage &lt; 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">66</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">67</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">68</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">69</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">70</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">71</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  study_duration_secs &lt;- lubridate::seconds(lubridate::years(study_duration))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">72</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  sys_dtm &lt;- lubridate::fast_strptime("20/2/2019 11:16:16.683", "%d/%m/%Y %H:%M:%OS")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">73</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  discons &lt;- max(1, floor((N * .3)))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">74</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  country_site_prob &lt;- c(.5, .121, .077, .077, .075, .052, .046, .025, .014, .003)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">75</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">76</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsl &lt;- tibble::tibble(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">77</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = rep("AB12345", N),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">78</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    COUNTRY = sample_fct(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">79</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      c("CHN", "USA", "BRA", "PAK", "NGA", "RUS", "JPN", "GBR", "CAN", "CHE"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">80</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      N,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">81</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      prob = country_site_prob</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">82</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">83</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    SITEID = sample_fct(1:20, N, prob = rep(country_site_prob, times = 2)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">84</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    SUBJID = paste("id", seq_len(N), sep = "-"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">85</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AGE = sapply(stats::rchisq(N, df = 5, ncp = 10), max, 0) + 20,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">86</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AGEU = "YEARS",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">87</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    SEX = c("F", "M") %&gt;% sample_fct(N, prob = c(.52, .48)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">88</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ARMCD = c("ARM A", "ARM B", "ARM C") %&gt;% sample_fct(N),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">89</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    RACE = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">90</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ASIAN", "BLACK OR AFRICAN AMERICAN", "WHITE", "AMERICAN INDIAN OR ALASKA NATIVE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">91</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "MULTIPLE", "NATIVE HAWAIIAN OR OTHER PACIFIC ISLANDER", "OTHER", "UNKNOWN"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">92</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">93</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      sample_fct(N, prob = c(.55, .23, .16, .05, .004, .003, .002, .002)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">94</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    TRTSDTM = sys_dtm + sample(seq(0, study_duration_secs), size = N, replace = TRUE),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">95</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    RANDDT = lubridate::date(TRTSDTM - lubridate::days(floor(stats::runif(N, min = 0, max = 5)))),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">96</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    TRTEDTM = TRTSDTM + study_duration_secs,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">97</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STRATA1 = c("A", "B", "C") %&gt;% sample_fct(N),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">98</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STRATA2 = c("S1", "S2") %&gt;% sample_fct(N),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">99</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    BMRKR1 = stats::rchisq(N, 6),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">100</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    BMRKR2 = sample_fct(c("LOW", "MEDIUM", "HIGH"), N),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">101</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    BMEASIFL = sample_fct(c("Y", "N"), N),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">102</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    BEP01FL = sample_fct(c("Y", "N"), N),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">103</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AEWITHFL = sample_fct(c("Y", "N"), N, prob = c(ae_withdrawal_prob, 1 - ae_withdrawal_prob))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">104</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">105</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ARM = dplyr::recode(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">106</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ARMCD,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">107</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ARM A" = "A: Drug X", "ARM B" = "B: Placebo", "ARM C" = "C: Combination"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">108</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">109</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ACTARM = ARM) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">110</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ACTARMCD = ARMCD) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">111</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(TRT01P = ARM) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">112</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(TRT01A = ACTARM) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">113</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ITTFL = factor("Y")) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">114</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(SAFFL = factor("Y")) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">115</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(TRTSDTM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">116</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">117</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adds &lt;- adsl[sample(nrow(adsl), discons), ] %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">118</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(TRTEDTM_discon = sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">119</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      seq(from = max(TRTSDTM), to = sys_dtm + study_duration_secs, by = 1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">120</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      size = discons,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">121</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      replace = TRUE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">122</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">123</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(SUBJID, TRTSDTM, TRTEDTM_discon) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">124</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(TRTSDTM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">125</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">126</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsl &lt;- dplyr::left_join(adsl, adds, by = c("SUBJID", "TRTSDTM")) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">127</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(TRTEDTM = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">128</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      !is.na(TRTEDTM_discon) ~ TRTEDTM_discon,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">129</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRTSDTM &gt;= quantile(TRTSDTM)[2] &amp; TRTSDTM &lt;= quantile(TRTSDTM)[3] ~ lubridate::as_datetime(NA),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">130</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ TRTEDTM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">131</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">132</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-"TRTEDTM_discon")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">133</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">134</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # add period 2 if needed</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">135</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (with_trt02) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">136</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    with_trt02 &lt;- lubridate::seconds(lubridate::years(1))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">137</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl &lt;- adsl %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">138</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::mutate(TRT02P = sample(ARM)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">139</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::mutate(TRT02A = sample(ACTARM)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">140</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">141</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRT01SDTM = TRTSDTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">142</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AP01SDTM = TRT01SDTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">143</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRT01EDTM = TRTEDTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">144</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AP01EDTM = TRT01EDTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">145</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRT02SDTM = TRTEDTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">146</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AP02SDTM = TRT02SDTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">147</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRT02EDTM = TRT01EDTM + with_trt02,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">148</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AP02EDTM = TRT02EDTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">149</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRTEDTM = TRT02EDTM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">150</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">151</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">152</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">153</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsl &lt;- adsl %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">154</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(EOSDT = lubridate::date(TRTEDTM)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">155</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(EOSDY = ceiling(difftime(TRTEDTM, TRTSDTM))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">156</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(EOSSTT = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">157</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      EOSDY == max(EOSDY, na.rm = TRUE) ~ "COMPLETED",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">158</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      EOSDY &lt; max(EOSDY, na.rm = TRUE) ~ "DISCONTINUED",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">159</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      is.na(TRTEDTM) ~ "ONGOING"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">160</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">161</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(EOTSTT = EOSSTT)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">162</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">163</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # disposition related variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">164</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # using probability of 1 for the "DEATH" level to ensure at least one death record exists</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">165</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  l_dcsreas &lt;- list(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">166</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    choices = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">167</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ADVERSE EVENT", "DEATH", "LACK OF EFFICACY", "PHYSICIAN DECISION",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">168</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "PROTOCOL VIOLATION", "WITHDRAWAL BY PARENT/GUARDIAN", "WITHDRAWAL BY SUBJECT"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">169</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">170</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    prob = c(.2, 1, .1, .1, .2, .1, .1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">171</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">172</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  l_dthcat_other &lt;- list(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">173</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    choices = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">174</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Post-study reporting of death", "LOST TO FOLLOW UP", "MISSING", "SUICIDE", "UNKNOWN"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">175</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">176</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    prob = c(.1, .3, .3, .2, .1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">177</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">178</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">179</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsl &lt;- adsl %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">180</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">181</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      DCSREAS = ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">182</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        EOSSTT == "DISCONTINUED",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">183</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        sample(x = l_dcsreas$choices, size = N, replace = TRUE, prob = l_dcsreas$prob),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">184</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        as.character(NA)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">185</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">186</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">187</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(DTHFL = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">188</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      DCSREAS == "DEATH" ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">189</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ "N"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">190</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">191</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">192</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      DTHCAT = ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">193</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        DCSREAS == "DEATH",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">194</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        sample(x = c("ADVERSE EVENT", "PROGRESSIVE DISEASE", "OTHER"), size = N, replace = TRUE),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">195</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        as.character(NA)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">196</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">197</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">198</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(DTHCAUS = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">199</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      DTHCAT == "ADVERSE EVENT" ~ "ADVERSE EVENT",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">200</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      DTHCAT == "PROGRESSIVE DISEASE" ~ "DISEASE PROGRESSION",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">201</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      DTHCAT == "OTHER" ~ sample(x = l_dthcat_other$choices, size = N, replace = TRUE, prob = l_dthcat_other$prob),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">202</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ as.character(NA)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">203</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">204</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ADTHAUT = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">205</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      DTHCAUS %in% c("ADVERSE EVENT", "DISEASE PROGRESSION") ~ "Yes",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">206</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      DTHCAUS %in% c("UNKNOWN", "SUICIDE", "Post-study reporting of death") ~ sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">207</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        x = c("Yes", "No"), size = N, replace = TRUE, prob = c(0.25, 0.75)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">208</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">209</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ as.character(NA)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">210</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">211</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    # adding some random number of days post last treatment date so that death days from last trt admin</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">212</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    # supports the LDDTHGR1 derivation below</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">213</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(DTHDT = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">214</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      DCSREAS == "DEATH" ~ lubridate::date(TRTEDTM + lubridate::days(sample(0:50, size = N, replace = TRUE))),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">215</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">216</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">217</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(LDDTHELD = difftime(DTHDT, lubridate::date(TRTEDTM), units = "days")) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">218</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(LDDTHGR1 = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">219</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      LDDTHELD &lt;= 30 ~ "&lt;=30",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">220</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      LDDTHELD &gt; 30 ~ "&gt;30",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">221</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ as.character(NA)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">222</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">223</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(LSTALVDT = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">224</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      DCSREAS == "DEATH" ~ DTHDT,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">225</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ lubridate::date(TRTEDTM) + lubridate::days(floor(stats::runif(N, min = 10, max = 30)))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">226</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">227</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">228</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # add random ETHNIC (Ethnicity)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">229</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsl &lt;- adsl %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">230</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ETHNIC = sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">231</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      x = c("HISPANIC OR LATINO", "NOT HISPANIC OR LATINO", "NOT REPORTED", "UNKNOWN"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">232</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      size = N, replace = TRUE, prob = c(.1, .8, .06, .04)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">233</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">234</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">235</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # associate DTHADY (Relative Day of Death) with Death date</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">236</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Date of Death [adsl.DTHDT] - date part of Date of First Exposure to Treatment [adsl.TRTSDTM]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">237</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">238</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsl &lt;- adsl %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">239</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(DTHADY = difftime(DTHDT, TRTSDTM, units = "days"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">240</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">241</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">242</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # associate sites with countries and regions</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">243</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsl &lt;- adsl %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">244</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(SITEID = paste0(COUNTRY, "-", SITEID)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">245</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(REGION1 = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">246</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      COUNTRY %in% c("NGA") ~ "Africa",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">247</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      COUNTRY %in% c("CHN", "JPN", "PAK") ~ "Asia",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">248</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      COUNTRY %in% c("RUS") ~ "Eurasia",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">249</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      COUNTRY %in% c("GBR") ~ "Europe",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">250</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      COUNTRY %in% c("CAN", "USA") ~ "North America",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">251</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      COUNTRY %in% c("BRA") ~ "South America",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">252</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ as.character(NA)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">253</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">254</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(INVID = paste("INV ID", SITEID)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">255</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(INVNAM = paste("Dr.", SITEID, "Doe")) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">256</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(USUBJID = paste(STUDYID, SITEID, SUBJID, sep = "-"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">257</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">258</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">259</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (length(na_vars) &gt; 0 &amp;&amp; na_percentage &gt; 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">260</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl &lt;- mutate_na(ds = adsl, na_vars = na_vars, na_percentage = na_percentage)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">261</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">262</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">263</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # apply metadata</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">264</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adsl &lt;- apply_metadata(adsl, "metadata/ADSL.yml", FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">265</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">266</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  attr(adsl, "study_duration_secs") &lt;- as.numeric(study_duration_secs)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">267</td>
-                    <td class="coverage">26<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(adsl)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">268</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/radrs.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Tumor Response Analysis Dataset (ADRS)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function for generating a random Tumor Response Analysis Dataset for a given</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Subject-Level Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' One record per subject per parameter per analysis visit per analysis date.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' SDTM variables are populated on new records coming from other single records.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Otherwise, SDTM variables are left blank.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Keys: `STUDYID`, `USUBJID`, `PARAMCD`, `AVISITN`, `ADT`, `RSSEQ`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param avalc (`character vector`)\cr Analysis value categories.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @template param_cached</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @templateVar data adrs</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, seed = 1, study_duration = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adrs &lt;- radrs(adsl, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adrs</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">radrs &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  avalc = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  lookup = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">31</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">32</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_percentage = 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">33</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_vars = list(AVISIT = c(NA, 0.1), AVAL = c(1234, 0.1), AVALC = c(1234, 0.1)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">34</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  cached = FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">35</td>
-                    <td class="coverage">7<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(cached)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">36</td>
-                    <td class="coverage">7<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (cached) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">37</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(get_cached_data("cadrs"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">38</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">39</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">40</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(adsl)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">41</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_vector(avalc, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">42</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(seed, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">43</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">44</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_true(na_percentage &lt; 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">45</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">46</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  param_codes &lt;- if (!is.null(avalc)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">47</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    avalc</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">48</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">49</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    stats::setNames(1:5, c("CR", "PR", "SD", "PD", "NE"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">50</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">51</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">52</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(lookup, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">53</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  lookup_ars &lt;- if (!is.null(lookup)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">54</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lookup</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">55</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">56</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    expand.grid(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">57</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ARM = c("A: Drug X", "B: Placebo", "C: Combination"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">58</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVALC = names(param_codes)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">59</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;% dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">60</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL = param_codes[AVALC],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">61</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      p_scr = c(rep(0, 3), rep(0, 3), c(1, 1, 1), c(0, 0, 0), c(0, 0, 0)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">62</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      p_bsl = c(rep(0, 3), rep(0, 3), c(1, 1, 1), c(0, 0, 0), c(0, 0, 0)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">63</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      p_cycle = c(c(.4, .3, .5), c(.35, .25, .25), c(.1, .2, .08), c(.14, 0.15, 0.15), c(.01, 0.1, 0.02)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">64</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      p_eoi = c(c(.4, .3, .5), c(.35, .25, .25), c(.1, .2, .08), c(.14, 0.15, 0.15), c(.01, 0.1, 0.02)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">65</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      p_fu = c(c(.3, .2, .4), c(.2, .1, .3), c(.2, .2, .2), c(.3, .5, 0.1), rep(0, 3))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">66</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">67</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">68</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">69</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">70</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">71</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">72</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  study_duration_secs &lt;- lubridate::seconds(attr(adsl, "study_duration_secs"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">73</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">74</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adrs &lt;- split(adsl, adsl$USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">75</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lapply(function(pinfo) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">76</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      probs &lt;- dplyr::filter(lookup_ars, ARM == as.character(pinfo$ACTARM))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">77</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">78</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      # screening</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">79</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      rsp_screen &lt;- sample(probs$AVALC, 1, prob = probs$p_scr) %&gt;% as.character()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">80</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">81</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      # baseline</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">82</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      rsp_bsl &lt;- sample(probs$AVALC, 1, prob = probs$p_bsl) %&gt;% as.character()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">83</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">84</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      # cycle</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">85</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      rsp_c2d1 &lt;- sample(probs$AVALC, 1, prob = probs$p_cycle) %&gt;% as.character()</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">86</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      rsp_c4d1 &lt;- sample(probs$AVALC, 1, prob = probs$p_cycle) %&gt;% as.character()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">87</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">88</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      # end of induction</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">89</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      rsp_eoi &lt;- sample(probs$AVALC, 1, prob = probs$p_eoi) %&gt;% as.character()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">90</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">91</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      # follow up</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">92</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      rsp_fu &lt;- sample(probs$AVALC, 1, prob = probs$p_fu) %&gt;% as.character()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">93</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">94</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      best_rsp &lt;- min(param_codes[c(rsp_screen, rsp_bsl, rsp_eoi, rsp_fu, rsp_c2d1, rsp_c4d1)])</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">95</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      best_rsp_i &lt;- which.min(param_codes[c(rsp_screen, rsp_bsl, rsp_eoi, rsp_fu, rsp_c2d1, rsp_c4d1)])</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">96</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">97</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      avisit &lt;- c("SCREENING", "BASELINE", "CYCLE 2 DAY 1", "CYCLE 4 DAY 1", "END OF INDUCTION", "FOLLOW UP")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">98</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">99</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      # meaningful date information</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">100</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      trtstdt &lt;- lubridate::date(pinfo$TRTSDTM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">101</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      trtendt &lt;- lubridate::date(dplyr::if_else(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">102</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        !is.na(pinfo$TRTEDTM), pinfo$TRTEDTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">103</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        lubridate::floor_date(trtstdt + study_duration_secs, unit = "day")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">104</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">105</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      scr_date &lt;- trtstdt - lubridate::days(100)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">106</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      bs_date &lt;- trtstdt</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">107</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      flu_date &lt;- sample(seq(lubridate::as_datetime(trtstdt), lubridate::as_datetime(trtendt), by = "day"), size = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">108</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      eoi_date &lt;- sample(seq(lubridate::as_datetime(trtstdt), lubridate::as_datetime(trtendt), by = "day"), size = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">109</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      c2d1_date &lt;- sample(seq(lubridate::as_datetime(trtstdt), lubridate::as_datetime(trtendt), by = "day"), size = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">110</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      c4d1_date &lt;- min(lubridate::date(c2d1_date + lubridate::days(60)), trtendt)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">111</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">112</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      tibble::tibble(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">113</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        STUDYID = pinfo$STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">114</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        SITEID = pinfo$SITEID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">115</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        USUBJID = pinfo$USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">116</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAMCD = as.factor(c(rep("OVRINV", 6), "BESRSPI", "INVET")),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">117</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAM = as.factor(dplyr::recode(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">118</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          PARAMCD,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">119</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          OVRINV = "Overall Response by Investigator - by visit",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">120</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          OVRSPI = "Best Overall Response by Investigator (no confirmation required)",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">121</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          BESRSPI = "Best Confirmed Overall Response by Investigator",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">122</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          INVET = "Investigator End Of Induction Response"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">123</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        )),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">124</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AVALC = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">125</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          rsp_screen, rsp_bsl, rsp_c2d1, rsp_c4d1, rsp_eoi, rsp_fu,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">126</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          names(param_codes)[best_rsp],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">127</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          rsp_eoi</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">128</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">129</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AVAL = param_codes[AVALC],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">130</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AVISIT = factor(c(avisit, avisit[best_rsp_i], avisit[5]), levels = avisit)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">131</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">132</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        merge(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">133</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          tibble::tibble(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">134</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            AVISIT = avisit,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">135</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            ADTM = c(scr_date, bs_date, c2d1_date, c4d1_date, eoi_date, flu_date),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">136</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            AVISITN = c(-1, 0, 2, 4, 999, 999),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">137</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            TRTSDTM = pinfo$TRTSDTM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">138</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">139</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">140</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">              ADY = ceiling(difftime(ADTM, TRTSDTM, units = "days"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">141</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">142</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            dplyr::select(-"TRTSDTM"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">143</td>
-                    <td class="coverage">60<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          by = "AVISIT"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">144</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">145</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    }) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">146</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    Reduce(rbind, .) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">147</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AVALC = factor(AVALC, levels = names(param_codes))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">148</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">149</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID = "Study Identifier",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">150</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID = "Unique Subject Identifier"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">151</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">152</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">153</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adrs &lt;- var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">154</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adrs,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">155</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = "Study Identifier",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">156</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = "Unique Subject Identifier"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">157</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">158</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">159</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # merge ADSL to be able to add RS date and study day variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">160</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">161</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">162</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adrs &lt;- dplyr::inner_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">163</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(adrs, -"SITEID"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">164</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">165</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = c("STUDYID", "USUBJID")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">166</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">167</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">168</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adrs &lt;- adrs %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">169</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">170</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(RSSEQ = seq_len(dplyr::n())) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">171</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASEQ = RSSEQ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">172</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">173</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">174</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">175</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">176</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">177</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISITN,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">178</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">179</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      RSSEQ</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">180</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">181</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">182</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (length(na_vars) &gt; 0 &amp;&amp; na_percentage &gt; 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">183</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adrs &lt;- mutate_na(ds = adrs, na_vars = na_vars, na_percentage = na_percentage)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">184</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">185</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">186</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # apply metadata</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">187</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adrs &lt;- apply_metadata(adrs, "metadata/ADRS.yml")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">188</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">189</td>
-                    <td class="coverage">6<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(adrs)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">190</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/radpp.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Pharmacokinetics Parameters Dataset (ADPP)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function for generating a random Pharmacokinetics Parameters Dataset for a given</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Subject-Level Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details One record per study, subject, parameter category, parameter and visit.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param ppcat (`character vector`)\cr Categories of parameters.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param ppspec (`character vector`)\cr Specimen material types.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @template param_cached</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @templateVar data adpp</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, seed = 1, study_duration = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adpp &lt;- radpp(adsl, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adpp</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">radpp &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ppcat = c("Plasma Drug X", "Plasma Drug Y", "Metabolite Drug X", "Metabolite Drug Y"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ppspec = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Plasma", "Plasma", "Plasma", "Matrix of PD", "Matrix of PD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Urine", "Urine", "Urine", "Urine"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  paramcd = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">31</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "AUCIFO", "CMAX", "CLO", "RMAX", "TON",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">32</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "RENALCL", "RENALCLD", "RCAMINT", "RCPCINT"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">33</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">34</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  param = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">35</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "AUC Infinity Obs", "Max Conc", "Total CL Obs", "Time of Maximum Response",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">36</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Time to Onset", "Renal CL", "Renal CL Norm by Dose",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">37</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Amt Rec from T1 to T2", "Pct Rec from T1 to T2"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">38</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">39</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  paramu = c("day*ug/mL", "ug/mL", "ml/day/kg", "hr", "hr", "L/hr", "L/hr/mg", "mg", "%"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">40</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  aval_mean = c(200, 30, 5, 10, 3, 0.05, 0.005, 1.5613, 15.65),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">41</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  visit_format = "CYCLE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">42</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  n_days = 2L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">43</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">44</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_percentage = 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">45</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_vars = list(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">46</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    AVAL = c(NA, 0.1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">47</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">48</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  cached = FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">49</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(cached)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">50</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (cached) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">51</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(get_cached_data("cadlb"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">52</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">53</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">54</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(ppcat)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">55</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(ppspec)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">56</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(paramcd)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">57</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(param)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">58</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(paramu)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">59</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_vector(aval_mean)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">60</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_string(visit_format)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">61</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(n_days)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">62</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(seed, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">63</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">64</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_true(na_percentage &lt; 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">65</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_list(na_vars)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">66</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">67</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assertTRUE(length(ppspec) == length(paramcd))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">68</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assertTRUE(length(ppspec) == length(param))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">69</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assertTRUE(length(ppspec) == length(paramu))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">70</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assertTRUE(length(ppspec) == length(aval_mean))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">71</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">72</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">73</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">74</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">75</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">76</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # validate and initialize related variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">77</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ppspec_init_list &lt;- relvar_init(param, ppspec)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">78</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  param_init_list &lt;- relvar_init(param, paramcd)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">79</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  unit_init_list &lt;- relvar_init(param, paramu)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">80</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">81</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adpp &lt;- expand.grid(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">82</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = unique(adsl$STUDYID),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">83</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = adsl$USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">84</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PPCAT = as.factor(ppcat),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">85</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAM = as.factor(param_init_list$relvar1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">86</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVISIT = visit_schedule(visit_format = visit_format, n_assessments = 1L, n_days = n_days),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">87</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    stringsAsFactors = FALSE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">88</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">89</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adpp &lt;- adpp %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">90</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AVAL = stats::rnorm(nrow(adpp), mean = 1, sd = 0.2)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">91</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::left_join(data.frame(PARAM = param, ADJUST = aval_mean), by = "PARAM") %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">92</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AVAL = AVAL * ADJUST) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">93</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-"ADJUST")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">94</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">95</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # assign related variable values: PARAMxPPSPEC are related</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">96</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adpp &lt;- adpp %&gt;% rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">97</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_name = "PPSPEC",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">98</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    related_var = "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">99</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_values = ppspec_init_list$relvar2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">100</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">101</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">102</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # assign related variable values: PARAMxPARAMCD are related</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">103</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adpp &lt;- adpp %&gt;% rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">104</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_name = "PARAMCD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">105</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    related_var = "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">106</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_values = param_init_list$relvar2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">107</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">108</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">109</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # assign related variable values: PARAMxAVALU are related</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">110</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adpp &lt;- adpp %&gt;% rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">111</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_name = "AVALU",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">112</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    related_var = "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">113</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_values = unit_init_list$relvar2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">114</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">115</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">116</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # derive AVISITN based AVISIT and AVALC based on AVAL</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">117</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adpp &lt;- adpp %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">118</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AVALC = as.character(AVAL)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">119</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">120</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISITN = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">121</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        AVISIT == "SCREENING" ~ 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">122</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (grepl("^WEEK", AVISIT) | grepl("^CYCLE", AVISIT)) ~ as.numeric(AVISIT) - 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">123</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRUE ~ NA_real_</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">124</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">125</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">126</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">127</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # derive REGIMEN variable</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">128</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adpp &lt;- adpp %&gt;% dplyr::mutate(REGIMEN = "BID")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">129</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">130</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # derive PPSTINT and PPENINT based on PARAMCD</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">131</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  t1_t2 &lt;- data.frame(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">132</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAMCD = c("RCAMINT", "RCAMINT", "RCPCINT", "RCPCINT"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">133</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PPSTINT = c("P0H", "P0H", "P0H", "P0H"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">134</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PPENINT = c("P12H", "P24H", "P12H", "P24H")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">135</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">136</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adpp &lt;- adpp %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">137</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::left_join(t1_t2, by = c("PARAMCD"), multiple = "all", relationship = "many-to-many")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">138</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">139</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adpp &lt;- dplyr::inner_join(adpp, adsl, by = c("STUDYID", "USUBJID")) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">140</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::filter(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">141</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ACTARM != "B: Placebo",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">142</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      !(ACTARM == "A: Drug X" &amp; (PPCAT == "Plasma Drug Y" | PPCAT == "Metabolite Drug Y"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">143</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">144</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">145</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # derive PKARMCD column for creating more cohorts</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">146</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adpp &lt;- adpp %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">147</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(PKARMCD = factor(1 + (seq_len(nrow(adpp)) - 1) %/% (nrow(adpp) / 10), labels = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">148</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Drug A", "Drug B", "Drug C", "Drug D", "Drug E", "Drug F", "Drug G", "Drug H",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">149</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Drug I", "Drug J"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">150</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">151</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">152</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (length(na_vars) &gt; 0 &amp;&amp; na_percentage &gt; 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">153</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adpp &lt;- mutate_na(ds = adpp, na_vars = na_vars, na_percentage = na_percentage)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">154</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">155</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">156</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adpp &lt;- apply_metadata(adpp, "metadata/ADPP.yml")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">157</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(adpp)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">158</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/radcm.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Previous and Concomitant Medications Analysis Dataset (ADCM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function for generating random Concomitant Medication Analysis Dataset for a given</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Subject-Level Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details One record per each record in the corresponding SDTM domain.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Keys: `STUDYID`, `USUBJID`, `ASTDTM`, `CMSEQ`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param max_n_cms (`integer`)\cr Maximum number of concomitant medications per patient. Defaults to 10.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param who_coding (`flag`)\cr Whether WHO coding (with multiple paths per medication) should be used.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @template param_cached</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @templateVar data adcm</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, seed = 1, study_duration = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adcm &lt;- radcm(adsl, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adcm</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adcm_who &lt;- radcm(adsl, seed = 2, who_coding = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adcm_who</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">radcm &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  max_n_cms = 10L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">31</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  lookup = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">32</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">33</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_percentage = 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">34</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_vars = list(CMCLAS = c(NA, 0.1), CMDECOD = c(1234, 0.1), ATIREL = c(1234, 0.1)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">35</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  who_coding = FALSE,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">36</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  cached = FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">37</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(cached)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">38</td>
-                    <td class="coverage">5<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (cached) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">39</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(get_cached_data("cadcm"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">40</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">41</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">42</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(adsl)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">43</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(max_n_cms, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">44</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(seed, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">45</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">46</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_true(na_percentage &lt; 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">47</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(who_coding)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">48</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">49</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(lookup, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">50</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  lookup_cm &lt;- if (!is.null(lookup)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">51</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lookup</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">52</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">53</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    tibble::tribble(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">54</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ~CMCLAS, ~CMDECOD, ~ATIREL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">55</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "medcl A", "medname A_1/3", "PRIOR",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">56</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "medcl A", "medname A_2/3", "CONCOMITANT",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">57</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "medcl A", "medname A_3/3", "CONCOMITANT",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">58</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "medcl B", "medname B_1/4", "CONCOMITANT",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">59</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "medcl B", "medname B_2/4", "PRIOR",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">60</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "medcl B", "medname B_3/4", "PRIOR",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">61</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "medcl B", "medname B_4/4", "CONCOMITANT",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">62</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "medcl C", "medname C_1/2", "CONCOMITANT",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">63</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "medcl C", "medname C_2/2", "CONCOMITANT"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">64</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">65</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">66</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">67</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">68</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">69</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">70</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  study_duration_secs &lt;- lubridate::seconds(attr(adsl, "study_duration_secs"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">71</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">72</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adcm &lt;- Map(function(id, sid) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">73</td>
-                    <td class="coverage">430<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    n_cms &lt;- sample(c(0, seq_len(max_n_cms)), 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">74</td>
-                    <td class="coverage">430<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    i &lt;- sample(seq_len(nrow(lookup_cm)), n_cms, TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">75</td>
-                    <td class="coverage">430<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">76</td>
-                    <td class="coverage">430<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      lookup_cm[i, ],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">77</td>
-                    <td class="coverage">430<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID = id,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">78</td>
-                    <td class="coverage">430<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID = sid</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">79</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">80</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }, adsl$USUBJID, adsl$STUDYID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">81</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    Reduce(rbind, .) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">82</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    `[`(c(4, 5, 1, 2, 3)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">83</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(CMCAT = CMCLAS)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">84</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">85</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adcm &lt;- var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">86</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adcm,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">87</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = "Study Identifier",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">88</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = "Unique Subject Identifier"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">89</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">90</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">91</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # merge ADSL to be able to add CM date and study day variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">92</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adcm &lt;- dplyr::inner_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">93</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adcm,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">94</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">95</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = c("STUDYID", "USUBJID")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">96</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">97</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::rowwise() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">98</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(TRTENDT = lubridate::date(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">99</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      is.na(TRTEDTM) ~ lubridate::floor_date(lubridate::date(TRTSDTM) + study_duration_secs, unit = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">100</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ TRTEDTM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">101</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">102</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASTDTM = sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">103</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      seq(lubridate::as_datetime(TRTSDTM), lubridate::as_datetime(TRTENDT), by = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">104</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      size = 1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">105</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">106</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASTDY = ceiling(difftime(ASTDTM, TRTSDTM, units = "days"))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">107</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    # add 1 to end of range incase both values passed to sample() are the same</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">108</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AENDTM = sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">109</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      seq(lubridate::as_datetime(ASTDTM), lubridate::as_datetime(TRTENDT + 1), by = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">110</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      size = 1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">111</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">112</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(AENDY = ceiling(difftime(AENDTM, TRTSDTM, units = "days"))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">113</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-TRTENDT) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">114</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">115</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(STUDYID, USUBJID, ASTDTM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">116</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">117</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adcm &lt;- adcm %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">118</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">119</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(CMSEQ = seq_len(dplyr::n())) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">120</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASEQ = CMSEQ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">121</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">122</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(STUDYID, USUBJID, ASTDTM, CMSEQ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">123</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">124</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATC1 = paste("ATCCLAS1", substr(CMDECOD, 9, 9)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">125</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATC2 = paste("ATCCLAS2", substr(CMDECOD, 9, 9)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">126</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATC3 = paste("ATCCLAS3", substr(CMDECOD, 9, 9)),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">127</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATC4 = paste("ATCCLAS4", substr(CMDECOD, 9, 9))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">128</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">129</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(CMINDC = sample(c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">130</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Nausea", "Hypertension", "Urticaria", "Fever",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">131</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Asthma", "Infection", "Diabete", "Diarrhea", "Pneumonia"</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">132</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ), dplyr::n(), replace = TRUE)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">133</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(CMDOSE = sample(1:99, dplyr::n(), replace = TRUE)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">134</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(CMTRT = substr(CMDECOD, 9, 13)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">135</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(CMDOSU = sample(c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">136</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "ug/mL", "ug/kg/day", "%", "uL", "DROP",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">137</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "umol/L", "mg", "mg/breath", "ug"</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">138</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ), dplyr::n(), replace = TRUE)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">139</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(CMROUTE = sample(c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">140</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "INTRAVENOUS", "ORAL", "NASAL",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">141</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "INTRAMUSCULAR", "SUBCUTANEOUS", "INHALED", "RECTAL", "UNKNOWN"</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">142</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ), dplyr::n(), replace = TRUE)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">143</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(CMDOSFRQ = sample(c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">144</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Q4W", "QN", "Q4H", "UNKNOWN", "TWICE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">145</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      "Q4H", "QD", "TID", "4 TIMES PER MONTH"</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">146</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ), dplyr::n(), replace = TRUE)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">147</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">148</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      # use 1 year as reference time point</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">149</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      CMSTRTPT = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">150</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ASTDY &lt;= 365 ~ "BEFORE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">151</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ASTDY &gt; 365 ~ "AFTER",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">152</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        is.na(ASTDY) ~ "U"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">153</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">154</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      CMENRTPT = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">155</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        EOSSTT %in% c("COMPLETED", "DISCONTINUED") ~ "BEFORE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">156</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        EOSSTT == "ONGOING" ~ "ONGOING",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">157</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        is.na(EOSSTT) ~ "U"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">158</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">159</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADURN = as.numeric(difftime(ASTDTM, AENDTM, units = "days")),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">160</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADURU = "days"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">161</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">162</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">163</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">164</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Optional WHO coding, which adds more `ATC` paths for randomly selected `CMDECOD`.</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">165</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (who_coding) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">166</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    n_cmdecod_path2 &lt;- ceiling(nrow(lookup_cm) / 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">167</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    cmdecod_path2 &lt;- sample(lookup_cm$CMDECOD, n_cmdecod_path2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">168</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adcm_path2 &lt;- adcm %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">169</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::filter(CMDECOD %in% cmdecod_path2) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">170</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">171</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ATC1 = paste(ATC1, "p2"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">172</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ATC2 = paste(ATC2, "p2"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">173</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ATC3 = paste(ATC3, "p2"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">174</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ATC4 = paste(ATC4, "p2")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">175</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">176</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">177</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    n_cmdecod_path3 &lt;- ceiling(length(cmdecod_path2) / 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">178</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    cmdecod_path3 &lt;- sample(cmdecod_path2, n_cmdecod_path3)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">179</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adcm_path3 &lt;- adcm %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">180</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::filter(CMDECOD %in% cmdecod_path3) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">181</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">182</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ATC1 = paste(ATC1, "p3"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">183</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ATC2 = paste(ATC2, "p3"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">184</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ATC3 = paste(ATC3, "p3"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">185</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ATC4 = paste(ATC4, "p3")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">186</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">187</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">188</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adcm &lt;- dplyr::bind_rows(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">189</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      adcm,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">190</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      adcm_path2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">191</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      adcm_path3</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">192</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">193</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">194</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">195</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adcm &lt;- adcm %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">196</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">197</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATC1CD = ATC1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">198</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATC2CD = ATC2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">199</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATC3CD = ATC3,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">200</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ATC4CD = ATC4</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">201</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">202</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">203</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (length(na_vars) &gt; 0 &amp;&amp; na_percentage &gt; 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">204</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adcm &lt;- mutate_na(ds = adcm, na_vars = na_vars, na_percentage = na_percentage)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">205</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">206</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">207</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # apply metadata</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">208</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adcm &lt;- apply_metadata(adcm, "metadata/ADCM.yml")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">209</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">210</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(adcm)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">211</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/radab.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Anti-Drug Antibody Analysis Dataset (ADAB)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function for generating a random Anti-Drug Antibody Analysis Dataset for a given</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Subject-Level Analysis Dataset and Pharmacokinetics Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams radpc</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param adpc (`data.frame`)\cr Pharmacokinetics Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @template param_cached</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @templateVar data adab</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details One record per study per subject per parameter per time point: "R1800000", "RESULT1", "R1800001", "RESULT2".</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, seed = 1, study_duration = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adpc &lt;- radpc(adsl, seed = 2, duration = 9 * 7)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adab &lt;- radab(adsl, adpc, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adab</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">radab &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  adpc,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  constants = c(D = 100, ka = 0.8, ke = 1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  paramcd = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "R1800000", "RESULT1", "R1800001", "RESULT2", "ADASTAT1", "INDUCD1", "ENHANC1",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "TRUNAFF1", "EMERNEG1", "EMERPOS1", "PERSADA1", "TRANADA1", "BFLAG1", "TIMADA1",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">31</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "ADADUR1", "ADASTAT2", "INDUCD2", "ENHANC2", "EMERNEG2", "EMERPOS2", "BFLAG2",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">32</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "TRUNAFF2"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">33</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">34</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  param = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">35</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Antibody titer units", "ADA interpreted per sample result",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">36</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Neutralizing Antibody titer units", "NAB interpreted per sample result",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">37</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "ADA Status of a patient", "Treatment induced ADA", "Treatment enhanced ADA",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">38</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Treatment unaffected", "Treatment Emergent - Negative",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">39</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Treatment Emergent - Positive", "Persistent ADA", "Transient ADA", "Baseline",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">40</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Time to onset of ADA", "ADA Duration", "NAB Status of a patient",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">41</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Treatment induced ADA, Neutralizing Antibody",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">42</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Treatment enhanced ADA, Neutralizing Antibody",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">43</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Treatment Emergent - Negative, Neutralizing Antibody",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">44</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Treatment Emergent - Positive, Neutralizing Antibody",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">45</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Baseline, Neutralizing Antibody",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">46</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Treatment unaffected, Neutralizing Antibody"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">47</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">48</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  avalu = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">49</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "titer", "", "titer", "", "", "", "", "", "", "", "", "", "", "weeks", "weeks",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">50</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "", "", "", "", "", "", ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">51</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">52</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">53</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_percentage = 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">54</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_vars = list(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">55</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    AVAL = c(NA, 0.1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">56</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">57</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  cached = FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">58</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(cached)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">59</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (cached) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">60</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(get_cached_data("cadab"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">61</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">62</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">63</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(adpc)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">64</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_subset(names(constants), c("D", "ka", "ke"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">65</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(seed, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">66</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1, na.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">67</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_list(na_vars)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">68</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(paramcd)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">69</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(param, len = length(paramcd))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">70</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(avalu, len = length(paramcd))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">71</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">72</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_true(na_percentage &lt; 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">73</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">74</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">75</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">76</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">77</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">78</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # validate and initialize related variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">79</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  param_init_list &lt;- relvar_init(param, paramcd)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">80</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  unit_init_list &lt;- relvar_init(param, avalu)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">81</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">82</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adpc &lt;- adpc %&gt;% dplyr::filter(ASMED == "PLASMA")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">83</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab0 &lt;- expand.grid(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">84</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = unique(adsl$STUDYID),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">85</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = unique(adsl$USUBJID),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">86</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    VISIT = unique(adpc$VISIT),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">87</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAM = as.factor(param_init_list$relvar1[c(1:4)]),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">88</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARCAT1 = "A: Drug X Antibody",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">89</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    stringsAsFactors = FALSE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">90</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">91</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Set random values for observations</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">92</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  visit_lvl_params &lt;- c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">93</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "Antibody titer units", "Neutralizing Antibody titer units",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">94</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "ADA interpreted per sample result", "NAB interpreted per sample result"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">95</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">96</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  aval_random &lt;- stats::rnorm(nrow(unique(adab0 %&gt;% dplyr::select(USUBJID, VISIT))), mean = 1, sd = 0.2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">97</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  aval_random &lt;- cbind(unique(adab0 %&gt;% dplyr::select(USUBJID, VISIT)), AVAL1 = aval_random)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">98</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">99</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab_visit &lt;- adab0 %&gt;% dplyr::left_join(aval_random, by = c("USUBJID", "VISIT"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">100</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab_visit &lt;- adab_visit %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">101</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">102</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL2 = ifelse(AVAL1 &gt;= 1, AVAL1, NA),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">103</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVALC = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">104</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        !is.na(AVAL2) ~ "POSITIVE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">105</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        is.na(AVAL2) ~ "NEGATIVE"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">106</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">107</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">108</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM %in% visit_lvl_params[3:4] &amp; !is.na(AVAL2)) ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">109</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM %in% visit_lvl_params[3:4] &amp; is.na(AVAL2)) ~ 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">110</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM %in% visit_lvl_params[1:2] &amp; !is.na(AVAL2)) ~ AVAL2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">111</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRUE ~ as.numeric(NA)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">112</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">113</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">114</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-c(AVAL1, AVAL2))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">115</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">116</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # retrieve other variables from adpc</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">117</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab_visit &lt;- adab_visit %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">118</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::inner_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">119</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      adpc %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">120</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::filter(PCTPT %in% c("Predose", "24H")) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">121</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        dplyr::select(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">122</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">123</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">124</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          VISIT,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">125</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          PCTPT,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">126</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ARM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">127</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ACTARM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">128</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          VISITDY,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">129</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          AFRLT,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">130</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          NFRLT,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">131</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ARRLT,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">132</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          NRRLT,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">133</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          RELTMU</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">134</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">135</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        unique(),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">136</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      by = c("STUDYID", "USUBJID", "VISIT")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">137</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">138</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    rename(ISTPT = PCTPT)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">139</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">140</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # mutate time from dose variables from adpc to convert into Days</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">141</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab_visit &lt;- adab_visit %&gt;% dplyr::mutate_at(c("AFRLT", "NFRLT", "ARRLT", "NRRLT"), ~ . / 24)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">142</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">143</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">144</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">145</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Set random values for subject level paramaters (Y/N)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">146</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">147</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab1 &lt;- expand.grid(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">148</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = unique(adsl$STUDYID),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">149</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = unique(adpc$USUBJID),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">150</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    VISIT = NA,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">151</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAM = as.factor(param_init_list$relvar1[c(5:13, 16:22)]),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">152</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARCAT1 = "A: Drug X Antibody",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">153</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    stringsAsFactors = FALSE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">154</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">155</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">156</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  sub_lvl_params &lt;- c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">157</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "ADA Status of a patient", "Treatment induced ADA", "Treatment enhanced ADA",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">158</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "Treatment unaffected", "Treatment Emergent - Negative",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">159</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "Treatment Emergent - Positive", "Persistent ADA", "Transient ADA", "Baseline",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">160</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    # "Time to onset of ADA", "ADA Duration",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">161</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "NAB Status of a patient",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">162</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "Treatment induced ADA, Neutralizing Antibody",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">163</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "Treatment enhanced ADA, Neutralizing Antibody",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">164</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "Treatment Emergent - Negative, Neutralizing Antibody",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">165</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "Treatment Emergent - Positive, Neutralizing Antibody",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">166</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "Baseline, Neutralizing Antibody",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">167</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    "Treatment unaffected, Neutralizing Antibody"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">168</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">169</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">170</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  aval_random_sub &lt;- stats::rbinom(nrow(unique(adab1 %&gt;% dplyr::select(USUBJID))), 1, 0.5)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">171</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  aval_random_sub &lt;- cbind(unique(adab1 %&gt;% dplyr::select(USUBJID)), AVAL1 = aval_random_sub)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">172</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">173</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab_sub &lt;- adab1 %&gt;% dplyr::left_join(aval_random_sub, by = c("USUBJID"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">174</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab_sub &lt;- adab_sub %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">175</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">176</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL = AVAL1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">177</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVALC = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">178</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAM %in% c("ADA Status of a patient", "NAB Status of a patient") &amp; AVAL1 == 1 ~ "POSITIVE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">179</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAM %in% c("ADA Status of a patient", "NAB Status of a patient") &amp; AVAL1 == 0 ~ "NEGATIVE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">180</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        !(PARAM %in% c("ADA Status of a patient", "NAB Status of a patient")) &amp; AVAL1 == 1 ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">181</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        !(PARAM %in% c("ADA Status of a patient", "NAB Status of a patient")) &amp; AVAL1 == 0 ~ "N"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">182</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">183</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">184</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-c(AVAL1))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">185</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">186</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # Set random values for subject level paramaters (numeric)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">187</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">188</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab2 &lt;- expand.grid(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">189</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = unique(adsl$STUDYID),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">190</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = unique(adpc$USUBJID),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">191</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    VISIT = NA,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">192</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAM = as.factor(param_init_list$relvar1[c(14, 15)]),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">193</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARCAT1 = "A: Drug X Antibody",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">194</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    stringsAsFactors = FALSE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">195</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">196</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">197</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  sub_lvl_params_num &lt;- c("Time to onset of ADA", "ADA Duration")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">198</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">199</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  aval_random_sub_num &lt;- stats::rnorm(nrow(unique(adab2 %&gt;% dplyr::select(USUBJID))), mean = 1, sd = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">200</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  aval_random_sub_num &lt;- cbind(unique(adab2 %&gt;% dplyr::select(USUBJID)), AVAL1 = aval_random_sub_num)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">201</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">202</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab_sub_num &lt;- adab2 %&gt;% dplyr::left_join(aval_random_sub_num, by = c("USUBJID"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">203</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab_sub_num &lt;- adab_sub_num %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">204</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">205</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL = ifelse(AVAL1 &gt;= 1, round(AVAL1, 2), NA),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">206</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVALC = as.character(AVAL)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">207</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">208</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-c(AVAL1))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">209</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">210</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">211</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab &lt;- bind_rows(adab_visit, adab_sub, adab_sub_num)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">212</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">213</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">214</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # assign related variable values: PARAMxPARAMCD are related</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">215</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab &lt;- adab %&gt;% rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">216</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_name = "PARAMCD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">217</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    related_var = "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">218</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_values = param_init_list$relvar2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">219</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">220</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">221</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # assign related variable values: PARAMxAVALU are related</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">222</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab &lt;- adab %&gt;% rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">223</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_name = "AVALU",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">224</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    related_var = "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">225</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_values = unit_init_list$relvar2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">226</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">227</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">228</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">229</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab &lt;- adab %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">230</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">231</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      RELTMU = "day",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">232</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ABLFL = ifelse(!is.na(NFRLT) &amp; NFRLT == 0, "Y", NA) # Baseline Record Flag</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">233</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">234</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADABLPFL = ifelse(PARAMCD == "RESULT1" &amp; !is.na(NFRLT) &amp; NFRLT == 0, "Y", NA)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">235</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      # Baseline ADA Eval. Param-Level Flag, only populate for ADA, not for NAB</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">236</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">237</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADPBLPFL = ifelse(PARAMCD == "RESULT1" &amp; !is.na(NFRLT) &amp; NFRLT &gt; 0 &amp; !is.na(AVAL), "Y", NA)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">238</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      # Post-Baseline ADA Eval. Param-Level Flag, only populate for ADA, not for NAB</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">239</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">240</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">241</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">242</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">243</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # create temporary flags to derive subject-level variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">244</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab_subj &lt;- adab %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">245</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">246</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">247</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      pos_bl = any(PARAM == "ADA interpreted per sample result" &amp; !is.na(ABLFL) &amp; AVALC == "POSITIVE"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">248</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      pos_bl_nab = any(PARAM == "NAB interpreted per sample result" &amp; !is.na(ABLFL) &amp; AVALC == "POSITIVE"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">249</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      any_pos_postbl = any(PARAM == "ADA interpreted per sample result" &amp; is.na(ABLFL) &amp; AVALC == "POSITIVE"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">250</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      any_pos_postbl_nab = any(PARAM == "NAB interpreted per sample result" &amp; is.na(ABLFL) &amp; AVALC == "POSITIVE"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">251</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      pos_last_postbl = any(PARAM == "ADA interpreted per sample result" &amp; NFRLT == max(NFRLT) &amp; AVALC == "POSITIVE"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">252</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ada_bl = AVAL[PARAM == "Antibody titer units" &amp; !is.na(ABLFL)],</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">253</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      nab_bl = AVAL[PARAM == "Neutralizing Antibody titer units" &amp; !is.na(ABLFL)]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">254</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">255</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  pos_tots &lt;- adab_subj %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">256</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::summarise(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">257</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      n_pos = sum(PARAM == "ADA interpreted per sample result" &amp; AVALC == "POSITIVE"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">258</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      inc_postbl = sum(PARAM == "ADA interpreted per sample result" &amp; is.na(ABLFL) &amp; (AVAL - ada_bl) &gt; 0.60),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">259</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      inc_postbl_nab = sum(PARAM == "NAB interpreted per sample result" &amp; is.na(ABLFL) &amp; (AVAL - nab_bl) &gt; 0.60),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">260</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      onset_ada = if (any(PARAM == "ADA interpreted per sample result" &amp; AVALC == "POSITIVE")) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">261</td>
-                    <td class="coverage">18<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        min(NFRLT[PARAM == "ADA interpreted per sample result" &amp; AVALC == "POSITIVE"])</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">262</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">263</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">264</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      },</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">265</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      last_ada = if (any(PARAM == "ADA interpreted per sample result" &amp; AVALC == "POSITIVE")) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">266</td>
-                    <td class="coverage">18<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        max(NFRLT[PARAM == "ADA interpreted per sample result" &amp; AVALC == "POSITIVE"])</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">267</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      } else {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">268</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        NA</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">269</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">270</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">271</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab_subj &lt;- adab_subj %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">272</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::left_join(pos_tots, by = "USUBJID") %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">273</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">274</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">275</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      NFRLT,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">276</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      pos_bl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">277</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      pos_bl_nab,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">278</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      any_pos_postbl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">279</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      any_pos_postbl_nab,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">280</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      inc_postbl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">281</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      inc_postbl_nab,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">282</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      pos_last_postbl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">283</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      n_pos,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">284</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      onset_ada,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">285</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      last_ada</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">286</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">287</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    unique()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">288</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">289</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # add flags to ADAB dataset</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">290</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab &lt;- adab %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">291</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::left_join(adab_subj, by = c("USUBJID", "NFRLT"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">292</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">293</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # derive subject-level variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">294</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab[!(adab$PARAM %in% visit_lvl_params), ] &lt;- adab %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">295</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::filter(!(PARAM %in% visit_lvl_params)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">296</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">297</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      # nolint start indentation_linter</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">298</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVALC = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">299</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "ADA Status of a patient" &amp; any_pos_postbl) ~ "POSITIVE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">300</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "ADA Status of a patient" &amp; !any_pos_postbl) ~ "NEGATIVE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">301</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Treatment induced ADA" &amp; !pos_bl &amp; any_pos_postbl) ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">302</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Treatment enhanced ADA" &amp; pos_bl &amp; inc_postbl &gt; 0) ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">303</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Treatment unaffected" &amp; pos_bl &amp; (inc_postbl == 0 | !any_pos_postbl)) ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">304</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Treatment Emergent - Positive" &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">305</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ((!pos_bl &amp; any_pos_postbl) | (pos_bl &amp; inc_postbl &gt; 0))) ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">306</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Treatment Emergent - Negative" &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">307</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          !((!pos_bl &amp; any_pos_postbl) | (pos_bl &amp; inc_postbl &gt; 0))) ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">308</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Persistent ADA" &amp; pos_last_postbl) ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">309</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Transient ADA" &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">310</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          (n_pos - pos_bl - pos_last_postbl == 1 | n_pos &gt; 1)) ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">311</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Baseline" &amp; pos_bl) ~ "POSITIVE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">312</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Baseline" &amp; !pos_bl) ~ "NEGATIVE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">313</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Time to onset of ADA") ~ as.character(onset_ada / 7),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">314</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "ADA Duration") ~ as.character((last_ada - onset_ada) / 7),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">315</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "NAB Status of a patient" &amp; any_pos_postbl_nab) ~ "POSITIVE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">316</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "NAB Status of a patient" &amp; !any_pos_postbl_nab) ~ "NEGATIVE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">317</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Treatment induced ADA, Neutralizing Antibody" &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">318</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          !pos_bl_nab &amp; any_pos_postbl_nab) ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">319</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Treatment enhanced ADA, Neutralizing Antibody" &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">320</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          pos_bl_nab &amp; inc_postbl_nab &gt; 0) ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">321</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Baseline, Neutralizing Antibody" &amp; pos_bl_nab) ~ "POSITIVE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">322</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Baseline, Neutralizing Antibody" &amp; !pos_bl_nab) ~ "NEGATIVE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">323</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Treatment unaffected, Neutralizing Antibody" &amp; pos_bl_nab &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">324</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          (inc_postbl_nab == 0 | !any_pos_postbl_nab)) ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">325</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Treatment Emergent - Positive, Neutralizing Antibody" &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">326</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ((!pos_bl_nab &amp; any_pos_postbl_nab) | (pos_bl_nab &amp; inc_postbl_nab &gt; 0))) ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">327</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Treatment Emergent - Negative, Neutralizing Antibody" &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">328</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          !((!pos_bl_nab &amp; any_pos_postbl_nab) | (pos_bl_nab &amp; inc_postbl_nab &gt; 0))) ~ "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">329</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRUE ~ "N"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">330</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">331</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVAL = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">332</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "ADA Status of a patient" &amp; any_pos_postbl) ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">333</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Treatment induced ADA" &amp; !pos_bl &amp; any_pos_postbl) ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">334</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Treatment enhanced ADA" &amp; pos_bl &amp; inc_postbl &gt; 0) ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">335</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Treatment unaffected" &amp; pos_bl &amp; (inc_postbl == 0 | !any_pos_postbl)) ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">336</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Treatment Emergent - Positive" &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">337</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ((!pos_bl &amp; any_pos_postbl) | (pos_bl &amp; inc_postbl &gt; 0))) ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">338</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Treatment Emergent - Negative" &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">339</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          !((!pos_bl &amp; any_pos_postbl) | (pos_bl &amp; inc_postbl &gt; 0))) ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">340</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Persistent ADA" &amp; pos_last_postbl) ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">341</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Transient ADA" &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">342</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          (n_pos - ifelse(pos_bl, 1, 0) - ifelse(pos_last_postbl, 1, 0) == 1 | n_pos &gt; 1)) ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">343</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Baseline" &amp; pos_bl) ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">344</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Time to onset of ADA") ~ onset_ada / 7,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">345</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "ADA Duration") ~ (last_ada - onset_ada) / 7,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">346</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "NAB Status of a patient" &amp; any_pos_postbl_nab) ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">347</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Treatment induced ADA, Neutralizing Antibody" &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">348</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          !pos_bl_nab &amp; any_pos_postbl_nab) ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">349</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Treatment enhanced ADA, Neutralizing Antibody" &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">350</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          pos_bl_nab &amp; inc_postbl_nab &gt; 0) ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">351</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Baseline, Neutralizing Antibody" &amp; pos_bl_nab) ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">352</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Treatment unaffected, Neutralizing Antibody" &amp; pos_bl_nab &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">353</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          (inc_postbl_nab == 0 | !any_pos_postbl_nab)) ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">354</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Treatment Emergent - Positive, Neutralizing Antibody" &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">355</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ((!pos_bl_nab &amp; any_pos_postbl_nab) | (pos_bl_nab &amp; inc_postbl_nab &gt; 0))) ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">356</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        (PARAM == "Treatment Emergent - Negative, Neutralizing Antibody" &amp;</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">357</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          !((!pos_bl_nab &amp; any_pos_postbl_nab) | (pos_bl_nab &amp; inc_postbl_nab &gt; 0))) ~ 1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">358</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRUE ~ 0</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">359</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">360</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      # nolint end indentation_linter</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">361</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARCAT1 = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">362</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        PARAM %in% c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">363</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          "Neutralizing Antibody titer units", "NAB interpreted per sample result",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">364</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          "NAB Status of a patient", "Treatment induced ADA, Neutralizing Antibody",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">365</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          "Treatment enhanced ADA, Neutralizing Antibody",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">366</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          "Treatment Emergent - Negative, Neutralizing Antibody",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">367</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          "Treatment Emergent - Positive, Neutralizing Antibody",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">368</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          "Treatment unaffected, Neutralizing Antibody"</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">369</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        ) ~ "A: Drug X Neutralizing Antibody",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">370</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        TRUE ~ PARCAT1</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">371</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">372</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">373</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">374</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # remove intermediate flag variables from adab</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">375</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab &lt;- adab %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">376</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">377</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      pos_bl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">378</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      pos_bl_nab,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">379</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      any_pos_postbl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">380</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      any_pos_postbl_nab,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">381</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      pos_last_postbl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">382</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      inc_postbl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">383</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      inc_postbl_nab,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">384</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      n_pos,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">385</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      onset_ada,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">386</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      last_ada</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">387</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">388</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">389</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (length(na_vars) &gt; 0 &amp;&amp; na_percentage &gt; 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">390</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adab &lt;- mutate_na(ds = adab, na_vars = na_vars, na_percentage = na_percentage)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">391</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">392</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">393</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adab &lt;- apply_metadata(adab, "metadata/ADAB.yml")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">394</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/radqs.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Questionnaires Analysis Dataset (ADQS)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @description `r lifecycle::badge("stable")`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function for generating a random Questionnaires Analysis Dataset for a given</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Subject-Level Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details One record per subject per parameter per analysis visit per analysis date.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Keys: `STUDYID`, `USUBJID`, `PARAMCD`, `AVISITN`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams argument_convention</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @template param_cached</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @templateVar data adqs</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @author npaszty</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, seed = 1, study_duration = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">23</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adqs &lt;- radqs(adsl, visit_format = "WEEK", n_assessments = 7L, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">25</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adqs</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">26</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">27</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adqs &lt;- radqs(adsl, visit_format = "CYCLE", n_assessments = 3L, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">28</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adqs</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">29</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">radqs &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">30</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  param = c(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">31</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "BFI All Questions",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">32</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Fatigue Interference",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">33</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Function/Well-Being (GF1,GF3,GF7)",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">34</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "Treatment Side Effects (GP2,C5,GP5)",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">35</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    "FKSI-19 All Questions"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">36</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">37</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  paramcd = c("BFIALL", "FATIGI", "FKSI-FWB", "FKSI-TSE", "FKSIALL"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">38</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  visit_format = "WEEK",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">39</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  n_assessments = 5L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">40</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  n_days = 5L,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">41</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  seed = NULL,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">42</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_percentage = 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">43</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  na_vars = list(</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">44</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    LOQFL = c(NA, 0.1), ABLFL2 = c(1234, 0.1), ABLFL = c(1235, 0.1),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">45</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                    CHG2 = c(1235, 0.1), PCHG2 = c(1235, 0.1), CHG = c(1234, 0.1), PCHG = c(1234, 0.1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">46</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  ),</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">47</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                  cached = FALSE) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">48</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_flag(cached)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">49</td>
-                    <td class="coverage">4<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (cached) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">50</td>
-                    <td class="coverage">1<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    return(get_cached_data("cadqs"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">51</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">52</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">53</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_data_frame(adsl)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">54</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(param, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">55</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_character(paramcd, min.len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">56</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_string(visit_format)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">57</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(n_assessments, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">58</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_integer(n_days, len = 1, any.missing = FALSE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">59</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(seed, null.ok = TRUE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">60</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_number(na_percentage, lower = 0, upper = 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">61</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  checkmate::assert_true(na_percentage &lt; 1)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">62</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">63</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # validate and initialize param vectors</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">64</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  param_init_list &lt;- relvar_init(param, paramcd)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">65</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">66</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (!is.null(seed)) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">67</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    set.seed(seed)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">68</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">69</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  study_duration_secs &lt;- lubridate::seconds(attr(adsl, "study_duration_secs"))</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">70</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">71</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqs &lt;- expand.grid(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">72</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = unique(adsl$STUDYID),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">73</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = adsl$USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">74</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    PARAM = param_init_list$relvar1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">75</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVISIT = visit_schedule(visit_format = visit_format, n_assessments = n_assessments, n_days = n_days),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">76</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    stringsAsFactors = FALSE</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">77</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">78</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">79</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqs &lt;- dplyr::mutate(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">80</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adqs,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">81</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    AVISITN = dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">82</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISIT == "SCREENING" ~ -1,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">83</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISIT == "BASELINE" ~ 0,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">84</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      (grepl("^WEEK", AVISIT) | grepl("^CYCLE", AVISIT)) ~ as.numeric(AVISIT) - 2,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">85</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ NA_real_</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">86</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">87</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">88</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">89</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # assign related variable values: PARAMxPARAMCD are related</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">90</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqs &lt;- adqs %&gt;% rel_var(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">91</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_name = "PARAMCD",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">92</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    related_var = "PARAM",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">93</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_values = param_init_list$relvar2</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">94</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">95</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">96</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqs$AVAL &lt;- stats::rnorm(nrow(adqs), mean = 50, sd = 8) + adqs$AVISITN * stats::rnorm(nrow(adqs), mean = 5, sd = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">97</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">98</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # order to prepare for change from screening and baseline values</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">99</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqs &lt;- adqs[order(adqs$STUDYID, adqs$USUBJID, adqs$PARAMCD, adqs$AVISITN), ]</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">100</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">101</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqs &lt;- Reduce(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">102</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    rbind,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">103</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    lapply(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">104</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      split(adqs, adqs$USUBJID),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">105</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      function(x) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">106</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        x$STUDYID &lt;- adsl$STUDYID[which(adsl$USUBJID == x$USUBJID[1])]</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">107</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        x$ABLFL2 &lt;- ifelse(x$AVISIT == "SCREENING", "Y", "")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">108</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        x$ABLFL &lt;- ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">109</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          toupper(visit_format) == "WEEK" &amp; x$AVISIT == "BASELINE",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">110</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">111</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          ifelse(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">112</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            toupper(visit_format) == "CYCLE" &amp; x$AVISIT == "CYCLE 1 DAY 1",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">113</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            "Y",</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">114</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">            ""</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">115</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">          )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">116</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        )</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">117</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        x$LOQFL &lt;- ifelse(x$AVAL &lt; 32, "Y", "N")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">118</td>
-                    <td class="coverage">30<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        x</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">119</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">120</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">121</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">122</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">123</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqs$BASE2 &lt;- retain(adqs, adqs$AVAL, adqs$ABLFL2 == "Y")</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">124</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqs$BASE &lt;- ifelse(adqs$ABLFL2 != "Y", retain(adqs, adqs$AVAL, adqs$ABLFL == "Y"), NA)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">125</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">126</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqs &lt;- adqs %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">127</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(CHG2 = AVAL - BASE2) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">128</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(PCHG2 = 100 * (CHG2 / BASE2)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">129</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(CHG = AVAL - BASE) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">130</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(PCHG = 100 * (CHG / BASE)) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">131</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">132</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID = attr(adsl$STUDYID, "label"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">133</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID = attr(adsl$USUBJID, "label")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">134</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">135</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">136</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqs &lt;- var_relabel(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">137</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adqs,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">138</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    STUDYID = "Study Identifier",</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">139</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    USUBJID = "Unique Subject Identifier"</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">140</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">141</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">142</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # merge ADSL to be able to add QS date and study day variables</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">143</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqs &lt;- dplyr::inner_join(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">144</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adqs,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">145</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">146</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    by = c("STUDYID", "USUBJID")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">147</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">148</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::rowwise() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">149</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(TRTENDT = lubridate::date(dplyr::case_when(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">150</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      is.na(TRTEDTM) ~ lubridate::floor_date(lubridate::date(TRTSDTM) + study_duration_secs, unit = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">151</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      TRUE ~ TRTEDTM</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">152</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">153</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    ungroup()</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">154</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">155</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqs &lt;- adqs %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">156</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">157</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    arrange(USUBJID, AVISITN) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">158</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ADTM = rep(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">159</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      sort(sample(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">160</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        seq(lubridate::as_datetime(TRTSDTM[1]), lubridate::as_datetime(TRTENDT[1]), by = "day"),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">161</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">        size = nlevels(AVISIT)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">162</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      )),</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">163</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      each = n() / nlevels(AVISIT)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">164</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">165</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">166</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ADY = ceiling(difftime(ADTM, TRTSDTM, units = "days"))) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">167</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::select(-TRTENDT) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">168</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(STUDYID, USUBJID, ADTM)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">169</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">170</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqs &lt;- adqs %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">171</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::group_by(USUBJID) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">172</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(QSSEQ = seq_len(dplyr::n())) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">173</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::mutate(ASEQ = QSSEQ) %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">174</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::ungroup() %&gt;%</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">175</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    dplyr::arrange(</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">176</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      STUDYID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">177</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      USUBJID,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">178</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      PARAMCD,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">179</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      AVISITN,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">180</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      ADTM,</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">181</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">      QSSEQ</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">182</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    )</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">183</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">184</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  if (length(na_vars) &gt; 0 &amp;&amp; na_percentage &gt; 0) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="missed">
-                    <td class="num">185</td>
-                    <td class="coverage">!</td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">    adqs &lt;- mutate_na(ds = adqs, na_vars = na_vars, na_percentage = na_percentage)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">186</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  }</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">187</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">188</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  # apply metadata</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">189</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  adqs &lt;- apply_metadata(adqs, "metadata/ADQS.yml")</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">190</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r"></pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">191</td>
-                    <td class="coverage">3<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  return(adqs)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">192</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <div id="R/radsaftte.R" class="hidden">
-              <table class="table-condensed">
-                <tbody>
-                  <tr class="never">
-                    <td class="num">1</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Time to Safety Event Analysis Dataset (ADSAFTTE)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">2</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">3</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Function to generate random Time-to-Safety Event Dataset for a</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">4</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' given Subject-Level Analysis Dataset.</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">5</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">6</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @details</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">7</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">8</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' Keys: `STUDYID`, `USUBJID`, `PARAMCD`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">9</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">10</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @inheritParams radaette</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">11</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @param ... Additional arguments to be passed to `radaette`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">12</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">13</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @return `data.frame`</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">14</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @export</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">15</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">16</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' @examples</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">17</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsl &lt;- radsl(N = 10, seed = 1, study_duration = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">18</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#'</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">19</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsaftte &lt;- radsaftte(adsl, seed = 2)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">20</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">#' adsaftte</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">21</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">radsaftte &lt;- function(adsl,</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">22</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">                      ...) {</pre>
-                    </td>
-                  </tr>
-                  <tr class="covered">
-                    <td class="num">23</td>
-                    <td class="coverage">2<em>x</em></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">  radaette(adsl = adsl, ...)</pre>
-                    </td>
-                  </tr>
-                  <tr class="never">
-                    <td class="num">24</td>
-                    <td class="coverage"></td>
-                    <td class="col-sm-12">
-                      <pre class="language-r">}</pre>
-                    </td>
-                  </tr>
-                </tbody>
-              </table>
-            </div>
-            <script>$('div#files pre').each(function(i, block) {
-    hljs.highlightBlock(block);
-});</script>
-          </div>
-        </div>
-      </div>
-    </div>
-  </div>
-</div>
-</body>
-</html>
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deleted file mode 100644
index 61358b13..00000000
--- a/latest-tag/coverage-report/lib/bootstrap-3.3.5/css/bootstrap-theme.min.css
+++ /dev/null
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diff --git a/latest-tag/coverage-report/lib/bootstrap-3.3.5/css/bootstrap.min.css b/latest-tag/coverage-report/lib/bootstrap-3.3.5/css/bootstrap.min.css
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deleted file mode 100644
index 36831143..00000000
--- a/latest-tag/coverage-report/lib/bootstrap-3.3.5/shim/html5shiv.min.js
+++ /dev/null
@@ -1,7 +0,0 @@
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diff --git a/latest-tag/coverage-report/lib/bootstrap-3.3.5/shim/respond.min.js b/latest-tag/coverage-report/lib/bootstrap-3.3.5/shim/respond.min.js
deleted file mode 100644
index 22094690..00000000
--- a/latest-tag/coverage-report/lib/bootstrap-3.3.5/shim/respond.min.js
+++ /dev/null
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-};
diff --git a/latest-tag/coverage-report/lib/crosstalk-1.2.1/css/crosstalk.min.css b/latest-tag/coverage-report/lib/crosstalk-1.2.1/css/crosstalk.min.css
deleted file mode 100644
index 6b453828..00000000
--- a/latest-tag/coverage-report/lib/crosstalk-1.2.1/css/crosstalk.min.css
+++ /dev/null
@@ -1 +0,0 @@
-.container-fluid.crosstalk-bscols{margin-left:-30px;margin-right:-30px;white-space:normal}body>.container-fluid.crosstalk-bscols{margin-left:auto;margin-right:auto}.crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column{display:inline-block;padding-right:12px;vertical-align:top}@media only screen and (max-width: 480px){.crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column{display:block;padding-right:inherit}}.crosstalk-input{margin-bottom:15px}.crosstalk-input .control-label{margin-bottom:0;vertical-align:middle}.crosstalk-input input[type="checkbox"]{margin:4px 0 0;margin-top:1px;line-height:normal}.crosstalk-input .checkbox{position:relative;display:block;margin-top:10px;margin-bottom:10px}.crosstalk-input .checkbox>label{padding-left:20px;margin-bottom:0;font-weight:400;cursor:pointer}.crosstalk-input .checkbox input[type="checkbox"],.crosstalk-input .checkbox-inline input[type="checkbox"]{position:absolute;margin-top:2px;margin-left:-20px}.crosstalk-input .checkbox+.checkbox{margin-top:-5px}.crosstalk-input .checkbox-inline{position:relative;display:inline-block;padding-left:20px;margin-bottom:0;font-weight:400;vertical-align:middle;cursor:pointer}.crosstalk-input .checkbox-inline+.checkbox-inline{margin-top:0;margin-left:10px}
diff --git a/latest-tag/coverage-report/lib/crosstalk-1.2.1/js/crosstalk.js b/latest-tag/coverage-report/lib/crosstalk-1.2.1/js/crosstalk.js
deleted file mode 100644
index fd9eb53d..00000000
--- a/latest-tag/coverage-report/lib/crosstalk-1.2.1/js/crosstalk.js
+++ /dev/null
@@ -1,1474 +0,0 @@
-(function(){function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o<r.length;o++)s(r[o]);return s}return e})()({1:[function(require,module,exports){
-"use strict";
-
-Object.defineProperty(exports, "__esModule", {
-  value: true
-});
-
-var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }();
-
-function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
-
-var Events = function () {
-  function Events() {
-    _classCallCheck(this, Events);
-
-    this._types = {};
-    this._seq = 0;
-  }
-
-  _createClass(Events, [{
-    key: "on",
-    value: function on(eventType, listener) {
-      var subs = this._types[eventType];
-      if (!subs) {
-        subs = this._types[eventType] = {};
-      }
-      var sub = "sub" + this._seq++;
-      subs[sub] = listener;
-      return sub;
-    }
-
-    // Returns false if no match, or string for sub name if matched
-
-  }, {
-    key: "off",
-    value: function off(eventType, listener) {
-      var subs = this._types[eventType];
-      if (typeof listener === "function") {
-        for (var key in subs) {
-          if (subs.hasOwnProperty(key)) {
-            if (subs[key] === listener) {
-              delete subs[key];
-              return key;
-            }
-          }
-        }
-        return false;
-      } else if (typeof listener === "string") {
-        if (subs && subs[listener]) {
-          delete subs[listener];
-          return listener;
-        }
-        return false;
-      } else {
-        throw new Error("Unexpected type for listener");
-      }
-    }
-  }, {
-    key: "trigger",
-    value: function trigger(eventType, arg, thisObj) {
-      var subs = this._types[eventType];
-      for (var key in subs) {
-        if (subs.hasOwnProperty(key)) {
-          subs[key].call(thisObj, arg);
-        }
-      }
-    }
-  }]);
-
-  return Events;
-}();
-
-exports.default = Events;
-
-},{}],2:[function(require,module,exports){
-"use strict";
-
-Object.defineProperty(exports, "__esModule", {
-  value: true
-});
-exports.FilterHandle = undefined;
-
-var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }();
-
-var _events = require("./events");
-
-var _events2 = _interopRequireDefault(_events);
-
-var _filterset = require("./filterset");
-
-var _filterset2 = _interopRequireDefault(_filterset);
-
-var _group = require("./group");
-
-var _group2 = _interopRequireDefault(_group);
-
-var _util = require("./util");
-
-var util = _interopRequireWildcard(_util);
-
-function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
-
-function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }
-
-function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
-
-function getFilterSet(group) {
-  var fsVar = group.var("filterset");
-  var result = fsVar.get();
-  if (!result) {
-    result = new _filterset2.default();
-    fsVar.set(result);
-  }
-  return result;
-}
-
-var id = 1;
-function nextId() {
-  return id++;
-}
-
-/**
- * Use this class to contribute to, and listen for changes to, the filter set
- * for the given group of widgets. Filter input controls should create one
- * `FilterHandle` and only call {@link FilterHandle#set}. Output widgets that
- * wish to displayed filtered data should create one `FilterHandle` and use
- * the {@link FilterHandle#filteredKeys} property and listen for change
- * events.
- *
- * If two (or more) `FilterHandle` instances in the same webpage share the
- * same group name, they will contribute to a single "filter set". Each
- * `FilterHandle` starts out with a `null` value, which means they take
- * nothing away from the set of data that should be shown. To make a
- * `FilterHandle` actually remove data from the filter set, set its value to
- * an array of keys which should be displayed. Crosstalk will aggregate the
- * various key arrays by finding their intersection; only keys that are
- * present in all non-null filter handles are considered part of the filter
- * set.
- *
- * @param {string} [group] - The name of the Crosstalk group, or if none,
- *   null or undefined (or any other falsy value). This can be changed later
- *   via the {@link FilterHandle#setGroup} method.
- * @param {Object} [extraInfo] - An object whose properties will be copied to
- *   the event object whenever an event is emitted.
- */
-
-var FilterHandle = exports.FilterHandle = function () {
-  function FilterHandle(group, extraInfo) {
-    _classCallCheck(this, FilterHandle);
-
-    this._eventRelay = new _events2.default();
-    this._emitter = new util.SubscriptionTracker(this._eventRelay);
-
-    // Name of the group we're currently tracking, if any. Can change over time.
-    this._group = null;
-    // The filterSet that we're tracking, if any. Can change over time.
-    this._filterSet = null;
-    // The Var we're currently tracking, if any. Can change over time.
-    this._filterVar = null;
-    // The event handler subscription we currently have on var.on("change").
-    this._varOnChangeSub = null;
-
-    this._extraInfo = util.extend({ sender: this }, extraInfo);
-
-    this._id = "filter" + nextId();
-
-    this.setGroup(group);
-  }
-
-  /**
-   * Changes the Crosstalk group membership of this FilterHandle. If `set()` was
-   * previously called on this handle, switching groups will clear those keys
-   * from the old group's filter set. These keys will not be applied to the new
-   * group's filter set either. In other words, `setGroup()` effectively calls
-   * `clear()` before switching groups.
-   *
-   * @param {string} group - The name of the Crosstalk group, or null (or
-   *   undefined) to clear the group.
-   */
-
-
-  _createClass(FilterHandle, [{
-    key: "setGroup",
-    value: function setGroup(group) {
-      var _this = this;
-
-      // If group is unchanged, do nothing
-      if (this._group === group) return;
-      // Treat null, undefined, and other falsy values the same
-      if (!this._group && !group) return;
-
-      if (this._filterVar) {
-        this._filterVar.off("change", this._varOnChangeSub);
-        this.clear();
-        this._varOnChangeSub = null;
-        this._filterVar = null;
-        this._filterSet = null;
-      }
-
-      this._group = group;
-
-      if (group) {
-        group = (0, _group2.default)(group);
-        this._filterSet = getFilterSet(group);
-        this._filterVar = (0, _group2.default)(group).var("filter");
-        var sub = this._filterVar.on("change", function (e) {
-          _this._eventRelay.trigger("change", e, _this);
-        });
-        this._varOnChangeSub = sub;
-      }
-    }
-
-    /**
-     * Combine the given `extraInfo` (if any) with the handle's default
-     * `_extraInfo` (if any).
-     * @private
-     */
-
-  }, {
-    key: "_mergeExtraInfo",
-    value: function _mergeExtraInfo(extraInfo) {
-      return util.extend({}, this._extraInfo ? this._extraInfo : null, extraInfo ? extraInfo : null);
-    }
-
-    /**
-     * Close the handle. This clears this handle's contribution to the filter set,
-     * and unsubscribes all event listeners.
-     */
-
-  }, {
-    key: "close",
-    value: function close() {
-      this._emitter.removeAllListeners();
-      this.clear();
-      this.setGroup(null);
-    }
-
-    /**
-     * Clear this handle's contribution to the filter set.
-     *
-     * @param {Object} [extraInfo] - Extra properties to be included on the event
-     *   object that's passed to listeners (in addition to any options that were
-     *   passed into the `FilterHandle` constructor).
-     * 
-     * @fires FilterHandle#change
-     */
-
-  }, {
-    key: "clear",
-    value: function clear(extraInfo) {
-      if (!this._filterSet) return;
-      this._filterSet.clear(this._id);
-      this._onChange(extraInfo);
-    }
-
-    /**
-     * Set this handle's contribution to the filter set. This array should consist
-     * of the keys of the rows that _should_ be displayed; any keys that are not
-     * present in the array will be considered _filtered out_. Note that multiple
-     * `FilterHandle` instances in the group may each contribute an array of keys,
-     * and only those keys that appear in _all_ of the arrays make it through the
-     * filter.
-     *
-     * @param {string[]} keys - Empty array, or array of keys. To clear the
-     *   filter, don't pass an empty array; instead, use the
-     *   {@link FilterHandle#clear} method.
-     * @param {Object} [extraInfo] - Extra properties to be included on the event
-     *   object that's passed to listeners (in addition to any options that were
-     *   passed into the `FilterHandle` constructor).
-     * 
-     * @fires FilterHandle#change
-     */
-
-  }, {
-    key: "set",
-    value: function set(keys, extraInfo) {
-      if (!this._filterSet) return;
-      this._filterSet.update(this._id, keys);
-      this._onChange(extraInfo);
-    }
-
-    /**
-     * @return {string[]|null} - Either: 1) an array of keys that made it through
-     *   all of the `FilterHandle` instances, or, 2) `null`, which means no filter
-     *   is being applied (all data should be displayed).
-     */
-
-  }, {
-    key: "on",
-
-
-    /**
-     * Subscribe to events on this `FilterHandle`.
-     *
-     * @param {string} eventType - Indicates the type of events to listen to.
-     *   Currently, only `"change"` is supported.
-     * @param {FilterHandle~listener} listener - The callback function that
-     *   will be invoked when the event occurs.
-     * @return {string} - A token to pass to {@link FilterHandle#off} to cancel
-     *   this subscription.
-     */
-    value: function on(eventType, listener) {
-      return this._emitter.on(eventType, listener);
-    }
-
-    /**
-     * Cancel event subscriptions created by {@link FilterHandle#on}.
-     *
-     * @param {string} eventType - The type of event to unsubscribe.
-     * @param {string|FilterHandle~listener} listener - Either the callback
-     *   function previously passed into {@link FilterHandle#on}, or the
-     *   string that was returned from {@link FilterHandle#on}.
-     */
-
-  }, {
-    key: "off",
-    value: function off(eventType, listener) {
-      return this._emitter.off(eventType, listener);
-    }
-  }, {
-    key: "_onChange",
-    value: function _onChange(extraInfo) {
-      if (!this._filterSet) return;
-      this._filterVar.set(this._filterSet.value, this._mergeExtraInfo(extraInfo));
-    }
-
-    /**
-     * @callback FilterHandle~listener
-     * @param {Object} event - An object containing details of the event. For
-     *   `"change"` events, this includes the properties `value` (the new
-     *   value of the filter set, or `null` if no filter set is active),
-     *   `oldValue` (the previous value of the filter set), and `sender` (the
-     *   `FilterHandle` instance that made the change).
-     */
-
-  }, {
-    key: "filteredKeys",
-    get: function get() {
-      return this._filterSet ? this._filterSet.value : null;
-    }
-  }]);
-
-  return FilterHandle;
-}();
-
-/**
- * @event FilterHandle#change
- * @type {object}
- * @property {object} value - The new value of the filter set, or `null`
- *   if no filter set is active.
- * @property {object} oldValue - The previous value of the filter set.
- * @property {FilterHandle} sender - The `FilterHandle` instance that
- *   changed the value.
- */
-
-},{"./events":1,"./filterset":3,"./group":4,"./util":11}],3:[function(require,module,exports){
-"use strict";
-
-Object.defineProperty(exports, "__esModule", {
-  value: true
-});
-
-var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }();
-
-var _util = require("./util");
-
-function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
-
-function naturalComparator(a, b) {
-  if (a === b) {
-    return 0;
-  } else if (a < b) {
-    return -1;
-  } else if (a > b) {
-    return 1;
-  }
-}
-
-/**
- * @private
- */
-
-var FilterSet = function () {
-  function FilterSet() {
-    _classCallCheck(this, FilterSet);
-
-    this.reset();
-  }
-
-  _createClass(FilterSet, [{
-    key: "reset",
-    value: function reset() {
-      // Key: handle ID, Value: array of selected keys, or null
-      this._handles = {};
-      // Key: key string, Value: count of handles that include it
-      this._keys = {};
-      this._value = null;
-      this._activeHandles = 0;
-    }
-  }, {
-    key: "update",
-    value: function update(handleId, keys) {
-      if (keys !== null) {
-        keys = keys.slice(0); // clone before sorting
-        keys.sort(naturalComparator);
-      }
-
-      var _diffSortedLists = (0, _util.diffSortedLists)(this._handles[handleId], keys),
-          added = _diffSortedLists.added,
-          removed = _diffSortedLists.removed;
-
-      this._handles[handleId] = keys;
-
-      for (var i = 0; i < added.length; i++) {
-        this._keys[added[i]] = (this._keys[added[i]] || 0) + 1;
-      }
-      for (var _i = 0; _i < removed.length; _i++) {
-        this._keys[removed[_i]]--;
-      }
-
-      this._updateValue(keys);
-    }
-
-    /**
-     * @param {string[]} keys Sorted array of strings that indicate
-     * a superset of possible keys.
-     * @private
-     */
-
-  }, {
-    key: "_updateValue",
-    value: function _updateValue() {
-      var keys = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : this._allKeys;
-
-      var handleCount = Object.keys(this._handles).length;
-      if (handleCount === 0) {
-        this._value = null;
-      } else {
-        this._value = [];
-        for (var i = 0; i < keys.length; i++) {
-          var count = this._keys[keys[i]];
-          if (count === handleCount) {
-            this._value.push(keys[i]);
-          }
-        }
-      }
-    }
-  }, {
-    key: "clear",
-    value: function clear(handleId) {
-      if (typeof this._handles[handleId] === "undefined") {
-        return;
-      }
-
-      var keys = this._handles[handleId];
-      if (!keys) {
-        keys = [];
-      }
-
-      for (var i = 0; i < keys.length; i++) {
-        this._keys[keys[i]]--;
-      }
-      delete this._handles[handleId];
-
-      this._updateValue();
-    }
-  }, {
-    key: "value",
-    get: function get() {
-      return this._value;
-    }
-  }, {
-    key: "_allKeys",
-    get: function get() {
-      var allKeys = Object.keys(this._keys);
-      allKeys.sort(naturalComparator);
-      return allKeys;
-    }
-  }]);
-
-  return FilterSet;
-}();
-
-exports.default = FilterSet;
-
-},{"./util":11}],4:[function(require,module,exports){
-(function (global){
-"use strict";
-
-Object.defineProperty(exports, "__esModule", {
-  value: true
-});
-
-var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }();
-
-var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; };
-
-exports.default = group;
-
-var _var2 = require("./var");
-
-var _var3 = _interopRequireDefault(_var2);
-
-function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }
-
-function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
-
-// Use a global so that multiple copies of crosstalk.js can be loaded and still
-// have groups behave as singletons across all copies.
-global.__crosstalk_groups = global.__crosstalk_groups || {};
-var groups = global.__crosstalk_groups;
-
-function group(groupName) {
-  if (groupName && typeof groupName === "string") {
-    if (!groups.hasOwnProperty(groupName)) {
-      groups[groupName] = new Group(groupName);
-    }
-    return groups[groupName];
-  } else if ((typeof groupName === "undefined" ? "undefined" : _typeof(groupName)) === "object" && groupName._vars && groupName.var) {
-    // Appears to already be a group object
-    return groupName;
-  } else if (Array.isArray(groupName) && groupName.length == 1 && typeof groupName[0] === "string") {
-    return group(groupName[0]);
-  } else {
-    throw new Error("Invalid groupName argument");
-  }
-}
-
-var Group = function () {
-  function Group(name) {
-    _classCallCheck(this, Group);
-
-    this.name = name;
-    this._vars = {};
-  }
-
-  _createClass(Group, [{
-    key: "var",
-    value: function _var(name) {
-      if (!name || typeof name !== "string") {
-        throw new Error("Invalid var name");
-      }
-
-      if (!this._vars.hasOwnProperty(name)) this._vars[name] = new _var3.default(this, name);
-      return this._vars[name];
-    }
-  }, {
-    key: "has",
-    value: function has(name) {
-      if (!name || typeof name !== "string") {
-        throw new Error("Invalid var name");
-      }
-
-      return this._vars.hasOwnProperty(name);
-    }
-  }]);
-
-  return Group;
-}();
-
-}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
-
-},{"./var":12}],5:[function(require,module,exports){
-(function (global){
-"use strict";
-
-Object.defineProperty(exports, "__esModule", {
-  value: true
-});
-
-var _group = require("./group");
-
-var _group2 = _interopRequireDefault(_group);
-
-var _selection = require("./selection");
-
-var _filter = require("./filter");
-
-var _input = require("./input");
-
-require("./input_selectize");
-
-require("./input_checkboxgroup");
-
-require("./input_slider");
-
-function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }
-
-var defaultGroup = (0, _group2.default)("default");
-
-function var_(name) {
-  return defaultGroup.var(name);
-}
-
-function has(name) {
-  return defaultGroup.has(name);
-}
-
-if (global.Shiny) {
-  global.Shiny.addCustomMessageHandler("update-client-value", function (message) {
-    if (typeof message.group === "string") {
-      (0, _group2.default)(message.group).var(message.name).set(message.value);
-    } else {
-      var_(message.name).set(message.value);
-    }
-  });
-}
-
-var crosstalk = {
-  group: _group2.default,
-  var: var_,
-  has: has,
-  SelectionHandle: _selection.SelectionHandle,
-  FilterHandle: _filter.FilterHandle,
-  bind: _input.bind
-};
-
-/**
- * @namespace crosstalk
- */
-exports.default = crosstalk;
-
-global.crosstalk = crosstalk;
-
-}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
-
-},{"./filter":2,"./group":4,"./input":6,"./input_checkboxgroup":7,"./input_selectize":8,"./input_slider":9,"./selection":10}],6:[function(require,module,exports){
-(function (global){
-"use strict";
-
-Object.defineProperty(exports, "__esModule", {
-  value: true
-});
-exports.register = register;
-exports.bind = bind;
-var $ = global.jQuery;
-
-var bindings = {};
-
-function register(reg) {
-  bindings[reg.className] = reg;
-  if (global.document && global.document.readyState !== "complete") {
-    $(function () {
-      bind();
-    });
-  } else if (global.document) {
-    setTimeout(bind, 100);
-  }
-}
-
-function bind() {
-  Object.keys(bindings).forEach(function (className) {
-    var binding = bindings[className];
-    $("." + binding.className).not(".crosstalk-input-bound").each(function (i, el) {
-      bindInstance(binding, el);
-    });
-  });
-}
-
-// Escape jQuery identifier
-function $escape(val) {
-  return val.replace(/([!"#$%&'()*+,./:;<=>?@[\\\]^`{|}~])/g, "\\$1");
-}
-
-function bindEl(el) {
-  var $el = $(el);
-  Object.keys(bindings).forEach(function (className) {
-    if ($el.hasClass(className) && !$el.hasClass("crosstalk-input-bound")) {
-      var binding = bindings[className];
-      bindInstance(binding, el);
-    }
-  });
-}
-
-function bindInstance(binding, el) {
-  var jsonEl = $(el).find("script[type='application/json'][data-for='" + $escape(el.id) + "']");
-  var data = JSON.parse(jsonEl[0].innerText);
-
-  var instance = binding.factory(el, data);
-  $(el).data("crosstalk-instance", instance);
-  $(el).addClass("crosstalk-input-bound");
-}
-
-if (global.Shiny) {
-  var inputBinding = new global.Shiny.InputBinding();
-  var _$ = global.jQuery;
-  _$.extend(inputBinding, {
-    find: function find(scope) {
-      return _$(scope).find(".crosstalk-input");
-    },
-    initialize: function initialize(el) {
-      if (!_$(el).hasClass("crosstalk-input-bound")) {
-        bindEl(el);
-      }
-    },
-    getId: function getId(el) {
-      return el.id;
-    },
-    getValue: function getValue(el) {},
-    setValue: function setValue(el, value) {},
-    receiveMessage: function receiveMessage(el, data) {},
-    subscribe: function subscribe(el, callback) {
-      _$(el).data("crosstalk-instance").resume();
-    },
-    unsubscribe: function unsubscribe(el) {
-      _$(el).data("crosstalk-instance").suspend();
-    }
-  });
-  global.Shiny.inputBindings.register(inputBinding, "crosstalk.inputBinding");
-}
-
-}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
-
-},{}],7:[function(require,module,exports){
-(function (global){
-"use strict";
-
-var _input = require("./input");
-
-var input = _interopRequireWildcard(_input);
-
-var _filter = require("./filter");
-
-function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
-
-var $ = global.jQuery;
-
-input.register({
-  className: "crosstalk-input-checkboxgroup",
-
-  factory: function factory(el, data) {
-    /*
-     * map: {"groupA": ["keyA", "keyB", ...], ...}
-     * group: "ct-groupname"
-     */
-    var ctHandle = new _filter.FilterHandle(data.group);
-
-    var lastKnownKeys = void 0;
-    var $el = $(el);
-    $el.on("change", "input[type='checkbox']", function () {
-      var checked = $el.find("input[type='checkbox']:checked");
-      if (checked.length === 0) {
-        lastKnownKeys = null;
-        ctHandle.clear();
-      } else {
-        var keys = {};
-        checked.each(function () {
-          data.map[this.value].forEach(function (key) {
-            keys[key] = true;
-          });
-        });
-        var keyArray = Object.keys(keys);
-        keyArray.sort();
-        lastKnownKeys = keyArray;
-        ctHandle.set(keyArray);
-      }
-    });
-
-    return {
-      suspend: function suspend() {
-        ctHandle.clear();
-      },
-      resume: function resume() {
-        if (lastKnownKeys) ctHandle.set(lastKnownKeys);
-      }
-    };
-  }
-});
-
-}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
-
-},{"./filter":2,"./input":6}],8:[function(require,module,exports){
-(function (global){
-"use strict";
-
-var _input = require("./input");
-
-var input = _interopRequireWildcard(_input);
-
-var _util = require("./util");
-
-var util = _interopRequireWildcard(_util);
-
-var _filter = require("./filter");
-
-function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
-
-var $ = global.jQuery;
-
-input.register({
-  className: "crosstalk-input-select",
-
-  factory: function factory(el, data) {
-    /*
-     * items: {value: [...], label: [...]}
-     * map: {"groupA": ["keyA", "keyB", ...], ...}
-     * group: "ct-groupname"
-     */
-
-    var first = [{ value: "", label: "(All)" }];
-    var items = util.dataframeToD3(data.items);
-    var opts = {
-      options: first.concat(items),
-      valueField: "value",
-      labelField: "label",
-      searchField: "label"
-    };
-
-    var select = $(el).find("select")[0];
-
-    var selectize = $(select).selectize(opts)[0].selectize;
-
-    var ctHandle = new _filter.FilterHandle(data.group);
-
-    var lastKnownKeys = void 0;
-    selectize.on("change", function () {
-      if (selectize.items.length === 0) {
-        lastKnownKeys = null;
-        ctHandle.clear();
-      } else {
-        var keys = {};
-        selectize.items.forEach(function (group) {
-          data.map[group].forEach(function (key) {
-            keys[key] = true;
-          });
-        });
-        var keyArray = Object.keys(keys);
-        keyArray.sort();
-        lastKnownKeys = keyArray;
-        ctHandle.set(keyArray);
-      }
-    });
-
-    return {
-      suspend: function suspend() {
-        ctHandle.clear();
-      },
-      resume: function resume() {
-        if (lastKnownKeys) ctHandle.set(lastKnownKeys);
-      }
-    };
-  }
-});
-
-}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
-
-},{"./filter":2,"./input":6,"./util":11}],9:[function(require,module,exports){
-(function (global){
-"use strict";
-
-var _slicedToArray = function () { function sliceIterator(arr, i) { var _arr = []; var _n = true; var _d = false; var _e = undefined; try { for (var _i = arr[Symbol.iterator](), _s; !(_n = (_s = _i.next()).done); _n = true) { _arr.push(_s.value); if (i && _arr.length === i) break; } } catch (err) { _d = true; _e = err; } finally { try { if (!_n && _i["return"]) _i["return"](); } finally { if (_d) throw _e; } } return _arr; } return function (arr, i) { if (Array.isArray(arr)) { return arr; } else if (Symbol.iterator in Object(arr)) { return sliceIterator(arr, i); } else { throw new TypeError("Invalid attempt to destructure non-iterable instance"); } }; }();
-
-var _input = require("./input");
-
-var input = _interopRequireWildcard(_input);
-
-var _filter = require("./filter");
-
-function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
-
-var $ = global.jQuery;
-var strftime = global.strftime;
-
-input.register({
-  className: "crosstalk-input-slider",
-
-  factory: function factory(el, data) {
-    /*
-     * map: {"groupA": ["keyA", "keyB", ...], ...}
-     * group: "ct-groupname"
-     */
-    var ctHandle = new _filter.FilterHandle(data.group);
-
-    var opts = {};
-    var $el = $(el).find("input");
-    var dataType = $el.data("data-type");
-    var timeFormat = $el.data("time-format");
-    var round = $el.data("round");
-    var timeFormatter = void 0;
-
-    // Set up formatting functions
-    if (dataType === "date") {
-      timeFormatter = strftime.utc();
-      opts.prettify = function (num) {
-        return timeFormatter(timeFormat, new Date(num));
-      };
-    } else if (dataType === "datetime") {
-      var timezone = $el.data("timezone");
-      if (timezone) timeFormatter = strftime.timezone(timezone);else timeFormatter = strftime;
-
-      opts.prettify = function (num) {
-        return timeFormatter(timeFormat, new Date(num));
-      };
-    } else if (dataType === "number") {
-      if (typeof round !== "undefined") opts.prettify = function (num) {
-        var factor = Math.pow(10, round);
-        return Math.round(num * factor) / factor;
-      };
-    }
-
-    $el.ionRangeSlider(opts);
-
-    function getValue() {
-      var result = $el.data("ionRangeSlider").result;
-
-      // Function for converting numeric value from slider to appropriate type.
-      var convert = void 0;
-      var dataType = $el.data("data-type");
-      if (dataType === "date") {
-        convert = function convert(val) {
-          return formatDateUTC(new Date(+val));
-        };
-      } else if (dataType === "datetime") {
-        convert = function convert(val) {
-          // Convert ms to s
-          return +val / 1000;
-        };
-      } else {
-        convert = function convert(val) {
-          return +val;
-        };
-      }
-
-      if ($el.data("ionRangeSlider").options.type === "double") {
-        return [convert(result.from), convert(result.to)];
-      } else {
-        return convert(result.from);
-      }
-    }
-
-    var lastKnownKeys = null;
-
-    $el.on("change.crosstalkSliderInput", function (event) {
-      if (!$el.data("updating") && !$el.data("animating")) {
-        var _getValue = getValue(),
-            _getValue2 = _slicedToArray(_getValue, 2),
-            from = _getValue2[0],
-            to = _getValue2[1];
-
-        var keys = [];
-        for (var i = 0; i < data.values.length; i++) {
-          var val = data.values[i];
-          if (val >= from && val <= to) {
-            keys.push(data.keys[i]);
-          }
-        }
-        keys.sort();
-        ctHandle.set(keys);
-        lastKnownKeys = keys;
-      }
-    });
-
-    // let $el = $(el);
-    // $el.on("change", "input[type="checkbox"]", function() {
-    //   let checked = $el.find("input[type="checkbox"]:checked");
-    //   if (checked.length === 0) {
-    //     ctHandle.clear();
-    //   } else {
-    //     let keys = {};
-    //     checked.each(function() {
-    //       data.map[this.value].forEach(function(key) {
-    //         keys[key] = true;
-    //       });
-    //     });
-    //     let keyArray = Object.keys(keys);
-    //     keyArray.sort();
-    //     ctHandle.set(keyArray);
-    //   }
-    // });
-
-    return {
-      suspend: function suspend() {
-        ctHandle.clear();
-      },
-      resume: function resume() {
-        if (lastKnownKeys) ctHandle.set(lastKnownKeys);
-      }
-    };
-  }
-});
-
-// Convert a number to a string with leading zeros
-function padZeros(n, digits) {
-  var str = n.toString();
-  while (str.length < digits) {
-    str = "0" + str;
-  }return str;
-}
-
-// Given a Date object, return a string in yyyy-mm-dd format, using the
-// UTC date. This may be a day off from the date in the local time zone.
-function formatDateUTC(date) {
-  if (date instanceof Date) {
-    return date.getUTCFullYear() + "-" + padZeros(date.getUTCMonth() + 1, 2) + "-" + padZeros(date.getUTCDate(), 2);
-  } else {
-    return null;
-  }
-}
-
-}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
-
-},{"./filter":2,"./input":6}],10:[function(require,module,exports){
-"use strict";
-
-Object.defineProperty(exports, "__esModule", {
-  value: true
-});
-exports.SelectionHandle = undefined;
-
-var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }();
-
-var _events = require("./events");
-
-var _events2 = _interopRequireDefault(_events);
-
-var _group = require("./group");
-
-var _group2 = _interopRequireDefault(_group);
-
-var _util = require("./util");
-
-var util = _interopRequireWildcard(_util);
-
-function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
-
-function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }
-
-function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
-
-/**
- * Use this class to read and write (and listen for changes to) the selection
- * for a Crosstalk group. This is intended to be used for linked brushing.
- *
- * If two (or more) `SelectionHandle` instances in the same webpage share the
- * same group name, they will share the same state. Setting the selection using
- * one `SelectionHandle` instance will result in the `value` property instantly
- * changing across the others, and `"change"` event listeners on all instances
- * (including the one that initiated the sending) will fire.
- *
- * @param {string} [group] - The name of the Crosstalk group, or if none,
- *   null or undefined (or any other falsy value). This can be changed later
- *   via the [SelectionHandle#setGroup](#setGroup) method.
- * @param {Object} [extraInfo] - An object whose properties will be copied to
- *   the event object whenever an event is emitted.
- */
-var SelectionHandle = exports.SelectionHandle = function () {
-  function SelectionHandle() {
-    var group = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : null;
-    var extraInfo = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : null;
-
-    _classCallCheck(this, SelectionHandle);
-
-    this._eventRelay = new _events2.default();
-    this._emitter = new util.SubscriptionTracker(this._eventRelay);
-
-    // Name of the group we're currently tracking, if any. Can change over time.
-    this._group = null;
-    // The Var we're currently tracking, if any. Can change over time.
-    this._var = null;
-    // The event handler subscription we currently have on var.on("change").
-    this._varOnChangeSub = null;
-
-    this._extraInfo = util.extend({ sender: this }, extraInfo);
-
-    this.setGroup(group);
-  }
-
-  /**
-   * Changes the Crosstalk group membership of this SelectionHandle. The group
-   * being switched away from (if any) will not have its selection value
-   * modified as a result of calling `setGroup`, even if this handle was the
-   * most recent handle to set the selection of the group.
-   *
-   * The group being switched to (if any) will also not have its selection value
-   * modified as a result of calling `setGroup`. If you want to set the
-   * selection value of the new group, call `set` explicitly.
-   *
-   * @param {string} group - The name of the Crosstalk group, or null (or
-   *   undefined) to clear the group.
-   */
-
-
-  _createClass(SelectionHandle, [{
-    key: "setGroup",
-    value: function setGroup(group) {
-      var _this = this;
-
-      // If group is unchanged, do nothing
-      if (this._group === group) return;
-      // Treat null, undefined, and other falsy values the same
-      if (!this._group && !group) return;
-
-      if (this._var) {
-        this._var.off("change", this._varOnChangeSub);
-        this._var = null;
-        this._varOnChangeSub = null;
-      }
-
-      this._group = group;
-
-      if (group) {
-        this._var = (0, _group2.default)(group).var("selection");
-        var sub = this._var.on("change", function (e) {
-          _this._eventRelay.trigger("change", e, _this);
-        });
-        this._varOnChangeSub = sub;
-      }
-    }
-
-    /**
-     * Retrieves the current selection for the group represented by this
-     * `SelectionHandle`.
-     *
-     * - If no selection is active, then this value will be falsy.
-     * - If a selection is active, but no data points are selected, then this
-     *   value will be an empty array.
-     * - If a selection is active, and data points are selected, then the keys
-     *   of the selected data points will be present in the array.
-     */
-
-  }, {
-    key: "_mergeExtraInfo",
-
-
-    /**
-     * Combines the given `extraInfo` (if any) with the handle's default
-     * `_extraInfo` (if any).
-     * @private
-     */
-    value: function _mergeExtraInfo(extraInfo) {
-      // Important incidental effect: shallow clone is returned
-      return util.extend({}, this._extraInfo ? this._extraInfo : null, extraInfo ? extraInfo : null);
-    }
-
-    /**
-     * Overwrites the current selection for the group, and raises the `"change"`
-     * event among all of the group's '`SelectionHandle` instances (including
-     * this one).
-     *
-     * @fires SelectionHandle#change
-     * @param {string[]} selectedKeys - Falsy, empty array, or array of keys (see
-     *   {@link SelectionHandle#value}).
-     * @param {Object} [extraInfo] - Extra properties to be included on the event
-     *   object that's passed to listeners (in addition to any options that were
-     *   passed into the `SelectionHandle` constructor).
-     */
-
-  }, {
-    key: "set",
-    value: function set(selectedKeys, extraInfo) {
-      if (this._var) this._var.set(selectedKeys, this._mergeExtraInfo(extraInfo));
-    }
-
-    /**
-     * Overwrites the current selection for the group, and raises the `"change"`
-     * event among all of the group's '`SelectionHandle` instances (including
-     * this one).
-     *
-     * @fires SelectionHandle#change
-     * @param {Object} [extraInfo] - Extra properties to be included on the event
-     *   object that's passed to listeners (in addition to any that were passed
-     *   into the `SelectionHandle` constructor).
-     */
-
-  }, {
-    key: "clear",
-    value: function clear(extraInfo) {
-      if (this._var) this.set(void 0, this._mergeExtraInfo(extraInfo));
-    }
-
-    /**
-     * Subscribes to events on this `SelectionHandle`.
-     *
-     * @param {string} eventType - Indicates the type of events to listen to.
-     *   Currently, only `"change"` is supported.
-     * @param {SelectionHandle~listener} listener - The callback function that
-     *   will be invoked when the event occurs.
-     * @return {string} - A token to pass to {@link SelectionHandle#off} to cancel
-     *   this subscription.
-     */
-
-  }, {
-    key: "on",
-    value: function on(eventType, listener) {
-      return this._emitter.on(eventType, listener);
-    }
-
-    /**
-     * Cancels event subscriptions created by {@link SelectionHandle#on}.
-     *
-     * @param {string} eventType - The type of event to unsubscribe.
-     * @param {string|SelectionHandle~listener} listener - Either the callback
-     *   function previously passed into {@link SelectionHandle#on}, or the
-     *   string that was returned from {@link SelectionHandle#on}.
-     */
-
-  }, {
-    key: "off",
-    value: function off(eventType, listener) {
-      return this._emitter.off(eventType, listener);
-    }
-
-    /**
-     * Shuts down the `SelectionHandle` object.
-     *
-     * Removes all event listeners that were added through this handle.
-     */
-
-  }, {
-    key: "close",
-    value: function close() {
-      this._emitter.removeAllListeners();
-      this.setGroup(null);
-    }
-  }, {
-    key: "value",
-    get: function get() {
-      return this._var ? this._var.get() : null;
-    }
-  }]);
-
-  return SelectionHandle;
-}();
-
-/**
- * @callback SelectionHandle~listener
- * @param {Object} event - An object containing details of the event. For
- *   `"change"` events, this includes the properties `value` (the new
- *   value of the selection, or `undefined` if no selection is active),
- *   `oldValue` (the previous value of the selection), and `sender` (the
- *   `SelectionHandle` instance that made the change).
- */
-
-/**
- * @event SelectionHandle#change
- * @type {object}
- * @property {object} value - The new value of the selection, or `undefined`
- *   if no selection is active.
- * @property {object} oldValue - The previous value of the selection.
- * @property {SelectionHandle} sender - The `SelectionHandle` instance that
- *   changed the value.
- */
-
-},{"./events":1,"./group":4,"./util":11}],11:[function(require,module,exports){
-"use strict";
-
-Object.defineProperty(exports, "__esModule", {
-  value: true
-});
-
-var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }();
-
-var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; };
-
-exports.extend = extend;
-exports.checkSorted = checkSorted;
-exports.diffSortedLists = diffSortedLists;
-exports.dataframeToD3 = dataframeToD3;
-
-function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
-
-function extend(target) {
-  for (var _len = arguments.length, sources = Array(_len > 1 ? _len - 1 : 0), _key = 1; _key < _len; _key++) {
-    sources[_key - 1] = arguments[_key];
-  }
-
-  for (var i = 0; i < sources.length; i++) {
-    var src = sources[i];
-    if (typeof src === "undefined" || src === null) continue;
-
-    for (var key in src) {
-      if (src.hasOwnProperty(key)) {
-        target[key] = src[key];
-      }
-    }
-  }
-  return target;
-}
-
-function checkSorted(list) {
-  for (var i = 1; i < list.length; i++) {
-    if (list[i] <= list[i - 1]) {
-      throw new Error("List is not sorted or contains duplicate");
-    }
-  }
-}
-
-function diffSortedLists(a, b) {
-  var i_a = 0;
-  var i_b = 0;
-
-  if (!a) a = [];
-  if (!b) b = [];
-
-  var a_only = [];
-  var b_only = [];
-
-  checkSorted(a);
-  checkSorted(b);
-
-  while (i_a < a.length && i_b < b.length) {
-    if (a[i_a] === b[i_b]) {
-      i_a++;
-      i_b++;
-    } else if (a[i_a] < b[i_b]) {
-      a_only.push(a[i_a++]);
-    } else {
-      b_only.push(b[i_b++]);
-    }
-  }
-
-  if (i_a < a.length) a_only = a_only.concat(a.slice(i_a));
-  if (i_b < b.length) b_only = b_only.concat(b.slice(i_b));
-  return {
-    removed: a_only,
-    added: b_only
-  };
-}
-
-// Convert from wide: { colA: [1,2,3], colB: [4,5,6], ... }
-// to long: [ {colA: 1, colB: 4}, {colA: 2, colB: 5}, ... ]
-function dataframeToD3(df) {
-  var names = [];
-  var length = void 0;
-  for (var name in df) {
-    if (df.hasOwnProperty(name)) names.push(name);
-    if (_typeof(df[name]) !== "object" || typeof df[name].length === "undefined") {
-      throw new Error("All fields must be arrays");
-    } else if (typeof length !== "undefined" && length !== df[name].length) {
-      throw new Error("All fields must be arrays of the same length");
-    }
-    length = df[name].length;
-  }
-  var results = [];
-  var item = void 0;
-  for (var row = 0; row < length; row++) {
-    item = {};
-    for (var col = 0; col < names.length; col++) {
-      item[names[col]] = df[names[col]][row];
-    }
-    results.push(item);
-  }
-  return results;
-}
-
-/**
- * Keeps track of all event listener additions/removals and lets all active
- * listeners be removed with a single operation.
- *
- * @private
- */
-
-var SubscriptionTracker = exports.SubscriptionTracker = function () {
-  function SubscriptionTracker(emitter) {
-    _classCallCheck(this, SubscriptionTracker);
-
-    this._emitter = emitter;
-    this._subs = {};
-  }
-
-  _createClass(SubscriptionTracker, [{
-    key: "on",
-    value: function on(eventType, listener) {
-      var sub = this._emitter.on(eventType, listener);
-      this._subs[sub] = eventType;
-      return sub;
-    }
-  }, {
-    key: "off",
-    value: function off(eventType, listener) {
-      var sub = this._emitter.off(eventType, listener);
-      if (sub) {
-        delete this._subs[sub];
-      }
-      return sub;
-    }
-  }, {
-    key: "removeAllListeners",
-    value: function removeAllListeners() {
-      var _this = this;
-
-      var current_subs = this._subs;
-      this._subs = {};
-      Object.keys(current_subs).forEach(function (sub) {
-        _this._emitter.off(current_subs[sub], sub);
-      });
-    }
-  }]);
-
-  return SubscriptionTracker;
-}();
-
-},{}],12:[function(require,module,exports){
-(function (global){
-"use strict";
-
-Object.defineProperty(exports, "__esModule", {
-  value: true
-});
-
-var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; };
-
-var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }();
-
-var _events = require("./events");
-
-var _events2 = _interopRequireDefault(_events);
-
-function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }
-
-function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
-
-var Var = function () {
-  function Var(group, name, /*optional*/value) {
-    _classCallCheck(this, Var);
-
-    this._group = group;
-    this._name = name;
-    this._value = value;
-    this._events = new _events2.default();
-  }
-
-  _createClass(Var, [{
-    key: "get",
-    value: function get() {
-      return this._value;
-    }
-  }, {
-    key: "set",
-    value: function set(value, /*optional*/event) {
-      if (this._value === value) {
-        // Do nothing; the value hasn't changed
-        return;
-      }
-      var oldValue = this._value;
-      this._value = value;
-      // Alert JavaScript listeners that the value has changed
-      var evt = {};
-      if (event && (typeof event === "undefined" ? "undefined" : _typeof(event)) === "object") {
-        for (var k in event) {
-          if (event.hasOwnProperty(k)) evt[k] = event[k];
-        }
-      }
-      evt.oldValue = oldValue;
-      evt.value = value;
-      this._events.trigger("change", evt, this);
-
-      // TODO: Make this extensible, to let arbitrary back-ends know that
-      // something has changed
-      if (global.Shiny && global.Shiny.onInputChange) {
-        global.Shiny.onInputChange(".clientValue-" + (this._group.name !== null ? this._group.name + "-" : "") + this._name, typeof value === "undefined" ? null : value);
-      }
-    }
-  }, {
-    key: "on",
-    value: function on(eventType, listener) {
-      return this._events.on(eventType, listener);
-    }
-  }, {
-    key: "off",
-    value: function off(eventType, listener) {
-      return this._events.off(eventType, listener);
-    }
-  }]);
-
-  return Var;
-}();
-
-exports.default = Var;
-
-}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {})
-
-},{"./events":1}]},{},[5])
-//# sourceMappingURL=crosstalk.js.map
diff --git a/latest-tag/coverage-report/lib/crosstalk-1.2.1/js/crosstalk.js.map b/latest-tag/coverage-report/lib/crosstalk-1.2.1/js/crosstalk.js.map
deleted file mode 100644
index cff94f08..00000000
--- a/latest-tag/coverage-report/lib/crosstalk-1.2.1/js/crosstalk.js.map
+++ /dev/null
@@ -1,37 +0,0 @@
-{
-  "version": 3,
-  "sources": [
-    "node_modules/browser-pack/_prelude.js",
-    "javascript/src/events.js",
-    "javascript/src/filter.js",
-    "javascript/src/filterset.js",
-    "javascript/src/group.js",
-    "javascript/src/index.js",
-    "javascript/src/input.js",
-    "javascript/src/input_checkboxgroup.js",
-    "javascript/src/input_selectize.js",
-    "javascript/src/input_slider.js",
-    "javascript/src/selection.js",
-    "javascript/src/util.js",
-    "javascript/src/var.js"
-  ],
-  "names": [],
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-  "file": "generated.js",
-  "sourceRoot": "",
-  "sourcesContent": [
-    "(function(){function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require==\"function\"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error(\"Cannot find module '\"+o+\"'\");throw f.code=\"MODULE_NOT_FOUND\",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require==\"function\"&&require;for(var o=0;o<r.length;o++)s(r[o]);return s}return e})()",
-    "export default class Events {\n  constructor() {\n    this._types = {};\n    this._seq = 0;\n  }\n\n  on(eventType, listener) {\n    let subs = this._types[eventType];\n    if (!subs) {\n      subs = this._types[eventType] = {};\n    }\n    let sub = \"sub\" + (this._seq++);\n    subs[sub] = listener;\n    return sub;\n  }\n\n  // Returns false if no match, or string for sub name if matched\n  off(eventType, listener) {\n    let subs = this._types[eventType];\n    if (typeof(listener) === \"function\") {\n      for (let key in subs) {\n        if (subs.hasOwnProperty(key)) {\n          if (subs[key] === listener) {\n            delete subs[key];\n            return key;\n          }\n        }\n      }\n      return false;\n    } else if (typeof(listener) === \"string\") {\n      if (subs && subs[listener]) {\n        delete subs[listener];\n        return listener;\n      }\n      return false;\n    } else {\n      throw new Error(\"Unexpected type for listener\");\n    }\n  }\n\n  trigger(eventType, arg, thisObj) {\n    let subs = this._types[eventType];\n    for (let key in subs) {\n      if (subs.hasOwnProperty(key)) {\n        subs[key].call(thisObj, arg);\n      }\n    }\n  }\n}\n",
-    "import Events from \"./events\";\nimport FilterSet from \"./filterset\";\nimport grp from \"./group\";\nimport * as util from \"./util\";\n\nfunction getFilterSet(group) {\n  let fsVar = group.var(\"filterset\");\n  let result = fsVar.get();\n  if (!result) {\n    result = new FilterSet();\n    fsVar.set(result);\n  }\n  return result;\n}\n\nlet id = 1;\nfunction nextId() {\n  return id++;\n}\n\n/**\n * Use this class to contribute to, and listen for changes to, the filter set\n * for the given group of widgets. Filter input controls should create one\n * `FilterHandle` and only call {@link FilterHandle#set}. Output widgets that\n * wish to displayed filtered data should create one `FilterHandle` and use\n * the {@link FilterHandle#filteredKeys} property and listen for change\n * events.\n *\n * If two (or more) `FilterHandle` instances in the same webpage share the\n * same group name, they will contribute to a single \"filter set\". Each\n * `FilterHandle` starts out with a `null` value, which means they take\n * nothing away from the set of data that should be shown. To make a\n * `FilterHandle` actually remove data from the filter set, set its value to\n * an array of keys which should be displayed. Crosstalk will aggregate the\n * various key arrays by finding their intersection; only keys that are\n * present in all non-null filter handles are considered part of the filter\n * set.\n *\n * @param {string} [group] - The name of the Crosstalk group, or if none,\n *   null or undefined (or any other falsy value). This can be changed later\n *   via the {@link FilterHandle#setGroup} method.\n * @param {Object} [extraInfo] - An object whose properties will be copied to\n *   the event object whenever an event is emitted.\n */\nexport class FilterHandle {\n  constructor(group, extraInfo) {\n    this._eventRelay = new Events();\n    this._emitter = new util.SubscriptionTracker(this._eventRelay);\n\n    // Name of the group we're currently tracking, if any. Can change over time.\n    this._group = null;\n    // The filterSet that we're tracking, if any. Can change over time.\n    this._filterSet = null;\n    // The Var we're currently tracking, if any. Can change over time.\n    this._filterVar = null;\n    // The event handler subscription we currently have on var.on(\"change\").\n    this._varOnChangeSub = null;\n\n    this._extraInfo = util.extend({ sender: this }, extraInfo);\n\n    this._id = \"filter\" + nextId();\n\n    this.setGroup(group);\n  }\n\n  /**\n   * Changes the Crosstalk group membership of this FilterHandle. If `set()` was\n   * previously called on this handle, switching groups will clear those keys\n   * from the old group's filter set. These keys will not be applied to the new\n   * group's filter set either. In other words, `setGroup()` effectively calls\n   * `clear()` before switching groups.\n   *\n   * @param {string} group - The name of the Crosstalk group, or null (or\n   *   undefined) to clear the group.\n   */\n  setGroup(group) {\n    // If group is unchanged, do nothing\n    if (this._group === group)\n      return;\n    // Treat null, undefined, and other falsy values the same\n    if (!this._group && !group)\n      return;\n\n    if (this._filterVar) {\n      this._filterVar.off(\"change\", this._varOnChangeSub);\n      this.clear();\n      this._varOnChangeSub = null;\n      this._filterVar = null;\n      this._filterSet = null;\n    }\n\n    this._group = group;\n\n    if (group) {\n      group = grp(group);\n      this._filterSet = getFilterSet(group);\n      this._filterVar = grp(group).var(\"filter\");\n      let sub = this._filterVar.on(\"change\", (e) => {\n        this._eventRelay.trigger(\"change\", e, this);\n      });\n      this._varOnChangeSub = sub;\n    }\n  }\n\n  /**\n   * Combine the given `extraInfo` (if any) with the handle's default\n   * `_extraInfo` (if any).\n   * @private\n   */\n  _mergeExtraInfo(extraInfo) {\n    return util.extend({},\n      this._extraInfo ? this._extraInfo : null,\n      extraInfo ? extraInfo : null);\n  }\n\n  /**\n   * Close the handle. This clears this handle's contribution to the filter set,\n   * and unsubscribes all event listeners.\n   */\n  close() {\n    this._emitter.removeAllListeners();\n    this.clear();\n    this.setGroup(null);\n  }\n\n  /**\n   * Clear this handle's contribution to the filter set.\n   *\n   * @param {Object} [extraInfo] - Extra properties to be included on the event\n   *   object that's passed to listeners (in addition to any options that were\n   *   passed into the `FilterHandle` constructor).\n   * \n   * @fires FilterHandle#change\n   */\n  clear(extraInfo) {\n    if (!this._filterSet)\n      return;\n    this._filterSet.clear(this._id);\n    this._onChange(extraInfo);\n  }\n\n  /**\n   * Set this handle's contribution to the filter set. This array should consist\n   * of the keys of the rows that _should_ be displayed; any keys that are not\n   * present in the array will be considered _filtered out_. Note that multiple\n   * `FilterHandle` instances in the group may each contribute an array of keys,\n   * and only those keys that appear in _all_ of the arrays make it through the\n   * filter.\n   *\n   * @param {string[]} keys - Empty array, or array of keys. To clear the\n   *   filter, don't pass an empty array; instead, use the\n   *   {@link FilterHandle#clear} method.\n   * @param {Object} [extraInfo] - Extra properties to be included on the event\n   *   object that's passed to listeners (in addition to any options that were\n   *   passed into the `FilterHandle` constructor).\n   * \n   * @fires FilterHandle#change\n   */\n  set(keys, extraInfo) {\n    if (!this._filterSet)\n      return;\n    this._filterSet.update(this._id, keys);\n    this._onChange(extraInfo);\n  }\n\n  /**\n   * @return {string[]|null} - Either: 1) an array of keys that made it through\n   *   all of the `FilterHandle` instances, or, 2) `null`, which means no filter\n   *   is being applied (all data should be displayed).\n   */\n  get filteredKeys() {\n    return this._filterSet ? this._filterSet.value : null;\n  }\n\n  /**\n   * Subscribe to events on this `FilterHandle`.\n   *\n   * @param {string} eventType - Indicates the type of events to listen to.\n   *   Currently, only `\"change\"` is supported.\n   * @param {FilterHandle~listener} listener - The callback function that\n   *   will be invoked when the event occurs.\n   * @return {string} - A token to pass to {@link FilterHandle#off} to cancel\n   *   this subscription.\n   */\n  on(eventType, listener) {\n    return this._emitter.on(eventType, listener);\n  }\n\n  /**\n   * Cancel event subscriptions created by {@link FilterHandle#on}.\n   *\n   * @param {string} eventType - The type of event to unsubscribe.\n   * @param {string|FilterHandle~listener} listener - Either the callback\n   *   function previously passed into {@link FilterHandle#on}, or the\n   *   string that was returned from {@link FilterHandle#on}.\n   */\n  off(eventType, listener) {\n    return this._emitter.off(eventType, listener);\n  }\n\n  _onChange(extraInfo) {\n    if (!this._filterSet)\n      return;\n    this._filterVar.set(this._filterSet.value, this._mergeExtraInfo(extraInfo));\n  }\n\n  /**\n   * @callback FilterHandle~listener\n   * @param {Object} event - An object containing details of the event. For\n   *   `\"change\"` events, this includes the properties `value` (the new\n   *   value of the filter set, or `null` if no filter set is active),\n   *   `oldValue` (the previous value of the filter set), and `sender` (the\n   *   `FilterHandle` instance that made the change).\n   */\n\n}\n\n/**\n * @event FilterHandle#change\n * @type {object}\n * @property {object} value - The new value of the filter set, or `null`\n *   if no filter set is active.\n * @property {object} oldValue - The previous value of the filter set.\n * @property {FilterHandle} sender - The `FilterHandle` instance that\n *   changed the value.\n */\n",
-    "import { diffSortedLists } from \"./util\";\n\nfunction naturalComparator(a, b) {\n  if (a === b) {\n    return 0;\n  } else if (a < b) {\n    return -1;\n  } else if (a > b) {\n    return 1;\n  }\n}\n\n/**\n * @private\n */\nexport default class FilterSet {\n  constructor() {\n    this.reset();\n  }\n\n  reset() {\n    // Key: handle ID, Value: array of selected keys, or null\n    this._handles = {};\n    // Key: key string, Value: count of handles that include it\n    this._keys = {};\n    this._value = null;\n    this._activeHandles = 0;\n  }\n\n  get value() {\n    return this._value;\n  }\n\n  update(handleId, keys) {\n    if (keys !== null) {\n      keys = keys.slice(0); // clone before sorting\n      keys.sort(naturalComparator);\n    }\n\n    let {added, removed} = diffSortedLists(this._handles[handleId], keys);\n    this._handles[handleId] = keys;\n\n    for (let i = 0; i < added.length; i++) {\n      this._keys[added[i]] = (this._keys[added[i]] || 0) + 1;\n    }\n    for (let i = 0; i < removed.length; i++) {\n      this._keys[removed[i]]--;\n    }\n\n    this._updateValue(keys);\n  }\n\n  /**\n   * @param {string[]} keys Sorted array of strings that indicate\n   * a superset of possible keys.\n   * @private\n   */\n  _updateValue(keys = this._allKeys) {\n    let handleCount = Object.keys(this._handles).length;\n    if (handleCount === 0) {\n      this._value = null;\n    } else {\n      this._value = [];\n      for (let i = 0; i < keys.length; i++) {\n        let count = this._keys[keys[i]];\n        if (count === handleCount) {\n          this._value.push(keys[i]);\n        }\n      }\n    }\n  }\n\n  clear(handleId) {\n    if (typeof(this._handles[handleId]) === \"undefined\") {\n      return;\n    }\n\n    let keys = this._handles[handleId];\n    if (!keys) {\n      keys = [];\n    }\n\n    for (let i = 0; i < keys.length; i++) {\n      this._keys[keys[i]]--;\n    }\n    delete this._handles[handleId];\n\n    this._updateValue();\n  }\n\n  get _allKeys() {\n    let allKeys = Object.keys(this._keys);\n    allKeys.sort(naturalComparator);\n    return allKeys;\n  }\n}\n",
-    "import Var from \"./var\";\n\n// Use a global so that multiple copies of crosstalk.js can be loaded and still\n// have groups behave as singletons across all copies.\nglobal.__crosstalk_groups = global.__crosstalk_groups || {};\nlet groups = global.__crosstalk_groups;\n\nexport default function group(groupName) {\n  if (groupName && typeof(groupName) === \"string\") {\n    if (!groups.hasOwnProperty(groupName)) {\n      groups[groupName] = new Group(groupName);\n    }\n    return groups[groupName];\n  } else if (typeof(groupName) === \"object\" && groupName._vars && groupName.var) {\n    // Appears to already be a group object\n    return groupName;\n  } else if (Array.isArray(groupName) &&\n      groupName.length == 1 &&\n      typeof(groupName[0]) === \"string\") {\n    return group(groupName[0]);\n  } else {\n    throw new Error(\"Invalid groupName argument\");\n  }\n}\n\nclass Group {\n  constructor(name) {\n    this.name = name;\n    this._vars = {};\n  }\n\n  var(name) {\n    if (!name || typeof(name) !== \"string\") {\n      throw new Error(\"Invalid var name\");\n    }\n\n    if (!this._vars.hasOwnProperty(name))\n      this._vars[name] = new Var(this, name);\n    return this._vars[name];\n  }\n\n  has(name) {\n    if (!name || typeof(name) !== \"string\") {\n      throw new Error(\"Invalid var name\");\n    }\n\n    return this._vars.hasOwnProperty(name);\n  }\n}\n",
-    "import group from \"./group\";\nimport { SelectionHandle } from \"./selection\";\nimport { FilterHandle } from \"./filter\";\nimport { bind } from \"./input\";\nimport \"./input_selectize\";\nimport \"./input_checkboxgroup\";\nimport \"./input_slider\";\n\nconst defaultGroup = group(\"default\");\n\nfunction var_(name) {\n  return defaultGroup.var(name);\n}\n\nfunction has(name) {\n  return defaultGroup.has(name);\n}\n\nif (global.Shiny) {\n  global.Shiny.addCustomMessageHandler(\"update-client-value\", function(message) {\n    if (typeof(message.group) === \"string\") {\n      group(message.group).var(message.name).set(message.value);\n    } else {\n      var_(message.name).set(message.value);\n    }\n  });\n}\n\nconst crosstalk = {\n  group: group,\n  var: var_,\n  has: has,\n  SelectionHandle: SelectionHandle,\n  FilterHandle: FilterHandle,\n  bind: bind\n};\n\n/**\n * @namespace crosstalk\n */\nexport default crosstalk;\nglobal.crosstalk = crosstalk;\n",
-    "let $ = global.jQuery;\n\nlet bindings = {};\n\nexport function register(reg) {\n  bindings[reg.className] = reg;\n  if (global.document && global.document.readyState !== \"complete\") {\n    $(() => {\n      bind();\n    });\n  } else if (global.document) {\n    setTimeout(bind, 100);\n  }\n}\n\nexport function bind() {\n  Object.keys(bindings).forEach(function(className) {\n    let binding = bindings[className];\n    $(\".\" + binding.className).not(\".crosstalk-input-bound\").each(function(i, el) {\n      bindInstance(binding, el);\n    });\n  });\n}\n\n// Escape jQuery identifier\nfunction $escape(val) {\n  return val.replace(/([!\"#$%&'()*+,./:;<=>?@[\\\\\\]^`{|}~])/g, \"\\\\$1\");\n}\n\nfunction bindEl(el) {\n  let $el = $(el);\n  Object.keys(bindings).forEach(function(className) {\n    if ($el.hasClass(className) && !$el.hasClass(\"crosstalk-input-bound\")) {\n      let binding = bindings[className];\n      bindInstance(binding, el);\n    }\n  });\n}\n\nfunction bindInstance(binding, el) {\n  let jsonEl = $(el).find(\"script[type='application/json'][data-for='\" + $escape(el.id) + \"']\");\n  let data = JSON.parse(jsonEl[0].innerText);\n\n  let instance = binding.factory(el, data);\n  $(el).data(\"crosstalk-instance\", instance);\n  $(el).addClass(\"crosstalk-input-bound\");\n}\n\nif (global.Shiny) {\n  let inputBinding = new global.Shiny.InputBinding();\n  let $ = global.jQuery;\n  $.extend(inputBinding, {\n    find: function(scope) {\n      return $(scope).find(\".crosstalk-input\");\n    },\n    initialize: function(el) {\n      if (!$(el).hasClass(\"crosstalk-input-bound\")) {\n        bindEl(el);\n      }\n    },\n    getId: function(el) {\n      return el.id;\n    },\n    getValue: function(el) {\n\n    },\n    setValue: function(el, value) {\n\n    },\n    receiveMessage: function(el, data) {\n\n    },\n    subscribe: function(el, callback) {\n      $(el).data(\"crosstalk-instance\").resume();\n    },\n    unsubscribe: function(el) {\n      $(el).data(\"crosstalk-instance\").suspend();\n    }\n  });\n  global.Shiny.inputBindings.register(inputBinding, \"crosstalk.inputBinding\");\n}\n",
-    "import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n  className: \"crosstalk-input-checkboxgroup\",\n\n  factory: function(el, data) {\n    /*\n     * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n     * group: \"ct-groupname\"\n     */\n    let ctHandle = new FilterHandle(data.group);\n\n    let lastKnownKeys;\n    let $el = $(el);\n    $el.on(\"change\", \"input[type='checkbox']\", function() {\n      let checked = $el.find(\"input[type='checkbox']:checked\");\n      if (checked.length === 0) {\n        lastKnownKeys = null;\n        ctHandle.clear();\n      } else {\n        let keys = {};\n        checked.each(function() {\n          data.map[this.value].forEach(function(key) {\n            keys[key] = true;\n          });\n        });\n        let keyArray = Object.keys(keys);\n        keyArray.sort();\n        lastKnownKeys = keyArray;\n        ctHandle.set(keyArray);\n      }\n    });\n\n    return {\n      suspend: function() {\n        ctHandle.clear();\n      },\n      resume: function() {\n        if (lastKnownKeys)\n          ctHandle.set(lastKnownKeys);\n      }\n    };\n  }\n});\n",
-    "import * as input from \"./input\";\nimport * as util from \"./util\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n  className: \"crosstalk-input-select\",\n\n  factory: function(el, data) {\n    /*\n     * items: {value: [...], label: [...]}\n     * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n     * group: \"ct-groupname\"\n     */\n\n    let first = [{value: \"\", label: \"(All)\"}];\n    let items = util.dataframeToD3(data.items);\n    let opts = {\n      options: first.concat(items),\n      valueField: \"value\",\n      labelField: \"label\",\n      searchField: \"label\"\n    };\n\n    let select = $(el).find(\"select\")[0];\n\n    let selectize = $(select).selectize(opts)[0].selectize;\n\n    let ctHandle = new FilterHandle(data.group);\n\n    let lastKnownKeys;\n    selectize.on(\"change\", function() {\n      if (selectize.items.length === 0) {\n        lastKnownKeys = null;\n        ctHandle.clear();\n      } else {\n        let keys = {};\n        selectize.items.forEach(function(group) {\n          data.map[group].forEach(function(key) {\n            keys[key] = true;\n          });\n        });\n        let keyArray = Object.keys(keys);\n        keyArray.sort();\n        lastKnownKeys = keyArray;\n        ctHandle.set(keyArray);\n      }\n    });\n\n    return {\n      suspend: function() {\n        ctHandle.clear();\n      },\n      resume: function() {\n        if (lastKnownKeys)\n          ctHandle.set(lastKnownKeys);\n      }\n    };\n  }\n});\n",
-    "import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\nlet strftime = global.strftime;\n\ninput.register({\n  className: \"crosstalk-input-slider\",\n\n  factory: function(el, data) {\n    /*\n     * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n     * group: \"ct-groupname\"\n     */\n    let ctHandle = new FilterHandle(data.group);\n\n    let opts = {};\n    let $el = $(el).find(\"input\");\n    let dataType = $el.data(\"data-type\");\n    let timeFormat = $el.data(\"time-format\");\n    let round = $el.data(\"round\");\n    let timeFormatter;\n\n    // Set up formatting functions\n    if (dataType === \"date\") {\n      timeFormatter = strftime.utc();\n      opts.prettify = function(num) {\n        return timeFormatter(timeFormat, new Date(num));\n      };\n\n    } else if (dataType === \"datetime\") {\n      let timezone = $el.data(\"timezone\");\n      if (timezone)\n        timeFormatter = strftime.timezone(timezone);\n      else\n        timeFormatter = strftime;\n\n      opts.prettify = function(num) {\n        return timeFormatter(timeFormat, new Date(num));\n      };\n    } else if (dataType === \"number\") {\n      if (typeof round !== \"undefined\")\n        opts.prettify = function(num) {\n          let factor = Math.pow(10, round);\n          return Math.round(num * factor) / factor;\n        };\n    }\n\n    $el.ionRangeSlider(opts);\n\n    function getValue() {\n      let result = $el.data(\"ionRangeSlider\").result;\n\n      // Function for converting numeric value from slider to appropriate type.\n      let convert;\n      let dataType = $el.data(\"data-type\");\n      if (dataType === \"date\") {\n        convert = function(val) {\n          return formatDateUTC(new Date(+val));\n        };\n      } else if (dataType === \"datetime\") {\n        convert = function(val) {\n          // Convert ms to s\n          return +val / 1000;\n        };\n      } else {\n        convert = function(val) { return +val; };\n      }\n\n      if ($el.data(\"ionRangeSlider\").options.type === \"double\") {\n        return [convert(result.from), convert(result.to)];\n      } else {\n        return convert(result.from);\n      }\n    }\n\n    let lastKnownKeys = null;\n\n    $el.on(\"change.crosstalkSliderInput\", function(event) {\n      if (!$el.data(\"updating\") && !$el.data(\"animating\")) {\n        let [from, to] = getValue();\n        let keys = [];\n        for (let i = 0; i < data.values.length; i++) {\n          let val = data.values[i];\n          if (val >= from && val <= to) {\n            keys.push(data.keys[i]);\n          }\n        }\n        keys.sort();\n        ctHandle.set(keys);\n        lastKnownKeys = keys;\n      }\n    });\n\n\n    // let $el = $(el);\n    // $el.on(\"change\", \"input[type=\"checkbox\"]\", function() {\n    //   let checked = $el.find(\"input[type=\"checkbox\"]:checked\");\n    //   if (checked.length === 0) {\n    //     ctHandle.clear();\n    //   } else {\n    //     let keys = {};\n    //     checked.each(function() {\n    //       data.map[this.value].forEach(function(key) {\n    //         keys[key] = true;\n    //       });\n    //     });\n    //     let keyArray = Object.keys(keys);\n    //     keyArray.sort();\n    //     ctHandle.set(keyArray);\n    //   }\n    // });\n\n    return {\n      suspend: function() {\n        ctHandle.clear();\n      },\n      resume: function() {\n        if (lastKnownKeys)\n          ctHandle.set(lastKnownKeys);\n      }\n    };\n  }\n});\n\n\n// Convert a number to a string with leading zeros\nfunction padZeros(n, digits) {\n  let str = n.toString();\n  while (str.length < digits)\n    str = \"0\" + str;\n  return str;\n}\n\n// Given a Date object, return a string in yyyy-mm-dd format, using the\n// UTC date. This may be a day off from the date in the local time zone.\nfunction formatDateUTC(date) {\n  if (date instanceof Date) {\n    return date.getUTCFullYear() + \"-\" +\n           padZeros(date.getUTCMonth()+1, 2) + \"-\" +\n           padZeros(date.getUTCDate(), 2);\n\n  } else {\n    return null;\n  }\n}\n",
-    "import Events from \"./events\";\nimport grp from \"./group\";\nimport * as util from \"./util\";\n\n/**\n * Use this class to read and write (and listen for changes to) the selection\n * for a Crosstalk group. This is intended to be used for linked brushing.\n *\n * If two (or more) `SelectionHandle` instances in the same webpage share the\n * same group name, they will share the same state. Setting the selection using\n * one `SelectionHandle` instance will result in the `value` property instantly\n * changing across the others, and `\"change\"` event listeners on all instances\n * (including the one that initiated the sending) will fire.\n *\n * @param {string} [group] - The name of the Crosstalk group, or if none,\n *   null or undefined (or any other falsy value). This can be changed later\n *   via the [SelectionHandle#setGroup](#setGroup) method.\n * @param {Object} [extraInfo] - An object whose properties will be copied to\n *   the event object whenever an event is emitted.\n */\nexport class SelectionHandle {\n\n  constructor(group = null, extraInfo = null) {\n    this._eventRelay = new Events();\n    this._emitter = new util.SubscriptionTracker(this._eventRelay);\n\n    // Name of the group we're currently tracking, if any. Can change over time.\n    this._group = null;\n    // The Var we're currently tracking, if any. Can change over time.\n    this._var = null;\n    // The event handler subscription we currently have on var.on(\"change\").\n    this._varOnChangeSub = null;\n\n    this._extraInfo = util.extend({ sender: this }, extraInfo);\n\n    this.setGroup(group);\n  }\n\n  /**\n   * Changes the Crosstalk group membership of this SelectionHandle. The group\n   * being switched away from (if any) will not have its selection value\n   * modified as a result of calling `setGroup`, even if this handle was the\n   * most recent handle to set the selection of the group.\n   *\n   * The group being switched to (if any) will also not have its selection value\n   * modified as a result of calling `setGroup`. If you want to set the\n   * selection value of the new group, call `set` explicitly.\n   *\n   * @param {string} group - The name of the Crosstalk group, or null (or\n   *   undefined) to clear the group.\n   */\n  setGroup(group) {\n    // If group is unchanged, do nothing\n    if (this._group === group)\n      return;\n    // Treat null, undefined, and other falsy values the same\n    if (!this._group && !group)\n      return;\n\n    if (this._var) {\n      this._var.off(\"change\", this._varOnChangeSub);\n      this._var = null;\n      this._varOnChangeSub = null;\n    }\n\n    this._group = group;\n\n    if (group) {\n      this._var = grp(group).var(\"selection\");\n      let sub = this._var.on(\"change\", (e) => {\n        this._eventRelay.trigger(\"change\", e, this);\n      });\n      this._varOnChangeSub = sub;\n    }\n  }\n\n  /**\n   * Retrieves the current selection for the group represented by this\n   * `SelectionHandle`.\n   *\n   * - If no selection is active, then this value will be falsy.\n   * - If a selection is active, but no data points are selected, then this\n   *   value will be an empty array.\n   * - If a selection is active, and data points are selected, then the keys\n   *   of the selected data points will be present in the array.\n   */\n  get value() {\n    return this._var ? this._var.get() : null;\n  }\n\n  /**\n   * Combines the given `extraInfo` (if any) with the handle's default\n   * `_extraInfo` (if any).\n   * @private\n   */\n  _mergeExtraInfo(extraInfo) {\n    // Important incidental effect: shallow clone is returned\n    return util.extend({},\n      this._extraInfo ? this._extraInfo : null,\n      extraInfo ? extraInfo : null);\n  }\n\n  /**\n   * Overwrites the current selection for the group, and raises the `\"change\"`\n   * event among all of the group's '`SelectionHandle` instances (including\n   * this one).\n   *\n   * @fires SelectionHandle#change\n   * @param {string[]} selectedKeys - Falsy, empty array, or array of keys (see\n   *   {@link SelectionHandle#value}).\n   * @param {Object} [extraInfo] - Extra properties to be included on the event\n   *   object that's passed to listeners (in addition to any options that were\n   *   passed into the `SelectionHandle` constructor).\n   */\n  set(selectedKeys, extraInfo) {\n    if (this._var)\n      this._var.set(selectedKeys, this._mergeExtraInfo(extraInfo));\n  }\n\n  /**\n   * Overwrites the current selection for the group, and raises the `\"change\"`\n   * event among all of the group's '`SelectionHandle` instances (including\n   * this one).\n   *\n   * @fires SelectionHandle#change\n   * @param {Object} [extraInfo] - Extra properties to be included on the event\n   *   object that's passed to listeners (in addition to any that were passed\n   *   into the `SelectionHandle` constructor).\n   */\n  clear(extraInfo) {\n    if (this._var)\n      this.set(void 0, this._mergeExtraInfo(extraInfo));\n  }\n\n  /**\n   * Subscribes to events on this `SelectionHandle`.\n   *\n   * @param {string} eventType - Indicates the type of events to listen to.\n   *   Currently, only `\"change\"` is supported.\n   * @param {SelectionHandle~listener} listener - The callback function that\n   *   will be invoked when the event occurs.\n   * @return {string} - A token to pass to {@link SelectionHandle#off} to cancel\n   *   this subscription.\n   */\n  on(eventType, listener) {\n    return this._emitter.on(eventType, listener);\n  }\n\n  /**\n   * Cancels event subscriptions created by {@link SelectionHandle#on}.\n   *\n   * @param {string} eventType - The type of event to unsubscribe.\n   * @param {string|SelectionHandle~listener} listener - Either the callback\n   *   function previously passed into {@link SelectionHandle#on}, or the\n   *   string that was returned from {@link SelectionHandle#on}.\n   */\n  off(eventType, listener) {\n    return this._emitter.off(eventType, listener);\n  }\n\n  /**\n   * Shuts down the `SelectionHandle` object.\n   *\n   * Removes all event listeners that were added through this handle.\n   */\n  close() {\n    this._emitter.removeAllListeners();\n    this.setGroup(null);\n  }\n}\n\n/**\n * @callback SelectionHandle~listener\n * @param {Object} event - An object containing details of the event. For\n *   `\"change\"` events, this includes the properties `value` (the new\n *   value of the selection, or `undefined` if no selection is active),\n *   `oldValue` (the previous value of the selection), and `sender` (the\n *   `SelectionHandle` instance that made the change).\n */\n\n/**\n * @event SelectionHandle#change\n * @type {object}\n * @property {object} value - The new value of the selection, or `undefined`\n *   if no selection is active.\n * @property {object} oldValue - The previous value of the selection.\n * @property {SelectionHandle} sender - The `SelectionHandle` instance that\n *   changed the value.\n */\n",
-    "export function extend(target, ...sources) {\n  for (let i = 0; i < sources.length; i++) {\n    let src = sources[i];\n    if (typeof(src) === \"undefined\" || src === null)\n      continue;\n\n    for (let key in src) {\n      if (src.hasOwnProperty(key)) {\n        target[key] = src[key];\n      }\n    }\n  }\n  return target;\n}\n\nexport function checkSorted(list) {\n  for (let i = 1; i < list.length; i++) {\n    if (list[i] <= list[i-1]) {\n      throw new Error(\"List is not sorted or contains duplicate\");\n    }\n  }\n}\n\nexport function diffSortedLists(a, b) {\n  let i_a = 0;\n  let i_b = 0;\n\n  if (!a) a = [];\n  if (!b) b = [];\n\n  let a_only = [];\n  let b_only = [];\n\n  checkSorted(a);\n  checkSorted(b);\n\n  while (i_a < a.length && i_b < b.length) {\n    if (a[i_a] === b[i_b]) {\n      i_a++;\n      i_b++;\n    } else if (a[i_a] < b[i_b]) {\n      a_only.push(a[i_a++]);\n    } else {\n      b_only.push(b[i_b++]);\n    }\n  }\n\n  if (i_a < a.length)\n    a_only = a_only.concat(a.slice(i_a));\n  if (i_b < b.length)\n    b_only = b_only.concat(b.slice(i_b));\n  return {\n    removed: a_only,\n    added: b_only\n  };\n}\n\n// Convert from wide: { colA: [1,2,3], colB: [4,5,6], ... }\n// to long: [ {colA: 1, colB: 4}, {colA: 2, colB: 5}, ... ]\nexport function dataframeToD3(df) {\n  let names = [];\n  let length;\n  for (let name in df) {\n    if (df.hasOwnProperty(name))\n      names.push(name);\n    if (typeof(df[name]) !== \"object\" || typeof(df[name].length) === \"undefined\") {\n      throw new Error(\"All fields must be arrays\");\n    } else if (typeof(length) !== \"undefined\" && length !== df[name].length) {\n      throw new Error(\"All fields must be arrays of the same length\");\n    }\n    length = df[name].length;\n  }\n  let results = [];\n  let item;\n  for (let row = 0; row < length; row++) {\n    item = {};\n    for (let col = 0; col < names.length; col++) {\n      item[names[col]] = df[names[col]][row];\n    }\n    results.push(item);\n  }\n  return results;\n}\n\n/**\n * Keeps track of all event listener additions/removals and lets all active\n * listeners be removed with a single operation.\n *\n * @private\n */\nexport class SubscriptionTracker {\n  constructor(emitter) {\n    this._emitter = emitter;\n    this._subs = {};\n  }\n\n  on(eventType, listener) {\n    let sub = this._emitter.on(eventType, listener);\n    this._subs[sub] = eventType;\n    return sub;\n  }\n\n  off(eventType, listener) {\n    let sub = this._emitter.off(eventType, listener);\n    if (sub) {\n      delete this._subs[sub];\n    }\n    return sub;\n  }\n\n  removeAllListeners() {\n    let current_subs = this._subs;\n    this._subs = {};\n    Object.keys(current_subs).forEach((sub) => {\n      this._emitter.off(current_subs[sub], sub);\n    });\n  }\n}\n",
-    "import Events from \"./events\";\n\nexport default class Var {\n  constructor(group, name, /*optional*/ value) {\n    this._group = group;\n    this._name = name;\n    this._value = value;\n    this._events = new Events();\n  }\n\n  get() {\n    return this._value;\n  }\n\n  set(value, /*optional*/ event) {\n    if (this._value === value) {\n      // Do nothing; the value hasn't changed\n      return;\n    }\n    let oldValue = this._value;\n    this._value = value;\n    // Alert JavaScript listeners that the value has changed\n    let evt = {};\n    if (event && typeof(event) === \"object\") {\n      for (let k in event) {\n        if (event.hasOwnProperty(k))\n          evt[k] = event[k];\n      }\n    }\n    evt.oldValue = oldValue;\n    evt.value = value;\n    this._events.trigger(\"change\", evt, this);\n\n    // TODO: Make this extensible, to let arbitrary back-ends know that\n    // something has changed\n    if (global.Shiny && global.Shiny.onInputChange) {\n      global.Shiny.onInputChange(\n        \".clientValue-\" +\n          (this._group.name !== null ? this._group.name + \"-\" : \"\") +\n          this._name,\n        typeof(value) === \"undefined\" ? null : value\n      );\n    }\n  }\n\n  on(eventType, listener) {\n    return this._events.on(eventType, listener);\n  }\n\n  off(eventType, listener) {\n    return this._events.off(eventType, listener);\n  }\n}\n"
-  ]
-}
\ No newline at end of file
diff --git a/latest-tag/coverage-report/lib/crosstalk-1.2.1/js/crosstalk.min.js b/latest-tag/coverage-report/lib/crosstalk-1.2.1/js/crosstalk.min.js
deleted file mode 100644
index b7ec0ac9..00000000
--- a/latest-tag/coverage-report/lib/crosstalk-1.2.1/js/crosstalk.min.js
+++ /dev/null
@@ -1,2 +0,0 @@
-!function o(u,a,l){function s(n,e){if(!a[n]){if(!u[n]){var t="function"==typeof require&&require;if(!e&&t)return t(n,!0);if(f)return f(n,!0);var r=new Error("Cannot find module '"+n+"'");throw r.code="MODULE_NOT_FOUND",r}var i=a[n]={exports:{}};u[n][0].call(i.exports,function(e){var t=u[n][1][e];return s(t||e)},i,i.exports,o,u,a,l)}return a[n].exports}for(var f="function"==typeof require&&require,e=0;e<l.length;e++)s(l[e]);return s}({1:[function(e,t,n){"use strict";Object.defineProperty(n,"__esModule",{value:!0});var r=function(){function r(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}return function(e,t,n){return t&&r(e.prototype,t),n&&r(e,n),e}}();var i=function(){function e(){!function(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}(this,e),this._types={},this._seq=0}return r(e,[{key:"on",value:function(e,t){var n=this._types[e];n||(n=this._types[e]={});var r="sub"+this._seq++;return n[r]=t,r}},{key:"off",value:function(e,t){var n=this._types[e];if("function"==typeof t){for(var r in n)if(n.hasOwnProperty(r)&&n[r]===t)return delete n[r],r;return!1}if("string"==typeof t)return!(!n||!n[t])&&(delete n[t],t);throw new Error("Unexpected type for listener")}},{key:"trigger",value:function(e,t,n){var r=this._types[e];for(var i in r)r.hasOwnProperty(i)&&r[i].call(n,t)}}]),e}();n.default=i},{}],2:[function(e,t,n){"use strict";Object.defineProperty(n,"__esModule",{value:!0}),n.FilterHandle=void 0;var r=function(){function r(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}return function(e,t,n){return t&&r(e.prototype,t),n&&r(e,n),e}}(),i=l(e("./events")),o=l(e("./filterset")),u=l(e("./group")),a=function(e){{if(e&&e.__esModule)return e;var t={};if(null!=e)for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t.default=e,t}}(e("./util"));function l(e){return e&&e.__esModule?e:{default:e}}var s=1;n.FilterHandle=function(){function n(e,t){!function(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}(this,n),this._eventRelay=new i.default,this._emitter=new a.SubscriptionTracker(this._eventRelay),this._group=null,this._filterSet=null,this._filterVar=null,this._varOnChangeSub=null,this._extraInfo=a.extend({sender:this},t),this._id="filter"+s++,this.setGroup(e)}return r(n,[{key:"setGroup",value:function(e){var t,n,r=this;if(this._group!==e&&((this._group||e)&&(this._filterVar&&(this._filterVar.off("change",this._varOnChangeSub),this.clear(),this._varOnChangeSub=null,this._filterVar=null,this._filterSet=null),this._group=e))){e=(0,u.default)(e),this._filterSet=(t=e.var("filterset"),(n=t.get())||(n=new o.default,t.set(n)),n),this._filterVar=(0,u.default)(e).var("filter");var i=this._filterVar.on("change",function(e){r._eventRelay.trigger("change",e,r)});this._varOnChangeSub=i}}},{key:"_mergeExtraInfo",value:function(e){return a.extend({},this._extraInfo?this._extraInfo:null,e||null)}},{key:"close",value:function(){this._emitter.removeAllListeners(),this.clear(),this.setGroup(null)}},{key:"clear",value:function(e){this._filterSet&&(this._filterSet.clear(this._id),this._onChange(e))}},{key:"set",value:function(e,t){this._filterSet&&(this._filterSet.update(this._id,e),this._onChange(t))}},{key:"on",value:function(e,t){return this._emitter.on(e,t)}},{key:"off",value:function(e,t){return this._emitter.off(e,t)}},{key:"_onChange",value:function(e){this._filterSet&&this._filterVar.set(this._filterSet.value,this._mergeExtraInfo(e))}},{key:"filteredKeys",get:function(){return this._filterSet?this._filterSet.value:null}}]),n}()},{"./events":1,"./filterset":3,"./group":4,"./util":11}],3:[function(e,t,n){"use 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0!==arguments[0]?arguments[0]:this._allKeys,t=Object.keys(this._handles).length;if(0===t)this._value=null;else{this._value=[];for(var n=0;n<e.length;n++){this._keys[e[n]]===t&&this._value.push(e[n])}}}},{key:"clear",value:function(e){if(void 0!==this._handles[e]){var t=this._handles[e];t||(t=[]);for(var n=0;n<t.length;n++)this._keys[t[n]]--;delete this._handles[e],this._updateValue()}}},{key:"value",get:function(){return this._value}},{key:"_allKeys",get:function(){var e=Object.keys(this._keys);return e.sort(l),e}}]),e}();n.default=i},{"./util":11}],4:[function(l,e,s){(function(e){"use strict";Object.defineProperty(s,"__esModule",{value:!0});var n=function(){function r(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}return function(e,t,n){return t&&r(e.prototype,t),n&&r(e,n),e}}(),r="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof 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e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require==\"function\"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error(\"Cannot find module '\"+o+\"'\");throw f.code=\"MODULE_NOT_FOUND\",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require==\"function\"&&require;for(var o=0;o<r.length;o++)s(r[o]);return s}return e})()","export default class Events {\n  constructor() {\n    this._types = {};\n    this._seq = 0;\n  }\n\n  on(eventType, listener) {\n    let subs = this._types[eventType];\n    if (!subs) {\n      subs = this._types[eventType] = {};\n    }\n    let sub = \"sub\" + (this._seq++);\n    subs[sub] = listener;\n    return sub;\n  }\n\n  // Returns false if no match, or string for sub name if matched\n  off(eventType, listener) {\n    let subs = this._types[eventType];\n    if (typeof(listener) === \"function\") {\n      for (let key in subs) {\n        if (subs.hasOwnProperty(key)) {\n          if (subs[key] === listener) {\n            delete subs[key];\n            return key;\n          }\n        }\n      }\n      return false;\n    } else if (typeof(listener) === \"string\") {\n      if (subs && subs[listener]) {\n        delete subs[listener];\n        return listener;\n      }\n      return false;\n    } else {\n      throw new Error(\"Unexpected type for listener\");\n    }\n  }\n\n  trigger(eventType, arg, thisObj) {\n    let subs = this._types[eventType];\n    for (let key in subs) {\n      if (subs.hasOwnProperty(key)) {\n        subs[key].call(thisObj, arg);\n      }\n    }\n  }\n}\n","import Events from \"./events\";\nimport FilterSet from \"./filterset\";\nimport grp from \"./group\";\nimport * as util from \"./util\";\n\nfunction getFilterSet(group) {\n  let fsVar = group.var(\"filterset\");\n  let result = fsVar.get();\n  if (!result) {\n    result = new FilterSet();\n    fsVar.set(result);\n  }\n  return result;\n}\n\nlet id = 1;\nfunction nextId() {\n  return id++;\n}\n\n/**\n * Use this class to contribute to, and listen for changes to, the filter set\n * for the given group of widgets. Filter input controls should create one\n * `FilterHandle` and only call {@link FilterHandle#set}. Output widgets that\n * wish to displayed filtered data should create one `FilterHandle` and use\n * the {@link FilterHandle#filteredKeys} property and listen for change\n * events.\n *\n * If two (or more) `FilterHandle` instances in the same webpage share the\n * same group name, they will contribute to a single \"filter set\". Each\n * `FilterHandle` starts out with a `null` value, which means they take\n * nothing away from the set of data that should be shown. To make a\n * `FilterHandle` actually remove data from the filter set, set its value to\n * an array of keys which should be displayed. Crosstalk will aggregate the\n * various key arrays by finding their intersection; only keys that are\n * present in all non-null filter handles are considered part of the filter\n * set.\n *\n * @param {string} [group] - The name of the Crosstalk group, or if none,\n *   null or undefined (or any other falsy value). This can be changed later\n *   via the {@link FilterHandle#setGroup} method.\n * @param {Object} [extraInfo] - An object whose properties will be copied to\n *   the event object whenever an event is emitted.\n */\nexport class FilterHandle {\n  constructor(group, extraInfo) {\n    this._eventRelay = new Events();\n    this._emitter = new util.SubscriptionTracker(this._eventRelay);\n\n    // Name of the group we're currently tracking, if any. Can change over time.\n    this._group = null;\n    // The filterSet that we're tracking, if any. Can change over time.\n    this._filterSet = null;\n    // The Var we're currently tracking, if any. Can change over time.\n    this._filterVar = null;\n    // The event handler subscription we currently have on var.on(\"change\").\n    this._varOnChangeSub = null;\n\n    this._extraInfo = util.extend({ sender: this }, extraInfo);\n\n    this._id = \"filter\" + nextId();\n\n    this.setGroup(group);\n  }\n\n  /**\n   * Changes the Crosstalk group membership of this FilterHandle. If `set()` was\n   * previously called on this handle, switching groups will clear those keys\n   * from the old group's filter set. These keys will not be applied to the new\n   * group's filter set either. In other words, `setGroup()` effectively calls\n   * `clear()` before switching groups.\n   *\n   * @param {string} group - The name of the Crosstalk group, or null (or\n   *   undefined) to clear the group.\n   */\n  setGroup(group) {\n    // If group is unchanged, do nothing\n    if (this._group === group)\n      return;\n    // Treat null, undefined, and other falsy values the same\n    if (!this._group && !group)\n      return;\n\n    if (this._filterVar) {\n      this._filterVar.off(\"change\", this._varOnChangeSub);\n      this.clear();\n      this._varOnChangeSub = null;\n      this._filterVar = null;\n      this._filterSet = null;\n    }\n\n    this._group = group;\n\n    if (group) {\n      group = grp(group);\n      this._filterSet = getFilterSet(group);\n      this._filterVar = grp(group).var(\"filter\");\n      let sub = this._filterVar.on(\"change\", (e) => {\n        this._eventRelay.trigger(\"change\", e, this);\n      });\n      this._varOnChangeSub = sub;\n    }\n  }\n\n  /**\n   * Combine the given `extraInfo` (if any) with the handle's default\n   * `_extraInfo` (if any).\n   * @private\n   */\n  _mergeExtraInfo(extraInfo) {\n    return util.extend({},\n      this._extraInfo ? this._extraInfo : null,\n      extraInfo ? extraInfo : null);\n  }\n\n  /**\n   * Close the handle. This clears this handle's contribution to the filter set,\n   * and unsubscribes all event listeners.\n   */\n  close() {\n    this._emitter.removeAllListeners();\n    this.clear();\n    this.setGroup(null);\n  }\n\n  /**\n   * Clear this handle's contribution to the filter set.\n   *\n   * @param {Object} [extraInfo] - Extra properties to be included on the event\n   *   object that's passed to listeners (in addition to any options that were\n   *   passed into the `FilterHandle` constructor).\n   * \n   * @fires FilterHandle#change\n   */\n  clear(extraInfo) {\n    if (!this._filterSet)\n      return;\n    this._filterSet.clear(this._id);\n    this._onChange(extraInfo);\n  }\n\n  /**\n   * Set this handle's contribution to the filter set. This array should consist\n   * of the keys of the rows that _should_ be displayed; any keys that are not\n   * present in the array will be considered _filtered out_. Note that multiple\n   * `FilterHandle` instances in the group may each contribute an array of keys,\n   * and only those keys that appear in _all_ of the arrays make it through the\n   * filter.\n   *\n   * @param {string[]} keys - Empty array, or array of keys. To clear the\n   *   filter, don't pass an empty array; instead, use the\n   *   {@link FilterHandle#clear} method.\n   * @param {Object} [extraInfo] - Extra properties to be included on the event\n   *   object that's passed to listeners (in addition to any options that were\n   *   passed into the `FilterHandle` constructor).\n   * \n   * @fires FilterHandle#change\n   */\n  set(keys, extraInfo) {\n    if (!this._filterSet)\n      return;\n    this._filterSet.update(this._id, keys);\n    this._onChange(extraInfo);\n  }\n\n  /**\n   * @return {string[]|null} - Either: 1) an array of keys that made it through\n   *   all of the `FilterHandle` instances, or, 2) `null`, which means no filter\n   *   is being applied (all data should be displayed).\n   */\n  get filteredKeys() {\n    return this._filterSet ? this._filterSet.value : null;\n  }\n\n  /**\n   * Subscribe to events on this `FilterHandle`.\n   *\n   * @param {string} eventType - Indicates the type of events to listen to.\n   *   Currently, only `\"change\"` is supported.\n   * @param {FilterHandle~listener} listener - The callback function that\n   *   will be invoked when the event occurs.\n   * @return {string} - A token to pass to {@link FilterHandle#off} to cancel\n   *   this subscription.\n   */\n  on(eventType, listener) {\n    return this._emitter.on(eventType, listener);\n  }\n\n  /**\n   * Cancel event subscriptions created by {@link FilterHandle#on}.\n   *\n   * @param {string} eventType - The type of event to unsubscribe.\n   * @param {string|FilterHandle~listener} listener - Either the callback\n   *   function previously passed into {@link FilterHandle#on}, or the\n   *   string that was returned from {@link FilterHandle#on}.\n   */\n  off(eventType, listener) {\n    return this._emitter.off(eventType, listener);\n  }\n\n  _onChange(extraInfo) {\n    if (!this._filterSet)\n      return;\n    this._filterVar.set(this._filterSet.value, this._mergeExtraInfo(extraInfo));\n  }\n\n  /**\n   * @callback FilterHandle~listener\n   * @param {Object} event - An object containing details of the event. For\n   *   `\"change\"` events, this includes the properties `value` (the new\n   *   value of the filter set, or `null` if no filter set is active),\n   *   `oldValue` (the previous value of the filter set), and `sender` (the\n   *   `FilterHandle` instance that made the change).\n   */\n\n}\n\n/**\n * @event FilterHandle#change\n * @type {object}\n * @property {object} value - The new value of the filter set, or `null`\n *   if no filter set is active.\n * @property {object} oldValue - The previous value of the filter set.\n * @property {FilterHandle} sender - The `FilterHandle` instance that\n *   changed the value.\n */\n","import { diffSortedLists } from \"./util\";\n\nfunction naturalComparator(a, b) {\n  if (a === b) {\n    return 0;\n  } else if (a < b) {\n    return -1;\n  } else if (a > b) {\n    return 1;\n  }\n}\n\n/**\n * @private\n */\nexport default class FilterSet {\n  constructor() {\n    this.reset();\n  }\n\n  reset() {\n    // Key: handle ID, Value: array of selected keys, or null\n    this._handles = {};\n    // Key: key string, Value: count of handles that include it\n    this._keys = {};\n    this._value = null;\n    this._activeHandles = 0;\n  }\n\n  get value() {\n    return this._value;\n  }\n\n  update(handleId, keys) {\n    if (keys !== null) {\n      keys = keys.slice(0); // clone before sorting\n      keys.sort(naturalComparator);\n    }\n\n    let {added, removed} = diffSortedLists(this._handles[handleId], keys);\n    this._handles[handleId] = keys;\n\n    for (let i = 0; i < added.length; i++) {\n      this._keys[added[i]] = (this._keys[added[i]] || 0) + 1;\n    }\n    for (let i = 0; i < removed.length; i++) {\n      this._keys[removed[i]]--;\n    }\n\n    this._updateValue(keys);\n  }\n\n  /**\n   * @param {string[]} keys Sorted array of strings that indicate\n   * a superset of possible keys.\n   * @private\n   */\n  _updateValue(keys = this._allKeys) {\n    let handleCount = Object.keys(this._handles).length;\n    if (handleCount === 0) {\n      this._value = null;\n    } else {\n      this._value = [];\n      for (let i = 0; i < keys.length; i++) {\n        let count = this._keys[keys[i]];\n        if (count === handleCount) {\n          this._value.push(keys[i]);\n        }\n      }\n    }\n  }\n\n  clear(handleId) {\n    if (typeof(this._handles[handleId]) === \"undefined\") {\n      return;\n    }\n\n    let keys = this._handles[handleId];\n    if (!keys) {\n      keys = [];\n    }\n\n    for (let i = 0; i < keys.length; i++) {\n      this._keys[keys[i]]--;\n    }\n    delete this._handles[handleId];\n\n    this._updateValue();\n  }\n\n  get _allKeys() {\n    let allKeys = Object.keys(this._keys);\n    allKeys.sort(naturalComparator);\n    return allKeys;\n  }\n}\n","import Var from \"./var\";\n\n// Use a global so that multiple copies of crosstalk.js can be loaded and still\n// have groups behave as singletons across all copies.\nglobal.__crosstalk_groups = global.__crosstalk_groups || {};\nlet groups = global.__crosstalk_groups;\n\nexport default function group(groupName) {\n  if (groupName && typeof(groupName) === \"string\") {\n    if (!groups.hasOwnProperty(groupName)) {\n      groups[groupName] = new Group(groupName);\n    }\n    return groups[groupName];\n  } else if (typeof(groupName) === \"object\" && groupName._vars && groupName.var) {\n    // Appears to already be a group object\n    return groupName;\n  } else if (Array.isArray(groupName) &&\n      groupName.length == 1 &&\n      typeof(groupName[0]) === \"string\") {\n    return group(groupName[0]);\n  } else {\n    throw new Error(\"Invalid groupName argument\");\n  }\n}\n\nclass Group {\n  constructor(name) {\n    this.name = name;\n    this._vars = {};\n  }\n\n  var(name) {\n    if (!name || typeof(name) !== \"string\") {\n      throw new Error(\"Invalid var name\");\n    }\n\n    if (!this._vars.hasOwnProperty(name))\n      this._vars[name] = new Var(this, name);\n    return this._vars[name];\n  }\n\n  has(name) {\n    if (!name || typeof(name) !== \"string\") {\n      throw new Error(\"Invalid var name\");\n    }\n\n    return this._vars.hasOwnProperty(name);\n  }\n}\n","import group from \"./group\";\nimport { SelectionHandle } from \"./selection\";\nimport { FilterHandle } from \"./filter\";\nimport { bind } from \"./input\";\nimport \"./input_selectize\";\nimport \"./input_checkboxgroup\";\nimport \"./input_slider\";\n\nconst defaultGroup = group(\"default\");\n\nfunction var_(name) {\n  return defaultGroup.var(name);\n}\n\nfunction has(name) {\n  return defaultGroup.has(name);\n}\n\nif (global.Shiny) {\n  global.Shiny.addCustomMessageHandler(\"update-client-value\", function(message) {\n    if (typeof(message.group) === \"string\") {\n      group(message.group).var(message.name).set(message.value);\n    } else {\n      var_(message.name).set(message.value);\n    }\n  });\n}\n\nconst crosstalk = {\n  group: group,\n  var: var_,\n  has: has,\n  SelectionHandle: SelectionHandle,\n  FilterHandle: FilterHandle,\n  bind: bind\n};\n\n/**\n * @namespace crosstalk\n */\nexport default crosstalk;\nglobal.crosstalk = crosstalk;\n","let $ = global.jQuery;\n\nlet bindings = {};\n\nexport function register(reg) {\n  bindings[reg.className] = reg;\n  if (global.document && global.document.readyState !== \"complete\") {\n    $(() => {\n      bind();\n    });\n  } else if (global.document) {\n    setTimeout(bind, 100);\n  }\n}\n\nexport function bind() {\n  Object.keys(bindings).forEach(function(className) {\n    let binding = bindings[className];\n    $(\".\" + binding.className).not(\".crosstalk-input-bound\").each(function(i, el) {\n      bindInstance(binding, el);\n    });\n  });\n}\n\n// Escape jQuery identifier\nfunction $escape(val) {\n  return val.replace(/([!\"#$%&'()*+,./:;<=>?@[\\\\\\]^`{|}~])/g, \"\\\\$1\");\n}\n\nfunction bindEl(el) {\n  let $el = $(el);\n  Object.keys(bindings).forEach(function(className) {\n    if ($el.hasClass(className) && !$el.hasClass(\"crosstalk-input-bound\")) {\n      let binding = bindings[className];\n      bindInstance(binding, el);\n    }\n  });\n}\n\nfunction bindInstance(binding, el) {\n  let jsonEl = $(el).find(\"script[type='application/json'][data-for='\" + $escape(el.id) + \"']\");\n  let data = JSON.parse(jsonEl[0].innerText);\n\n  let instance = binding.factory(el, data);\n  $(el).data(\"crosstalk-instance\", instance);\n  $(el).addClass(\"crosstalk-input-bound\");\n}\n\nif (global.Shiny) {\n  let inputBinding = new global.Shiny.InputBinding();\n  let $ = global.jQuery;\n  $.extend(inputBinding, {\n    find: function(scope) {\n      return $(scope).find(\".crosstalk-input\");\n    },\n    initialize: function(el) {\n      if (!$(el).hasClass(\"crosstalk-input-bound\")) {\n        bindEl(el);\n      }\n    },\n    getId: function(el) {\n      return el.id;\n    },\n    getValue: function(el) {\n\n    },\n    setValue: function(el, value) {\n\n    },\n    receiveMessage: function(el, data) {\n\n    },\n    subscribe: function(el, callback) {\n      $(el).data(\"crosstalk-instance\").resume();\n    },\n    unsubscribe: function(el) {\n      $(el).data(\"crosstalk-instance\").suspend();\n    }\n  });\n  global.Shiny.inputBindings.register(inputBinding, \"crosstalk.inputBinding\");\n}\n","import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n  className: \"crosstalk-input-checkboxgroup\",\n\n  factory: function(el, data) {\n    /*\n     * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n     * group: \"ct-groupname\"\n     */\n    let ctHandle = new FilterHandle(data.group);\n\n    let lastKnownKeys;\n    let $el = $(el);\n    $el.on(\"change\", \"input[type='checkbox']\", function() {\n      let checked = $el.find(\"input[type='checkbox']:checked\");\n      if (checked.length === 0) {\n        lastKnownKeys = null;\n        ctHandle.clear();\n      } else {\n        let keys = {};\n        checked.each(function() {\n          data.map[this.value].forEach(function(key) {\n            keys[key] = true;\n          });\n        });\n        let keyArray = Object.keys(keys);\n        keyArray.sort();\n        lastKnownKeys = keyArray;\n        ctHandle.set(keyArray);\n      }\n    });\n\n    return {\n      suspend: function() {\n        ctHandle.clear();\n      },\n      resume: function() {\n        if (lastKnownKeys)\n          ctHandle.set(lastKnownKeys);\n      }\n    };\n  }\n});\n","import * as input from \"./input\";\nimport * as util from \"./util\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n  className: \"crosstalk-input-select\",\n\n  factory: function(el, data) {\n    /*\n     * items: {value: [...], label: [...]}\n     * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n     * group: \"ct-groupname\"\n     */\n\n    let first = [{value: \"\", label: \"(All)\"}];\n    let items = util.dataframeToD3(data.items);\n    let opts = {\n      options: first.concat(items),\n      valueField: \"value\",\n      labelField: \"label\",\n      searchField: \"label\"\n    };\n\n    let select = $(el).find(\"select\")[0];\n\n    let selectize = $(select).selectize(opts)[0].selectize;\n\n    let ctHandle = new FilterHandle(data.group);\n\n    let lastKnownKeys;\n    selectize.on(\"change\", function() {\n      if (selectize.items.length === 0) {\n        lastKnownKeys = null;\n        ctHandle.clear();\n      } else {\n        let keys = {};\n        selectize.items.forEach(function(group) {\n          data.map[group].forEach(function(key) {\n            keys[key] = true;\n          });\n        });\n        let keyArray = Object.keys(keys);\n        keyArray.sort();\n        lastKnownKeys = keyArray;\n        ctHandle.set(keyArray);\n      }\n    });\n\n    return {\n      suspend: function() {\n        ctHandle.clear();\n      },\n      resume: function() {\n        if (lastKnownKeys)\n          ctHandle.set(lastKnownKeys);\n      }\n    };\n  }\n});\n","import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\nlet strftime = global.strftime;\n\ninput.register({\n  className: \"crosstalk-input-slider\",\n\n  factory: function(el, data) {\n    /*\n     * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n     * group: \"ct-groupname\"\n     */\n    let ctHandle = new FilterHandle(data.group);\n\n    let opts = {};\n    let $el = $(el).find(\"input\");\n    let dataType = $el.data(\"data-type\");\n    let timeFormat = $el.data(\"time-format\");\n    let round = $el.data(\"round\");\n    let timeFormatter;\n\n    // Set up formatting functions\n    if (dataType === \"date\") {\n      timeFormatter = strftime.utc();\n      opts.prettify = function(num) {\n        return timeFormatter(timeFormat, new Date(num));\n      };\n\n    } else if (dataType === \"datetime\") {\n      let timezone = $el.data(\"timezone\");\n      if (timezone)\n        timeFormatter = strftime.timezone(timezone);\n      else\n        timeFormatter = strftime;\n\n      opts.prettify = function(num) {\n        return timeFormatter(timeFormat, new Date(num));\n      };\n    } else if (dataType === \"number\") {\n      if (typeof round !== \"undefined\")\n        opts.prettify = function(num) {\n          let factor = Math.pow(10, round);\n          return Math.round(num * factor) / factor;\n        };\n    }\n\n    $el.ionRangeSlider(opts);\n\n    function getValue() {\n      let result = $el.data(\"ionRangeSlider\").result;\n\n      // Function for converting numeric value from slider to appropriate type.\n      let convert;\n      let dataType = $el.data(\"data-type\");\n      if (dataType === \"date\") {\n        convert = function(val) {\n          return formatDateUTC(new Date(+val));\n        };\n      } else if (dataType === \"datetime\") {\n        convert = function(val) {\n          // Convert ms to s\n          return +val / 1000;\n        };\n      } else {\n        convert = function(val) { return +val; };\n      }\n\n      if ($el.data(\"ionRangeSlider\").options.type === \"double\") {\n        return [convert(result.from), convert(result.to)];\n      } else {\n        return convert(result.from);\n      }\n    }\n\n    let lastKnownKeys = null;\n\n    $el.on(\"change.crosstalkSliderInput\", function(event) {\n      if (!$el.data(\"updating\") && !$el.data(\"animating\")) {\n        let [from, to] = getValue();\n        let keys = [];\n        for (let i = 0; i < data.values.length; i++) {\n          let val = data.values[i];\n          if (val >= from && val <= to) {\n            keys.push(data.keys[i]);\n          }\n        }\n        keys.sort();\n        ctHandle.set(keys);\n        lastKnownKeys = keys;\n      }\n    });\n\n\n    // let $el = $(el);\n    // $el.on(\"change\", \"input[type=\"checkbox\"]\", function() {\n    //   let checked = $el.find(\"input[type=\"checkbox\"]:checked\");\n    //   if (checked.length === 0) {\n    //     ctHandle.clear();\n    //   } else {\n    //     let keys = {};\n    //     checked.each(function() {\n    //       data.map[this.value].forEach(function(key) {\n    //         keys[key] = true;\n    //       });\n    //     });\n    //     let keyArray = Object.keys(keys);\n    //     keyArray.sort();\n    //     ctHandle.set(keyArray);\n    //   }\n    // });\n\n    return {\n      suspend: function() {\n        ctHandle.clear();\n      },\n      resume: function() {\n        if (lastKnownKeys)\n          ctHandle.set(lastKnownKeys);\n      }\n    };\n  }\n});\n\n\n// Convert a number to a string with leading zeros\nfunction padZeros(n, digits) {\n  let str = n.toString();\n  while (str.length < digits)\n    str = \"0\" + str;\n  return str;\n}\n\n// Given a Date object, return a string in yyyy-mm-dd format, using the\n// UTC date. This may be a day off from the date in the local time zone.\nfunction formatDateUTC(date) {\n  if (date instanceof Date) {\n    return date.getUTCFullYear() + \"-\" +\n           padZeros(date.getUTCMonth()+1, 2) + \"-\" +\n           padZeros(date.getUTCDate(), 2);\n\n  } else {\n    return null;\n  }\n}\n","import Events from \"./events\";\nimport grp from \"./group\";\nimport * as util from \"./util\";\n\n/**\n * Use this class to read and write (and listen for changes to) the selection\n * for a Crosstalk group. This is intended to be used for linked brushing.\n *\n * If two (or more) `SelectionHandle` instances in the same webpage share the\n * same group name, they will share the same state. Setting the selection using\n * one `SelectionHandle` instance will result in the `value` property instantly\n * changing across the others, and `\"change\"` event listeners on all instances\n * (including the one that initiated the sending) will fire.\n *\n * @param {string} [group] - The name of the Crosstalk group, or if none,\n *   null or undefined (or any other falsy value). This can be changed later\n *   via the [SelectionHandle#setGroup](#setGroup) method.\n * @param {Object} [extraInfo] - An object whose properties will be copied to\n *   the event object whenever an event is emitted.\n */\nexport class SelectionHandle {\n\n  constructor(group = null, extraInfo = null) {\n    this._eventRelay = new Events();\n    this._emitter = new util.SubscriptionTracker(this._eventRelay);\n\n    // Name of the group we're currently tracking, if any. Can change over time.\n    this._group = null;\n    // The Var we're currently tracking, if any. Can change over time.\n    this._var = null;\n    // The event handler subscription we currently have on var.on(\"change\").\n    this._varOnChangeSub = null;\n\n    this._extraInfo = util.extend({ sender: this }, extraInfo);\n\n    this.setGroup(group);\n  }\n\n  /**\n   * Changes the Crosstalk group membership of this SelectionHandle. The group\n   * being switched away from (if any) will not have its selection value\n   * modified as a result of calling `setGroup`, even if this handle was the\n   * most recent handle to set the selection of the group.\n   *\n   * The group being switched to (if any) will also not have its selection value\n   * modified as a result of calling `setGroup`. If you want to set the\n   * selection value of the new group, call `set` explicitly.\n   *\n   * @param {string} group - The name of the Crosstalk group, or null (or\n   *   undefined) to clear the group.\n   */\n  setGroup(group) {\n    // If group is unchanged, do nothing\n    if (this._group === group)\n      return;\n    // Treat null, undefined, and other falsy values the same\n    if (!this._group && !group)\n      return;\n\n    if (this._var) {\n      this._var.off(\"change\", this._varOnChangeSub);\n      this._var = null;\n      this._varOnChangeSub = null;\n    }\n\n    this._group = group;\n\n    if (group) {\n      this._var = grp(group).var(\"selection\");\n      let sub = this._var.on(\"change\", (e) => {\n        this._eventRelay.trigger(\"change\", e, this);\n      });\n      this._varOnChangeSub = sub;\n    }\n  }\n\n  /**\n   * Retrieves the current selection for the group represented by this\n   * `SelectionHandle`.\n   *\n   * - If no selection is active, then this value will be falsy.\n   * - If a selection is active, but no data points are selected, then this\n   *   value will be an empty array.\n   * - If a selection is active, and data points are selected, then the keys\n   *   of the selected data points will be present in the array.\n   */\n  get value() {\n    return this._var ? this._var.get() : null;\n  }\n\n  /**\n   * Combines the given `extraInfo` (if any) with the handle's default\n   * `_extraInfo` (if any).\n   * @private\n   */\n  _mergeExtraInfo(extraInfo) {\n    // Important incidental effect: shallow clone is returned\n    return util.extend({},\n      this._extraInfo ? this._extraInfo : null,\n      extraInfo ? extraInfo : null);\n  }\n\n  /**\n   * Overwrites the current selection for the group, and raises the `\"change\"`\n   * event among all of the group's '`SelectionHandle` instances (including\n   * this one).\n   *\n   * @fires SelectionHandle#change\n   * @param {string[]} selectedKeys - Falsy, empty array, or array of keys (see\n   *   {@link SelectionHandle#value}).\n   * @param {Object} [extraInfo] - Extra properties to be included on the event\n   *   object that's passed to listeners (in addition to any options that were\n   *   passed into the `SelectionHandle` constructor).\n   */\n  set(selectedKeys, extraInfo) {\n    if (this._var)\n      this._var.set(selectedKeys, this._mergeExtraInfo(extraInfo));\n  }\n\n  /**\n   * Overwrites the current selection for the group, and raises the `\"change\"`\n   * event among all of the group's '`SelectionHandle` instances (including\n   * this one).\n   *\n   * @fires SelectionHandle#change\n   * @param {Object} [extraInfo] - Extra properties to be included on the event\n   *   object that's passed to listeners (in addition to any that were passed\n   *   into the `SelectionHandle` constructor).\n   */\n  clear(extraInfo) {\n    if (this._var)\n      this.set(void 0, this._mergeExtraInfo(extraInfo));\n  }\n\n  /**\n   * Subscribes to events on this `SelectionHandle`.\n   *\n   * @param {string} eventType - Indicates the type of events to listen to.\n   *   Currently, only `\"change\"` is supported.\n   * @param {SelectionHandle~listener} listener - The callback function that\n   *   will be invoked when the event occurs.\n   * @return {string} - A token to pass to {@link SelectionHandle#off} to cancel\n   *   this subscription.\n   */\n  on(eventType, listener) {\n    return this._emitter.on(eventType, listener);\n  }\n\n  /**\n   * Cancels event subscriptions created by {@link SelectionHandle#on}.\n   *\n   * @param {string} eventType - The type of event to unsubscribe.\n   * @param {string|SelectionHandle~listener} listener - Either the callback\n   *   function previously passed into {@link SelectionHandle#on}, or the\n   *   string that was returned from {@link SelectionHandle#on}.\n   */\n  off(eventType, listener) {\n    return this._emitter.off(eventType, listener);\n  }\n\n  /**\n   * Shuts down the `SelectionHandle` object.\n   *\n   * Removes all event listeners that were added through this handle.\n   */\n  close() {\n    this._emitter.removeAllListeners();\n    this.setGroup(null);\n  }\n}\n\n/**\n * @callback SelectionHandle~listener\n * @param {Object} event - An object containing details of the event. For\n *   `\"change\"` events, this includes the properties `value` (the new\n *   value of the selection, or `undefined` if no selection is active),\n *   `oldValue` (the previous value of the selection), and `sender` (the\n *   `SelectionHandle` instance that made the change).\n */\n\n/**\n * @event SelectionHandle#change\n * @type {object}\n * @property {object} value - The new value of the selection, or `undefined`\n *   if no selection is active.\n * @property {object} oldValue - The previous value of the selection.\n * @property {SelectionHandle} sender - The `SelectionHandle` instance that\n *   changed the value.\n */\n","export function extend(target, ...sources) {\n  for (let i = 0; i < sources.length; i++) {\n    let src = sources[i];\n    if (typeof(src) === \"undefined\" || src === null)\n      continue;\n\n    for (let key in src) {\n      if (src.hasOwnProperty(key)) {\n        target[key] = src[key];\n      }\n    }\n  }\n  return target;\n}\n\nexport function checkSorted(list) {\n  for (let i = 1; i < list.length; i++) {\n    if (list[i] <= list[i-1]) {\n      throw new Error(\"List is not sorted or contains duplicate\");\n    }\n  }\n}\n\nexport function diffSortedLists(a, b) {\n  let i_a = 0;\n  let i_b = 0;\n\n  if (!a) a = [];\n  if (!b) b = [];\n\n  let a_only = [];\n  let b_only = [];\n\n  checkSorted(a);\n  checkSorted(b);\n\n  while (i_a < a.length && i_b < b.length) {\n    if (a[i_a] === b[i_b]) {\n      i_a++;\n      i_b++;\n    } else if (a[i_a] < b[i_b]) {\n      a_only.push(a[i_a++]);\n    } else {\n      b_only.push(b[i_b++]);\n    }\n  }\n\n  if (i_a < a.length)\n    a_only = a_only.concat(a.slice(i_a));\n  if (i_b < b.length)\n    b_only = b_only.concat(b.slice(i_b));\n  return {\n    removed: a_only,\n    added: b_only\n  };\n}\n\n// Convert from wide: { colA: [1,2,3], colB: [4,5,6], ... }\n// to long: [ {colA: 1, colB: 4}, {colA: 2, colB: 5}, ... ]\nexport function dataframeToD3(df) {\n  let names = [];\n  let length;\n  for (let name in df) {\n    if (df.hasOwnProperty(name))\n      names.push(name);\n    if (typeof(df[name]) !== \"object\" || typeof(df[name].length) === \"undefined\") {\n      throw new Error(\"All fields must be arrays\");\n    } else if (typeof(length) !== \"undefined\" && length !== df[name].length) {\n      throw new Error(\"All fields must be arrays of the same length\");\n    }\n    length = df[name].length;\n  }\n  let results = [];\n  let item;\n  for (let row = 0; row < length; row++) {\n    item = {};\n    for (let col = 0; col < names.length; col++) {\n      item[names[col]] = df[names[col]][row];\n    }\n    results.push(item);\n  }\n  return results;\n}\n\n/**\n * Keeps track of all event listener additions/removals and lets all active\n * listeners be removed with a single operation.\n *\n * @private\n */\nexport class SubscriptionTracker {\n  constructor(emitter) {\n    this._emitter = emitter;\n    this._subs = {};\n  }\n\n  on(eventType, listener) {\n    let sub = this._emitter.on(eventType, listener);\n    this._subs[sub] = eventType;\n    return sub;\n  }\n\n  off(eventType, listener) {\n    let sub = this._emitter.off(eventType, listener);\n    if (sub) {\n      delete this._subs[sub];\n    }\n    return sub;\n  }\n\n  removeAllListeners() {\n    let current_subs = this._subs;\n    this._subs = {};\n    Object.keys(current_subs).forEach((sub) => {\n      this._emitter.off(current_subs[sub], sub);\n    });\n  }\n}\n","import Events from \"./events\";\n\nexport default class Var {\n  constructor(group, name, /*optional*/ value) {\n    this._group = group;\n    this._name = name;\n    this._value = value;\n    this._events = new Events();\n  }\n\n  get() {\n    return this._value;\n  }\n\n  set(value, /*optional*/ event) {\n    if (this._value === value) {\n      // Do nothing; the value hasn't changed\n      return;\n    }\n    let oldValue = this._value;\n    this._value = value;\n    // Alert JavaScript listeners that the value has changed\n    let evt = {};\n    if (event && typeof(event) === \"object\") {\n      for (let k in event) {\n        if (event.hasOwnProperty(k))\n          evt[k] = event[k];\n      }\n    }\n    evt.oldValue = oldValue;\n    evt.value = value;\n    this._events.trigger(\"change\", evt, this);\n\n    // TODO: Make this extensible, to let arbitrary back-ends know that\n    // something has changed\n    if (global.Shiny && global.Shiny.onInputChange) {\n      global.Shiny.onInputChange(\n        \".clientValue-\" +\n          (this._group.name !== null ? this._group.name + \"-\" : \"\") +\n          this._name,\n        typeof(value) === \"undefined\" ? null : value\n      );\n    }\n  }\n\n  on(eventType, listener) {\n    return this._events.on(eventType, listener);\n  }\n\n  off(eventType, listener) {\n    return this._events.off(eventType, listener);\n  }\n}\n"]}
\ No newline at end of file
diff --git a/latest-tag/coverage-report/lib/crosstalk-1.2.1/scss/crosstalk.scss b/latest-tag/coverage-report/lib/crosstalk-1.2.1/scss/crosstalk.scss
deleted file mode 100644
index 35665616..00000000
--- a/latest-tag/coverage-report/lib/crosstalk-1.2.1/scss/crosstalk.scss
+++ /dev/null
@@ -1,75 +0,0 @@
-/* Adjust margins outwards, so column contents line up with the edges of the
-   parent of container-fluid. */
-.container-fluid.crosstalk-bscols {
-  margin-left: -30px;
-  margin-right: -30px;
-  white-space: normal;
-}
-
-/* But don't adjust the margins outwards if we're directly under the body,
-   i.e. we were the top-level of something at the console. */
-body > .container-fluid.crosstalk-bscols {
-  margin-left: auto;
-  margin-right: auto;
-}
-
-.crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column {
-  display: inline-block;
-  padding-right: 12px;
-  vertical-align: top;
-}
-
-@media only screen and (max-width:480px) {
-  .crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column {
-    display: block;
-    padding-right: inherit;
-  }
-}
-
-/* Relevant BS3 styles to make filter_checkbox() look reasonable without Bootstrap */
-.crosstalk-input {
-  margin-bottom: 15px; /* a la .form-group */
-  .control-label {
-    margin-bottom: 0;
-    vertical-align: middle;
-  }
-  input[type="checkbox"] {
-    margin: 4px 0 0;
-    margin-top: 1px;
-    line-height: normal;
-  }
-  .checkbox {
-    position: relative;
-    display: block;
-    margin-top: 10px;
-    margin-bottom: 10px;
-  }
-  .checkbox > label{
-    padding-left: 20px;
-    margin-bottom: 0;
-    font-weight: 400;
-    cursor: pointer;
-  }
-  .checkbox input[type="checkbox"],
-  .checkbox-inline input[type="checkbox"] {
-    position: absolute;
-    margin-top: 2px;
-    margin-left: -20px;
-  }
-  .checkbox + .checkbox {
-    margin-top: -5px;
-  }
-  .checkbox-inline {
-    position: relative;
-    display: inline-block;
-    padding-left: 20px;
-    margin-bottom: 0;
-    font-weight: 400;
-    vertical-align: middle;
-    cursor: pointer;
-  }
-  .checkbox-inline + .checkbox-inline {
-    margin-top: 0;
-    margin-left: 10px;
-  }
-}
diff --git a/latest-tag/coverage-report/lib/datatables-binding-0.32/datatables.js b/latest-tag/coverage-report/lib/datatables-binding-0.32/datatables.js
deleted file mode 100644
index 6a3c3d5c..00000000
--- a/latest-tag/coverage-report/lib/datatables-binding-0.32/datatables.js
+++ /dev/null
@@ -1,1536 +0,0 @@
-(function() {
-
-// some helper functions: using a global object DTWidget so that it can be used
-// in JS() code, e.g. datatable(options = list(foo = JS('code'))); unlike R's
-// dynamic scoping, when 'code' is eval'ed, JavaScript does not know objects
-// from the "parent frame", e.g. JS('DTWidget') will not work unless it was made
-// a global object
-var DTWidget = {};
-
-// 123456666.7890 -> 123,456,666.7890
-var markInterval = function(d, digits, interval, mark, decMark, precision) {
-  x = precision ? d.toPrecision(digits) : d.toFixed(digits);
-  if (!/^-?[\d.]+$/.test(x)) return x;
-  var xv = x.split('.');
-  if (xv.length > 2) return x;  // should have at most one decimal point
-  xv[0] = xv[0].replace(new RegExp('\\B(?=(\\d{' + interval + '})+(?!\\d))', 'g'), mark);
-  return xv.join(decMark);
-};
-
-DTWidget.formatCurrency = function(data, currency, digits, interval, mark, decMark, before, zeroPrint) {
-  var d = parseFloat(data);
-  if (isNaN(d)) return '';
-  if (zeroPrint !== null && d === 0.0) return zeroPrint;
-  var res = markInterval(d, digits, interval, mark, decMark);
-  res = before ? (/^-/.test(res) ? '-' + currency + res.replace(/^-/, '') : currency + res) :
-    res + currency;
-  return res;
-};
-
-DTWidget.formatString = function(data, prefix, suffix) {
-  var d = data;
-  if (d === null) return '';
-  return prefix + d + suffix;
-};
-
-DTWidget.formatPercentage = function(data, digits, interval, mark, decMark, zeroPrint) {
-  var d = parseFloat(data);
-  if (isNaN(d)) return '';
-  if (zeroPrint !== null && d === 0.0) return zeroPrint;
-  return markInterval(d * 100, digits, interval, mark, decMark) + '%';
-};
-
-DTWidget.formatRound = function(data, digits, interval, mark, decMark, zeroPrint) {
-  var d = parseFloat(data);
-  if (isNaN(d)) return '';
-  if (zeroPrint !== null && d === 0.0) return zeroPrint;
-  return markInterval(d, digits, interval, mark, decMark);
-};
-
-DTWidget.formatSignif = function(data, digits, interval, mark, decMark, zeroPrint) {
-  var d = parseFloat(data);
-  if (isNaN(d)) return '';
-  if (zeroPrint !== null && d === 0.0) return zeroPrint;
-  return markInterval(d, digits, interval, mark, decMark, true);
-};
-
-DTWidget.formatDate = function(data, method, params) {
-  var d = data;
-  if (d === null) return '';
-  // (new Date('2015-10-28')).toDateString() may return 2015-10-27 because the
-  // actual time created could be like 'Tue Oct 27 2015 19:00:00 GMT-0500 (CDT)',
-  // i.e. the date-only string is treated as UTC time instead of local time
-  if ((method === 'toDateString' || method === 'toLocaleDateString') && /^\d{4,}\D\d{2}\D\d{2}$/.test(d)) {
-    d = d.split(/\D/);
-    d = new Date(d[0], d[1] - 1, d[2]);
-  } else {
-    d = new Date(d);
-  }
-  return d[method].apply(d, params);
-};
-
-window.DTWidget = DTWidget;
-
-// A helper function to update the properties of existing filters
-var setFilterProps = function(td, props) {
-  // Update enabled/disabled state
-  var $input = $(td).find('input').first();
-  var searchable = $input.data('searchable');
-  $input.prop('disabled', !searchable || props.disabled);
-
-  // Based on the filter type, set its new values
-  var type = td.getAttribute('data-type');
-  if (['factor', 'logical'].includes(type)) {
-    // Reformat the new dropdown options for use with selectize
-    var new_vals = props.params.options.map(function(item) {
-      return { text: item, value: item };
-    });
-
-    // Find the selectize object
-    var dropdown = $(td).find('.selectized').eq(0)[0].selectize;
-
-    // Note the current values
-    var old_vals = dropdown.getValue();
-
-    // Remove the existing values
-    dropdown.clearOptions();
-
-    // Add the new options
-    dropdown.addOption(new_vals);
-
-    // Preserve the existing values
-    dropdown.setValue(old_vals);
-
-  } else if (['number', 'integer', 'date', 'time'].includes(type)) {
-    // Apply internal scaling to new limits. Updating scale not yet implemented.
-    var slider = $(td).find('.noUi-target').eq(0);
-    var scale = Math.pow(10, Math.max(0, +slider.data('scale') || 0));
-    var new_vals = [props.params.min * scale, props.params.max * scale];
-
-    // Note what the new limits will be just for this filter
-    var new_lims = new_vals.slice();
-
-    // Determine the current values and limits
-    var old_vals = slider.val().map(Number);
-    var old_lims = slider.noUiSlider('options').range;
-    old_lims = [old_lims.min, old_lims.max];
-
-    // Preserve the current values if filters have been applied; otherwise, apply no filtering
-    if (old_vals[0] != old_lims[0]) {
-      new_vals[0] = Math.max(old_vals[0], new_vals[0]);
-    }
-
-    if (old_vals[1] != old_lims[1]) {
-      new_vals[1] = Math.min(old_vals[1], new_vals[1]);
-    }
-
-    // Update the endpoints of the slider
-    slider.noUiSlider({
-      start: new_vals,
-      range: {'min': new_lims[0], 'max': new_lims[1]}
-    }, true);
-  }
-};
-
-var transposeArray2D = function(a) {
-  return a.length === 0 ? a : HTMLWidgets.transposeArray2D(a);
-};
-
-var crosstalkPluginsInstalled = false;
-
-function maybeInstallCrosstalkPlugins() {
-  if (crosstalkPluginsInstalled)
-    return;
-  crosstalkPluginsInstalled = true;
-
-  $.fn.dataTable.ext.afnFiltering.push(
-    function(oSettings, aData, iDataIndex) {
-      var ctfilter = oSettings.nTable.ctfilter;
-      if (ctfilter && !ctfilter[iDataIndex])
-        return false;
-
-      var ctselect = oSettings.nTable.ctselect;
-      if (ctselect && !ctselect[iDataIndex])
-        return false;
-
-      return true;
-    }
-  );
-}
-
-HTMLWidgets.widget({
-  name: "datatables",
-  type: "output",
-  renderOnNullValue: true,
-  initialize: function(el, width, height) {
-    // in order that the type=number inputs return a number
-    $.valHooks.number = {
-      get: function(el) {
-        var value = parseFloat(el.value);
-        return isNaN(value) ? "" : value;
-      }
-    };
-    $(el).html('&nbsp;');
-    return {
-      data: null,
-      ctfilterHandle: new crosstalk.FilterHandle(),
-      ctfilterSubscription: null,
-      ctselectHandle: new crosstalk.SelectionHandle(),
-      ctselectSubscription: null
-    };
-  },
-  renderValue: function(el, data, instance) {
-    if (el.offsetWidth === 0 || el.offsetHeight === 0) {
-      instance.data = data;
-      return;
-    }
-    instance.data = null;
-    var $el = $(el);
-    $el.empty();
-
-    if (data === null) {
-      $el.append('&nbsp;');
-      // clear previous Shiny inputs (if any)
-      for (var i in instance.clearInputs) instance.clearInputs[i]();
-      instance.clearInputs = {};
-      return;
-    }
-
-    var crosstalkOptions = data.crosstalkOptions;
-    if (!crosstalkOptions) crosstalkOptions = {
-      'key': null, 'group': null
-    };
-    if (crosstalkOptions.group) {
-      maybeInstallCrosstalkPlugins();
-      instance.ctfilterHandle.setGroup(crosstalkOptions.group);
-      instance.ctselectHandle.setGroup(crosstalkOptions.group);
-    }
-
-    // if we are in the viewer then we always want to fillContainer and
-    // and autoHideNavigation (unless the user has explicitly set these)
-    if (window.HTMLWidgets.viewerMode) {
-      if (!data.hasOwnProperty("fillContainer"))
-        data.fillContainer = true;
-      if (!data.hasOwnProperty("autoHideNavigation"))
-        data.autoHideNavigation = true;
-    }
-
-    // propagate fillContainer to instance (so we have it in resize)
-    instance.fillContainer = data.fillContainer;
-
-    var cells = data.data;
-
-    if (cells instanceof Array) cells = transposeArray2D(cells);
-
-    $el.append(data.container);
-    var $table = $el.find('table');
-    if (data.class) $table.addClass(data.class);
-    if (data.caption) $table.prepend(data.caption);
-
-    if (!data.selection) data.selection = {
-      mode: 'none', selected: null, target: 'row', selectable: null
-    };
-    if (HTMLWidgets.shinyMode && data.selection.mode !== 'none' &&
-        data.selection.target === 'row+column') {
-      if ($table.children('tfoot').length === 0) {
-        $table.append($('<tfoot>'));
-        $table.find('thead tr').clone().appendTo($table.find('tfoot'));
-      }
-    }
-
-    // column filters
-    var filterRow;
-    switch (data.filter) {
-      case 'top':
-        $table.children('thead').append(data.filterHTML);
-        filterRow = $table.find('thead tr:last td');
-        break;
-      case 'bottom':
-        if ($table.children('tfoot').length === 0) {
-          $table.append($('<tfoot>'));
-        }
-        $table.children('tfoot').prepend(data.filterHTML);
-        filterRow = $table.find('tfoot tr:first td');
-        break;
-    }
-
-    var options = { searchDelay: 1000 };
-    if (cells !== null) $.extend(options, {
-      data: cells
-    });
-
-    // options for fillContainer
-    var bootstrapActive = typeof($.fn.popover) != 'undefined';
-    if (instance.fillContainer) {
-
-      // force scrollX/scrollY and turn off autoWidth
-      options.scrollX = true;
-      options.scrollY = "100px"; // can be any value, we'll adjust below
-
-      // if we aren't paginating then move around the info/filter controls
-      // to save space at the bottom and rephrase the info callback
-      if (data.options.paging === false) {
-
-        // we know how to do this cleanly for bootstrap, not so much
-        // for other themes/layouts
-        if (bootstrapActive) {
-          options.dom = "<'row'<'col-sm-4'i><'col-sm-8'f>>" +
-                        "<'row'<'col-sm-12'tr>>";
-        }
-
-        options.fnInfoCallback = function(oSettings, iStart, iEnd,
-                                           iMax, iTotal, sPre) {
-          return Number(iTotal).toLocaleString() + " records";
-        };
-      }
-    }
-
-    // auto hide navigation if requested
-    // Note, this only works on client-side processing mode as on server-side,
-    // cells (data.data) is null; In addition, we require the pageLength option
-    // being provided explicitly to enable this. Despite we may be able to deduce
-    // the default value of pageLength, it may complicate things so we'd rather
-    // put this responsiblity to users and warn them on the R side.
-    if (data.autoHideNavigation === true && data.options.paging !== false) {
-      // strip all nav if length >= cells
-      if ((cells instanceof Array) && data.options.pageLength >= cells.length)
-        options.dom = bootstrapActive ? "<'row'<'col-sm-12'tr>>" : "t";
-      // alternatively lean things out for flexdashboard mobile portrait
-      else if (bootstrapActive && window.FlexDashboard && window.FlexDashboard.isMobilePhone())
-        options.dom = "<'row'<'col-sm-12'f>>" +
-                      "<'row'<'col-sm-12'tr>>"  +
-                      "<'row'<'col-sm-12'p>>";
-    }
-
-    $.extend(true, options, data.options || {});
-
-    var searchCols = options.searchCols;
-    if (searchCols) {
-      searchCols = searchCols.map(function(x) {
-        return x === null ? '' : x.search;
-      });
-      // FIXME: this means I don't respect the escapeRegex setting
-      delete options.searchCols;
-    }
-
-    // server-side processing?
-    var server = options.serverSide === true;
-
-    // use the dataSrc function to pre-process JSON data returned from R
-    var DT_rows_all = [], DT_rows_current = [];
-    if (server && HTMLWidgets.shinyMode && typeof options.ajax === 'object' &&
-        /^session\/[\da-z]+\/dataobj/.test(options.ajax.url) && !options.ajax.dataSrc) {
-      options.ajax.dataSrc = function(json) {
-        DT_rows_all = $.makeArray(json.DT_rows_all);
-        DT_rows_current = $.makeArray(json.DT_rows_current);
-        var data = json.data;
-        if (!colReorderEnabled()) return data;
-        var table = $table.DataTable(), order = table.colReorder.order(), flag = true, i, j, row;
-        for (i = 0; i < order.length; ++i) if (order[i] !== i) flag = false;
-        if (flag) return data;
-        for (i = 0; i < data.length; ++i) {
-          row = data[i].slice();
-          for (j = 0; j < order.length; ++j) data[i][j] = row[order[j]];
-        }
-        return data;
-      };
-    }
-
-    var thiz = this;
-    if (instance.fillContainer) $table.on('init.dt', function(e) {
-      thiz.fillAvailableHeight(el, $(el).innerHeight());
-    });
-    // If the page contains serveral datatables and one of which enables colReorder,
-    // the table.colReorder.order() function will exist but throws error when called.
-    // So it seems like the only way to know if colReorder is enabled or not is to
-    // check the options.
-    var colReorderEnabled = function() { return "colReorder" in options; };
-    var table = $table.DataTable(options);
-    $el.data('datatable', table);
-
-    if ('rowGroup' in options) {
-      // Maintain RowGroup dataSrc when columns are reordered (#1109)
-      table.on('column-reorder', function(e, settings, details) {
-        var oldDataSrc = table.rowGroup().dataSrc();
-        var newDataSrc = details.mapping[oldDataSrc];
-        table.rowGroup().dataSrc(newDataSrc);
-      });
-    }
-
-    // Unregister previous Crosstalk event subscriptions, if they exist
-    if (instance.ctfilterSubscription) {
-      instance.ctfilterHandle.off("change", instance.ctfilterSubscription);
-      instance.ctfilterSubscription = null;
-    }
-    if (instance.ctselectSubscription) {
-      instance.ctselectHandle.off("change", instance.ctselectSubscription);
-      instance.ctselectSubscription = null;
-    }
-
-    if (!crosstalkOptions.group) {
-      $table[0].ctfilter = null;
-      $table[0].ctselect = null;
-    } else {
-      var key = crosstalkOptions.key;
-      function keysToMatches(keys) {
-        if (!keys) {
-          return null;
-        } else {
-          var selectedKeys = {};
-          for (var i = 0; i < keys.length; i++) {
-            selectedKeys[keys[i]] = true;
-          }
-          var matches = {};
-          for (var j = 0; j < key.length; j++) {
-            if (selectedKeys[key[j]])
-              matches[j] = true;
-          }
-          return matches;
-        }
-      }
-
-      function applyCrosstalkFilter(e) {
-        $table[0].ctfilter = keysToMatches(e.value);
-        table.draw();
-      }
-      instance.ctfilterSubscription = instance.ctfilterHandle.on("change", applyCrosstalkFilter);
-      applyCrosstalkFilter({value: instance.ctfilterHandle.filteredKeys});
-
-      function applyCrosstalkSelection(e) {
-        if (e.sender !== instance.ctselectHandle) {
-          table
-            .rows('.' + selClass, {search: 'applied'})
-            .nodes()
-            .to$()
-            .removeClass(selClass);
-          if (selectedRows)
-            changeInput('rows_selected', selectedRows(), void 0, true);
-        }
-
-        if (e.sender !== instance.ctselectHandle && e.value && e.value.length) {
-          var matches = keysToMatches(e.value);
-
-          // persistent selection with plotly (& leaflet)
-          var ctOpts = crosstalk.var("plotlyCrosstalkOpts").get() || {};
-          if (ctOpts.persistent === true) {
-            var matches = $.extend(matches, $table[0].ctselect);
-          }
-
-          $table[0].ctselect = matches;
-          table.draw();
-        } else {
-          if ($table[0].ctselect) {
-            $table[0].ctselect = null;
-            table.draw();
-          }
-        }
-      }
-      instance.ctselectSubscription = instance.ctselectHandle.on("change", applyCrosstalkSelection);
-      // TODO: This next line doesn't seem to work when renderDataTable is used
-      applyCrosstalkSelection({value: instance.ctselectHandle.value});
-    }
-
-    var inArray = function(val, array) {
-      return $.inArray(val, $.makeArray(array)) > -1;
-    };
-
-    // search the i-th column
-    var searchColumn = function(i, value) {
-      var regex = false, ci = true;
-      if (options.search) {
-        regex = options.search.regex,
-        ci = options.search.caseInsensitive !== false;
-      }
-      // need to transpose the column index when colReorder is enabled
-      if (table.colReorder) i = table.colReorder.transpose(i);
-      return table.column(i).search(value, regex, !regex, ci);
-    };
-
-    if (data.filter !== 'none') {
-      if (!data.hasOwnProperty('filterSettings')) data.filterSettings = {};
-
-      filterRow.each(function(i, td) {
-
-        var $td = $(td), type = $td.data('type'), filter;
-        var $input = $td.children('div').first().children('input');
-        var disabled = $input.prop('disabled');
-        var searchable = table.settings()[0].aoColumns[i].bSearchable;
-        $input.prop('disabled', !searchable || disabled);
-        $input.data('searchable', searchable); // for updating later
-        $input.on('input blur', function() {
-          $input.next('span').toggle(Boolean($input.val()));
-        });
-        // Bootstrap sets pointer-events to none and we won't be able to click
-        // the clear button
-        $input.next('span').css('pointer-events', 'auto').hide().click(function() {
-          $(this).hide().prev('input').val('').trigger('input').focus();
-        });
-        var searchCol;  // search string for this column
-        if (searchCols && searchCols[i]) {
-          searchCol = searchCols[i];
-          $input.val(searchCol).trigger('input');
-        }
-        var $x = $td.children('div').last();
-
-        // remove the overflow: hidden attribute of the scrollHead
-        // (otherwise the scrolling table body obscures the filters)
-        // The workaround and the discussion from
-        // https://github.com/rstudio/DT/issues/554#issuecomment-518007347
-        // Otherwise the filter selection will not be anchored to the values
-        // when the columns number is many and scrollX is enabled.
-        var scrollHead = $(el).find('.dataTables_scrollHead,.dataTables_scrollFoot');
-        var cssOverflowHead = scrollHead.css('overflow');
-        var scrollBody = $(el).find('.dataTables_scrollBody');
-        var cssOverflowBody = scrollBody.css('overflow');
-        var scrollTable = $(el).find('.dataTables_scroll');
-        var cssOverflowTable = scrollTable.css('overflow');
-        if (cssOverflowHead === 'hidden') {
-          $x.on('show hide', function(e) {
-            if (e.type === 'show') {
-              scrollHead.css('overflow', 'visible');
-              scrollBody.css('overflow', 'visible');
-              scrollTable.css('overflow-x', 'scroll');
-            } else {
-              scrollHead.css('overflow', cssOverflowHead);
-              scrollBody.css('overflow', cssOverflowBody);
-              scrollTable.css('overflow-x', cssOverflowTable);
-            }
-          });
-          $x.css('z-index', 25);
-        }
-
-        if (inArray(type, ['factor', 'logical'])) {
-          $input.on({
-            click: function() {
-              $input.parent().hide(); $x.show().trigger('show'); filter[0].selectize.focus();
-            },
-            input: function() {
-              var v1 = JSON.stringify(filter[0].selectize.getValue()), v2 = $input.val();
-              if (v1 === '[]') v1 = '';
-              if (v1 !== v2) filter[0].selectize.setValue(v2 === '' ? [] : JSON.parse(v2));
-            }
-          });
-          var $input2 = $x.children('select');
-          filter = $input2.selectize($.extend({
-            options: $input2.data('options').map(function(v, i) {
-              return ({text: v, value: v});
-            }),
-            plugins: ['remove_button'],
-            hideSelected: true,
-            onChange: function(value) {
-              if (value === null) value = []; // compatibility with jQuery 3.0
-              $input.val(value.length ? JSON.stringify(value) : '');
-              if (value.length) $input.trigger('input');
-              $input.attr('title', $input.val());
-              if (server) {
-                searchColumn(i, value.length ? JSON.stringify(value) : '').draw();
-                return;
-              }
-              // turn off filter if nothing selected
-              $td.data('filter', value.length > 0);
-              table.draw();  // redraw table, and filters will be applied
-            }
-          }, data.filterSettings.select));
-          filter[0].selectize.on('blur', function() {
-            $x.hide().trigger('hide'); $input.parent().show(); $input.trigger('blur');
-          });
-          filter.next('div').css('margin-bottom', 'auto');
-        } else if (type === 'character') {
-          var fun = function() {
-            searchColumn(i, $input.val()).draw();
-          };
-          // throttle searching for server-side processing
-          var throttledFun = $.fn.dataTable.util.throttle(fun, options.searchDelay);
-          $input.on('input', function(e, immediate) {
-            // always bypass throttling when immediate = true (via the updateSearch method)
-            (immediate || !server) ? fun() : throttledFun();
-          });
-        } else if (inArray(type, ['number', 'integer', 'date', 'time'])) {
-          var $x0 = $x;
-          $x = $x0.children('div').first();
-          $x0.css({
-            'background-color': '#fff',
-            'border': '1px #ddd solid',
-            'border-radius': '4px',
-            'padding': data.vertical ? '35px 20px': '20px 20px 10px 20px'
-          });
-          var $spans = $x0.children('span').css({
-            'margin-top': data.vertical ? '0' : '10px',
-            'white-space': 'nowrap'
-          });
-          var $span1 = $spans.first(), $span2 = $spans.last();
-          var r1 = +$x.data('min'), r2 = +$x.data('max');
-          // when the numbers are too small or have many decimal places, the
-          // slider may have numeric precision problems (#150)
-          var scale = Math.pow(10, Math.max(0, +$x.data('scale') || 0));
-          r1 = Math.round(r1 * scale); r2 = Math.round(r2 * scale);
-          var scaleBack = function(x, scale) {
-            if (scale === 1) return x;
-            var d = Math.round(Math.log(scale) / Math.log(10));
-            // to avoid problems like 3.423/100 -> 0.034230000000000003
-            return (x / scale).toFixed(d);
-          };
-          var slider_min = function() {
-            return filter.noUiSlider('options').range.min;
-          };
-          var slider_max = function() {
-            return filter.noUiSlider('options').range.max;
-          };
-          $input.on({
-            focus: function() {
-              $x0.show().trigger('show');
-              // first, make sure the slider div leaves at least 20px between
-              // the two (slider value) span's
-              $x0.width(Math.max(160, $span1.outerWidth() + $span2.outerWidth() + 20));
-              // then, if the input is really wide or slider is vertical,
-              // make the slider the same width as the input
-              if ($x0.outerWidth() < $input.outerWidth() || data.vertical) {
-                $x0.outerWidth($input.outerWidth());
-              }
-              // make sure the slider div does not reach beyond the right margin
-              if ($(window).width() < $x0.offset().left + $x0.width()) {
-                $x0.offset({
-                  'left': $input.offset().left + $input.outerWidth() - $x0.outerWidth()
-                });
-              }
-            },
-            blur: function() {
-              $x0.hide().trigger('hide');
-            },
-            input: function() {
-              if ($input.val() === '') filter.val([slider_min(), slider_max()]);
-            },
-            change: function() {
-              var v = $input.val().replace(/\s/g, '');
-              if (v === '') return;
-              v = v.split('...');
-              if (v.length !== 2) {
-                $input.parent().addClass('has-error');
-                return;
-              }
-              if (v[0] === '') v[0] = slider_min();
-              if (v[1] === '') v[1] = slider_max();
-              $input.parent().removeClass('has-error');
-              // treat date as UTC time at midnight
-              var strTime = function(x) {
-                var s = type === 'date' ? 'T00:00:00Z' : '';
-                var t = new Date(x + s).getTime();
-                // add 10 minutes to date since it does not hurt the date, and
-                // it helps avoid the tricky floating point arithmetic problems,
-                // e.g. sometimes the date may be a few milliseconds earlier
-                // than the midnight due to precision problems in noUiSlider
-                return type === 'date' ? t + 3600000 : t;
-              };
-              if (inArray(type, ['date', 'time'])) {
-                v[0] = strTime(v[0]);
-                v[1] = strTime(v[1]);
-              }
-              if (v[0] != slider_min()) v[0] *= scale;
-              if (v[1] != slider_max()) v[1] *= scale;
-              filter.val(v);
-            }
-          });
-          var formatDate = function(d) {
-            d = scaleBack(d, scale);
-            if (type === 'number') return d;
-            if (type === 'integer') return parseInt(d);
-            var x = new Date(+d);
-            if (type === 'date') {
-              var pad0 = function(x) {
-                return ('0' + x).substr(-2, 2);
-              };
-              return x.getUTCFullYear() + '-' + pad0(1 + x.getUTCMonth())
-                      + '-' + pad0(x.getUTCDate());
-            } else {
-              return x.toISOString();
-            }
-          };
-          var opts = type === 'date' ? { step: 60 * 60 * 1000 } :
-                     type === 'integer' ? { step: 1 } : {};
-
-          opts.orientation = data.vertical ? 'vertical': 'horizontal';
-          opts.direction = data.vertical ? 'rtl': 'ltr';
-
-          filter = $x.noUiSlider($.extend({
-            start: [r1, r2],
-            range: {min: r1, max: r2},
-            connect: true
-          }, opts, data.filterSettings.slider));
-          if (scale > 1) (function() {
-            var t1 = r1, t2 = r2;
-            var val = filter.val();
-            while (val[0] > r1 || val[1] < r2) {
-              if (val[0] > r1) {
-                t1 -= val[0] - r1;
-              }
-              if (val[1] < r2) {
-                t2 += r2 - val[1];
-              }
-              filter = $x.noUiSlider($.extend({
-                start: [t1, t2],
-                range: {min: t1, max: t2},
-                connect: true
-              }, opts, data.filterSettings.slider), true);
-              val = filter.val();
-            }
-            r1  = t1; r2 = t2;
-          })();
-          // format with active column renderer, if defined
-          var colDef = data.options.columnDefs.find(function(def) {
-            return (def.targets === i || inArray(i, def.targets)) && 'render' in def;
-          });
-          var updateSliderText = function(v1, v2) {
-            // we only know how to use function renderers
-            if (colDef && typeof colDef.render === 'function') {
-              var restore = function(v) {
-                v = scaleBack(v, scale);
-                return inArray(type, ['date', 'time']) ? new Date(+v) : v;
-              }
-              $span1.text(colDef.render(restore(v1), 'display'));
-              $span2.text(colDef.render(restore(v2), 'display'));
-            } else {
-              $span1.text(formatDate(v1));
-              $span2.text(formatDate(v2));
-            }
-          };
-          updateSliderText(r1, r2);
-          var updateSlider = function(e) {
-            var val = filter.val();
-            // turn off filter if in full range
-            $td.data('filter', val[0] > slider_min() || val[1] < slider_max());
-            var v1 = formatDate(val[0]), v2 = formatDate(val[1]), ival;
-            if ($td.data('filter')) {
-              ival = v1 + ' ... ' + v2;
-              $input.attr('title', ival).val(ival).trigger('input');
-            } else {
-              $input.attr('title', '').val('');
-            }
-            updateSliderText(val[0], val[1]);
-            if (e.type === 'slide') return;  // no searching when sliding only
-            if (server) {
-              searchColumn(i, $td.data('filter') ? ival : '').draw();
-              return;
-            }
-            table.draw();
-          };
-          filter.on({
-            set: updateSlider,
-            slide: updateSlider
-          });
-        }
-
-        // server-side processing will be handled by R (or whatever server
-        // language you use); the following code is only needed for client-side
-        // processing
-        if (server) {
-          // if a search string has been pre-set, search now
-          if (searchCol) $input.trigger('input').trigger('change');
-          return;
-        }
-
-        var customFilter = function(settings, data, dataIndex) {
-          // there is no way to attach a search function to a specific table,
-          // and we need to make sure a global search function is not applied to
-          // all tables (i.e. a range filter in a previous table should not be
-          // applied to the current table); we use the settings object to
-          // determine if we want to perform searching on the current table,
-          // since settings.sTableId will be different to different tables
-          if (table.settings()[0] !== settings) return true;
-          // no filter on this column or no need to filter this column
-          if (typeof filter === 'undefined' || !$td.data('filter')) return true;
-
-          var r = filter.val(), v, r0, r1;
-          var i_data = function(i) {
-            if (!colReorderEnabled()) return i;
-            var order = table.colReorder.order(), k;
-            for (k = 0; k < order.length; ++k) if (order[k] === i) return k;
-            return i; // in theory it will never be here...
-          }
-          v = data[i_data(i)];
-          if (type === 'number' || type === 'integer') {
-            v = parseFloat(v);
-            // how to handle NaN? currently exclude these rows
-            if (isNaN(v)) return(false);
-            r0 = parseFloat(scaleBack(r[0], scale))
-            r1 = parseFloat(scaleBack(r[1], scale));
-            if (v >= r0 && v <= r1) return true;
-          } else if (type === 'date' || type === 'time') {
-            v = new Date(v);
-            r0 = new Date(r[0] / scale); r1 = new Date(r[1] / scale);
-            if (v >= r0 && v <= r1) return true;
-          } else if (type === 'factor') {
-            if (r.length === 0 || inArray(v, r)) return true;
-          } else if (type === 'logical') {
-            if (r.length === 0) return true;
-            if (inArray(v === '' ? 'na' : v, r)) return true;
-          }
-          return false;
-        };
-
-        $.fn.dataTable.ext.search.push(customFilter);
-
-        // search for the preset search strings if it is non-empty
-        if (searchCol) $input.trigger('input').trigger('change');
-
-      });
-
-    }
-
-    // highlight search keywords
-    var highlight = function() {
-      var body = $(table.table().body());
-      // removing the old highlighting first
-      body.unhighlight();
-
-      // don't highlight the "not found" row, so we get the rows using the api
-      if (table.rows({ filter: 'applied' }).data().length === 0) return;
-      // highlight global search keywords
-      body.highlight($.trim(table.search()).split(/\s+/));
-      // then highlight keywords from individual column filters
-      if (filterRow) filterRow.each(function(i, td) {
-        var $td = $(td), type = $td.data('type');
-        if (type !== 'character') return;
-        var $input = $td.children('div').first().children('input');
-        var column = table.column(i).nodes().to$(),
-            val = $.trim($input.val());
-        if (type !== 'character' || val === '') return;
-        column.highlight(val.split(/\s+/));
-      });
-    };
-
-    if (options.searchHighlight) {
-      table
-      .on('draw.dt.dth column-visibility.dt.dth column-reorder.dt.dth', highlight)
-      .on('destroy', function() {
-        // remove event handler
-        table.off('draw.dt.dth column-visibility.dt.dth column-reorder.dt.dth');
-      });
-
-      // Set the option for escaping regex characters in our search string.  This will be used
-      // for all future matching.
-      jQuery.fn.highlight.options.escapeRegex = (!options.search || !options.search.regex);
-
-      // initial highlight for state saved conditions and initial states
-      highlight();
-    }
-
-    // run the callback function on the table instance
-    if (typeof data.callback === 'function') data.callback(table);
-
-    // double click to edit the cell, row, column, or all cells
-    if (data.editable) table.on('dblclick.dt', 'tbody td', function(e) {
-      // only bring up the editor when the cell itself is dbclicked, and ignore
-      // other dbclick events bubbled up (e.g. from the <input>)
-      if (e.target !== this) return;
-      var target = [], immediate = false;
-      switch (data.editable.target) {
-        case 'cell':
-          target = [this];
-          immediate = true;  // edit will take effect immediately
-          break;
-        case 'row':
-          target = table.cells(table.cell(this).index().row, '*').nodes();
-          break;
-        case 'column':
-          target = table.cells('*', table.cell(this).index().column).nodes();
-          break;
-        case 'all':
-          target = table.cells().nodes();
-          break;
-        default:
-          throw 'The editable parameter must be "cell", "row", "column", or "all"';
-      }
-      var disableCols = data.editable.disable ? data.editable.disable.columns : null;
-      var numericCols = data.editable.numeric;
-      var areaCols = data.editable.area;
-      var dateCols = data.editable.date;
-      for (var i = 0; i < target.length; i++) {
-        (function(cell, current) {
-          var $cell = $(cell), html = $cell.html();
-          var _cell = table.cell(cell), value = _cell.data(), index = _cell.index().column;
-          var $input;
-          if (inArray(index, numericCols)) {
-            $input = $('<input type="number">');
-          } else if (inArray(index, areaCols)) {
-            $input = $('<textarea></textarea>');
-          } else if (inArray(index, dateCols)) {
-            $input = $('<input type="date">');
-          } else {
-            $input = $('<input type="text">');
-          }
-          if (!immediate) {
-            $cell.data('input', $input).data('html', html);
-            $input.attr('title', 'Hit Ctrl+Enter to finish editing, or Esc to cancel');
-          }
-          $input.val(value);
-          if (inArray(index, disableCols)) {
-            $input.attr('readonly', '').css('filter', 'invert(25%)');
-          }
-          $cell.empty().append($input);
-          if (cell === current) $input.focus();
-          $input.css('width', '100%');
-
-          if (immediate) $input.on('blur', function(e) {
-            var valueNew = $input.val();
-            if (valueNew !== value) {
-              _cell.data(valueNew);
-              if (HTMLWidgets.shinyMode) {
-                changeInput('cell_edit', [cellInfo(cell)], 'DT.cellInfo', null, {priority: 'event'});
-              }
-              // for server-side processing, users have to call replaceData() to update the table
-              if (!server) table.draw(false);
-            } else {
-              $cell.html(html);
-            }
-          }).on('keyup', function(e) {
-            // hit Escape to cancel editing
-            if (e.keyCode === 27) $input.trigger('blur');
-          });
-
-          // bulk edit (row, column, or all)
-          if (!immediate) $input.on('keyup', function(e) {
-            var removeInput = function($cell, restore) {
-              $cell.data('input').remove();
-              if (restore) $cell.html($cell.data('html'));
-            }
-            if (e.keyCode === 27) {
-              for (var i = 0; i < target.length; i++) {
-                removeInput($(target[i]), true);
-              }
-            } else if (e.keyCode === 13 && e.ctrlKey) {
-              // Ctrl + Enter
-              var cell, $cell, _cell, cellData = [];
-              for (var i = 0; i < target.length; i++) {
-                cell = target[i]; $cell = $(cell); _cell = table.cell(cell);
-                _cell.data($cell.data('input').val());
-                HTMLWidgets.shinyMode && cellData.push(cellInfo(cell));
-                removeInput($cell, false);
-              }
-              if (HTMLWidgets.shinyMode) {
-                changeInput('cell_edit', cellData, 'DT.cellInfo', null, {priority: "event"});
-              }
-              if (!server) table.draw(false);
-            }
-          });
-        })(target[i], this);
-      }
-    });
-
-    // interaction with shiny
-    if (!HTMLWidgets.shinyMode && !crosstalkOptions.group) return;
-
-    var methods = {};
-    var shinyData = {};
-
-    methods.updateCaption = function(caption) {
-      if (!caption) return;
-      $table.children('caption').replaceWith(caption);
-    }
-
-    // register clear functions to remove input values when the table is removed
-    instance.clearInputs = {};
-
-    var changeInput = function(id, value, type, noCrosstalk, opts) {
-      var event = id;
-      id = el.id + '_' + id;
-      if (type) id = id + ':' + type;
-      // do not update if the new value is the same as old value
-      if (event !== 'cell_edit' && !/_clicked$/.test(event) && shinyData.hasOwnProperty(id) && shinyData[id] === JSON.stringify(value))
-        return;
-      shinyData[id] = JSON.stringify(value);
-      if (HTMLWidgets.shinyMode && Shiny.setInputValue) {
-        Shiny.setInputValue(id, value, opts);
-        if (!instance.clearInputs[id]) instance.clearInputs[id] = function() {
-          Shiny.setInputValue(id, null);
-        }
-      }
-
-      // HACK
-      if (event === "rows_selected" && !noCrosstalk) {
-        if (crosstalkOptions.group) {
-          var keys = crosstalkOptions.key;
-          var selectedKeys = null;
-          if (value) {
-            selectedKeys = [];
-            for (var i = 0; i < value.length; i++) {
-              // The value array's contents use 1-based row numbers, so we must
-              // convert to 0-based before indexing into the keys array.
-              selectedKeys.push(keys[value[i] - 1]);
-            }
-          }
-          instance.ctselectHandle.set(selectedKeys);
-        }
-      }
-    };
-
-    var addOne = function(x) {
-      return x.map(function(i) { return 1 + i; });
-    };
-
-    var unique = function(x) {
-      var ux = [];
-      $.each(x, function(i, el){
-        if ($.inArray(el, ux) === -1) ux.push(el);
-      });
-      return ux;
-    }
-
-    // change the row index of a cell
-    var tweakCellIndex = function(cell) {
-      var info = cell.index();
-      // some cell may not be valid. e.g, #759
-      // when using the RowGroup extension, datatables will
-      // generate the row label and the cells are not part of
-      // the data thus contain no row/col info
-      if (info === undefined)
-        return {row: null, col: null};
-      if (server) {
-        info.row = DT_rows_current[info.row];
-      } else {
-        info.row += 1;
-      }
-      return {row: info.row, col: info.column};
-    }
-
-    var cleanSelectedValues = function() {
-      changeInput('rows_selected', []);
-      changeInput('columns_selected', []);
-      changeInput('cells_selected', transposeArray2D([]), 'shiny.matrix');
-    }
-    // #828 we should clean the selection on the server-side when the table reloads
-    cleanSelectedValues();
-
-    // a flag to indicates if select extension is initialized or not
-    var flagSelectExt = table.settings()[0]._select !== undefined;
-    // the Select extension should only be used in the client mode and
-    // when the selection.mode is set to none
-    if (data.selection.mode === 'none' && !server && flagSelectExt) {
-      var updateRowsSelected = function() {
-        var rows = table.rows({selected: true});
-        var selected = [];
-        $.each(rows.indexes().toArray(), function(i, v) {
-          selected.push(v + 1);
-        });
-        changeInput('rows_selected', selected);
-      }
-      var updateColsSelected = function() {
-        var columns = table.columns({selected: true});
-        changeInput('columns_selected', columns.indexes().toArray());
-      }
-      var updateCellsSelected = function() {
-        var cells = table.cells({selected: true});
-        var selected = [];
-        cells.every(function() {
-          var row = this.index().row;
-          var col = this.index().column;
-          selected = selected.concat([[row + 1, col]]);
-        });
-        changeInput('cells_selected', transposeArray2D(selected), 'shiny.matrix');
-      }
-      table.on('select deselect', function(e, dt, type, indexes) {
-        updateRowsSelected();
-        updateColsSelected();
-        updateCellsSelected();
-      })
-    }
-
-    var selMode = data.selection.mode, selTarget = data.selection.target;
-    var selDisable = data.selection.selectable === false;
-    if (inArray(selMode, ['single', 'multiple'])) {
-      var selClass = inArray(data.style, ['bootstrap', 'bootstrap4']) ? 'active' : 'selected';
-      // selected1: row indices; selected2: column indices
-      var initSel = function(x) {
-        if (x === null || typeof x === 'boolean' || selTarget === 'cell') {
-          return {rows: [], cols: []};
-        } else if (selTarget === 'row') {
-          return {rows: $.makeArray(x), cols: []};
-        } else if (selTarget === 'column') {
-          return {rows: [], cols: $.makeArray(x)};
-        } else if (selTarget === 'row+column') {
-          return {rows: $.makeArray(x.rows), cols: $.makeArray(x.cols)};
-        }
-      }
-      var selected = data.selection.selected;
-      var selected1 = initSel(selected).rows, selected2 = initSel(selected).cols;
-      // selectable should contain either all positive or all non-positive values, not both
-      // positive values indicate "selectable" while non-positive values means "nonselectable"
-      // the assertion is performed on R side. (only column indicides could be zero which indicates
-      // the row name)
-      var selectable = data.selection.selectable;
-      var selectable1 = initSel(selectable).rows, selectable2 = initSel(selectable).cols;
-
-      // After users reorder the rows or filter the table, we cannot use the table index
-      // directly. Instead, we need this function to find out the rows between the two clicks.
-      // If user filter the table again between the start click and the end click, the behavior
-      // would be undefined, but it should not be a problem.
-      var shiftSelRowsIndex = function(start, end) {
-        var indexes = server ? DT_rows_all : table.rows({ search: 'applied' }).indexes().toArray();
-        start = indexes.indexOf(start); end = indexes.indexOf(end);
-        // if start is larger than end, we need to swap
-        if (start > end) {
-          var tmp = end; end = start; start = tmp;
-        }
-        return indexes.slice(start, end + 1);
-      }
-
-      var serverRowIndex = function(clientRowIndex) {
-        return server ? DT_rows_current[clientRowIndex] : clientRowIndex + 1;
-      }
-
-      // row, column, or cell selection
-      var lastClickedRow;
-      if (inArray(selTarget, ['row', 'row+column'])) {
-        // Get the current selected rows. It will also
-        // update the selected1's value based on the current row selection state
-        // Note we can't put this function inside selectRows() directly,
-        // the reason is method.selectRows() will override selected1's value but this
-        // function will add rows to selected1 (keep the existing selection), which is
-        // inconsistent with column and cell selection.
-        var selectedRows = function() {
-          var rows = table.rows('.' + selClass);
-          var idx = rows.indexes().toArray();
-          if (!server) {
-            selected1 = addOne(idx);
-            return selected1;
-          }
-          idx = idx.map(function(i) {
-            return DT_rows_current[i];
-          });
-          selected1 = selMode === 'multiple' ? unique(selected1.concat(idx)) : idx;
-          return selected1;
-        }
-        // Change selected1's value based on selectable1, then refresh the row state
-        var onlyKeepSelectableRows = function() {
-          if (selDisable) { // users can't select; useful when only want backend select
-            selected1 = [];
-            return;
-          }
-          if (selectable1.length === 0) return;
-          var nonselectable = selectable1[0] <= 0;
-          if (nonselectable) {
-            // should make selectable1 positive
-            selected1 = $(selected1).not(selectable1.map(function(i) { return -i; })).get();
-          } else {
-            selected1 = $(selected1).filter(selectable1).get();
-          }
-        }
-        // Change selected1's value based on selectable1, then
-        // refresh the row selection state according to values in selected1
-        var selectRows = function(ignoreSelectable) {
-          if (!ignoreSelectable) onlyKeepSelectableRows();
-          table.$('tr.' + selClass).removeClass(selClass);
-          if (selected1.length === 0) return;
-          if (server) {
-            table.rows({page: 'current'}).every(function() {
-              if (inArray(DT_rows_current[this.index()], selected1)) {
-                $(this.node()).addClass(selClass);
-              }
-            });
-          } else {
-            var selected0 = selected1.map(function(i) { return i - 1; });
-            $(table.rows(selected0).nodes()).addClass(selClass);
-          }
-        }
-        table.on('mousedown.dt', 'tbody tr', function(e) {
-          var $this = $(this), thisRow = table.row(this);
-          if (selMode === 'multiple') {
-            if (e.shiftKey && lastClickedRow !== undefined) {
-              // select or de-select depends on the last clicked row's status
-              var flagSel = !$this.hasClass(selClass);
-              var crtClickedRow = serverRowIndex(thisRow.index());
-              if (server) {
-                var rowsIndex = shiftSelRowsIndex(lastClickedRow, crtClickedRow);
-                // update current page's selClass
-                rowsIndex.map(function(i) {
-                  var rowIndex = DT_rows_current.indexOf(i);
-                  if (rowIndex >= 0) {
-                    var row = table.row(rowIndex).nodes().to$();
-                    var flagRowSel = !row.hasClass(selClass);
-                    if (flagSel === flagRowSel) row.toggleClass(selClass);
-                  }
-                });
-                // update selected1
-                if (flagSel) {
-                  selected1 = unique(selected1.concat(rowsIndex));
-                } else {
-                  selected1 = selected1.filter(function(index) {
-                    return !inArray(index, rowsIndex);
-                  });
-                }
-              } else {
-                // js starts from 0
-                shiftSelRowsIndex(lastClickedRow - 1, crtClickedRow - 1).map(function(value) {
-                  var row = table.row(value).nodes().to$();
-                  var flagRowSel = !row.hasClass(selClass);
-                  if (flagSel === flagRowSel) row.toggleClass(selClass);
-                });
-              }
-              e.preventDefault();
-            } else {
-              $this.toggleClass(selClass);
-            }
-          } else {
-            if ($this.hasClass(selClass)) {
-              $this.removeClass(selClass);
-            } else {
-              table.$('tr.' + selClass).removeClass(selClass);
-              $this.addClass(selClass);
-            }
-          }
-          if (server && !$this.hasClass(selClass)) {
-            var id = DT_rows_current[thisRow.index()];
-            // remove id from selected1 since its class .selected has been removed
-            if (inArray(id, selected1)) selected1.splice($.inArray(id, selected1), 1);
-          }
-          selectedRows(); // update selected1's value based on selClass
-          selectRows(false); // only keep the selectable rows
-          changeInput('rows_selected', selected1);
-          changeInput('row_last_clicked', serverRowIndex(thisRow.index()), null, null, {priority: 'event'});
-          lastClickedRow = serverRowIndex(thisRow.index());
-        });
-        selectRows(false);  // in case users have specified pre-selected rows
-        // restore selected rows after the table is redrawn (e.g. sort/search/page);
-        // client-side tables will preserve the selections automatically; for
-        // server-side tables, we have to *real* row indices are in `selected1`
-        changeInput('rows_selected', selected1);
-        if (server) table.on('draw.dt', function(e) { selectRows(false); });
-        methods.selectRows = function(selected, ignoreSelectable) {
-          selected1 = $.makeArray(selected);
-          selectRows(ignoreSelectable);
-          changeInput('rows_selected', selected1);
-        }
-      }
-
-      if (inArray(selTarget, ['column', 'row+column'])) {
-        if (selTarget === 'row+column') {
-          $(table.columns().footer()).css('cursor', 'pointer');
-        }
-        // update selected2's value based on selectable2
-        var onlyKeepSelectableCols = function() {
-          if (selDisable) { // users can't select; useful when only want backend select
-            selected2 = [];
-            return;
-          }
-          if (selectable2.length === 0) return;
-          var nonselectable = selectable2[0] <= 0;
-          if (nonselectable) {
-            // need to make selectable2 positive
-            selected2 = $(selected2).not(selectable2.map(function(i) { return -i; })).get();
-          } else {
-            selected2 = $(selected2).filter(selectable2).get();
-          }
-        }
-        // update selected2 and then
-        // refresh the col selection state according to values in selected2
-        var selectCols = function(ignoreSelectable) {
-          if (!ignoreSelectable) onlyKeepSelectableCols();
-          // if selected2 is not a valide index (e.g., larger than the column number)
-          // table.columns(selected2) will fail and result in a blank table
-          // this is different from the table.rows(), where the out-of-range indexes
-          // doesn't affect at all
-          selected2 = $(selected2).filter(table.columns().indexes()).get();
-          table.columns().nodes().flatten().to$().removeClass(selClass);
-          if (selected2.length > 0)
-            table.columns(selected2).nodes().flatten().to$().addClass(selClass);
-        }
-        var callback = function() {
-          var colIdx = selTarget === 'column' ? table.cell(this).index().column :
-              $.inArray(this, table.columns().footer()),
-              thisCol = $(table.column(colIdx).nodes());
-          if (colIdx === -1) return;
-          if (thisCol.hasClass(selClass)) {
-            thisCol.removeClass(selClass);
-            selected2.splice($.inArray(colIdx, selected2), 1);
-          } else {
-            if (selMode === 'single') $(table.cells().nodes()).removeClass(selClass);
-            thisCol.addClass(selClass);
-            selected2 = selMode === 'single' ? [colIdx] : unique(selected2.concat([colIdx]));
-          }
-          selectCols(false); // update selected2 based on selectable
-          changeInput('columns_selected', selected2);
-        }
-        if (selTarget === 'column') {
-          $(table.table().body()).on('click.dt', 'td', callback);
-        } else {
-          $(table.table().footer()).on('click.dt', 'tr th', callback);
-        }
-        selectCols(false);  // in case users have specified pre-selected columns
-        changeInput('columns_selected', selected2);
-        if (server) table.on('draw.dt', function(e) { selectCols(false); });
-        methods.selectColumns = function(selected, ignoreSelectable) {
-          selected2 = $.makeArray(selected);
-          selectCols(ignoreSelectable);
-          changeInput('columns_selected', selected2);
-        }
-      }
-
-      if (selTarget === 'cell') {
-        var selected3 = [], selectable3 = [];
-        if (selected !== null) selected3 = selected;
-        if (selectable !== null && typeof selectable !== 'boolean') selectable3 = selectable;
-        var findIndex = function(ij, sel) {
-          for (var i = 0; i < sel.length; i++) {
-            if (ij[0] === sel[i][0] && ij[1] === sel[i][1]) return i;
-          }
-          return -1;
-        }
-         // Change selected3's value based on selectable3, then refresh the cell state
-        var onlyKeepSelectableCells = function() {
-          if (selDisable) { // users can't select; useful when only want backend select
-            selected3 = [];
-            return;
-          }
-          if (selectable3.length === 0) return;
-          var nonselectable = selectable3[0][0] <= 0;
-          var out = [];
-          if (nonselectable) {
-            selected3.map(function(ij) {
-              // should make selectable3 positive
-              if (findIndex([-ij[0], -ij[1]], selectable3) === -1) { out.push(ij); }
-            });
-          } else {
-            selected3.map(function(ij) {
-              if (findIndex(ij, selectable3) > -1) { out.push(ij); }
-            });
-          }
-          selected3 = out;
-        }
-        // Change selected3's value based on selectable3, then
-        // refresh the cell selection state according to values in selected3
-        var selectCells = function(ignoreSelectable) {
-          if (!ignoreSelectable) onlyKeepSelectableCells();
-          table.$('td.' + selClass).removeClass(selClass);
-          if (selected3.length === 0) return;
-          if (server) {
-            table.cells({page: 'current'}).every(function() {
-              var info = tweakCellIndex(this);
-              if (findIndex([info.row, info.col], selected3) > -1)
-                $(this.node()).addClass(selClass);
-            });
-          } else {
-            selected3.map(function(ij) {
-              $(table.cell(ij[0] - 1, ij[1]).node()).addClass(selClass);
-            });
-          }
-        };
-        table.on('click.dt', 'tbody td', function() {
-          var $this = $(this), info = tweakCellIndex(table.cell(this));
-          if ($this.hasClass(selClass)) {
-            $this.removeClass(selClass);
-            selected3.splice(findIndex([info.row, info.col], selected3), 1);
-          } else {
-            if (selMode === 'single') $(table.cells().nodes()).removeClass(selClass);
-            $this.addClass(selClass);
-            selected3 = selMode === 'single' ? [[info.row, info.col]] :
-              unique(selected3.concat([[info.row, info.col]]));
-          }
-          selectCells(false); // must call this to update selected3 based on selectable3
-          changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix');
-        });
-        selectCells(false);  // in case users have specified pre-selected columns
-        changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix');
-
-        if (server) table.on('draw.dt', function(e) { selectCells(false); });
-        methods.selectCells = function(selected, ignoreSelectable) {
-          selected3 = selected ? selected : [];
-          selectCells(ignoreSelectable);
-          changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix');
-        }
-      }
-    }
-
-    // expose some table info to Shiny
-    var updateTableInfo = function(e, settings) {
-      // TODO: is anyone interested in the page info?
-      // changeInput('page_info', table.page.info());
-      var updateRowInfo = function(id, modifier) {
-        var idx;
-        if (server) {
-          idx = modifier.page === 'current' ? DT_rows_current : DT_rows_all;
-        } else {
-          var rows = table.rows($.extend({
-            search: 'applied',
-            page: 'all'
-          }, modifier));
-          idx = addOne(rows.indexes().toArray());
-        }
-        changeInput('rows' + '_' + id, idx);
-      };
-      updateRowInfo('current', {page: 'current'});
-      updateRowInfo('all', {});
-    }
-    table.on('draw.dt', updateTableInfo);
-    updateTableInfo();
-
-    // state info
-    table.on('draw.dt column-visibility.dt', function() {
-      changeInput('state', table.state());
-    });
-    changeInput('state', table.state());
-
-    // search info
-    var updateSearchInfo = function() {
-      changeInput('search', table.search());
-      if (filterRow) changeInput('search_columns', filterRow.toArray().map(function(td) {
-        return $(td).find('input').first().val();
-      }));
-    }
-    table.on('draw.dt', updateSearchInfo);
-    updateSearchInfo();
-
-    var cellInfo = function(thiz) {
-      var info = tweakCellIndex(table.cell(thiz));
-      info.value = table.cell(thiz).data();
-      return info;
-    }
-    // the current cell clicked on
-    table.on('click.dt', 'tbody td', function() {
-      changeInput('cell_clicked', cellInfo(this), null, null, {priority: 'event'});
-    })
-    changeInput('cell_clicked', {});
-
-    // do not trigger table selection when clicking on links unless they have classes
-    table.on('mousedown.dt', 'tbody td a', function(e) {
-      if (this.className === '') e.stopPropagation();
-    });
-
-    methods.addRow = function(data, rowname, resetPaging) {
-      var n = table.columns().indexes().length, d = n - data.length;
-      if (d === 1) {
-        data = rowname.concat(data)
-      } else if (d !== 0) {
-        console.log(data);
-        console.log(table.columns().indexes());
-        throw 'New data must be of the same length as current data (' + n + ')';
-      };
-      table.row.add(data).draw(resetPaging);
-    }
-
-    methods.updateSearch = function(keywords) {
-      if (keywords.global !== null)
-        $(table.table().container()).find('input[type=search]').first()
-             .val(keywords.global).trigger('input');
-      var columns = keywords.columns;
-      if (!filterRow || columns === null) return;
-      filterRow.toArray().map(function(td, i) {
-        var v = typeof columns === 'string' ? columns : columns[i];
-        if (typeof v === 'undefined') {
-          console.log('The search keyword for column ' + i + ' is undefined')
-          return;
-        }
-        // Update column search string and values on linked filter widgets.
-        // 'input' for factor and char filters, 'change' for numeric filters.
-        $(td).find('input').first().val(v).trigger('input', [true]).trigger('change');
-      });
-      table.draw();
-    }
-
-    methods.hideCols = function(hide, reset) {
-      if (reset) table.columns().visible(true, false);
-      table.columns(hide).visible(false);
-    }
-
-    methods.showCols = function(show, reset) {
-      if (reset) table.columns().visible(false, false);
-      table.columns(show).visible(true);
-    }
-
-    methods.colReorder = function(order, origOrder) {
-      table.colReorder.order(order, origOrder);
-    }
-
-    methods.selectPage = function(page) {
-      if (table.page.info().pages < page || page < 1) {
-        throw 'Selected page is out of range';
-      };
-      table.page(page - 1).draw(false);
-    }
-
-    methods.reloadData = function(resetPaging, clearSelection) {
-      // empty selections first if necessary
-      if (methods.selectRows && inArray('row', clearSelection)) methods.selectRows([]);
-      if (methods.selectColumns && inArray('column', clearSelection)) methods.selectColumns([]);
-      if (methods.selectCells && inArray('cell', clearSelection)) methods.selectCells([]);
-      table.ajax.reload(null, resetPaging);
-    }
-
-    // update table filters (set new limits of sliders)
-    methods.updateFilters = function(newProps) {
-      // loop through each filter in the filter row
-      filterRow.each(function(i, td) {
-        var k = i;
-        if (filterRow.length > newProps.length) {
-          if (i === 0) return;  // first column is row names
-          k = i - 1;
-        }
-        // Update the filters to reflect the updated data.
-        // Allow "falsy" (e.g. NULL) to signify a no-op.
-        if (newProps[k]) {
-          setFilterProps(td, newProps[k]);
-        }
-      });
-    };
-
-    table.shinyMethods = methods;
-  },
-  resize: function(el, width, height, instance) {
-    if (instance.data) this.renderValue(el, instance.data, instance);
-
-    // dynamically adjust height if fillContainer = TRUE
-    if (instance.fillContainer)
-      this.fillAvailableHeight(el, height);
-
-    this.adjustWidth(el);
-  },
-
-  // dynamically set the scroll body to fill available height
-  // (used with fillContainer = TRUE)
-  fillAvailableHeight: function(el, availableHeight) {
-
-    // see how much of the table is occupied by header/footer elements
-    // and use that to compute a target scroll body height
-    var dtWrapper = $(el).find('div.dataTables_wrapper');
-    var dtScrollBody = $(el).find($('div.dataTables_scrollBody'));
-    var framingHeight = dtWrapper.innerHeight() - dtScrollBody.innerHeight();
-    var scrollBodyHeight = availableHeight - framingHeight;
-
-    // we need to set `max-height` to none as datatables library now sets this
-    // to a fixed height, disabling the ability to resize to fill the window,
-    // as it will be set to a fixed 100px under such circumstances, e.g., RStudio IDE,
-    // or FlexDashboard
-    // see https://github.com/rstudio/DT/issues/951#issuecomment-1026464509
-    dtScrollBody.css('max-height', 'none');
-    // set the height
-    dtScrollBody.height(scrollBodyHeight + 'px');
-  },
-
-  // adjust the width of columns; remove the hard-coded widths on table and the
-  // scroll header when scrollX/Y are enabled
-  adjustWidth: function(el) {
-    var $el = $(el), table = $el.data('datatable');
-    if (table) table.columns.adjust();
-    $el.find('.dataTables_scrollHeadInner').css('width', '')
-        .children('table').css('margin-left', '');
-  }
-});
-
-  if (!HTMLWidgets.shinyMode) return;
-
-  Shiny.addCustomMessageHandler('datatable-calls', function(data) {
-    var id = data.id;
-    var el = document.getElementById(id);
-    var table = el ? $(el).data('datatable') : null;
-    if (!table) {
-      console.log("Couldn't find table with id " + id);
-      return;
-    }
-
-    var methods = table.shinyMethods, call = data.call;
-    if (methods[call.method]) {
-      methods[call.method].apply(table, call.args);
-    } else {
-      console.log("Unknown method " + call.method);
-    }
-  });
-
-})();
diff --git a/latest-tag/coverage-report/lib/datatables-css-0.0.0/datatables-crosstalk.css b/latest-tag/coverage-report/lib/datatables-css-0.0.0/datatables-crosstalk.css
deleted file mode 100644
index bd1159c8..00000000
--- a/latest-tag/coverage-report/lib/datatables-css-0.0.0/datatables-crosstalk.css
+++ /dev/null
@@ -1,32 +0,0 @@
-.dt-crosstalk-fade {
-  opacity: 0.2;
-}
-
-html body div.DTS div.dataTables_scrollBody {
-  background: none;
-}
-
-
-/*
-Fix https://github.com/rstudio/DT/issues/563
-If the `table.display` is set to "block" (e.g., pkgdown), the browser will display
-datatable objects strangely. The search panel and the page buttons will still be
-in full-width but the table body will be "compact" and shorter.
-In therory, having this attributes will affect `dom="t"`
-with `display: block` users. But in reality, there should be no one.
-We may remove the below lines in the future if the upstream agree to have this there.
-See https://github.com/DataTables/DataTablesSrc/issues/160
-*/
-
-table.dataTable {
-  display: table;
-}
-
-
-/*
-When DTOutput(fill = TRUE), it receives a .html-fill-item class (via htmltools::bindFillRole()), which effectively amounts to `flex: 1 1 auto`. That's mostly fine, but the case where `fillContainer=TRUE`+`height:auto`+`flex-basis:auto` and the container (e.g., a bslib::card()) doesn't have a defined height is a bit problematic since the table wants to fit the parent but the parent wants to fit the table, which results pretty small table height (maybe because there is a minimum height somewhere?). It seems better in this case to impose a 400px height default for the table, which we can do by setting `flex-basis` to 400px (the table is still allowed to grow/shrink when the container has an opinionated height).
-*/
-
-.html-fill-container > .html-fill-item.datatables {
-  flex-basis: 400px;
-}
diff --git a/latest-tag/coverage-report/lib/dt-core-1.13.6/css/jquery.dataTables.extra.css b/latest-tag/coverage-report/lib/dt-core-1.13.6/css/jquery.dataTables.extra.css
deleted file mode 100644
index b2dd141f..00000000
--- a/latest-tag/coverage-report/lib/dt-core-1.13.6/css/jquery.dataTables.extra.css
+++ /dev/null
@@ -1,28 +0,0 @@
-/* Selected rows/cells */
-table.dataTable tr.selected td, table.dataTable td.selected {
-  background-color: #b0bed9 !important;
-}
-/* In case of scrollX/Y or FixedHeader */
-.dataTables_scrollBody .dataTables_sizing {
-  visibility: hidden;
-}
-
-/* The datatables' theme CSS file doesn't define
-the color but with white background. It leads to an issue that
-when the HTML's body color is set to 'white', the user can't
-see the text since the background is white. One case happens in the
-RStudio's IDE when inline viewing the DT table inside an Rmd file,
-if the IDE theme is set to "Cobalt".
-
-See https://github.com/rstudio/DT/issues/447 for more info
-
-This fixes should have little side-effects because all the other elements
-of the default theme use the #333 font color.
-
-TODO: The upstream may use relative colors for both the table background
-and the color. It means the table can display well without this patch
-then. At that time, we need to remove the below CSS attributes.
-*/
-div.datatables {
-  color: #333;
-}
diff --git a/latest-tag/coverage-report/lib/dt-core-1.13.6/css/jquery.dataTables.min.css b/latest-tag/coverage-report/lib/dt-core-1.13.6/css/jquery.dataTables.min.css
deleted file mode 100644
index ad59f843..00000000
--- a/latest-tag/coverage-report/lib/dt-core-1.13.6/css/jquery.dataTables.min.css
+++ /dev/null
@@ -1 +0,0 @@
-:root{--dt-row-selected: 13, 110, 253;--dt-row-selected-text: 255, 255, 255;--dt-row-selected-link: 9, 10, 11;--dt-row-stripe: 0, 0, 0;--dt-row-hover: 0, 0, 0;--dt-column-ordering: 0, 0, 0;--dt-html-background: white}:root.dark{--dt-html-background: rgb(33, 37, 41)}table.dataTable td.dt-control{text-align:center;cursor:pointer}table.dataTable td.dt-control:before{display:inline-block;color:rgba(0, 0, 0, 0.5);content:"►"}table.dataTable tr.dt-hasChild td.dt-control:before{content:"▼"}html.dark table.dataTable td.dt-control:before{color:rgba(255, 255, 255, 0.5)}html.dark table.dataTable tr.dt-hasChild td.dt-control:before{color:rgba(255, 255, 255, 0.5)}table.dataTable thead>tr>th.sorting,table.dataTable thead>tr>th.sorting_asc,table.dataTable thead>tr>th.sorting_desc,table.dataTable thead>tr>th.sorting_asc_disabled,table.dataTable thead>tr>th.sorting_desc_disabled,table.dataTable thead>tr>td.sorting,table.dataTable thead>tr>td.sorting_asc,table.dataTable thead>tr>td.sorting_desc,table.dataTable thead>tr>td.sorting_asc_disabled,table.dataTable thead>tr>td.sorting_desc_disabled{cursor:pointer;position:relative;padding-right:26px}table.dataTable thead>tr>th.sorting:before,table.dataTable thead>tr>th.sorting:after,table.dataTable thead>tr>th.sorting_asc:before,table.dataTable thead>tr>th.sorting_asc:after,table.dataTable thead>tr>th.sorting_desc:before,table.dataTable thead>tr>th.sorting_desc:after,table.dataTable thead>tr>th.sorting_asc_disabled:before,table.dataTable thead>tr>th.sorting_asc_disabled:after,table.dataTable thead>tr>th.sorting_desc_disabled:before,table.dataTable thead>tr>th.sorting_desc_disabled:after,table.dataTable thead>tr>td.sorting:before,table.dataTable thead>tr>td.sorting:after,table.dataTable thead>tr>td.sorting_asc:before,table.dataTable thead>tr>td.sorting_asc:after,table.dataTable thead>tr>td.sorting_desc:before,table.dataTable thead>tr>td.sorting_desc:after,table.dataTable 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deleted file mode 100644
index f786b0da..00000000
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diff --git a/latest-tag/coverage-report/lib/highlight.js-6.2/LICENSE b/latest-tag/coverage-report/lib/highlight.js-6.2/LICENSE
deleted file mode 100644
index fe2f67b1..00000000
--- a/latest-tag/coverage-report/lib/highlight.js-6.2/LICENSE
+++ /dev/null
@@ -1,24 +0,0 @@
-Copyright (c) 2006, Ivan Sagalaev
-All rights reserved.
-Redistribution and use in source and binary forms, with or without
-modification, are permitted provided that the following conditions are met:
-
-    * Redistributions of source code must retain the above copyright
-      notice, this list of conditions and the following disclaimer.
-    * Redistributions in binary form must reproduce the above copyright
-      notice, this list of conditions and the following disclaimer in the
-      documentation and/or other materials provided with the distribution.
-    * Neither the name of highlight.js nor the names of its contributors
-      may be used to endorse or promote products derived from this software
-      without specific prior written permission.
-
-THIS SOFTWARE IS PROVIDED BY THE REGENTS AND CONTRIBUTORS ``AS IS'' AND ANY
-EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
-WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
-DISCLAIMED. IN NO EVENT SHALL THE REGENTS AND CONTRIBUTORS BE LIABLE FOR ANY
-DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
-(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
-LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
-ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
-(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
-SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
diff --git a/latest-tag/coverage-report/lib/highlight.js-6.2/highlight.pack.js b/latest-tag/coverage-report/lib/highlight.js-6.2/highlight.pack.js
deleted file mode 100644
index 6687e557..00000000
--- a/latest-tag/coverage-report/lib/highlight.js-6.2/highlight.pack.js
+++ /dev/null
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-  }
-
-  // Retrieves runtime widget sizing information for an element.
-  // The return value is either null, or an object with fill, padding,
-  // defaultWidth, defaultHeight fields.
-  function sizingPolicy(el) {
-    var sizingEl = document.querySelector("script[data-for='" + el.id + "'][type='application/htmlwidget-sizing']");
-    if (!sizingEl)
-      return null;
-    var sp = JSON.parse(sizingEl.textContent || sizingEl.text || "{}");
-    if (viewerMode) {
-      return sp.viewer;
-    } else {
-      return sp.browser;
-    }
-  }
-
-  // @param tasks Array of strings (or falsy value, in which case no-op).
-  //   Each element must be a valid JavaScript expression that yields a
-  //   function. Or, can be an array of objects with "code" and "data"
-  //   properties; in this case, the "code" property should be a string
-  //   of JS that's an expr that yields a function, and "data" should be
-  //   an object that will be added as an additional argument when that
-  //   function is called.
-  // @param target The object that will be "this" for each function
-  //   execution.
-  // @param args Array of arguments to be passed to the functions. (The
-  //   same arguments will be passed to all functions.)
-  function evalAndRun(tasks, target, args) {
-    if (tasks) {
-      forEach(tasks, function(task) {
-        var theseArgs = args;
-        if (typeof(task) === "object") {
-          theseArgs = theseArgs.concat([task.data]);
-          task = task.code;
-        }
-        var taskFunc = tryEval(task);
-        if (typeof(taskFunc) !== "function") {
-          throw new Error("Task must be a function! Source:\n" + task);
-        }
-        taskFunc.apply(target, theseArgs);
-      });
-    }
-  }
-
-  // Attempt eval() both with and without enclosing in parentheses.
-  // Note that enclosing coerces a function declaration into
-  // an expression that eval() can parse
-  // (otherwise, a SyntaxError is thrown)
-  function tryEval(code) {
-    var result = null;
-    try {
-      result = eval("(" + code + ")");
-    } catch(error) {
-      if (!(error instanceof SyntaxError)) {
-        throw error;
-      }
-      try {
-        result = eval(code);
-      } catch(e) {
-        if (e instanceof SyntaxError) {
-          throw error;
-        } else {
-          throw e;
-        }
-      }
-    }
-    return result;
-  }
-
-  function initSizing(el) {
-    var sizing = sizingPolicy(el);
-    if (!sizing)
-      return;
-
-    var cel = document.getElementById("htmlwidget_container");
-    if (!cel)
-      return;
-
-    if (typeof(sizing.padding) !== "undefined") {
-      document.body.style.margin = "0";
-      document.body.style.padding = paddingToCss(unpackPadding(sizing.padding));
-    }
-
-    if (sizing.fill) {
-      document.body.style.overflow = "hidden";
-      document.body.style.width = "100%";
-      document.body.style.height = "100%";
-      document.documentElement.style.width = "100%";
-      document.documentElement.style.height = "100%";
-      cel.style.position = "absolute";
-      var pad = unpackPadding(sizing.padding);
-      cel.style.top = pad.top + "px";
-      cel.style.right = pad.right + "px";
-      cel.style.bottom = pad.bottom + "px";
-      cel.style.left = pad.left + "px";
-      el.style.width = "100%";
-      el.style.height = "100%";
-
-      return {
-        getWidth: function() { return cel.getBoundingClientRect().width; },
-        getHeight: function() { return cel.getBoundingClientRect().height; }
-      };
-
-    } else {
-      el.style.width = px(sizing.width);
-      el.style.height = px(sizing.height);
-
-      return {
-        getWidth: function() { return cel.getBoundingClientRect().width; },
-        getHeight: function() { return cel.getBoundingClientRect().height; }
-      };
-    }
-  }
-
-  // Default implementations for methods
-  var defaults = {
-    find: function(scope) {
-      return querySelectorAll(scope, "." + this.name);
-    },
-    renderError: function(el, err) {
-      var $el = $(el);
-
-      this.clearError(el);
-
-      // Add all these error classes, as Shiny does
-      var errClass = "shiny-output-error";
-      if (err.type !== null) {
-        // use the classes of the error condition as CSS class names
-        errClass = errClass + " " + $.map(asArray(err.type), function(type) {
-          return errClass + "-" + type;
-        }).join(" ");
-      }
-      errClass = errClass + " htmlwidgets-error";
-
-      // Is el inline or block? If inline or inline-block, just display:none it
-      // and add an inline error.
-      var display = $el.css("display");
-      $el.data("restore-display-mode", display);
-
-      if (display === "inline" || display === "inline-block") {
-        $el.hide();
-        if (err.message !== "") {
-          var errorSpan = $("<span>").addClass(errClass);
-          errorSpan.text(err.message);
-          $el.after(errorSpan);
-        }
-      } else if (display === "block") {
-        // If block, add an error just after the el, set visibility:none on the
-        // el, and position the error to be on top of the el.
-        // Mark it with a unique ID and CSS class so we can remove it later.
-        $el.css("visibility", "hidden");
-        if (err.message !== "") {
-          var errorDiv = $("<div>").addClass(errClass).css("position", "absolute")
-            .css("top", el.offsetTop)
-            .css("left", el.offsetLeft)
-            // setting width can push out the page size, forcing otherwise
-            // unnecessary scrollbars to appear and making it impossible for
-            // the element to shrink; so use max-width instead
-            .css("maxWidth", el.offsetWidth)
-            .css("height", el.offsetHeight);
-          errorDiv.text(err.message);
-          $el.after(errorDiv);
-
-          // Really dumb way to keep the size/position of the error in sync with
-          // the parent element as the window is resized or whatever.
-          var intId = setInterval(function() {
-            if (!errorDiv[0].parentElement) {
-              clearInterval(intId);
-              return;
-            }
-            errorDiv
-              .css("top", el.offsetTop)
-              .css("left", el.offsetLeft)
-              .css("maxWidth", el.offsetWidth)
-              .css("height", el.offsetHeight);
-          }, 500);
-        }
-      }
-    },
-    clearError: function(el) {
-      var $el = $(el);
-      var display = $el.data("restore-display-mode");
-      $el.data("restore-display-mode", null);
-
-      if (display === "inline" || display === "inline-block") {
-        if (display)
-          $el.css("display", display);
-        $(el.nextSibling).filter(".htmlwidgets-error").remove();
-      } else if (display === "block"){
-        $el.css("visibility", "inherit");
-        $(el.nextSibling).filter(".htmlwidgets-error").remove();
-      }
-    },
-    sizing: {}
-  };
-
-  // Called by widget bindings to register a new type of widget. The definition
-  // object can contain the following properties:
-  // - name (required) - A string indicating the binding name, which will be
-  //   used by default as the CSS classname to look for.
-  // - initialize (optional) - A function(el) that will be called once per
-  //   widget element; if a value is returned, it will be passed as the third
-  //   value to renderValue.
-  // - renderValue (required) - A function(el, data, initValue) that will be
-  //   called with data. Static contexts will cause this to be called once per
-  //   element; Shiny apps will cause this to be called multiple times per
-  //   element, as the data changes.
-  window.HTMLWidgets.widget = function(definition) {
-    if (!definition.name) {
-      throw new Error("Widget must have a name");
-    }
-    if (!definition.type) {
-      throw new Error("Widget must have a type");
-    }
-    // Currently we only support output widgets
-    if (definition.type !== "output") {
-      throw new Error("Unrecognized widget type '" + definition.type + "'");
-    }
-    // TODO: Verify that .name is a valid CSS classname
-
-    // Support new-style instance-bound definitions. Old-style class-bound
-    // definitions have one widget "object" per widget per type/class of
-    // widget; the renderValue and resize methods on such widget objects
-    // take el and instance arguments, because the widget object can't
-    // store them. New-style instance-bound definitions have one widget
-    // object per widget instance; the definition that's passed in doesn't
-    // provide renderValue or resize methods at all, just the single method
-    //   factory(el, width, height)
-    // which returns an object that has renderValue(x) and resize(w, h).
-    // This enables a far more natural programming style for the widget
-    // author, who can store per-instance state using either OO-style
-    // instance fields or functional-style closure variables (I guess this
-    // is in contrast to what can only be called C-style pseudo-OO which is
-    // what we required before).
-    if (definition.factory) {
-      definition = createLegacyDefinitionAdapter(definition);
-    }
-
-    if (!definition.renderValue) {
-      throw new Error("Widget must have a renderValue function");
-    }
-
-    // For static rendering (non-Shiny), use a simple widget registration
-    // scheme. We also use this scheme for Shiny apps/documents that also
-    // contain static widgets.
-    window.HTMLWidgets.widgets = window.HTMLWidgets.widgets || [];
-    // Merge defaults into the definition; don't mutate the original definition.
-    var staticBinding = extend({}, defaults, definition);
-    overrideMethod(staticBinding, "find", function(superfunc) {
-      return function(scope) {
-        var results = superfunc(scope);
-        // Filter out Shiny outputs, we only want the static kind
-        return filterByClass(results, "html-widget-output", false);
-      };
-    });
-    window.HTMLWidgets.widgets.push(staticBinding);
-
-    if (shinyMode) {
-      // Shiny is running. Register the definition with an output binding.
-      // The definition itself will not be the output binding, instead
-      // we will make an output binding object that delegates to the
-      // definition. This is because we foolishly used the same method
-      // name (renderValue) for htmlwidgets definition and Shiny bindings
-      // but they actually have quite different semantics (the Shiny
-      // bindings receive data that includes lots of metadata that it
-      // strips off before calling htmlwidgets renderValue). We can't
-      // just ignore the difference because in some widgets it's helpful
-      // to call this.renderValue() from inside of resize(), and if
-      // we're not delegating, then that call will go to the Shiny
-      // version instead of the htmlwidgets version.
-
-      // Merge defaults with definition, without mutating either.
-      var bindingDef = extend({}, defaults, definition);
-
-      // This object will be our actual Shiny binding.
-      var shinyBinding = new Shiny.OutputBinding();
-
-      // With a few exceptions, we'll want to simply use the bindingDef's
-      // version of methods if they are available, otherwise fall back to
-      // Shiny's defaults. NOTE: If Shiny's output bindings gain additional
-      // methods in the future, and we want them to be overrideable by
-      // HTMLWidget binding definitions, then we'll need to add them to this
-      // list.
-      delegateMethod(shinyBinding, bindingDef, "getId");
-      delegateMethod(shinyBinding, bindingDef, "onValueChange");
-      delegateMethod(shinyBinding, bindingDef, "onValueError");
-      delegateMethod(shinyBinding, bindingDef, "renderError");
-      delegateMethod(shinyBinding, bindingDef, "clearError");
-      delegateMethod(shinyBinding, bindingDef, "showProgress");
-
-      // The find, renderValue, and resize are handled differently, because we
-      // want to actually decorate the behavior of the bindingDef methods.
-
-      shinyBinding.find = function(scope) {
-        var results = bindingDef.find(scope);
-
-        // Only return elements that are Shiny outputs, not static ones
-        var dynamicResults = results.filter(".html-widget-output");
-
-        // It's possible that whatever caused Shiny to think there might be
-        // new dynamic outputs, also caused there to be new static outputs.
-        // Since there might be lots of different htmlwidgets bindings, we
-        // schedule execution for later--no need to staticRender multiple
-        // times.
-        if (results.length !== dynamicResults.length)
-          scheduleStaticRender();
-
-        return dynamicResults;
-      };
-
-      // Wrap renderValue to handle initialization, which unfortunately isn't
-      // supported natively by Shiny at the time of this writing.
-
-      shinyBinding.renderValue = function(el, data) {
-        Shiny.renderDependencies(data.deps);
-        // Resolve strings marked as javascript literals to objects
-        if (!(data.evals instanceof Array)) data.evals = [data.evals];
-        for (var i = 0; data.evals && i < data.evals.length; i++) {
-          window.HTMLWidgets.evaluateStringMember(data.x, data.evals[i]);
-        }
-        if (!bindingDef.renderOnNullValue) {
-          if (data.x === null) {
-            el.style.visibility = "hidden";
-            return;
-          } else {
-            el.style.visibility = "inherit";
-          }
-        }
-        if (!elementData(el, "initialized")) {
-          initSizing(el);
-
-          elementData(el, "initialized", true);
-          if (bindingDef.initialize) {
-            var rect = el.getBoundingClientRect();
-            var result = bindingDef.initialize(el, rect.width, rect.height);
-            elementData(el, "init_result", result);
-          }
-        }
-        bindingDef.renderValue(el, data.x, elementData(el, "init_result"));
-        evalAndRun(data.jsHooks.render, elementData(el, "init_result"), [el, data.x]);
-      };
-
-      // Only override resize if bindingDef implements it
-      if (bindingDef.resize) {
-        shinyBinding.resize = function(el, width, height) {
-          // Shiny can call resize before initialize/renderValue have been
-          // called, which doesn't make sense for widgets.
-          if (elementData(el, "initialized")) {
-            bindingDef.resize(el, width, height, elementData(el, "init_result"));
-          }
-        };
-      }
-
-      Shiny.outputBindings.register(shinyBinding, bindingDef.name);
-    }
-  };
-
-  var scheduleStaticRenderTimerId = null;
-  function scheduleStaticRender() {
-    if (!scheduleStaticRenderTimerId) {
-      scheduleStaticRenderTimerId = setTimeout(function() {
-        scheduleStaticRenderTimerId = null;
-        window.HTMLWidgets.staticRender();
-      }, 1);
-    }
-  }
-
-  // Render static widgets after the document finishes loading
-  // Statically render all elements that are of this widget's class
-  window.HTMLWidgets.staticRender = function() {
-    var bindings = window.HTMLWidgets.widgets || [];
-    forEach(bindings, function(binding) {
-      var matches = binding.find(document.documentElement);
-      forEach(matches, function(el) {
-        var sizeObj = initSizing(el, binding);
-
-        var getSize = function(el) {
-          if (sizeObj) {
-            return {w: sizeObj.getWidth(), h: sizeObj.getHeight()}
-          } else {
-            var rect = el.getBoundingClientRect();
-            return {w: rect.width, h: rect.height}
-          }
-        };
-
-        if (hasClass(el, "html-widget-static-bound"))
-          return;
-        el.className = el.className + " html-widget-static-bound";
-
-        var initResult;
-        if (binding.initialize) {
-          var size = getSize(el);
-          initResult = binding.initialize(el, size.w, size.h);
-          elementData(el, "init_result", initResult);
-        }
-
-        if (binding.resize) {
-          var lastSize = getSize(el);
-          var resizeHandler = function(e) {
-            var size = getSize(el);
-            if (size.w === 0 && size.h === 0)
-              return;
-            if (size.w === lastSize.w && size.h === lastSize.h)
-              return;
-            lastSize = size;
-            binding.resize(el, size.w, size.h, initResult);
-          };
-
-          on(window, "resize", resizeHandler);
-
-          // This is needed for cases where we're running in a Shiny
-          // app, but the widget itself is not a Shiny output, but
-          // rather a simple static widget. One example of this is
-          // an rmarkdown document that has runtime:shiny and widget
-          // that isn't in a render function. Shiny only knows to
-          // call resize handlers for Shiny outputs, not for static
-          // widgets, so we do it ourselves.
-          if (window.jQuery) {
-            window.jQuery(document).on(
-              "shown.htmlwidgets shown.bs.tab.htmlwidgets shown.bs.collapse.htmlwidgets",
-              resizeHandler
-            );
-            window.jQuery(document).on(
-              "hidden.htmlwidgets hidden.bs.tab.htmlwidgets hidden.bs.collapse.htmlwidgets",
-              resizeHandler
-            );
-          }
-
-          // This is needed for the specific case of ioslides, which
-          // flips slides between display:none and display:block.
-          // Ideally we would not have to have ioslide-specific code
-          // here, but rather have ioslides raise a generic event,
-          // but the rmarkdown package just went to CRAN so the
-          // window to getting that fixed may be long.
-          if (window.addEventListener) {
-            // It's OK to limit this to window.addEventListener
-            // browsers because ioslides itself only supports
-            // such browsers.
-            on(document, "slideenter", resizeHandler);
-            on(document, "slideleave", resizeHandler);
-          }
-        }
-
-        var scriptData = document.querySelector("script[data-for='" + el.id + "'][type='application/json']");
-        if (scriptData) {
-          var data = JSON.parse(scriptData.textContent || scriptData.text);
-          // Resolve strings marked as javascript literals to objects
-          if (!(data.evals instanceof Array)) data.evals = [data.evals];
-          for (var k = 0; data.evals && k < data.evals.length; k++) {
-            window.HTMLWidgets.evaluateStringMember(data.x, data.evals[k]);
-          }
-          binding.renderValue(el, data.x, initResult);
-          evalAndRun(data.jsHooks.render, initResult, [el, data.x]);
-        }
-      });
-    });
-
-    invokePostRenderHandlers();
-  }
-
-
-  function has_jQuery3() {
-    if (!window.jQuery) {
-      return false;
-    }
-    var $version = window.jQuery.fn.jquery;
-    var $major_version = parseInt($version.split(".")[0]);
-    return $major_version >= 3;
-  }
-
-  /*
-  / Shiny 1.4 bumped jQuery from 1.x to 3.x which means jQuery's
-  / on-ready handler (i.e., $(fn)) is now asyncronous (i.e., it now
-  / really means $(setTimeout(fn)).
-  / https://jquery.com/upgrade-guide/3.0/#breaking-change-document-ready-handlers-are-now-asynchronous
-  /
-  / Since Shiny uses $() to schedule initShiny, shiny>=1.4 calls initShiny
-  / one tick later than it did before, which means staticRender() is
-  / called renderValue() earlier than (advanced) widget authors might be expecting.
-  / https://github.com/rstudio/shiny/issues/2630
-  /
-  / For a concrete example, leaflet has some methods (e.g., updateBounds)
-  / which reference Shiny methods registered in initShiny (e.g., setInputValue).
-  / Since leaflet is privy to this life-cycle, it knows to use setTimeout() to
-  / delay execution of those methods (until Shiny methods are ready)
-  / https://github.com/rstudio/leaflet/blob/18ec981/javascript/src/index.js#L266-L268
-  /
-  / Ideally widget authors wouldn't need to use this setTimeout() hack that
-  / leaflet uses to call Shiny methods on a staticRender(). In the long run,
-  / the logic initShiny should be broken up so that method registration happens
-  / right away, but binding happens later.
-  */
-  function maybeStaticRenderLater() {
-    if (shinyMode && has_jQuery3()) {
-      window.jQuery(window.HTMLWidgets.staticRender);
-    } else {
-      window.HTMLWidgets.staticRender();
-    }
-  }
-
-  if (document.addEventListener) {
-    document.addEventListener("DOMContentLoaded", function() {
-      document.removeEventListener("DOMContentLoaded", arguments.callee, false);
-      maybeStaticRenderLater();
-    }, false);
-  } else if (document.attachEvent) {
-    document.attachEvent("onreadystatechange", function() {
-      if (document.readyState === "complete") {
-        document.detachEvent("onreadystatechange", arguments.callee);
-        maybeStaticRenderLater();
-      }
-    });
-  }
-
-
-  window.HTMLWidgets.getAttachmentUrl = function(depname, key) {
-    // If no key, default to the first item
-    if (typeof(key) === "undefined")
-      key = 1;
-
-    var link = document.getElementById(depname + "-" + key + "-attachment");
-    if (!link) {
-      throw new Error("Attachment " + depname + "/" + key + " not found in document");
-    }
-    return link.getAttribute("href");
-  };
-
-  window.HTMLWidgets.dataframeToD3 = function(df) {
-    var names = [];
-    var length;
-    for (var name in df) {
-        if (df.hasOwnProperty(name))
-            names.push(name);
-        if (typeof(df[name]) !== "object" || typeof(df[name].length) === "undefined") {
-            throw new Error("All fields must be arrays");
-        } else if (typeof(length) !== "undefined" && length !== df[name].length) {
-            throw new Error("All fields must be arrays of the same length");
-        }
-        length = df[name].length;
-    }
-    var results = [];
-    var item;
-    for (var row = 0; row < length; row++) {
-        item = {};
-        for (var col = 0; col < names.length; col++) {
-            item[names[col]] = df[names[col]][row];
-        }
-        results.push(item);
-    }
-    return results;
-  };
-
-  window.HTMLWidgets.transposeArray2D = function(array) {
-      if (array.length === 0) return array;
-      var newArray = array[0].map(function(col, i) {
-          return array.map(function(row) {
-              return row[i]
-          })
-      });
-      return newArray;
-  };
-  // Split value at splitChar, but allow splitChar to be escaped
-  // using escapeChar. Any other characters escaped by escapeChar
-  // will be included as usual (including escapeChar itself).
-  function splitWithEscape(value, splitChar, escapeChar) {
-    var results = [];
-    var escapeMode = false;
-    var currentResult = "";
-    for (var pos = 0; pos < value.length; pos++) {
-      if (!escapeMode) {
-        if (value[pos] === splitChar) {
-          results.push(currentResult);
-          currentResult = "";
-        } else if (value[pos] === escapeChar) {
-          escapeMode = true;
-        } else {
-          currentResult += value[pos];
-        }
-      } else {
-        currentResult += value[pos];
-        escapeMode = false;
-      }
-    }
-    if (currentResult !== "") {
-      results.push(currentResult);
-    }
-    return results;
-  }
-  // Function authored by Yihui/JJ Allaire
-  window.HTMLWidgets.evaluateStringMember = function(o, member) {
-    var parts = splitWithEscape(member, '.', '\\');
-    for (var i = 0, l = parts.length; i < l; i++) {
-      var part = parts[i];
-      // part may be a character or 'numeric' member name
-      if (o !== null && typeof o === "object" && part in o) {
-        if (i == (l - 1)) { // if we are at the end of the line then evalulate
-          if (typeof o[part] === "string")
-            o[part] = tryEval(o[part]);
-        } else { // otherwise continue to next embedded object
-          o = o[part];
-        }
-      }
-    }
-  };
-
-  // Retrieve the HTMLWidget instance (i.e. the return value of an
-  // HTMLWidget binding's initialize() or factory() function)
-  // associated with an element, or null if none.
-  window.HTMLWidgets.getInstance = function(el) {
-    return elementData(el, "init_result");
-  };
-
-  // Finds the first element in the scope that matches the selector,
-  // and returns the HTMLWidget instance (i.e. the return value of
-  // an HTMLWidget binding's initialize() or factory() function)
-  // associated with that element, if any. If no element matches the
-  // selector, or the first matching element has no HTMLWidget
-  // instance associated with it, then null is returned.
-  //
-  // The scope argument is optional, and defaults to window.document.
-  window.HTMLWidgets.find = function(scope, selector) {
-    if (arguments.length == 1) {
-      selector = scope;
-      scope = document;
-    }
-
-    var el = scope.querySelector(selector);
-    if (el === null) {
-      return null;
-    } else {
-      return window.HTMLWidgets.getInstance(el);
-    }
-  };
-
-  // Finds all elements in the scope that match the selector, and
-  // returns the HTMLWidget instances (i.e. the return values of
-  // an HTMLWidget binding's initialize() or factory() function)
-  // associated with the elements, in an array. If elements that
-  // match the selector don't have an associated HTMLWidget
-  // instance, the returned array will contain nulls.
-  //
-  // The scope argument is optional, and defaults to window.document.
-  window.HTMLWidgets.findAll = function(scope, selector) {
-    if (arguments.length == 1) {
-      selector = scope;
-      scope = document;
-    }
-
-    var nodes = scope.querySelectorAll(selector);
-    var results = [];
-    for (var i = 0; i < nodes.length; i++) {
-      results.push(window.HTMLWidgets.getInstance(nodes[i]));
-    }
-    return results;
-  };
-
-  var postRenderHandlers = [];
-  function invokePostRenderHandlers() {
-    while (postRenderHandlers.length) {
-      var handler = postRenderHandlers.shift();
-      if (handler) {
-        handler();
-      }
-    }
-  }
-
-  // Register the given callback function to be invoked after the
-  // next time static widgets are rendered.
-  window.HTMLWidgets.addPostRenderHandler = function(callback) {
-    postRenderHandlers.push(callback);
-  };
-
-  // Takes a new-style instance-bound definition, and returns an
-  // old-style class-bound definition. This saves us from having
-  // to rewrite all the logic in this file to accomodate both
-  // types of definitions.
-  function createLegacyDefinitionAdapter(defn) {
-    var result = {
-      name: defn.name,
-      type: defn.type,
-      initialize: function(el, width, height) {
-        return defn.factory(el, width, height);
-      },
-      renderValue: function(el, x, instance) {
-        return instance.renderValue(x);
-      },
-      resize: function(el, width, height, instance) {
-        return instance.resize(width, height);
-      }
-    };
-
-    if (defn.find)
-      result.find = defn.find;
-    if (defn.renderError)
-      result.renderError = defn.renderError;
-    if (defn.clearError)
-      result.clearError = defn.clearError;
-
-    return result;
-  }
-})();
diff --git a/latest-tag/coverage-report/lib/jquery-3.6.0/jquery-3.6.0.js b/latest-tag/coverage-report/lib/jquery-3.6.0/jquery-3.6.0.js
deleted file mode 100644
index fc6c299b..00000000
--- a/latest-tag/coverage-report/lib/jquery-3.6.0/jquery-3.6.0.js
+++ /dev/null
@@ -1,10881 +0,0 @@
-/*!
- * jQuery JavaScript Library v3.6.0
- * https://jquery.com/
- *
- * Includes Sizzle.js
- * https://sizzlejs.com/
- *
- * Copyright OpenJS Foundation and other contributors
- * Released under the MIT license
- * https://jquery.org/license
- *
- * Date: 2021-03-02T17:08Z
- */
-( function( global, factory ) {
-
-	"use strict";
-
-	if ( typeof module === "object" && typeof module.exports === "object" ) {
-
-		// For CommonJS and CommonJS-like environments where a proper `window`
-		// is present, execute the factory and get jQuery.
-		// For environments that do not have a `window` with a `document`
-		// (such as Node.js), expose a factory as module.exports.
-		// This accentuates the need for the creation of a real `window`.
-		// e.g. var jQuery = require("jquery")(window);
-		// See ticket #14549 for more info.
-		module.exports = global.document ?
-			factory( global, true ) :
-			function( w ) {
-				if ( !w.document ) {
-					throw new Error( "jQuery requires a window with a document" );
-				}
-				return factory( w );
-			};
-	} else {
-		factory( global );
-	}
-
-// Pass this if window is not defined yet
-} )( typeof window !== "undefined" ? window : this, function( window, noGlobal ) {
-
-// Edge <= 12 - 13+, Firefox <=18 - 45+, IE 10 - 11, Safari 5.1 - 9+, iOS 6 - 9.1
-// throw exceptions when non-strict code (e.g., ASP.NET 4.5) accesses strict mode
-// arguments.callee.caller (trac-13335). But as of jQuery 3.0 (2016), strict mode should be common
-// enough that all such attempts are guarded in a try block.
-"use strict";
-
-var arr = [];
-
-var getProto = Object.getPrototypeOf;
-
-var slice = arr.slice;
-
-var flat = arr.flat ? function( array ) {
-	return arr.flat.call( array );
-} : function( array ) {
-	return arr.concat.apply( [], array );
-};
-
-
-var push = arr.push;
-
-var indexOf = arr.indexOf;
-
-var class2type = {};
-
-var toString = class2type.toString;
-
-var hasOwn = class2type.hasOwnProperty;
-
-var fnToString = hasOwn.toString;
-
-var ObjectFunctionString = fnToString.call( Object );
-
-var support = {};
-
-var isFunction = function isFunction( obj ) {
-
-		// Support: Chrome <=57, Firefox <=52
-		// In some browsers, typeof returns "function" for HTML <object> elements
-		// (i.e., `typeof document.createElement( "object" ) === "function"`).
-		// We don't want to classify *any* DOM node as a function.
-		// Support: QtWeb <=3.8.5, WebKit <=534.34, wkhtmltopdf tool <=0.12.5
-		// Plus for old WebKit, typeof returns "function" for HTML collections
-		// (e.g., `typeof document.getElementsByTagName("div") === "function"`). (gh-4756)
-		return typeof obj === "function" && typeof obj.nodeType !== "number" &&
-			typeof obj.item !== "function";
-	};
-
-
-var isWindow = function isWindow( obj ) {
-		return obj != null && obj === obj.window;
-	};
-
-
-var document = window.document;
-
-
-
-	var preservedScriptAttributes = {
-		type: true,
-		src: true,
-		nonce: true,
-		noModule: true
-	};
-
-	function DOMEval( code, node, doc ) {
-		doc = doc || document;
-
-		var i, val,
-			script = doc.createElement( "script" );
-
-		script.text = code;
-		if ( node ) {
-			for ( i in preservedScriptAttributes ) {
-
-				// Support: Firefox 64+, Edge 18+
-				// Some browsers don't support the "nonce" property on scripts.
-				// On the other hand, just using `getAttribute` is not enough as
-				// the `nonce` attribute is reset to an empty string whenever it
-				// becomes browsing-context connected.
-				// See https://github.com/whatwg/html/issues/2369
-				// See https://html.spec.whatwg.org/#nonce-attributes
-				// The `node.getAttribute` check was added for the sake of
-				// `jQuery.globalEval` so that it can fake a nonce-containing node
-				// via an object.
-				val = node[ i ] || node.getAttribute && node.getAttribute( i );
-				if ( val ) {
-					script.setAttribute( i, val );
-				}
-			}
-		}
-		doc.head.appendChild( script ).parentNode.removeChild( script );
-	}
-
-
-function toType( obj ) {
-	if ( obj == null ) {
-		return obj + "";
-	}
-
-	// Support: Android <=2.3 only (functionish RegExp)
-	return typeof obj === "object" || typeof obj === "function" ?
-		class2type[ toString.call( obj ) ] || "object" :
-		typeof obj;
-}
-/* global Symbol */
-// Defining this global in .eslintrc.json would create a danger of using the global
-// unguarded in another place, it seems safer to define global only for this module
-
-
-
-var
-	version = "3.6.0",
-
-	// Define a local copy of jQuery
-	jQuery = function( selector, context ) {
-
-		// The jQuery object is actually just the init constructor 'enhanced'
-		// Need init if jQuery is called (just allow error to be thrown if not included)
-		return new jQuery.fn.init( selector, context );
-	};
-
-jQuery.fn = jQuery.prototype = {
-
-	// The current version of jQuery being used
-	jquery: version,
-
-	constructor: jQuery,
-
-	// The default length of a jQuery object is 0
-	length: 0,
-
-	toArray: function() {
-		return slice.call( this );
-	},
-
-	// Get the Nth element in the matched element set OR
-	// Get the whole matched element set as a clean array
-	get: function( num ) {
-
-		// Return all the elements in a clean array
-		if ( num == null ) {
-			return slice.call( this );
-		}
-
-		// Return just the one element from the set
-		return num < 0 ? this[ num + this.length ] : this[ num ];
-	},
-
-	// Take an array of elements and push it onto the stack
-	// (returning the new matched element set)
-	pushStack: function( elems ) {
-
-		// Build a new jQuery matched element set
-		var ret = jQuery.merge( this.constructor(), elems );
-
-		// Add the old object onto the stack (as a reference)
-		ret.prevObject = this;
-
-		// Return the newly-formed element set
-		return ret;
-	},
-
-	// Execute a callback for every element in the matched set.
-	each: function( callback ) {
-		return jQuery.each( this, callback );
-	},
-
-	map: function( callback ) {
-		return this.pushStack( jQuery.map( this, function( elem, i ) {
-			return callback.call( elem, i, elem );
-		} ) );
-	},
-
-	slice: function() {
-		return this.pushStack( slice.apply( this, arguments ) );
-	},
-
-	first: function() {
-		return this.eq( 0 );
-	},
-
-	last: function() {
-		return this.eq( -1 );
-	},
-
-	even: function() {
-		return this.pushStack( jQuery.grep( this, function( _elem, i ) {
-			return ( i + 1 ) % 2;
-		} ) );
-	},
-
-	odd: function() {
-		return this.pushStack( jQuery.grep( this, function( _elem, i ) {
-			return i % 2;
-		} ) );
-	},
-
-	eq: function( i ) {
-		var len = this.length,
-			j = +i + ( i < 0 ? len : 0 );
-		return this.pushStack( j >= 0 && j < len ? [ this[ j ] ] : [] );
-	},
-
-	end: function() {
-		return this.prevObject || this.constructor();
-	},
-
-	// For internal use only.
-	// Behaves like an Array's method, not like a jQuery method.
-	push: push,
-	sort: arr.sort,
-	splice: arr.splice
-};
-
-jQuery.extend = jQuery.fn.extend = function() {
-	var options, name, src, copy, copyIsArray, clone,
-		target = arguments[ 0 ] || {},
-		i = 1,
-		length = arguments.length,
-		deep = false;
-
-	// Handle a deep copy situation
-	if ( typeof target === "boolean" ) {
-		deep = target;
-
-		// Skip the boolean and the target
-		target = arguments[ i ] || {};
-		i++;
-	}
-
-	// Handle case when target is a string or something (possible in deep copy)
-	if ( typeof target !== "object" && !isFunction( target ) ) {
-		target = {};
-	}
-
-	// Extend jQuery itself if only one argument is passed
-	if ( i === length ) {
-		target = this;
-		i--;
-	}
-
-	for ( ; i < length; i++ ) {
-
-		// Only deal with non-null/undefined values
-		if ( ( options = arguments[ i ] ) != null ) {
-
-			// Extend the base object
-			for ( name in options ) {
-				copy = options[ name ];
-
-				// Prevent Object.prototype pollution
-				// Prevent never-ending loop
-				if ( name === "__proto__" || target === copy ) {
-					continue;
-				}
-
-				// Recurse if we're merging plain objects or arrays
-				if ( deep && copy && ( jQuery.isPlainObject( copy ) ||
-					( copyIsArray = Array.isArray( copy ) ) ) ) {
-					src = target[ name ];
-
-					// Ensure proper type for the source value
-					if ( copyIsArray && !Array.isArray( src ) ) {
-						clone = [];
-					} else if ( !copyIsArray && !jQuery.isPlainObject( src ) ) {
-						clone = {};
-					} else {
-						clone = src;
-					}
-					copyIsArray = false;
-
-					// Never move original objects, clone them
-					target[ name ] = jQuery.extend( deep, clone, copy );
-
-				// Don't bring in undefined values
-				} else if ( copy !== undefined ) {
-					target[ name ] = copy;
-				}
-			}
-		}
-	}
-
-	// Return the modified object
-	return target;
-};
-
-jQuery.extend( {
-
-	// Unique for each copy of jQuery on the page
-	expando: "jQuery" + ( version + Math.random() ).replace( /\D/g, "" ),
-
-	// Assume jQuery is ready without the ready module
-	isReady: true,
-
-	error: function( msg ) {
-		throw new Error( msg );
-	},
-
-	noop: function() {},
-
-	isPlainObject: function( obj ) {
-		var proto, Ctor;
-
-		// Detect obvious negatives
-		// Use toString instead of jQuery.type to catch host objects
-		if ( !obj || toString.call( obj ) !== "[object Object]" ) {
-			return false;
-		}
-
-		proto = getProto( obj );
-
-		// Objects with no prototype (e.g., `Object.create( null )`) are plain
-		if ( !proto ) {
-			return true;
-		}
-
-		// Objects with prototype are plain iff they were constructed by a global Object function
-		Ctor = hasOwn.call( proto, "constructor" ) && proto.constructor;
-		return typeof Ctor === "function" && fnToString.call( Ctor ) === ObjectFunctionString;
-	},
-
-	isEmptyObject: function( obj ) {
-		var name;
-
-		for ( name in obj ) {
-			return false;
-		}
-		return true;
-	},
-
-	// Evaluates a script in a provided context; falls back to the global one
-	// if not specified.
-	globalEval: function( code, options, doc ) {
-		DOMEval( code, { nonce: options && options.nonce }, doc );
-	},
-
-	each: function( obj, callback ) {
-		var length, i = 0;
-
-		if ( isArrayLike( obj ) ) {
-			length = obj.length;
-			for ( ; i < length; i++ ) {
-				if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) {
-					break;
-				}
-			}
-		} else {
-			for ( i in obj ) {
-				if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) {
-					break;
-				}
-			}
-		}
-
-		return obj;
-	},
-
-	// results is for internal usage only
-	makeArray: function( arr, results ) {
-		var ret = results || [];
-
-		if ( arr != null ) {
-			if ( isArrayLike( Object( arr ) ) ) {
-				jQuery.merge( ret,
-					typeof arr === "string" ?
-						[ arr ] : arr
-				);
-			} else {
-				push.call( ret, arr );
-			}
-		}
-
-		return ret;
-	},
-
-	inArray: function( elem, arr, i ) {
-		return arr == null ? -1 : indexOf.call( arr, elem, i );
-	},
-
-	// Support: Android <=4.0 only, PhantomJS 1 only
-	// push.apply(_, arraylike) throws on ancient WebKit
-	merge: function( first, second ) {
-		var len = +second.length,
-			j = 0,
-			i = first.length;
-
-		for ( ; j < len; j++ ) {
-			first[ i++ ] = second[ j ];
-		}
-
-		first.length = i;
-
-		return first;
-	},
-
-	grep: function( elems, callback, invert ) {
-		var callbackInverse,
-			matches = [],
-			i = 0,
-			length = elems.length,
-			callbackExpect = !invert;
-
-		// Go through the array, only saving the items
-		// that pass the validator function
-		for ( ; i < length; i++ ) {
-			callbackInverse = !callback( elems[ i ], i );
-			if ( callbackInverse !== callbackExpect ) {
-				matches.push( elems[ i ] );
-			}
-		}
-
-		return matches;
-	},
-
-	// arg is for internal usage only
-	map: function( elems, callback, arg ) {
-		var length, value,
-			i = 0,
-			ret = [];
-
-		// Go through the array, translating each of the items to their new values
-		if ( isArrayLike( elems ) ) {
-			length = elems.length;
-			for ( ; i < length; i++ ) {
-				value = callback( elems[ i ], i, arg );
-
-				if ( value != null ) {
-					ret.push( value );
-				}
-			}
-
-		// Go through every key on the object,
-		} else {
-			for ( i in elems ) {
-				value = callback( elems[ i ], i, arg );
-
-				if ( value != null ) {
-					ret.push( value );
-				}
-			}
-		}
-
-		// Flatten any nested arrays
-		return flat( ret );
-	},
-
-	// A global GUID counter for objects
-	guid: 1,
-
-	// jQuery.support is not used in Core but other projects attach their
-	// properties to it so it needs to exist.
-	support: support
-} );
-
-if ( typeof Symbol === "function" ) {
-	jQuery.fn[ Symbol.iterator ] = arr[ Symbol.iterator ];
-}
-
-// Populate the class2type map
-jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ),
-	function( _i, name ) {
-		class2type[ "[object " + name + "]" ] = name.toLowerCase();
-	} );
-
-function isArrayLike( obj ) {
-
-	// Support: real iOS 8.2 only (not reproducible in simulator)
-	// `in` check used to prevent JIT error (gh-2145)
-	// hasOwn isn't used here due to false negatives
-	// regarding Nodelist length in IE
-	var length = !!obj && "length" in obj && obj.length,
-		type = toType( obj );
-
-	if ( isFunction( obj ) || isWindow( obj ) ) {
-		return false;
-	}
-
-	return type === "array" || length === 0 ||
-		typeof length === "number" && length > 0 && ( length - 1 ) in obj;
-}
-var Sizzle =
-/*!
- * Sizzle CSS Selector Engine v2.3.6
- * https://sizzlejs.com/
- *
- * Copyright JS Foundation and other contributors
- * Released under the MIT license
- * https://js.foundation/
- *
- * Date: 2021-02-16
- */
-( function( window ) {
-var i,
-	support,
-	Expr,
-	getText,
-	isXML,
-	tokenize,
-	compile,
-	select,
-	outermostContext,
-	sortInput,
-	hasDuplicate,
-
-	// Local document vars
-	setDocument,
-	document,
-	docElem,
-	documentIsHTML,
-	rbuggyQSA,
-	rbuggyMatches,
-	matches,
-	contains,
-
-	// Instance-specific data
-	expando = "sizzle" + 1 * new Date(),
-	preferredDoc = window.document,
-	dirruns = 0,
-	done = 0,
-	classCache = createCache(),
-	tokenCache = createCache(),
-	compilerCache = createCache(),
-	nonnativeSelectorCache = createCache(),
-	sortOrder = function( a, b ) {
-		if ( a === b ) {
-			hasDuplicate = true;
-		}
-		return 0;
-	},
-
-	// Instance methods
-	hasOwn = ( {} ).hasOwnProperty,
-	arr = [],
-	pop = arr.pop,
-	pushNative = arr.push,
-	push = arr.push,
-	slice = arr.slice,
-
-	// Use a stripped-down indexOf as it's faster than native
-	// https://jsperf.com/thor-indexof-vs-for/5
-	indexOf = function( list, elem ) {
-		var i = 0,
-			len = list.length;
-		for ( ; i < len; i++ ) {
-			if ( list[ i ] === elem ) {
-				return i;
-			}
-		}
-		return -1;
-	},
-
-	booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|" +
-		"ismap|loop|multiple|open|readonly|required|scoped",
-
-	// Regular expressions
-
-	// http://www.w3.org/TR/css3-selectors/#whitespace
-	whitespace = "[\\x20\\t\\r\\n\\f]",
-
-	// https://www.w3.org/TR/css-syntax-3/#ident-token-diagram
-	identifier = "(?:\\\\[\\da-fA-F]{1,6}" + whitespace +
-		"?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",
-
-	// Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors
-	attributes = "\\[" + whitespace + "*(" + identifier + ")(?:" + whitespace +
-
-		// Operator (capture 2)
-		"*([*^$|!~]?=)" + whitespace +
-
-		// "Attribute values must be CSS identifiers [capture 5]
-		// or strings [capture 3 or capture 4]"
-		"*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" +
-		whitespace + "*\\]",
-
-	pseudos = ":(" + identifier + ")(?:\\((" +
-
-		// To reduce the number of selectors needing tokenize in the preFilter, prefer arguments:
-		// 1. quoted (capture 3; capture 4 or capture 5)
-		"('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" +
-
-		// 2. simple (capture 6)
-		"((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" +
-
-		// 3. anything else (capture 2)
-		".*" +
-		")\\)|)",
-
-	// Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter
-	rwhitespace = new RegExp( whitespace + "+", "g" ),
-	rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" +
-		whitespace + "+$", "g" ),
-
-	rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ),
-	rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace +
-		"*" ),
-	rdescend = new RegExp( whitespace + "|>" ),
-
-	rpseudo = new RegExp( pseudos ),
-	ridentifier = new RegExp( "^" + identifier + "$" ),
-
-	matchExpr = {
-		"ID": new RegExp( "^#(" + identifier + ")" ),
-		"CLASS": new RegExp( "^\\.(" + identifier + ")" ),
-		"TAG": new RegExp( "^(" + identifier + "|[*])" ),
-		"ATTR": new RegExp( "^" + attributes ),
-		"PSEUDO": new RegExp( "^" + pseudos ),
-		"CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" +
-			whitespace + "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" +
-			whitespace + "*(\\d+)|))" + whitespace + "*\\)|)", "i" ),
-		"bool": new RegExp( "^(?:" + booleans + ")$", "i" ),
-
-		// For use in libraries implementing .is()
-		// We use this for POS matching in `select`
-		"needsContext": new RegExp( "^" + whitespace +
-			"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + whitespace +
-			"*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" )
-	},
-
-	rhtml = /HTML$/i,
-	rinputs = /^(?:input|select|textarea|button)$/i,
-	rheader = /^h\d$/i,
-
-	rnative = /^[^{]+\{\s*\[native \w/,
-
-	// Easily-parseable/retrievable ID or TAG or CLASS selectors
-	rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,
-
-	rsibling = /[+~]/,
-
-	// CSS escapes
-	// http://www.w3.org/TR/CSS21/syndata.html#escaped-characters
-	runescape = new RegExp( "\\\\[\\da-fA-F]{1,6}" + whitespace + "?|\\\\([^\\r\\n\\f])", "g" ),
-	funescape = function( escape, nonHex ) {
-		var high = "0x" + escape.slice( 1 ) - 0x10000;
-
-		return nonHex ?
-
-			// Strip the backslash prefix from a non-hex escape sequence
-			nonHex :
-
-			// Replace a hexadecimal escape sequence with the encoded Unicode code point
-			// Support: IE <=11+
-			// For values outside the Basic Multilingual Plane (BMP), manually construct a
-			// surrogate pair
-			high < 0 ?
-				String.fromCharCode( high + 0x10000 ) :
-				String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 );
-	},
-
-	// CSS string/identifier serialization
-	// https://drafts.csswg.org/cssom/#common-serializing-idioms
-	rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,
-	fcssescape = function( ch, asCodePoint ) {
-		if ( asCodePoint ) {
-
-			// U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER
-			if ( ch === "\0" ) {
-				return "\uFFFD";
-			}
-
-			// Control characters and (dependent upon position) numbers get escaped as code points
-			return ch.slice( 0, -1 ) + "\\" +
-				ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " ";
-		}
-
-		// Other potentially-special ASCII characters get backslash-escaped
-		return "\\" + ch;
-	},
-
-	// Used for iframes
-	// See setDocument()
-	// Removing the function wrapper causes a "Permission Denied"
-	// error in IE
-	unloadHandler = function() {
-		setDocument();
-	},
-
-	inDisabledFieldset = addCombinator(
-		function( elem ) {
-			return elem.disabled === true && elem.nodeName.toLowerCase() === "fieldset";
-		},
-		{ dir: "parentNode", next: "legend" }
-	);
-
-// Optimize for push.apply( _, NodeList )
-try {
-	push.apply(
-		( arr = slice.call( preferredDoc.childNodes ) ),
-		preferredDoc.childNodes
-	);
-
-	// Support: Android<4.0
-	// Detect silently failing push.apply
-	// eslint-disable-next-line no-unused-expressions
-	arr[ preferredDoc.childNodes.length ].nodeType;
-} catch ( e ) {
-	push = { apply: arr.length ?
-
-		// Leverage slice if possible
-		function( target, els ) {
-			pushNative.apply( target, slice.call( els ) );
-		} :
-
-		// Support: IE<9
-		// Otherwise append directly
-		function( target, els ) {
-			var j = target.length,
-				i = 0;
-
-			// Can't trust NodeList.length
-			while ( ( target[ j++ ] = els[ i++ ] ) ) {}
-			target.length = j - 1;
-		}
-	};
-}
-
-function Sizzle( selector, context, results, seed ) {
-	var m, i, elem, nid, match, groups, newSelector,
-		newContext = context && context.ownerDocument,
-
-		// nodeType defaults to 9, since context defaults to document
-		nodeType = context ? context.nodeType : 9;
-
-	results = results || [];
-
-	// Return early from calls with invalid selector or context
-	if ( typeof selector !== "string" || !selector ||
-		nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) {
-
-		return results;
-	}
-
-	// Try to shortcut find operations (as opposed to filters) in HTML documents
-	if ( !seed ) {
-		setDocument( context );
-		context = context || document;
-
-		if ( documentIsHTML ) {
-
-			// If the selector is sufficiently simple, try using a "get*By*" DOM method
-			// (excepting DocumentFragment context, where the methods don't exist)
-			if ( nodeType !== 11 && ( match = rquickExpr.exec( selector ) ) ) {
-
-				// ID selector
-				if ( ( m = match[ 1 ] ) ) {
-
-					// Document context
-					if ( nodeType === 9 ) {
-						if ( ( elem = context.getElementById( m ) ) ) {
-
-							// Support: IE, Opera, Webkit
-							// TODO: identify versions
-							// getElementById can match elements by name instead of ID
-							if ( elem.id === m ) {
-								results.push( elem );
-								return results;
-							}
-						} else {
-							return results;
-						}
-
-					// Element context
-					} else {
-
-						// Support: IE, Opera, Webkit
-						// TODO: identify versions
-						// getElementById can match elements by name instead of ID
-						if ( newContext && ( elem = newContext.getElementById( m ) ) &&
-							contains( context, elem ) &&
-							elem.id === m ) {
-
-							results.push( elem );
-							return results;
-						}
-					}
-
-				// Type selector
-				} else if ( match[ 2 ] ) {
-					push.apply( results, context.getElementsByTagName( selector ) );
-					return results;
-
-				// Class selector
-				} else if ( ( m = match[ 3 ] ) && support.getElementsByClassName &&
-					context.getElementsByClassName ) {
-
-					push.apply( results, context.getElementsByClassName( m ) );
-					return results;
-				}
-			}
-
-			// Take advantage of querySelectorAll
-			if ( support.qsa &&
-				!nonnativeSelectorCache[ selector + " " ] &&
-				( !rbuggyQSA || !rbuggyQSA.test( selector ) ) &&
-
-				// Support: IE 8 only
-				// Exclude object elements
-				( nodeType !== 1 || context.nodeName.toLowerCase() !== "object" ) ) {
-
-				newSelector = selector;
-				newContext = context;
-
-				// qSA considers elements outside a scoping root when evaluating child or
-				// descendant combinators, which is not what we want.
-				// In such cases, we work around the behavior by prefixing every selector in the
-				// list with an ID selector referencing the scope context.
-				// The technique has to be used as well when a leading combinator is used
-				// as such selectors are not recognized by querySelectorAll.
-				// Thanks to Andrew Dupont for this technique.
-				if ( nodeType === 1 &&
-					( rdescend.test( selector ) || rcombinators.test( selector ) ) ) {
-
-					// Expand context for sibling selectors
-					newContext = rsibling.test( selector ) && testContext( context.parentNode ) ||
-						context;
-
-					// We can use :scope instead of the ID hack if the browser
-					// supports it & if we're not changing the context.
-					if ( newContext !== context || !support.scope ) {
-
-						// Capture the context ID, setting it first if necessary
-						if ( ( nid = context.getAttribute( "id" ) ) ) {
-							nid = nid.replace( rcssescape, fcssescape );
-						} else {
-							context.setAttribute( "id", ( nid = expando ) );
-						}
-					}
-
-					// Prefix every selector in the list
-					groups = tokenize( selector );
-					i = groups.length;
-					while ( i-- ) {
-						groups[ i ] = ( nid ? "#" + nid : ":scope" ) + " " +
-							toSelector( groups[ i ] );
-					}
-					newSelector = groups.join( "," );
-				}
-
-				try {
-					push.apply( results,
-						newContext.querySelectorAll( newSelector )
-					);
-					return results;
-				} catch ( qsaError ) {
-					nonnativeSelectorCache( selector, true );
-				} finally {
-					if ( nid === expando ) {
-						context.removeAttribute( "id" );
-					}
-				}
-			}
-		}
-	}
-
-	// All others
-	return select( selector.replace( rtrim, "$1" ), context, results, seed );
-}
-
-/**
- * Create key-value caches of limited size
- * @returns {function(string, object)} Returns the Object data after storing it on itself with
- *	property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength)
- *	deleting the oldest entry
- */
-function createCache() {
-	var keys = [];
-
-	function cache( key, value ) {
-
-		// Use (key + " ") to avoid collision with native prototype properties (see Issue #157)
-		if ( keys.push( key + " " ) > Expr.cacheLength ) {
-
-			// Only keep the most recent entries
-			delete cache[ keys.shift() ];
-		}
-		return ( cache[ key + " " ] = value );
-	}
-	return cache;
-}
-
-/**
- * Mark a function for special use by Sizzle
- * @param {Function} fn The function to mark
- */
-function markFunction( fn ) {
-	fn[ expando ] = true;
-	return fn;
-}
-
-/**
- * Support testing using an element
- * @param {Function} fn Passed the created element and returns a boolean result
- */
-function assert( fn ) {
-	var el = document.createElement( "fieldset" );
-
-	try {
-		return !!fn( el );
-	} catch ( e ) {
-		return false;
-	} finally {
-
-		// Remove from its parent by default
-		if ( el.parentNode ) {
-			el.parentNode.removeChild( el );
-		}
-
-		// release memory in IE
-		el = null;
-	}
-}
-
-/**
- * Adds the same handler for all of the specified attrs
- * @param {String} attrs Pipe-separated list of attributes
- * @param {Function} handler The method that will be applied
- */
-function addHandle( attrs, handler ) {
-	var arr = attrs.split( "|" ),
-		i = arr.length;
-
-	while ( i-- ) {
-		Expr.attrHandle[ arr[ i ] ] = handler;
-	}
-}
-
-/**
- * Checks document order of two siblings
- * @param {Element} a
- * @param {Element} b
- * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b
- */
-function siblingCheck( a, b ) {
-	var cur = b && a,
-		diff = cur && a.nodeType === 1 && b.nodeType === 1 &&
-			a.sourceIndex - b.sourceIndex;
-
-	// Use IE sourceIndex if available on both nodes
-	if ( diff ) {
-		return diff;
-	}
-
-	// Check if b follows a
-	if ( cur ) {
-		while ( ( cur = cur.nextSibling ) ) {
-			if ( cur === b ) {
-				return -1;
-			}
-		}
-	}
-
-	return a ? 1 : -1;
-}
-
-/**
- * Returns a function to use in pseudos for input types
- * @param {String} type
- */
-function createInputPseudo( type ) {
-	return function( elem ) {
-		var name = elem.nodeName.toLowerCase();
-		return name === "input" && elem.type === type;
-	};
-}
-
-/**
- * Returns a function to use in pseudos for buttons
- * @param {String} type
- */
-function createButtonPseudo( type ) {
-	return function( elem ) {
-		var name = elem.nodeName.toLowerCase();
-		return ( name === "input" || name === "button" ) && elem.type === type;
-	};
-}
-
-/**
- * Returns a function to use in pseudos for :enabled/:disabled
- * @param {Boolean} disabled true for :disabled; false for :enabled
- */
-function createDisabledPseudo( disabled ) {
-
-	// Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable
-	return function( elem ) {
-
-		// Only certain elements can match :enabled or :disabled
-		// https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled
-		// https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled
-		if ( "form" in elem ) {
-
-			// Check for inherited disabledness on relevant non-disabled elements:
-			// * listed form-associated elements in a disabled fieldset
-			//   https://html.spec.whatwg.org/multipage/forms.html#category-listed
-			//   https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled
-			// * option elements in a disabled optgroup
-			//   https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled
-			// All such elements have a "form" property.
-			if ( elem.parentNode && elem.disabled === false ) {
-
-				// Option elements defer to a parent optgroup if present
-				if ( "label" in elem ) {
-					if ( "label" in elem.parentNode ) {
-						return elem.parentNode.disabled === disabled;
-					} else {
-						return elem.disabled === disabled;
-					}
-				}
-
-				// Support: IE 6 - 11
-				// Use the isDisabled shortcut property to check for disabled fieldset ancestors
-				return elem.isDisabled === disabled ||
-
-					// Where there is no isDisabled, check manually
-					/* jshint -W018 */
-					elem.isDisabled !== !disabled &&
-					inDisabledFieldset( elem ) === disabled;
-			}
-
-			return elem.disabled === disabled;
-
-		// Try to winnow out elements that can't be disabled before trusting the disabled property.
-		// Some victims get caught in our net (label, legend, menu, track), but it shouldn't
-		// even exist on them, let alone have a boolean value.
-		} else if ( "label" in elem ) {
-			return elem.disabled === disabled;
-		}
-
-		// Remaining elements are neither :enabled nor :disabled
-		return false;
-	};
-}
-
-/**
- * Returns a function to use in pseudos for positionals
- * @param {Function} fn
- */
-function createPositionalPseudo( fn ) {
-	return markFunction( function( argument ) {
-		argument = +argument;
-		return markFunction( function( seed, matches ) {
-			var j,
-				matchIndexes = fn( [], seed.length, argument ),
-				i = matchIndexes.length;
-
-			// Match elements found at the specified indexes
-			while ( i-- ) {
-				if ( seed[ ( j = matchIndexes[ i ] ) ] ) {
-					seed[ j ] = !( matches[ j ] = seed[ j ] );
-				}
-			}
-		} );
-	} );
-}
-
-/**
- * Checks a node for validity as a Sizzle context
- * @param {Element|Object=} context
- * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value
- */
-function testContext( context ) {
-	return context && typeof context.getElementsByTagName !== "undefined" && context;
-}
-
-// Expose support vars for convenience
-support = Sizzle.support = {};
-
-/**
- * Detects XML nodes
- * @param {Element|Object} elem An element or a document
- * @returns {Boolean} True iff elem is a non-HTML XML node
- */
-isXML = Sizzle.isXML = function( elem ) {
-	var namespace = elem && elem.namespaceURI,
-		docElem = elem && ( elem.ownerDocument || elem ).documentElement;
-
-	// Support: IE <=8
-	// Assume HTML when documentElement doesn't yet exist, such as inside loading iframes
-	// https://bugs.jquery.com/ticket/4833
-	return !rhtml.test( namespace || docElem && docElem.nodeName || "HTML" );
-};
-
-/**
- * Sets document-related variables once based on the current document
- * @param {Element|Object} [doc] An element or document object to use to set the document
- * @returns {Object} Returns the current document
- */
-setDocument = Sizzle.setDocument = function( node ) {
-	var hasCompare, subWindow,
-		doc = node ? node.ownerDocument || node : preferredDoc;
-
-	// Return early if doc is invalid or already selected
-	// Support: IE 11+, Edge 17 - 18+
-	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-	// two documents; shallow comparisons work.
-	// eslint-disable-next-line eqeqeq
-	if ( doc == document || doc.nodeType !== 9 || !doc.documentElement ) {
-		return document;
-	}
-
-	// Update global variables
-	document = doc;
-	docElem = document.documentElement;
-	documentIsHTML = !isXML( document );
-
-	// Support: IE 9 - 11+, Edge 12 - 18+
-	// Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936)
-	// Support: IE 11+, Edge 17 - 18+
-	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-	// two documents; shallow comparisons work.
-	// eslint-disable-next-line eqeqeq
-	if ( preferredDoc != document &&
-		( subWindow = document.defaultView ) && subWindow.top !== subWindow ) {
-
-		// Support: IE 11, Edge
-		if ( subWindow.addEventListener ) {
-			subWindow.addEventListener( "unload", unloadHandler, false );
-
-		// Support: IE 9 - 10 only
-		} else if ( subWindow.attachEvent ) {
-			subWindow.attachEvent( "onunload", unloadHandler );
-		}
-	}
-
-	// Support: IE 8 - 11+, Edge 12 - 18+, Chrome <=16 - 25 only, Firefox <=3.6 - 31 only,
-	// Safari 4 - 5 only, Opera <=11.6 - 12.x only
-	// IE/Edge & older browsers don't support the :scope pseudo-class.
-	// Support: Safari 6.0 only
-	// Safari 6.0 supports :scope but it's an alias of :root there.
-	support.scope = assert( function( el ) {
-		docElem.appendChild( el ).appendChild( document.createElement( "div" ) );
-		return typeof el.querySelectorAll !== "undefined" &&
-			!el.querySelectorAll( ":scope fieldset div" ).length;
-	} );
-
-	/* Attributes
-	---------------------------------------------------------------------- */
-
-	// Support: IE<8
-	// Verify that getAttribute really returns attributes and not properties
-	// (excepting IE8 booleans)
-	support.attributes = assert( function( el ) {
-		el.className = "i";
-		return !el.getAttribute( "className" );
-	} );
-
-	/* getElement(s)By*
-	---------------------------------------------------------------------- */
-
-	// Check if getElementsByTagName("*") returns only elements
-	support.getElementsByTagName = assert( function( el ) {
-		el.appendChild( document.createComment( "" ) );
-		return !el.getElementsByTagName( "*" ).length;
-	} );
-
-	// Support: IE<9
-	support.getElementsByClassName = rnative.test( document.getElementsByClassName );
-
-	// Support: IE<10
-	// Check if getElementById returns elements by name
-	// The broken getElementById methods don't pick up programmatically-set names,
-	// so use a roundabout getElementsByName test
-	support.getById = assert( function( el ) {
-		docElem.appendChild( el ).id = expando;
-		return !document.getElementsByName || !document.getElementsByName( expando ).length;
-	} );
-
-	// ID filter and find
-	if ( support.getById ) {
-		Expr.filter[ "ID" ] = function( id ) {
-			var attrId = id.replace( runescape, funescape );
-			return function( elem ) {
-				return elem.getAttribute( "id" ) === attrId;
-			};
-		};
-		Expr.find[ "ID" ] = function( id, context ) {
-			if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
-				var elem = context.getElementById( id );
-				return elem ? [ elem ] : [];
-			}
-		};
-	} else {
-		Expr.filter[ "ID" ] =  function( id ) {
-			var attrId = id.replace( runescape, funescape );
-			return function( elem ) {
-				var node = typeof elem.getAttributeNode !== "undefined" &&
-					elem.getAttributeNode( "id" );
-				return node && node.value === attrId;
-			};
-		};
-
-		// Support: IE 6 - 7 only
-		// getElementById is not reliable as a find shortcut
-		Expr.find[ "ID" ] = function( id, context ) {
-			if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
-				var node, i, elems,
-					elem = context.getElementById( id );
-
-				if ( elem ) {
-
-					// Verify the id attribute
-					node = elem.getAttributeNode( "id" );
-					if ( node && node.value === id ) {
-						return [ elem ];
-					}
-
-					// Fall back on getElementsByName
-					elems = context.getElementsByName( id );
-					i = 0;
-					while ( ( elem = elems[ i++ ] ) ) {
-						node = elem.getAttributeNode( "id" );
-						if ( node && node.value === id ) {
-							return [ elem ];
-						}
-					}
-				}
-
-				return [];
-			}
-		};
-	}
-
-	// Tag
-	Expr.find[ "TAG" ] = support.getElementsByTagName ?
-		function( tag, context ) {
-			if ( typeof context.getElementsByTagName !== "undefined" ) {
-				return context.getElementsByTagName( tag );
-
-			// DocumentFragment nodes don't have gEBTN
-			} else if ( support.qsa ) {
-				return context.querySelectorAll( tag );
-			}
-		} :
-
-		function( tag, context ) {
-			var elem,
-				tmp = [],
-				i = 0,
-
-				// By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too
-				results = context.getElementsByTagName( tag );
-
-			// Filter out possible comments
-			if ( tag === "*" ) {
-				while ( ( elem = results[ i++ ] ) ) {
-					if ( elem.nodeType === 1 ) {
-						tmp.push( elem );
-					}
-				}
-
-				return tmp;
-			}
-			return results;
-		};
-
-	// Class
-	Expr.find[ "CLASS" ] = support.getElementsByClassName && function( className, context ) {
-		if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) {
-			return context.getElementsByClassName( className );
-		}
-	};
-
-	/* QSA/matchesSelector
-	---------------------------------------------------------------------- */
-
-	// QSA and matchesSelector support
-
-	// matchesSelector(:active) reports false when true (IE9/Opera 11.5)
-	rbuggyMatches = [];
-
-	// qSa(:focus) reports false when true (Chrome 21)
-	// We allow this because of a bug in IE8/9 that throws an error
-	// whenever `document.activeElement` is accessed on an iframe
-	// So, we allow :focus to pass through QSA all the time to avoid the IE error
-	// See https://bugs.jquery.com/ticket/13378
-	rbuggyQSA = [];
-
-	if ( ( support.qsa = rnative.test( document.querySelectorAll ) ) ) {
-
-		// Build QSA regex
-		// Regex strategy adopted from Diego Perini
-		assert( function( el ) {
-
-			var input;
-
-			// Select is set to empty string on purpose
-			// This is to test IE's treatment of not explicitly
-			// setting a boolean content attribute,
-			// since its presence should be enough
-			// https://bugs.jquery.com/ticket/12359
-			docElem.appendChild( el ).innerHTML = "<a id='" + expando + "'></a>" +
-				"<select id='" + expando + "-\r\\' msallowcapture=''>" +
-				"<option selected=''></option></select>";
-
-			// Support: IE8, Opera 11-12.16
-			// Nothing should be selected when empty strings follow ^= or $= or *=
-			// The test attribute must be unknown in Opera but "safe" for WinRT
-			// https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section
-			if ( el.querySelectorAll( "[msallowcapture^='']" ).length ) {
-				rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" );
-			}
-
-			// Support: IE8
-			// Boolean attributes and "value" are not treated correctly
-			if ( !el.querySelectorAll( "[selected]" ).length ) {
-				rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" );
-			}
-
-			// Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+
-			if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) {
-				rbuggyQSA.push( "~=" );
-			}
-
-			// Support: IE 11+, Edge 15 - 18+
-			// IE 11/Edge don't find elements on a `[name='']` query in some cases.
-			// Adding a temporary attribute to the document before the selection works
-			// around the issue.
-			// Interestingly, IE 10 & older don't seem to have the issue.
-			input = document.createElement( "input" );
-			input.setAttribute( "name", "" );
-			el.appendChild( input );
-			if ( !el.querySelectorAll( "[name='']" ).length ) {
-				rbuggyQSA.push( "\\[" + whitespace + "*name" + whitespace + "*=" +
-					whitespace + "*(?:''|\"\")" );
-			}
-
-			// Webkit/Opera - :checked should return selected option elements
-			// http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
-			// IE8 throws error here and will not see later tests
-			if ( !el.querySelectorAll( ":checked" ).length ) {
-				rbuggyQSA.push( ":checked" );
-			}
-
-			// Support: Safari 8+, iOS 8+
-			// https://bugs.webkit.org/show_bug.cgi?id=136851
-			// In-page `selector#id sibling-combinator selector` fails
-			if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) {
-				rbuggyQSA.push( ".#.+[+~]" );
-			}
-
-			// Support: Firefox <=3.6 - 5 only
-			// Old Firefox doesn't throw on a badly-escaped identifier.
-			el.querySelectorAll( "\\\f" );
-			rbuggyQSA.push( "[\\r\\n\\f]" );
-		} );
-
-		assert( function( el ) {
-			el.innerHTML = "<a href='' disabled='disabled'></a>" +
-				"<select disabled='disabled'><option/></select>";
-
-			// Support: Windows 8 Native Apps
-			// The type and name attributes are restricted during .innerHTML assignment
-			var input = document.createElement( "input" );
-			input.setAttribute( "type", "hidden" );
-			el.appendChild( input ).setAttribute( "name", "D" );
-
-			// Support: IE8
-			// Enforce case-sensitivity of name attribute
-			if ( el.querySelectorAll( "[name=d]" ).length ) {
-				rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" );
-			}
-
-			// FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled)
-			// IE8 throws error here and will not see later tests
-			if ( el.querySelectorAll( ":enabled" ).length !== 2 ) {
-				rbuggyQSA.push( ":enabled", ":disabled" );
-			}
-
-			// Support: IE9-11+
-			// IE's :disabled selector does not pick up the children of disabled fieldsets
-			docElem.appendChild( el ).disabled = true;
-			if ( el.querySelectorAll( ":disabled" ).length !== 2 ) {
-				rbuggyQSA.push( ":enabled", ":disabled" );
-			}
-
-			// Support: Opera 10 - 11 only
-			// Opera 10-11 does not throw on post-comma invalid pseudos
-			el.querySelectorAll( "*,:x" );
-			rbuggyQSA.push( ",.*:" );
-		} );
-	}
-
-	if ( ( support.matchesSelector = rnative.test( ( matches = docElem.matches ||
-		docElem.webkitMatchesSelector ||
-		docElem.mozMatchesSelector ||
-		docElem.oMatchesSelector ||
-		docElem.msMatchesSelector ) ) ) ) {
-
-		assert( function( el ) {
-
-			// Check to see if it's possible to do matchesSelector
-			// on a disconnected node (IE 9)
-			support.disconnectedMatch = matches.call( el, "*" );
-
-			// This should fail with an exception
-			// Gecko does not error, returns false instead
-			matches.call( el, "[s!='']:x" );
-			rbuggyMatches.push( "!=", pseudos );
-		} );
-	}
-
-	rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join( "|" ) );
-	rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join( "|" ) );
-
-	/* Contains
-	---------------------------------------------------------------------- */
-	hasCompare = rnative.test( docElem.compareDocumentPosition );
-
-	// Element contains another
-	// Purposefully self-exclusive
-	// As in, an element does not contain itself
-	contains = hasCompare || rnative.test( docElem.contains ) ?
-		function( a, b ) {
-			var adown = a.nodeType === 9 ? a.documentElement : a,
-				bup = b && b.parentNode;
-			return a === bup || !!( bup && bup.nodeType === 1 && (
-				adown.contains ?
-					adown.contains( bup ) :
-					a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16
-			) );
-		} :
-		function( a, b ) {
-			if ( b ) {
-				while ( ( b = b.parentNode ) ) {
-					if ( b === a ) {
-						return true;
-					}
-				}
-			}
-			return false;
-		};
-
-	/* Sorting
-	---------------------------------------------------------------------- */
-
-	// Document order sorting
-	sortOrder = hasCompare ?
-	function( a, b ) {
-
-		// Flag for duplicate removal
-		if ( a === b ) {
-			hasDuplicate = true;
-			return 0;
-		}
-
-		// Sort on method existence if only one input has compareDocumentPosition
-		var compare = !a.compareDocumentPosition - !b.compareDocumentPosition;
-		if ( compare ) {
-			return compare;
-		}
-
-		// Calculate position if both inputs belong to the same document
-		// Support: IE 11+, Edge 17 - 18+
-		// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-		// two documents; shallow comparisons work.
-		// eslint-disable-next-line eqeqeq
-		compare = ( a.ownerDocument || a ) == ( b.ownerDocument || b ) ?
-			a.compareDocumentPosition( b ) :
-
-			// Otherwise we know they are disconnected
-			1;
-
-		// Disconnected nodes
-		if ( compare & 1 ||
-			( !support.sortDetached && b.compareDocumentPosition( a ) === compare ) ) {
-
-			// Choose the first element that is related to our preferred document
-			// Support: IE 11+, Edge 17 - 18+
-			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-			// two documents; shallow comparisons work.
-			// eslint-disable-next-line eqeqeq
-			if ( a == document || a.ownerDocument == preferredDoc &&
-				contains( preferredDoc, a ) ) {
-				return -1;
-			}
-
-			// Support: IE 11+, Edge 17 - 18+
-			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-			// two documents; shallow comparisons work.
-			// eslint-disable-next-line eqeqeq
-			if ( b == document || b.ownerDocument == preferredDoc &&
-				contains( preferredDoc, b ) ) {
-				return 1;
-			}
-
-			// Maintain original order
-			return sortInput ?
-				( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
-				0;
-		}
-
-		return compare & 4 ? -1 : 1;
-	} :
-	function( a, b ) {
-
-		// Exit early if the nodes are identical
-		if ( a === b ) {
-			hasDuplicate = true;
-			return 0;
-		}
-
-		var cur,
-			i = 0,
-			aup = a.parentNode,
-			bup = b.parentNode,
-			ap = [ a ],
-			bp = [ b ];
-
-		// Parentless nodes are either documents or disconnected
-		if ( !aup || !bup ) {
-
-			// Support: IE 11+, Edge 17 - 18+
-			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-			// two documents; shallow comparisons work.
-			/* eslint-disable eqeqeq */
-			return a == document ? -1 :
-				b == document ? 1 :
-				/* eslint-enable eqeqeq */
-				aup ? -1 :
-				bup ? 1 :
-				sortInput ?
-				( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
-				0;
-
-		// If the nodes are siblings, we can do a quick check
-		} else if ( aup === bup ) {
-			return siblingCheck( a, b );
-		}
-
-		// Otherwise we need full lists of their ancestors for comparison
-		cur = a;
-		while ( ( cur = cur.parentNode ) ) {
-			ap.unshift( cur );
-		}
-		cur = b;
-		while ( ( cur = cur.parentNode ) ) {
-			bp.unshift( cur );
-		}
-
-		// Walk down the tree looking for a discrepancy
-		while ( ap[ i ] === bp[ i ] ) {
-			i++;
-		}
-
-		return i ?
-
-			// Do a sibling check if the nodes have a common ancestor
-			siblingCheck( ap[ i ], bp[ i ] ) :
-
-			// Otherwise nodes in our document sort first
-			// Support: IE 11+, Edge 17 - 18+
-			// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-			// two documents; shallow comparisons work.
-			/* eslint-disable eqeqeq */
-			ap[ i ] == preferredDoc ? -1 :
-			bp[ i ] == preferredDoc ? 1 :
-			/* eslint-enable eqeqeq */
-			0;
-	};
-
-	return document;
-};
-
-Sizzle.matches = function( expr, elements ) {
-	return Sizzle( expr, null, null, elements );
-};
-
-Sizzle.matchesSelector = function( elem, expr ) {
-	setDocument( elem );
-
-	if ( support.matchesSelector && documentIsHTML &&
-		!nonnativeSelectorCache[ expr + " " ] &&
-		( !rbuggyMatches || !rbuggyMatches.test( expr ) ) &&
-		( !rbuggyQSA     || !rbuggyQSA.test( expr ) ) ) {
-
-		try {
-			var ret = matches.call( elem, expr );
-
-			// IE 9's matchesSelector returns false on disconnected nodes
-			if ( ret || support.disconnectedMatch ||
-
-				// As well, disconnected nodes are said to be in a document
-				// fragment in IE 9
-				elem.document && elem.document.nodeType !== 11 ) {
-				return ret;
-			}
-		} catch ( e ) {
-			nonnativeSelectorCache( expr, true );
-		}
-	}
-
-	return Sizzle( expr, document, null, [ elem ] ).length > 0;
-};
-
-Sizzle.contains = function( context, elem ) {
-
-	// Set document vars if needed
-	// Support: IE 11+, Edge 17 - 18+
-	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-	// two documents; shallow comparisons work.
-	// eslint-disable-next-line eqeqeq
-	if ( ( context.ownerDocument || context ) != document ) {
-		setDocument( context );
-	}
-	return contains( context, elem );
-};
-
-Sizzle.attr = function( elem, name ) {
-
-	// Set document vars if needed
-	// Support: IE 11+, Edge 17 - 18+
-	// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-	// two documents; shallow comparisons work.
-	// eslint-disable-next-line eqeqeq
-	if ( ( elem.ownerDocument || elem ) != document ) {
-		setDocument( elem );
-	}
-
-	var fn = Expr.attrHandle[ name.toLowerCase() ],
-
-		// Don't get fooled by Object.prototype properties (jQuery #13807)
-		val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ?
-			fn( elem, name, !documentIsHTML ) :
-			undefined;
-
-	return val !== undefined ?
-		val :
-		support.attributes || !documentIsHTML ?
-			elem.getAttribute( name ) :
-			( val = elem.getAttributeNode( name ) ) && val.specified ?
-				val.value :
-				null;
-};
-
-Sizzle.escape = function( sel ) {
-	return ( sel + "" ).replace( rcssescape, fcssescape );
-};
-
-Sizzle.error = function( msg ) {
-	throw new Error( "Syntax error, unrecognized expression: " + msg );
-};
-
-/**
- * Document sorting and removing duplicates
- * @param {ArrayLike} results
- */
-Sizzle.uniqueSort = function( results ) {
-	var elem,
-		duplicates = [],
-		j = 0,
-		i = 0;
-
-	// Unless we *know* we can detect duplicates, assume their presence
-	hasDuplicate = !support.detectDuplicates;
-	sortInput = !support.sortStable && results.slice( 0 );
-	results.sort( sortOrder );
-
-	if ( hasDuplicate ) {
-		while ( ( elem = results[ i++ ] ) ) {
-			if ( elem === results[ i ] ) {
-				j = duplicates.push( i );
-			}
-		}
-		while ( j-- ) {
-			results.splice( duplicates[ j ], 1 );
-		}
-	}
-
-	// Clear input after sorting to release objects
-	// See https://github.com/jquery/sizzle/pull/225
-	sortInput = null;
-
-	return results;
-};
-
-/**
- * Utility function for retrieving the text value of an array of DOM nodes
- * @param {Array|Element} elem
- */
-getText = Sizzle.getText = function( elem ) {
-	var node,
-		ret = "",
-		i = 0,
-		nodeType = elem.nodeType;
-
-	if ( !nodeType ) {
-
-		// If no nodeType, this is expected to be an array
-		while ( ( node = elem[ i++ ] ) ) {
-
-			// Do not traverse comment nodes
-			ret += getText( node );
-		}
-	} else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) {
-
-		// Use textContent for elements
-		// innerText usage removed for consistency of new lines (jQuery #11153)
-		if ( typeof elem.textContent === "string" ) {
-			return elem.textContent;
-		} else {
-
-			// Traverse its children
-			for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
-				ret += getText( elem );
-			}
-		}
-	} else if ( nodeType === 3 || nodeType === 4 ) {
-		return elem.nodeValue;
-	}
-
-	// Do not include comment or processing instruction nodes
-
-	return ret;
-};
-
-Expr = Sizzle.selectors = {
-
-	// Can be adjusted by the user
-	cacheLength: 50,
-
-	createPseudo: markFunction,
-
-	match: matchExpr,
-
-	attrHandle: {},
-
-	find: {},
-
-	relative: {
-		">": { dir: "parentNode", first: true },
-		" ": { dir: "parentNode" },
-		"+": { dir: "previousSibling", first: true },
-		"~": { dir: "previousSibling" }
-	},
-
-	preFilter: {
-		"ATTR": function( match ) {
-			match[ 1 ] = match[ 1 ].replace( runescape, funescape );
-
-			// Move the given value to match[3] whether quoted or unquoted
-			match[ 3 ] = ( match[ 3 ] || match[ 4 ] ||
-				match[ 5 ] || "" ).replace( runescape, funescape );
-
-			if ( match[ 2 ] === "~=" ) {
-				match[ 3 ] = " " + match[ 3 ] + " ";
-			}
-
-			return match.slice( 0, 4 );
-		},
-
-		"CHILD": function( match ) {
-
-			/* matches from matchExpr["CHILD"]
-				1 type (only|nth|...)
-				2 what (child|of-type)
-				3 argument (even|odd|\d*|\d*n([+-]\d+)?|...)
-				4 xn-component of xn+y argument ([+-]?\d*n|)
-				5 sign of xn-component
-				6 x of xn-component
-				7 sign of y-component
-				8 y of y-component
-			*/
-			match[ 1 ] = match[ 1 ].toLowerCase();
-
-			if ( match[ 1 ].slice( 0, 3 ) === "nth" ) {
-
-				// nth-* requires argument
-				if ( !match[ 3 ] ) {
-					Sizzle.error( match[ 0 ] );
-				}
-
-				// numeric x and y parameters for Expr.filter.CHILD
-				// remember that false/true cast respectively to 0/1
-				match[ 4 ] = +( match[ 4 ] ?
-					match[ 5 ] + ( match[ 6 ] || 1 ) :
-					2 * ( match[ 3 ] === "even" || match[ 3 ] === "odd" ) );
-				match[ 5 ] = +( ( match[ 7 ] + match[ 8 ] ) || match[ 3 ] === "odd" );
-
-				// other types prohibit arguments
-			} else if ( match[ 3 ] ) {
-				Sizzle.error( match[ 0 ] );
-			}
-
-			return match;
-		},
-
-		"PSEUDO": function( match ) {
-			var excess,
-				unquoted = !match[ 6 ] && match[ 2 ];
-
-			if ( matchExpr[ "CHILD" ].test( match[ 0 ] ) ) {
-				return null;
-			}
-
-			// Accept quoted arguments as-is
-			if ( match[ 3 ] ) {
-				match[ 2 ] = match[ 4 ] || match[ 5 ] || "";
-
-			// Strip excess characters from unquoted arguments
-			} else if ( unquoted && rpseudo.test( unquoted ) &&
-
-				// Get excess from tokenize (recursively)
-				( excess = tokenize( unquoted, true ) ) &&
-
-				// advance to the next closing parenthesis
-				( excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length ) ) {
-
-				// excess is a negative index
-				match[ 0 ] = match[ 0 ].slice( 0, excess );
-				match[ 2 ] = unquoted.slice( 0, excess );
-			}
-
-			// Return only captures needed by the pseudo filter method (type and argument)
-			return match.slice( 0, 3 );
-		}
-	},
-
-	filter: {
-
-		"TAG": function( nodeNameSelector ) {
-			var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase();
-			return nodeNameSelector === "*" ?
-				function() {
-					return true;
-				} :
-				function( elem ) {
-					return elem.nodeName && elem.nodeName.toLowerCase() === nodeName;
-				};
-		},
-
-		"CLASS": function( className ) {
-			var pattern = classCache[ className + " " ];
-
-			return pattern ||
-				( pattern = new RegExp( "(^|" + whitespace +
-					")" + className + "(" + whitespace + "|$)" ) ) && classCache(
-						className, function( elem ) {
-							return pattern.test(
-								typeof elem.className === "string" && elem.className ||
-								typeof elem.getAttribute !== "undefined" &&
-									elem.getAttribute( "class" ) ||
-								""
-							);
-				} );
-		},
-
-		"ATTR": function( name, operator, check ) {
-			return function( elem ) {
-				var result = Sizzle.attr( elem, name );
-
-				if ( result == null ) {
-					return operator === "!=";
-				}
-				if ( !operator ) {
-					return true;
-				}
-
-				result += "";
-
-				/* eslint-disable max-len */
-
-				return operator === "=" ? result === check :
-					operator === "!=" ? result !== check :
-					operator === "^=" ? check && result.indexOf( check ) === 0 :
-					operator === "*=" ? check && result.indexOf( check ) > -1 :
-					operator === "$=" ? check && result.slice( -check.length ) === check :
-					operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 :
-					operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" :
-					false;
-				/* eslint-enable max-len */
-
-			};
-		},
-
-		"CHILD": function( type, what, _argument, first, last ) {
-			var simple = type.slice( 0, 3 ) !== "nth",
-				forward = type.slice( -4 ) !== "last",
-				ofType = what === "of-type";
-
-			return first === 1 && last === 0 ?
-
-				// Shortcut for :nth-*(n)
-				function( elem ) {
-					return !!elem.parentNode;
-				} :
-
-				function( elem, _context, xml ) {
-					var cache, uniqueCache, outerCache, node, nodeIndex, start,
-						dir = simple !== forward ? "nextSibling" : "previousSibling",
-						parent = elem.parentNode,
-						name = ofType && elem.nodeName.toLowerCase(),
-						useCache = !xml && !ofType,
-						diff = false;
-
-					if ( parent ) {
-
-						// :(first|last|only)-(child|of-type)
-						if ( simple ) {
-							while ( dir ) {
-								node = elem;
-								while ( ( node = node[ dir ] ) ) {
-									if ( ofType ?
-										node.nodeName.toLowerCase() === name :
-										node.nodeType === 1 ) {
-
-										return false;
-									}
-								}
-
-								// Reverse direction for :only-* (if we haven't yet done so)
-								start = dir = type === "only" && !start && "nextSibling";
-							}
-							return true;
-						}
-
-						start = [ forward ? parent.firstChild : parent.lastChild ];
-
-						// non-xml :nth-child(...) stores cache data on `parent`
-						if ( forward && useCache ) {
-
-							// Seek `elem` from a previously-cached index
-
-							// ...in a gzip-friendly way
-							node = parent;
-							outerCache = node[ expando ] || ( node[ expando ] = {} );
-
-							// Support: IE <9 only
-							// Defend against cloned attroperties (jQuery gh-1709)
-							uniqueCache = outerCache[ node.uniqueID ] ||
-								( outerCache[ node.uniqueID ] = {} );
-
-							cache = uniqueCache[ type ] || [];
-							nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
-							diff = nodeIndex && cache[ 2 ];
-							node = nodeIndex && parent.childNodes[ nodeIndex ];
-
-							while ( ( node = ++nodeIndex && node && node[ dir ] ||
-
-								// Fallback to seeking `elem` from the start
-								( diff = nodeIndex = 0 ) || start.pop() ) ) {
-
-								// When found, cache indexes on `parent` and break
-								if ( node.nodeType === 1 && ++diff && node === elem ) {
-									uniqueCache[ type ] = [ dirruns, nodeIndex, diff ];
-									break;
-								}
-							}
-
-						} else {
-
-							// Use previously-cached element index if available
-							if ( useCache ) {
-
-								// ...in a gzip-friendly way
-								node = elem;
-								outerCache = node[ expando ] || ( node[ expando ] = {} );
-
-								// Support: IE <9 only
-								// Defend against cloned attroperties (jQuery gh-1709)
-								uniqueCache = outerCache[ node.uniqueID ] ||
-									( outerCache[ node.uniqueID ] = {} );
-
-								cache = uniqueCache[ type ] || [];
-								nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
-								diff = nodeIndex;
-							}
-
-							// xml :nth-child(...)
-							// or :nth-last-child(...) or :nth(-last)?-of-type(...)
-							if ( diff === false ) {
-
-								// Use the same loop as above to seek `elem` from the start
-								while ( ( node = ++nodeIndex && node && node[ dir ] ||
-									( diff = nodeIndex = 0 ) || start.pop() ) ) {
-
-									if ( ( ofType ?
-										node.nodeName.toLowerCase() === name :
-										node.nodeType === 1 ) &&
-										++diff ) {
-
-										// Cache the index of each encountered element
-										if ( useCache ) {
-											outerCache = node[ expando ] ||
-												( node[ expando ] = {} );
-
-											// Support: IE <9 only
-											// Defend against cloned attroperties (jQuery gh-1709)
-											uniqueCache = outerCache[ node.uniqueID ] ||
-												( outerCache[ node.uniqueID ] = {} );
-
-											uniqueCache[ type ] = [ dirruns, diff ];
-										}
-
-										if ( node === elem ) {
-											break;
-										}
-									}
-								}
-							}
-						}
-
-						// Incorporate the offset, then check against cycle size
-						diff -= last;
-						return diff === first || ( diff % first === 0 && diff / first >= 0 );
-					}
-				};
-		},
-
-		"PSEUDO": function( pseudo, argument ) {
-
-			// pseudo-class names are case-insensitive
-			// http://www.w3.org/TR/selectors/#pseudo-classes
-			// Prioritize by case sensitivity in case custom pseudos are added with uppercase letters
-			// Remember that setFilters inherits from pseudos
-			var args,
-				fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] ||
-					Sizzle.error( "unsupported pseudo: " + pseudo );
-
-			// The user may use createPseudo to indicate that
-			// arguments are needed to create the filter function
-			// just as Sizzle does
-			if ( fn[ expando ] ) {
-				return fn( argument );
-			}
-
-			// But maintain support for old signatures
-			if ( fn.length > 1 ) {
-				args = [ pseudo, pseudo, "", argument ];
-				return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ?
-					markFunction( function( seed, matches ) {
-						var idx,
-							matched = fn( seed, argument ),
-							i = matched.length;
-						while ( i-- ) {
-							idx = indexOf( seed, matched[ i ] );
-							seed[ idx ] = !( matches[ idx ] = matched[ i ] );
-						}
-					} ) :
-					function( elem ) {
-						return fn( elem, 0, args );
-					};
-			}
-
-			return fn;
-		}
-	},
-
-	pseudos: {
-
-		// Potentially complex pseudos
-		"not": markFunction( function( selector ) {
-
-			// Trim the selector passed to compile
-			// to avoid treating leading and trailing
-			// spaces as combinators
-			var input = [],
-				results = [],
-				matcher = compile( selector.replace( rtrim, "$1" ) );
-
-			return matcher[ expando ] ?
-				markFunction( function( seed, matches, _context, xml ) {
-					var elem,
-						unmatched = matcher( seed, null, xml, [] ),
-						i = seed.length;
-
-					// Match elements unmatched by `matcher`
-					while ( i-- ) {
-						if ( ( elem = unmatched[ i ] ) ) {
-							seed[ i ] = !( matches[ i ] = elem );
-						}
-					}
-				} ) :
-				function( elem, _context, xml ) {
-					input[ 0 ] = elem;
-					matcher( input, null, xml, results );
-
-					// Don't keep the element (issue #299)
-					input[ 0 ] = null;
-					return !results.pop();
-				};
-		} ),
-
-		"has": markFunction( function( selector ) {
-			return function( elem ) {
-				return Sizzle( selector, elem ).length > 0;
-			};
-		} ),
-
-		"contains": markFunction( function( text ) {
-			text = text.replace( runescape, funescape );
-			return function( elem ) {
-				return ( elem.textContent || getText( elem ) ).indexOf( text ) > -1;
-			};
-		} ),
-
-		// "Whether an element is represented by a :lang() selector
-		// is based solely on the element's language value
-		// being equal to the identifier C,
-		// or beginning with the identifier C immediately followed by "-".
-		// The matching of C against the element's language value is performed case-insensitively.
-		// The identifier C does not have to be a valid language name."
-		// http://www.w3.org/TR/selectors/#lang-pseudo
-		"lang": markFunction( function( lang ) {
-
-			// lang value must be a valid identifier
-			if ( !ridentifier.test( lang || "" ) ) {
-				Sizzle.error( "unsupported lang: " + lang );
-			}
-			lang = lang.replace( runescape, funescape ).toLowerCase();
-			return function( elem ) {
-				var elemLang;
-				do {
-					if ( ( elemLang = documentIsHTML ?
-						elem.lang :
-						elem.getAttribute( "xml:lang" ) || elem.getAttribute( "lang" ) ) ) {
-
-						elemLang = elemLang.toLowerCase();
-						return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0;
-					}
-				} while ( ( elem = elem.parentNode ) && elem.nodeType === 1 );
-				return false;
-			};
-		} ),
-
-		// Miscellaneous
-		"target": function( elem ) {
-			var hash = window.location && window.location.hash;
-			return hash && hash.slice( 1 ) === elem.id;
-		},
-
-		"root": function( elem ) {
-			return elem === docElem;
-		},
-
-		"focus": function( elem ) {
-			return elem === document.activeElement &&
-				( !document.hasFocus || document.hasFocus() ) &&
-				!!( elem.type || elem.href || ~elem.tabIndex );
-		},
-
-		// Boolean properties
-		"enabled": createDisabledPseudo( false ),
-		"disabled": createDisabledPseudo( true ),
-
-		"checked": function( elem ) {
-
-			// In CSS3, :checked should return both checked and selected elements
-			// http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
-			var nodeName = elem.nodeName.toLowerCase();
-			return ( nodeName === "input" && !!elem.checked ) ||
-				( nodeName === "option" && !!elem.selected );
-		},
-
-		"selected": function( elem ) {
-
-			// Accessing this property makes selected-by-default
-			// options in Safari work properly
-			if ( elem.parentNode ) {
-				// eslint-disable-next-line no-unused-expressions
-				elem.parentNode.selectedIndex;
-			}
-
-			return elem.selected === true;
-		},
-
-		// Contents
-		"empty": function( elem ) {
-
-			// http://www.w3.org/TR/selectors/#empty-pseudo
-			// :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5),
-			//   but not by others (comment: 8; processing instruction: 7; etc.)
-			// nodeType < 6 works because attributes (2) do not appear as children
-			for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
-				if ( elem.nodeType < 6 ) {
-					return false;
-				}
-			}
-			return true;
-		},
-
-		"parent": function( elem ) {
-			return !Expr.pseudos[ "empty" ]( elem );
-		},
-
-		// Element/input types
-		"header": function( elem ) {
-			return rheader.test( elem.nodeName );
-		},
-
-		"input": function( elem ) {
-			return rinputs.test( elem.nodeName );
-		},
-
-		"button": function( elem ) {
-			var name = elem.nodeName.toLowerCase();
-			return name === "input" && elem.type === "button" || name === "button";
-		},
-
-		"text": function( elem ) {
-			var attr;
-			return elem.nodeName.toLowerCase() === "input" &&
-				elem.type === "text" &&
-
-				// Support: IE<8
-				// New HTML5 attribute values (e.g., "search") appear with elem.type === "text"
-				( ( attr = elem.getAttribute( "type" ) ) == null ||
-					attr.toLowerCase() === "text" );
-		},
-
-		// Position-in-collection
-		"first": createPositionalPseudo( function() {
-			return [ 0 ];
-		} ),
-
-		"last": createPositionalPseudo( function( _matchIndexes, length ) {
-			return [ length - 1 ];
-		} ),
-
-		"eq": createPositionalPseudo( function( _matchIndexes, length, argument ) {
-			return [ argument < 0 ? argument + length : argument ];
-		} ),
-
-		"even": createPositionalPseudo( function( matchIndexes, length ) {
-			var i = 0;
-			for ( ; i < length; i += 2 ) {
-				matchIndexes.push( i );
-			}
-			return matchIndexes;
-		} ),
-
-		"odd": createPositionalPseudo( function( matchIndexes, length ) {
-			var i = 1;
-			for ( ; i < length; i += 2 ) {
-				matchIndexes.push( i );
-			}
-			return matchIndexes;
-		} ),
-
-		"lt": createPositionalPseudo( function( matchIndexes, length, argument ) {
-			var i = argument < 0 ?
-				argument + length :
-				argument > length ?
-					length :
-					argument;
-			for ( ; --i >= 0; ) {
-				matchIndexes.push( i );
-			}
-			return matchIndexes;
-		} ),
-
-		"gt": createPositionalPseudo( function( matchIndexes, length, argument ) {
-			var i = argument < 0 ? argument + length : argument;
-			for ( ; ++i < length; ) {
-				matchIndexes.push( i );
-			}
-			return matchIndexes;
-		} )
-	}
-};
-
-Expr.pseudos[ "nth" ] = Expr.pseudos[ "eq" ];
-
-// Add button/input type pseudos
-for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) {
-	Expr.pseudos[ i ] = createInputPseudo( i );
-}
-for ( i in { submit: true, reset: true } ) {
-	Expr.pseudos[ i ] = createButtonPseudo( i );
-}
-
-// Easy API for creating new setFilters
-function setFilters() {}
-setFilters.prototype = Expr.filters = Expr.pseudos;
-Expr.setFilters = new setFilters();
-
-tokenize = Sizzle.tokenize = function( selector, parseOnly ) {
-	var matched, match, tokens, type,
-		soFar, groups, preFilters,
-		cached = tokenCache[ selector + " " ];
-
-	if ( cached ) {
-		return parseOnly ? 0 : cached.slice( 0 );
-	}
-
-	soFar = selector;
-	groups = [];
-	preFilters = Expr.preFilter;
-
-	while ( soFar ) {
-
-		// Comma and first run
-		if ( !matched || ( match = rcomma.exec( soFar ) ) ) {
-			if ( match ) {
-
-				// Don't consume trailing commas as valid
-				soFar = soFar.slice( match[ 0 ].length ) || soFar;
-			}
-			groups.push( ( tokens = [] ) );
-		}
-
-		matched = false;
-
-		// Combinators
-		if ( ( match = rcombinators.exec( soFar ) ) ) {
-			matched = match.shift();
-			tokens.push( {
-				value: matched,
-
-				// Cast descendant combinators to space
-				type: match[ 0 ].replace( rtrim, " " )
-			} );
-			soFar = soFar.slice( matched.length );
-		}
-
-		// Filters
-		for ( type in Expr.filter ) {
-			if ( ( match = matchExpr[ type ].exec( soFar ) ) && ( !preFilters[ type ] ||
-				( match = preFilters[ type ]( match ) ) ) ) {
-				matched = match.shift();
-				tokens.push( {
-					value: matched,
-					type: type,
-					matches: match
-				} );
-				soFar = soFar.slice( matched.length );
-			}
-		}
-
-		if ( !matched ) {
-			break;
-		}
-	}
-
-	// Return the length of the invalid excess
-	// if we're just parsing
-	// Otherwise, throw an error or return tokens
-	return parseOnly ?
-		soFar.length :
-		soFar ?
-			Sizzle.error( selector ) :
-
-			// Cache the tokens
-			tokenCache( selector, groups ).slice( 0 );
-};
-
-function toSelector( tokens ) {
-	var i = 0,
-		len = tokens.length,
-		selector = "";
-	for ( ; i < len; i++ ) {
-		selector += tokens[ i ].value;
-	}
-	return selector;
-}
-
-function addCombinator( matcher, combinator, base ) {
-	var dir = combinator.dir,
-		skip = combinator.next,
-		key = skip || dir,
-		checkNonElements = base && key === "parentNode",
-		doneName = done++;
-
-	return combinator.first ?
-
-		// Check against closest ancestor/preceding element
-		function( elem, context, xml ) {
-			while ( ( elem = elem[ dir ] ) ) {
-				if ( elem.nodeType === 1 || checkNonElements ) {
-					return matcher( elem, context, xml );
-				}
-			}
-			return false;
-		} :
-
-		// Check against all ancestor/preceding elements
-		function( elem, context, xml ) {
-			var oldCache, uniqueCache, outerCache,
-				newCache = [ dirruns, doneName ];
-
-			// We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching
-			if ( xml ) {
-				while ( ( elem = elem[ dir ] ) ) {
-					if ( elem.nodeType === 1 || checkNonElements ) {
-						if ( matcher( elem, context, xml ) ) {
-							return true;
-						}
-					}
-				}
-			} else {
-				while ( ( elem = elem[ dir ] ) ) {
-					if ( elem.nodeType === 1 || checkNonElements ) {
-						outerCache = elem[ expando ] || ( elem[ expando ] = {} );
-
-						// Support: IE <9 only
-						// Defend against cloned attroperties (jQuery gh-1709)
-						uniqueCache = outerCache[ elem.uniqueID ] ||
-							( outerCache[ elem.uniqueID ] = {} );
-
-						if ( skip && skip === elem.nodeName.toLowerCase() ) {
-							elem = elem[ dir ] || elem;
-						} else if ( ( oldCache = uniqueCache[ key ] ) &&
-							oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) {
-
-							// Assign to newCache so results back-propagate to previous elements
-							return ( newCache[ 2 ] = oldCache[ 2 ] );
-						} else {
-
-							// Reuse newcache so results back-propagate to previous elements
-							uniqueCache[ key ] = newCache;
-
-							// A match means we're done; a fail means we have to keep checking
-							if ( ( newCache[ 2 ] = matcher( elem, context, xml ) ) ) {
-								return true;
-							}
-						}
-					}
-				}
-			}
-			return false;
-		};
-}
-
-function elementMatcher( matchers ) {
-	return matchers.length > 1 ?
-		function( elem, context, xml ) {
-			var i = matchers.length;
-			while ( i-- ) {
-				if ( !matchers[ i ]( elem, context, xml ) ) {
-					return false;
-				}
-			}
-			return true;
-		} :
-		matchers[ 0 ];
-}
-
-function multipleContexts( selector, contexts, results ) {
-	var i = 0,
-		len = contexts.length;
-	for ( ; i < len; i++ ) {
-		Sizzle( selector, contexts[ i ], results );
-	}
-	return results;
-}
-
-function condense( unmatched, map, filter, context, xml ) {
-	var elem,
-		newUnmatched = [],
-		i = 0,
-		len = unmatched.length,
-		mapped = map != null;
-
-	for ( ; i < len; i++ ) {
-		if ( ( elem = unmatched[ i ] ) ) {
-			if ( !filter || filter( elem, context, xml ) ) {
-				newUnmatched.push( elem );
-				if ( mapped ) {
-					map.push( i );
-				}
-			}
-		}
-	}
-
-	return newUnmatched;
-}
-
-function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) {
-	if ( postFilter && !postFilter[ expando ] ) {
-		postFilter = setMatcher( postFilter );
-	}
-	if ( postFinder && !postFinder[ expando ] ) {
-		postFinder = setMatcher( postFinder, postSelector );
-	}
-	return markFunction( function( seed, results, context, xml ) {
-		var temp, i, elem,
-			preMap = [],
-			postMap = [],
-			preexisting = results.length,
-
-			// Get initial elements from seed or context
-			elems = seed || multipleContexts(
-				selector || "*",
-				context.nodeType ? [ context ] : context,
-				[]
-			),
-
-			// Prefilter to get matcher input, preserving a map for seed-results synchronization
-			matcherIn = preFilter && ( seed || !selector ) ?
-				condense( elems, preMap, preFilter, context, xml ) :
-				elems,
-
-			matcherOut = matcher ?
-
-				// If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results,
-				postFinder || ( seed ? preFilter : preexisting || postFilter ) ?
-
-					// ...intermediate processing is necessary
-					[] :
-
-					// ...otherwise use results directly
-					results :
-				matcherIn;
-
-		// Find primary matches
-		if ( matcher ) {
-			matcher( matcherIn, matcherOut, context, xml );
-		}
-
-		// Apply postFilter
-		if ( postFilter ) {
-			temp = condense( matcherOut, postMap );
-			postFilter( temp, [], context, xml );
-
-			// Un-match failing elements by moving them back to matcherIn
-			i = temp.length;
-			while ( i-- ) {
-				if ( ( elem = temp[ i ] ) ) {
-					matcherOut[ postMap[ i ] ] = !( matcherIn[ postMap[ i ] ] = elem );
-				}
-			}
-		}
-
-		if ( seed ) {
-			if ( postFinder || preFilter ) {
-				if ( postFinder ) {
-
-					// Get the final matcherOut by condensing this intermediate into postFinder contexts
-					temp = [];
-					i = matcherOut.length;
-					while ( i-- ) {
-						if ( ( elem = matcherOut[ i ] ) ) {
-
-							// Restore matcherIn since elem is not yet a final match
-							temp.push( ( matcherIn[ i ] = elem ) );
-						}
-					}
-					postFinder( null, ( matcherOut = [] ), temp, xml );
-				}
-
-				// Move matched elements from seed to results to keep them synchronized
-				i = matcherOut.length;
-				while ( i-- ) {
-					if ( ( elem = matcherOut[ i ] ) &&
-						( temp = postFinder ? indexOf( seed, elem ) : preMap[ i ] ) > -1 ) {
-
-						seed[ temp ] = !( results[ temp ] = elem );
-					}
-				}
-			}
-
-		// Add elements to results, through postFinder if defined
-		} else {
-			matcherOut = condense(
-				matcherOut === results ?
-					matcherOut.splice( preexisting, matcherOut.length ) :
-					matcherOut
-			);
-			if ( postFinder ) {
-				postFinder( null, results, matcherOut, xml );
-			} else {
-				push.apply( results, matcherOut );
-			}
-		}
-	} );
-}
-
-function matcherFromTokens( tokens ) {
-	var checkContext, matcher, j,
-		len = tokens.length,
-		leadingRelative = Expr.relative[ tokens[ 0 ].type ],
-		implicitRelative = leadingRelative || Expr.relative[ " " ],
-		i = leadingRelative ? 1 : 0,
-
-		// The foundational matcher ensures that elements are reachable from top-level context(s)
-		matchContext = addCombinator( function( elem ) {
-			return elem === checkContext;
-		}, implicitRelative, true ),
-		matchAnyContext = addCombinator( function( elem ) {
-			return indexOf( checkContext, elem ) > -1;
-		}, implicitRelative, true ),
-		matchers = [ function( elem, context, xml ) {
-			var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || (
-				( checkContext = context ).nodeType ?
-					matchContext( elem, context, xml ) :
-					matchAnyContext( elem, context, xml ) );
-
-			// Avoid hanging onto element (issue #299)
-			checkContext = null;
-			return ret;
-		} ];
-
-	for ( ; i < len; i++ ) {
-		if ( ( matcher = Expr.relative[ tokens[ i ].type ] ) ) {
-			matchers = [ addCombinator( elementMatcher( matchers ), matcher ) ];
-		} else {
-			matcher = Expr.filter[ tokens[ i ].type ].apply( null, tokens[ i ].matches );
-
-			// Return special upon seeing a positional matcher
-			if ( matcher[ expando ] ) {
-
-				// Find the next relative operator (if any) for proper handling
-				j = ++i;
-				for ( ; j < len; j++ ) {
-					if ( Expr.relative[ tokens[ j ].type ] ) {
-						break;
-					}
-				}
-				return setMatcher(
-					i > 1 && elementMatcher( matchers ),
-					i > 1 && toSelector(
-
-					// If the preceding token was a descendant combinator, insert an implicit any-element `*`
-					tokens
-						.slice( 0, i - 1 )
-						.concat( { value: tokens[ i - 2 ].type === " " ? "*" : "" } )
-					).replace( rtrim, "$1" ),
-					matcher,
-					i < j && matcherFromTokens( tokens.slice( i, j ) ),
-					j < len && matcherFromTokens( ( tokens = tokens.slice( j ) ) ),
-					j < len && toSelector( tokens )
-				);
-			}
-			matchers.push( matcher );
-		}
-	}
-
-	return elementMatcher( matchers );
-}
-
-function matcherFromGroupMatchers( elementMatchers, setMatchers ) {
-	var bySet = setMatchers.length > 0,
-		byElement = elementMatchers.length > 0,
-		superMatcher = function( seed, context, xml, results, outermost ) {
-			var elem, j, matcher,
-				matchedCount = 0,
-				i = "0",
-				unmatched = seed && [],
-				setMatched = [],
-				contextBackup = outermostContext,
-
-				// We must always have either seed elements or outermost context
-				elems = seed || byElement && Expr.find[ "TAG" ]( "*", outermost ),
-
-				// Use integer dirruns iff this is the outermost matcher
-				dirrunsUnique = ( dirruns += contextBackup == null ? 1 : Math.random() || 0.1 ),
-				len = elems.length;
-
-			if ( outermost ) {
-
-				// Support: IE 11+, Edge 17 - 18+
-				// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-				// two documents; shallow comparisons work.
-				// eslint-disable-next-line eqeqeq
-				outermostContext = context == document || context || outermost;
-			}
-
-			// Add elements passing elementMatchers directly to results
-			// Support: IE<9, Safari
-			// Tolerate NodeList properties (IE: "length"; Safari: <number>) matching elements by id
-			for ( ; i !== len && ( elem = elems[ i ] ) != null; i++ ) {
-				if ( byElement && elem ) {
-					j = 0;
-
-					// Support: IE 11+, Edge 17 - 18+
-					// IE/Edge sometimes throw a "Permission denied" error when strict-comparing
-					// two documents; shallow comparisons work.
-					// eslint-disable-next-line eqeqeq
-					if ( !context && elem.ownerDocument != document ) {
-						setDocument( elem );
-						xml = !documentIsHTML;
-					}
-					while ( ( matcher = elementMatchers[ j++ ] ) ) {
-						if ( matcher( elem, context || document, xml ) ) {
-							results.push( elem );
-							break;
-						}
-					}
-					if ( outermost ) {
-						dirruns = dirrunsUnique;
-					}
-				}
-
-				// Track unmatched elements for set filters
-				if ( bySet ) {
-
-					// They will have gone through all possible matchers
-					if ( ( elem = !matcher && elem ) ) {
-						matchedCount--;
-					}
-
-					// Lengthen the array for every element, matched or not
-					if ( seed ) {
-						unmatched.push( elem );
-					}
-				}
-			}
-
-			// `i` is now the count of elements visited above, and adding it to `matchedCount`
-			// makes the latter nonnegative.
-			matchedCount += i;
-
-			// Apply set filters to unmatched elements
-			// NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount`
-			// equals `i`), unless we didn't visit _any_ elements in the above loop because we have
-			// no element matchers and no seed.
-			// Incrementing an initially-string "0" `i` allows `i` to remain a string only in that
-			// case, which will result in a "00" `matchedCount` that differs from `i` but is also
-			// numerically zero.
-			if ( bySet && i !== matchedCount ) {
-				j = 0;
-				while ( ( matcher = setMatchers[ j++ ] ) ) {
-					matcher( unmatched, setMatched, context, xml );
-				}
-
-				if ( seed ) {
-
-					// Reintegrate element matches to eliminate the need for sorting
-					if ( matchedCount > 0 ) {
-						while ( i-- ) {
-							if ( !( unmatched[ i ] || setMatched[ i ] ) ) {
-								setMatched[ i ] = pop.call( results );
-							}
-						}
-					}
-
-					// Discard index placeholder values to get only actual matches
-					setMatched = condense( setMatched );
-				}
-
-				// Add matches to results
-				push.apply( results, setMatched );
-
-				// Seedless set matches succeeding multiple successful matchers stipulate sorting
-				if ( outermost && !seed && setMatched.length > 0 &&
-					( matchedCount + setMatchers.length ) > 1 ) {
-
-					Sizzle.uniqueSort( results );
-				}
-			}
-
-			// Override manipulation of globals by nested matchers
-			if ( outermost ) {
-				dirruns = dirrunsUnique;
-				outermostContext = contextBackup;
-			}
-
-			return unmatched;
-		};
-
-	return bySet ?
-		markFunction( superMatcher ) :
-		superMatcher;
-}
-
-compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) {
-	var i,
-		setMatchers = [],
-		elementMatchers = [],
-		cached = compilerCache[ selector + " " ];
-
-	if ( !cached ) {
-
-		// Generate a function of recursive functions that can be used to check each element
-		if ( !match ) {
-			match = tokenize( selector );
-		}
-		i = match.length;
-		while ( i-- ) {
-			cached = matcherFromTokens( match[ i ] );
-			if ( cached[ expando ] ) {
-				setMatchers.push( cached );
-			} else {
-				elementMatchers.push( cached );
-			}
-		}
-
-		// Cache the compiled function
-		cached = compilerCache(
-			selector,
-			matcherFromGroupMatchers( elementMatchers, setMatchers )
-		);
-
-		// Save selector and tokenization
-		cached.selector = selector;
-	}
-	return cached;
-};
-
-/**
- * A low-level selection function that works with Sizzle's compiled
- *  selector functions
- * @param {String|Function} selector A selector or a pre-compiled
- *  selector function built with Sizzle.compile
- * @param {Element} context
- * @param {Array} [results]
- * @param {Array} [seed] A set of elements to match against
- */
-select = Sizzle.select = function( selector, context, results, seed ) {
-	var i, tokens, token, type, find,
-		compiled = typeof selector === "function" && selector,
-		match = !seed && tokenize( ( selector = compiled.selector || selector ) );
-
-	results = results || [];
-
-	// Try to minimize operations if there is only one selector in the list and no seed
-	// (the latter of which guarantees us context)
-	if ( match.length === 1 ) {
-
-		// Reduce context if the leading compound selector is an ID
-		tokens = match[ 0 ] = match[ 0 ].slice( 0 );
-		if ( tokens.length > 2 && ( token = tokens[ 0 ] ).type === "ID" &&
-			context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[ 1 ].type ] ) {
-
-			context = ( Expr.find[ "ID" ]( token.matches[ 0 ]
-				.replace( runescape, funescape ), context ) || [] )[ 0 ];
-			if ( !context ) {
-				return results;
-
-			// Precompiled matchers will still verify ancestry, so step up a level
-			} else if ( compiled ) {
-				context = context.parentNode;
-			}
-
-			selector = selector.slice( tokens.shift().value.length );
-		}
-
-		// Fetch a seed set for right-to-left matching
-		i = matchExpr[ "needsContext" ].test( selector ) ? 0 : tokens.length;
-		while ( i-- ) {
-			token = tokens[ i ];
-
-			// Abort if we hit a combinator
-			if ( Expr.relative[ ( type = token.type ) ] ) {
-				break;
-			}
-			if ( ( find = Expr.find[ type ] ) ) {
-
-				// Search, expanding context for leading sibling combinators
-				if ( ( seed = find(
-					token.matches[ 0 ].replace( runescape, funescape ),
-					rsibling.test( tokens[ 0 ].type ) && testContext( context.parentNode ) ||
-						context
-				) ) ) {
-
-					// If seed is empty or no tokens remain, we can return early
-					tokens.splice( i, 1 );
-					selector = seed.length && toSelector( tokens );
-					if ( !selector ) {
-						push.apply( results, seed );
-						return results;
-					}
-
-					break;
-				}
-			}
-		}
-	}
-
-	// Compile and execute a filtering function if one is not provided
-	// Provide `match` to avoid retokenization if we modified the selector above
-	( compiled || compile( selector, match ) )(
-		seed,
-		context,
-		!documentIsHTML,
-		results,
-		!context || rsibling.test( selector ) && testContext( context.parentNode ) || context
-	);
-	return results;
-};
-
-// One-time assignments
-
-// Sort stability
-support.sortStable = expando.split( "" ).sort( sortOrder ).join( "" ) === expando;
-
-// Support: Chrome 14-35+
-// Always assume duplicates if they aren't passed to the comparison function
-support.detectDuplicates = !!hasDuplicate;
-
-// Initialize against the default document
-setDocument();
-
-// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27)
-// Detached nodes confoundingly follow *each other*
-support.sortDetached = assert( function( el ) {
-
-	// Should return 1, but returns 4 (following)
-	return el.compareDocumentPosition( document.createElement( "fieldset" ) ) & 1;
-} );
-
-// Support: IE<8
-// Prevent attribute/property "interpolation"
-// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx
-if ( !assert( function( el ) {
-	el.innerHTML = "<a href='#'></a>";
-	return el.firstChild.getAttribute( "href" ) === "#";
-} ) ) {
-	addHandle( "type|href|height|width", function( elem, name, isXML ) {
-		if ( !isXML ) {
-			return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 );
-		}
-	} );
-}
-
-// Support: IE<9
-// Use defaultValue in place of getAttribute("value")
-if ( !support.attributes || !assert( function( el ) {
-	el.innerHTML = "<input/>";
-	el.firstChild.setAttribute( "value", "" );
-	return el.firstChild.getAttribute( "value" ) === "";
-} ) ) {
-	addHandle( "value", function( elem, _name, isXML ) {
-		if ( !isXML && elem.nodeName.toLowerCase() === "input" ) {
-			return elem.defaultValue;
-		}
-	} );
-}
-
-// Support: IE<9
-// Use getAttributeNode to fetch booleans when getAttribute lies
-if ( !assert( function( el ) {
-	return el.getAttribute( "disabled" ) == null;
-} ) ) {
-	addHandle( booleans, function( elem, name, isXML ) {
-		var val;
-		if ( !isXML ) {
-			return elem[ name ] === true ? name.toLowerCase() :
-				( val = elem.getAttributeNode( name ) ) && val.specified ?
-					val.value :
-					null;
-		}
-	} );
-}
-
-return Sizzle;
-
-} )( window );
-
-
-
-jQuery.find = Sizzle;
-jQuery.expr = Sizzle.selectors;
-
-// Deprecated
-jQuery.expr[ ":" ] = jQuery.expr.pseudos;
-jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort;
-jQuery.text = Sizzle.getText;
-jQuery.isXMLDoc = Sizzle.isXML;
-jQuery.contains = Sizzle.contains;
-jQuery.escapeSelector = Sizzle.escape;
-
-
-
-
-var dir = function( elem, dir, until ) {
-	var matched = [],
-		truncate = until !== undefined;
-
-	while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) {
-		if ( elem.nodeType === 1 ) {
-			if ( truncate && jQuery( elem ).is( until ) ) {
-				break;
-			}
-			matched.push( elem );
-		}
-	}
-	return matched;
-};
-
-
-var siblings = function( n, elem ) {
-	var matched = [];
-
-	for ( ; n; n = n.nextSibling ) {
-		if ( n.nodeType === 1 && n !== elem ) {
-			matched.push( n );
-		}
-	}
-
-	return matched;
-};
-
-
-var rneedsContext = jQuery.expr.match.needsContext;
-
-
-
-function nodeName( elem, name ) {
-
-	return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase();
-
-}
-var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i );
-
-
-
-// Implement the identical functionality for filter and not
-function winnow( elements, qualifier, not ) {
-	if ( isFunction( qualifier ) ) {
-		return jQuery.grep( elements, function( elem, i ) {
-			return !!qualifier.call( elem, i, elem ) !== not;
-		} );
-	}
-
-	// Single element
-	if ( qualifier.nodeType ) {
-		return jQuery.grep( elements, function( elem ) {
-			return ( elem === qualifier ) !== not;
-		} );
-	}
-
-	// Arraylike of elements (jQuery, arguments, Array)
-	if ( typeof qualifier !== "string" ) {
-		return jQuery.grep( elements, function( elem ) {
-			return ( indexOf.call( qualifier, elem ) > -1 ) !== not;
-		} );
-	}
-
-	// Filtered directly for both simple and complex selectors
-	return jQuery.filter( qualifier, elements, not );
-}
-
-jQuery.filter = function( expr, elems, not ) {
-	var elem = elems[ 0 ];
-
-	if ( not ) {
-		expr = ":not(" + expr + ")";
-	}
-
-	if ( elems.length === 1 && elem.nodeType === 1 ) {
-		return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : [];
-	}
-
-	return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) {
-		return elem.nodeType === 1;
-	} ) );
-};
-
-jQuery.fn.extend( {
-	find: function( selector ) {
-		var i, ret,
-			len = this.length,
-			self = this;
-
-		if ( typeof selector !== "string" ) {
-			return this.pushStack( jQuery( selector ).filter( function() {
-				for ( i = 0; i < len; i++ ) {
-					if ( jQuery.contains( self[ i ], this ) ) {
-						return true;
-					}
-				}
-			} ) );
-		}
-
-		ret = this.pushStack( [] );
-
-		for ( i = 0; i < len; i++ ) {
-			jQuery.find( selector, self[ i ], ret );
-		}
-
-		return len > 1 ? jQuery.uniqueSort( ret ) : ret;
-	},
-	filter: function( selector ) {
-		return this.pushStack( winnow( this, selector || [], false ) );
-	},
-	not: function( selector ) {
-		return this.pushStack( winnow( this, selector || [], true ) );
-	},
-	is: function( selector ) {
-		return !!winnow(
-			this,
-
-			// If this is a positional/relative selector, check membership in the returned set
-			// so $("p:first").is("p:last") won't return true for a doc with two "p".
-			typeof selector === "string" && rneedsContext.test( selector ) ?
-				jQuery( selector ) :
-				selector || [],
-			false
-		).length;
-	}
-} );
-
-
-// Initialize a jQuery object
-
-
-// A central reference to the root jQuery(document)
-var rootjQuery,
-
-	// A simple way to check for HTML strings
-	// Prioritize #id over <tag> to avoid XSS via location.hash (#9521)
-	// Strict HTML recognition (#11290: must start with <)
-	// Shortcut simple #id case for speed
-	rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/,
-
-	init = jQuery.fn.init = function( selector, context, root ) {
-		var match, elem;
-
-		// HANDLE: $(""), $(null), $(undefined), $(false)
-		if ( !selector ) {
-			return this;
-		}
-
-		// Method init() accepts an alternate rootjQuery
-		// so migrate can support jQuery.sub (gh-2101)
-		root = root || rootjQuery;
-
-		// Handle HTML strings
-		if ( typeof selector === "string" ) {
-			if ( selector[ 0 ] === "<" &&
-				selector[ selector.length - 1 ] === ">" &&
-				selector.length >= 3 ) {
-
-				// Assume that strings that start and end with <> are HTML and skip the regex check
-				match = [ null, selector, null ];
-
-			} else {
-				match = rquickExpr.exec( selector );
-			}
-
-			// Match html or make sure no context is specified for #id
-			if ( match && ( match[ 1 ] || !context ) ) {
-
-				// HANDLE: $(html) -> $(array)
-				if ( match[ 1 ] ) {
-					context = context instanceof jQuery ? context[ 0 ] : context;
-
-					// Option to run scripts is true for back-compat
-					// Intentionally let the error be thrown if parseHTML is not present
-					jQuery.merge( this, jQuery.parseHTML(
-						match[ 1 ],
-						context && context.nodeType ? context.ownerDocument || context : document,
-						true
-					) );
-
-					// HANDLE: $(html, props)
-					if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) {
-						for ( match in context ) {
-
-							// Properties of context are called as methods if possible
-							if ( isFunction( this[ match ] ) ) {
-								this[ match ]( context[ match ] );
-
-							// ...and otherwise set as attributes
-							} else {
-								this.attr( match, context[ match ] );
-							}
-						}
-					}
-
-					return this;
-
-				// HANDLE: $(#id)
-				} else {
-					elem = document.getElementById( match[ 2 ] );
-
-					if ( elem ) {
-
-						// Inject the element directly into the jQuery object
-						this[ 0 ] = elem;
-						this.length = 1;
-					}
-					return this;
-				}
-
-			// HANDLE: $(expr, $(...))
-			} else if ( !context || context.jquery ) {
-				return ( context || root ).find( selector );
-
-			// HANDLE: $(expr, context)
-			// (which is just equivalent to: $(context).find(expr)
-			} else {
-				return this.constructor( context ).find( selector );
-			}
-
-		// HANDLE: $(DOMElement)
-		} else if ( selector.nodeType ) {
-			this[ 0 ] = selector;
-			this.length = 1;
-			return this;
-
-		// HANDLE: $(function)
-		// Shortcut for document ready
-		} else if ( isFunction( selector ) ) {
-			return root.ready !== undefined ?
-				root.ready( selector ) :
-
-				// Execute immediately if ready is not present
-				selector( jQuery );
-		}
-
-		return jQuery.makeArray( selector, this );
-	};
-
-// Give the init function the jQuery prototype for later instantiation
-init.prototype = jQuery.fn;
-
-// Initialize central reference
-rootjQuery = jQuery( document );
-
-
-var rparentsprev = /^(?:parents|prev(?:Until|All))/,
-
-	// Methods guaranteed to produce a unique set when starting from a unique set
-	guaranteedUnique = {
-		children: true,
-		contents: true,
-		next: true,
-		prev: true
-	};
-
-jQuery.fn.extend( {
-	has: function( target ) {
-		var targets = jQuery( target, this ),
-			l = targets.length;
-
-		return this.filter( function() {
-			var i = 0;
-			for ( ; i < l; i++ ) {
-				if ( jQuery.contains( this, targets[ i ] ) ) {
-					return true;
-				}
-			}
-		} );
-	},
-
-	closest: function( selectors, context ) {
-		var cur,
-			i = 0,
-			l = this.length,
-			matched = [],
-			targets = typeof selectors !== "string" && jQuery( selectors );
-
-		// Positional selectors never match, since there's no _selection_ context
-		if ( !rneedsContext.test( selectors ) ) {
-			for ( ; i < l; i++ ) {
-				for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) {
-
-					// Always skip document fragments
-					if ( cur.nodeType < 11 && ( targets ?
-						targets.index( cur ) > -1 :
-
-						// Don't pass non-elements to Sizzle
-						cur.nodeType === 1 &&
-							jQuery.find.matchesSelector( cur, selectors ) ) ) {
-
-						matched.push( cur );
-						break;
-					}
-				}
-			}
-		}
-
-		return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched );
-	},
-
-	// Determine the position of an element within the set
-	index: function( elem ) {
-
-		// No argument, return index in parent
-		if ( !elem ) {
-			return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1;
-		}
-
-		// Index in selector
-		if ( typeof elem === "string" ) {
-			return indexOf.call( jQuery( elem ), this[ 0 ] );
-		}
-
-		// Locate the position of the desired element
-		return indexOf.call( this,
-
-			// If it receives a jQuery object, the first element is used
-			elem.jquery ? elem[ 0 ] : elem
-		);
-	},
-
-	add: function( selector, context ) {
-		return this.pushStack(
-			jQuery.uniqueSort(
-				jQuery.merge( this.get(), jQuery( selector, context ) )
-			)
-		);
-	},
-
-	addBack: function( selector ) {
-		return this.add( selector == null ?
-			this.prevObject : this.prevObject.filter( selector )
-		);
-	}
-} );
-
-function sibling( cur, dir ) {
-	while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {}
-	return cur;
-}
-
-jQuery.each( {
-	parent: function( elem ) {
-		var parent = elem.parentNode;
-		return parent && parent.nodeType !== 11 ? parent : null;
-	},
-	parents: function( elem ) {
-		return dir( elem, "parentNode" );
-	},
-	parentsUntil: function( elem, _i, until ) {
-		return dir( elem, "parentNode", until );
-	},
-	next: function( elem ) {
-		return sibling( elem, "nextSibling" );
-	},
-	prev: function( elem ) {
-		return sibling( elem, "previousSibling" );
-	},
-	nextAll: function( elem ) {
-		return dir( elem, "nextSibling" );
-	},
-	prevAll: function( elem ) {
-		return dir( elem, "previousSibling" );
-	},
-	nextUntil: function( elem, _i, until ) {
-		return dir( elem, "nextSibling", until );
-	},
-	prevUntil: function( elem, _i, until ) {
-		return dir( elem, "previousSibling", until );
-	},
-	siblings: function( elem ) {
-		return siblings( ( elem.parentNode || {} ).firstChild, elem );
-	},
-	children: function( elem ) {
-		return siblings( elem.firstChild );
-	},
-	contents: function( elem ) {
-		if ( elem.contentDocument != null &&
-
-			// Support: IE 11+
-			// <object> elements with no `data` attribute has an object
-			// `contentDocument` with a `null` prototype.
-			getProto( elem.contentDocument ) ) {
-
-			return elem.contentDocument;
-		}
-
-		// Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only
-		// Treat the template element as a regular one in browsers that
-		// don't support it.
-		if ( nodeName( elem, "template" ) ) {
-			elem = elem.content || elem;
-		}
-
-		return jQuery.merge( [], elem.childNodes );
-	}
-}, function( name, fn ) {
-	jQuery.fn[ name ] = function( until, selector ) {
-		var matched = jQuery.map( this, fn, until );
-
-		if ( name.slice( -5 ) !== "Until" ) {
-			selector = until;
-		}
-
-		if ( selector && typeof selector === "string" ) {
-			matched = jQuery.filter( selector, matched );
-		}
-
-		if ( this.length > 1 ) {
-
-			// Remove duplicates
-			if ( !guaranteedUnique[ name ] ) {
-				jQuery.uniqueSort( matched );
-			}
-
-			// Reverse order for parents* and prev-derivatives
-			if ( rparentsprev.test( name ) ) {
-				matched.reverse();
-			}
-		}
-
-		return this.pushStack( matched );
-	};
-} );
-var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g );
-
-
-
-// Convert String-formatted options into Object-formatted ones
-function createOptions( options ) {
-	var object = {};
-	jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) {
-		object[ flag ] = true;
-	} );
-	return object;
-}
-
-/*
- * Create a callback list using the following parameters:
- *
- *	options: an optional list of space-separated options that will change how
- *			the callback list behaves or a more traditional option object
- *
- * By default a callback list will act like an event callback list and can be
- * "fired" multiple times.
- *
- * Possible options:
- *
- *	once:			will ensure the callback list can only be fired once (like a Deferred)
- *
- *	memory:			will keep track of previous values and will call any callback added
- *					after the list has been fired right away with the latest "memorized"
- *					values (like a Deferred)
- *
- *	unique:			will ensure a callback can only be added once (no duplicate in the list)
- *
- *	stopOnFalse:	interrupt callings when a callback returns false
- *
- */
-jQuery.Callbacks = function( options ) {
-
-	// Convert options from String-formatted to Object-formatted if needed
-	// (we check in cache first)
-	options = typeof options === "string" ?
-		createOptions( options ) :
-		jQuery.extend( {}, options );
-
-	var // Flag to know if list is currently firing
-		firing,
-
-		// Last fire value for non-forgettable lists
-		memory,
-
-		// Flag to know if list was already fired
-		fired,
-
-		// Flag to prevent firing
-		locked,
-
-		// Actual callback list
-		list = [],
-
-		// Queue of execution data for repeatable lists
-		queue = [],
-
-		// Index of currently firing callback (modified by add/remove as needed)
-		firingIndex = -1,
-
-		// Fire callbacks
-		fire = function() {
-
-			// Enforce single-firing
-			locked = locked || options.once;
-
-			// Execute callbacks for all pending executions,
-			// respecting firingIndex overrides and runtime changes
-			fired = firing = true;
-			for ( ; queue.length; firingIndex = -1 ) {
-				memory = queue.shift();
-				while ( ++firingIndex < list.length ) {
-
-					// Run callback and check for early termination
-					if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false &&
-						options.stopOnFalse ) {
-
-						// Jump to end and forget the data so .add doesn't re-fire
-						firingIndex = list.length;
-						memory = false;
-					}
-				}
-			}
-
-			// Forget the data if we're done with it
-			if ( !options.memory ) {
-				memory = false;
-			}
-
-			firing = false;
-
-			// Clean up if we're done firing for good
-			if ( locked ) {
-
-				// Keep an empty list if we have data for future add calls
-				if ( memory ) {
-					list = [];
-
-				// Otherwise, this object is spent
-				} else {
-					list = "";
-				}
-			}
-		},
-
-		// Actual Callbacks object
-		self = {
-
-			// Add a callback or a collection of callbacks to the list
-			add: function() {
-				if ( list ) {
-
-					// If we have memory from a past run, we should fire after adding
-					if ( memory && !firing ) {
-						firingIndex = list.length - 1;
-						queue.push( memory );
-					}
-
-					( function add( args ) {
-						jQuery.each( args, function( _, arg ) {
-							if ( isFunction( arg ) ) {
-								if ( !options.unique || !self.has( arg ) ) {
-									list.push( arg );
-								}
-							} else if ( arg && arg.length && toType( arg ) !== "string" ) {
-
-								// Inspect recursively
-								add( arg );
-							}
-						} );
-					} )( arguments );
-
-					if ( memory && !firing ) {
-						fire();
-					}
-				}
-				return this;
-			},
-
-			// Remove a callback from the list
-			remove: function() {
-				jQuery.each( arguments, function( _, arg ) {
-					var index;
-					while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) {
-						list.splice( index, 1 );
-
-						// Handle firing indexes
-						if ( index <= firingIndex ) {
-							firingIndex--;
-						}
-					}
-				} );
-				return this;
-			},
-
-			// Check if a given callback is in the list.
-			// If no argument is given, return whether or not list has callbacks attached.
-			has: function( fn ) {
-				return fn ?
-					jQuery.inArray( fn, list ) > -1 :
-					list.length > 0;
-			},
-
-			// Remove all callbacks from the list
-			empty: function() {
-				if ( list ) {
-					list = [];
-				}
-				return this;
-			},
-
-			// Disable .fire and .add
-			// Abort any current/pending executions
-			// Clear all callbacks and values
-			disable: function() {
-				locked = queue = [];
-				list = memory = "";
-				return this;
-			},
-			disabled: function() {
-				return !list;
-			},
-
-			// Disable .fire
-			// Also disable .add unless we have memory (since it would have no effect)
-			// Abort any pending executions
-			lock: function() {
-				locked = queue = [];
-				if ( !memory && !firing ) {
-					list = memory = "";
-				}
-				return this;
-			},
-			locked: function() {
-				return !!locked;
-			},
-
-			// Call all callbacks with the given context and arguments
-			fireWith: function( context, args ) {
-				if ( !locked ) {
-					args = args || [];
-					args = [ context, args.slice ? args.slice() : args ];
-					queue.push( args );
-					if ( !firing ) {
-						fire();
-					}
-				}
-				return this;
-			},
-
-			// Call all the callbacks with the given arguments
-			fire: function() {
-				self.fireWith( this, arguments );
-				return this;
-			},
-
-			// To know if the callbacks have already been called at least once
-			fired: function() {
-				return !!fired;
-			}
-		};
-
-	return self;
-};
-
-
-function Identity( v ) {
-	return v;
-}
-function Thrower( ex ) {
-	throw ex;
-}
-
-function adoptValue( value, resolve, reject, noValue ) {
-	var method;
-
-	try {
-
-		// Check for promise aspect first to privilege synchronous behavior
-		if ( value && isFunction( ( method = value.promise ) ) ) {
-			method.call( value ).done( resolve ).fail( reject );
-
-		// Other thenables
-		} else if ( value && isFunction( ( method = value.then ) ) ) {
-			method.call( value, resolve, reject );
-
-		// Other non-thenables
-		} else {
-
-			// Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer:
-			// * false: [ value ].slice( 0 ) => resolve( value )
-			// * true: [ value ].slice( 1 ) => resolve()
-			resolve.apply( undefined, [ value ].slice( noValue ) );
-		}
-
-	// For Promises/A+, convert exceptions into rejections
-	// Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in
-	// Deferred#then to conditionally suppress rejection.
-	} catch ( value ) {
-
-		// Support: Android 4.0 only
-		// Strict mode functions invoked without .call/.apply get global-object context
-		reject.apply( undefined, [ value ] );
-	}
-}
-
-jQuery.extend( {
-
-	Deferred: function( func ) {
-		var tuples = [
-
-				// action, add listener, callbacks,
-				// ... .then handlers, argument index, [final state]
-				[ "notify", "progress", jQuery.Callbacks( "memory" ),
-					jQuery.Callbacks( "memory" ), 2 ],
-				[ "resolve", "done", jQuery.Callbacks( "once memory" ),
-					jQuery.Callbacks( "once memory" ), 0, "resolved" ],
-				[ "reject", "fail", jQuery.Callbacks( "once memory" ),
-					jQuery.Callbacks( "once memory" ), 1, "rejected" ]
-			],
-			state = "pending",
-			promise = {
-				state: function() {
-					return state;
-				},
-				always: function() {
-					deferred.done( arguments ).fail( arguments );
-					return this;
-				},
-				"catch": function( fn ) {
-					return promise.then( null, fn );
-				},
-
-				// Keep pipe for back-compat
-				pipe: function( /* fnDone, fnFail, fnProgress */ ) {
-					var fns = arguments;
-
-					return jQuery.Deferred( function( newDefer ) {
-						jQuery.each( tuples, function( _i, tuple ) {
-
-							// Map tuples (progress, done, fail) to arguments (done, fail, progress)
-							var fn = isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ];
-
-							// deferred.progress(function() { bind to newDefer or newDefer.notify })
-							// deferred.done(function() { bind to newDefer or newDefer.resolve })
-							// deferred.fail(function() { bind to newDefer or newDefer.reject })
-							deferred[ tuple[ 1 ] ]( function() {
-								var returned = fn && fn.apply( this, arguments );
-								if ( returned && isFunction( returned.promise ) ) {
-									returned.promise()
-										.progress( newDefer.notify )
-										.done( newDefer.resolve )
-										.fail( newDefer.reject );
-								} else {
-									newDefer[ tuple[ 0 ] + "With" ](
-										this,
-										fn ? [ returned ] : arguments
-									);
-								}
-							} );
-						} );
-						fns = null;
-					} ).promise();
-				},
-				then: function( onFulfilled, onRejected, onProgress ) {
-					var maxDepth = 0;
-					function resolve( depth, deferred, handler, special ) {
-						return function() {
-							var that = this,
-								args = arguments,
-								mightThrow = function() {
-									var returned, then;
-
-									// Support: Promises/A+ section 2.3.3.3.3
-									// https://promisesaplus.com/#point-59
-									// Ignore double-resolution attempts
-									if ( depth < maxDepth ) {
-										return;
-									}
-
-									returned = handler.apply( that, args );
-
-									// Support: Promises/A+ section 2.3.1
-									// https://promisesaplus.com/#point-48
-									if ( returned === deferred.promise() ) {
-										throw new TypeError( "Thenable self-resolution" );
-									}
-
-									// Support: Promises/A+ sections 2.3.3.1, 3.5
-									// https://promisesaplus.com/#point-54
-									// https://promisesaplus.com/#point-75
-									// Retrieve `then` only once
-									then = returned &&
-
-										// Support: Promises/A+ section 2.3.4
-										// https://promisesaplus.com/#point-64
-										// Only check objects and functions for thenability
-										( typeof returned === "object" ||
-											typeof returned === "function" ) &&
-										returned.then;
-
-									// Handle a returned thenable
-									if ( isFunction( then ) ) {
-
-										// Special processors (notify) just wait for resolution
-										if ( special ) {
-											then.call(
-												returned,
-												resolve( maxDepth, deferred, Identity, special ),
-												resolve( maxDepth, deferred, Thrower, special )
-											);
-
-										// Normal processors (resolve) also hook into progress
-										} else {
-
-											// ...and disregard older resolution values
-											maxDepth++;
-
-											then.call(
-												returned,
-												resolve( maxDepth, deferred, Identity, special ),
-												resolve( maxDepth, deferred, Thrower, special ),
-												resolve( maxDepth, deferred, Identity,
-													deferred.notifyWith )
-											);
-										}
-
-									// Handle all other returned values
-									} else {
-
-										// Only substitute handlers pass on context
-										// and multiple values (non-spec behavior)
-										if ( handler !== Identity ) {
-											that = undefined;
-											args = [ returned ];
-										}
-
-										// Process the value(s)
-										// Default process is resolve
-										( special || deferred.resolveWith )( that, args );
-									}
-								},
-
-								// Only normal processors (resolve) catch and reject exceptions
-								process = special ?
-									mightThrow :
-									function() {
-										try {
-											mightThrow();
-										} catch ( e ) {
-
-											if ( jQuery.Deferred.exceptionHook ) {
-												jQuery.Deferred.exceptionHook( e,
-													process.stackTrace );
-											}
-
-											// Support: Promises/A+ section 2.3.3.3.4.1
-											// https://promisesaplus.com/#point-61
-											// Ignore post-resolution exceptions
-											if ( depth + 1 >= maxDepth ) {
-
-												// Only substitute handlers pass on context
-												// and multiple values (non-spec behavior)
-												if ( handler !== Thrower ) {
-													that = undefined;
-													args = [ e ];
-												}
-
-												deferred.rejectWith( that, args );
-											}
-										}
-									};
-
-							// Support: Promises/A+ section 2.3.3.3.1
-							// https://promisesaplus.com/#point-57
-							// Re-resolve promises immediately to dodge false rejection from
-							// subsequent errors
-							if ( depth ) {
-								process();
-							} else {
-
-								// Call an optional hook to record the stack, in case of exception
-								// since it's otherwise lost when execution goes async
-								if ( jQuery.Deferred.getStackHook ) {
-									process.stackTrace = jQuery.Deferred.getStackHook();
-								}
-								window.setTimeout( process );
-							}
-						};
-					}
-
-					return jQuery.Deferred( function( newDefer ) {
-
-						// progress_handlers.add( ... )
-						tuples[ 0 ][ 3 ].add(
-							resolve(
-								0,
-								newDefer,
-								isFunction( onProgress ) ?
-									onProgress :
-									Identity,
-								newDefer.notifyWith
-							)
-						);
-
-						// fulfilled_handlers.add( ... )
-						tuples[ 1 ][ 3 ].add(
-							resolve(
-								0,
-								newDefer,
-								isFunction( onFulfilled ) ?
-									onFulfilled :
-									Identity
-							)
-						);
-
-						// rejected_handlers.add( ... )
-						tuples[ 2 ][ 3 ].add(
-							resolve(
-								0,
-								newDefer,
-								isFunction( onRejected ) ?
-									onRejected :
-									Thrower
-							)
-						);
-					} ).promise();
-				},
-
-				// Get a promise for this deferred
-				// If obj is provided, the promise aspect is added to the object
-				promise: function( obj ) {
-					return obj != null ? jQuery.extend( obj, promise ) : promise;
-				}
-			},
-			deferred = {};
-
-		// Add list-specific methods
-		jQuery.each( tuples, function( i, tuple ) {
-			var list = tuple[ 2 ],
-				stateString = tuple[ 5 ];
-
-			// promise.progress = list.add
-			// promise.done = list.add
-			// promise.fail = list.add
-			promise[ tuple[ 1 ] ] = list.add;
-
-			// Handle state
-			if ( stateString ) {
-				list.add(
-					function() {
-
-						// state = "resolved" (i.e., fulfilled)
-						// state = "rejected"
-						state = stateString;
-					},
-
-					// rejected_callbacks.disable
-					// fulfilled_callbacks.disable
-					tuples[ 3 - i ][ 2 ].disable,
-
-					// rejected_handlers.disable
-					// fulfilled_handlers.disable
-					tuples[ 3 - i ][ 3 ].disable,
-
-					// progress_callbacks.lock
-					tuples[ 0 ][ 2 ].lock,
-
-					// progress_handlers.lock
-					tuples[ 0 ][ 3 ].lock
-				);
-			}
-
-			// progress_handlers.fire
-			// fulfilled_handlers.fire
-			// rejected_handlers.fire
-			list.add( tuple[ 3 ].fire );
-
-			// deferred.notify = function() { deferred.notifyWith(...) }
-			// deferred.resolve = function() { deferred.resolveWith(...) }
-			// deferred.reject = function() { deferred.rejectWith(...) }
-			deferred[ tuple[ 0 ] ] = function() {
-				deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments );
-				return this;
-			};
-
-			// deferred.notifyWith = list.fireWith
-			// deferred.resolveWith = list.fireWith
-			// deferred.rejectWith = list.fireWith
-			deferred[ tuple[ 0 ] + "With" ] = list.fireWith;
-		} );
-
-		// Make the deferred a promise
-		promise.promise( deferred );
-
-		// Call given func if any
-		if ( func ) {
-			func.call( deferred, deferred );
-		}
-
-		// All done!
-		return deferred;
-	},
-
-	// Deferred helper
-	when: function( singleValue ) {
-		var
-
-			// count of uncompleted subordinates
-			remaining = arguments.length,
-
-			// count of unprocessed arguments
-			i = remaining,
-
-			// subordinate fulfillment data
-			resolveContexts = Array( i ),
-			resolveValues = slice.call( arguments ),
-
-			// the primary Deferred
-			primary = jQuery.Deferred(),
-
-			// subordinate callback factory
-			updateFunc = function( i ) {
-				return function( value ) {
-					resolveContexts[ i ] = this;
-					resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value;
-					if ( !( --remaining ) ) {
-						primary.resolveWith( resolveContexts, resolveValues );
-					}
-				};
-			};
-
-		// Single- and empty arguments are adopted like Promise.resolve
-		if ( remaining <= 1 ) {
-			adoptValue( singleValue, primary.done( updateFunc( i ) ).resolve, primary.reject,
-				!remaining );
-
-			// Use .then() to unwrap secondary thenables (cf. gh-3000)
-			if ( primary.state() === "pending" ||
-				isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) {
-
-				return primary.then();
-			}
-		}
-
-		// Multiple arguments are aggregated like Promise.all array elements
-		while ( i-- ) {
-			adoptValue( resolveValues[ i ], updateFunc( i ), primary.reject );
-		}
-
-		return primary.promise();
-	}
-} );
-
-
-// These usually indicate a programmer mistake during development,
-// warn about them ASAP rather than swallowing them by default.
-var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;
-
-jQuery.Deferred.exceptionHook = function( error, stack ) {
-
-	// Support: IE 8 - 9 only
-	// Console exists when dev tools are open, which can happen at any time
-	if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) {
-		window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack );
-	}
-};
-
-
-
-
-jQuery.readyException = function( error ) {
-	window.setTimeout( function() {
-		throw error;
-	} );
-};
-
-
-
-
-// The deferred used on DOM ready
-var readyList = jQuery.Deferred();
-
-jQuery.fn.ready = function( fn ) {
-
-	readyList
-		.then( fn )
-
-		// Wrap jQuery.readyException in a function so that the lookup
-		// happens at the time of error handling instead of callback
-		// registration.
-		.catch( function( error ) {
-			jQuery.readyException( error );
-		} );
-
-	return this;
-};
-
-jQuery.extend( {
-
-	// Is the DOM ready to be used? Set to true once it occurs.
-	isReady: false,
-
-	// A counter to track how many items to wait for before
-	// the ready event fires. See #6781
-	readyWait: 1,
-
-	// Handle when the DOM is ready
-	ready: function( wait ) {
-
-		// Abort if there are pending holds or we're already ready
-		if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) {
-			return;
-		}
-
-		// Remember that the DOM is ready
-		jQuery.isReady = true;
-
-		// If a normal DOM Ready event fired, decrement, and wait if need be
-		if ( wait !== true && --jQuery.readyWait > 0 ) {
-			return;
-		}
-
-		// If there are functions bound, to execute
-		readyList.resolveWith( document, [ jQuery ] );
-	}
-} );
-
-jQuery.ready.then = readyList.then;
-
-// The ready event handler and self cleanup method
-function completed() {
-	document.removeEventListener( "DOMContentLoaded", completed );
-	window.removeEventListener( "load", completed );
-	jQuery.ready();
-}
-
-// Catch cases where $(document).ready() is called
-// after the browser event has already occurred.
-// Support: IE <=9 - 10 only
-// Older IE sometimes signals "interactive" too soon
-if ( document.readyState === "complete" ||
-	( document.readyState !== "loading" && !document.documentElement.doScroll ) ) {
-
-	// Handle it asynchronously to allow scripts the opportunity to delay ready
-	window.setTimeout( jQuery.ready );
-
-} else {
-
-	// Use the handy event callback
-	document.addEventListener( "DOMContentLoaded", completed );
-
-	// A fallback to window.onload, that will always work
-	window.addEventListener( "load", completed );
-}
-
-
-
-
-// Multifunctional method to get and set values of a collection
-// The value/s can optionally be executed if it's a function
-var access = function( elems, fn, key, value, chainable, emptyGet, raw ) {
-	var i = 0,
-		len = elems.length,
-		bulk = key == null;
-
-	// Sets many values
-	if ( toType( key ) === "object" ) {
-		chainable = true;
-		for ( i in key ) {
-			access( elems, fn, i, key[ i ], true, emptyGet, raw );
-		}
-
-	// Sets one value
-	} else if ( value !== undefined ) {
-		chainable = true;
-
-		if ( !isFunction( value ) ) {
-			raw = true;
-		}
-
-		if ( bulk ) {
-
-			// Bulk operations run against the entire set
-			if ( raw ) {
-				fn.call( elems, value );
-				fn = null;
-
-			// ...except when executing function values
-			} else {
-				bulk = fn;
-				fn = function( elem, _key, value ) {
-					return bulk.call( jQuery( elem ), value );
-				};
-			}
-		}
-
-		if ( fn ) {
-			for ( ; i < len; i++ ) {
-				fn(
-					elems[ i ], key, raw ?
-						value :
-						value.call( elems[ i ], i, fn( elems[ i ], key ) )
-				);
-			}
-		}
-	}
-
-	if ( chainable ) {
-		return elems;
-	}
-
-	// Gets
-	if ( bulk ) {
-		return fn.call( elems );
-	}
-
-	return len ? fn( elems[ 0 ], key ) : emptyGet;
-};
-
-
-// Matches dashed string for camelizing
-var rmsPrefix = /^-ms-/,
-	rdashAlpha = /-([a-z])/g;
-
-// Used by camelCase as callback to replace()
-function fcamelCase( _all, letter ) {
-	return letter.toUpperCase();
-}
-
-// Convert dashed to camelCase; used by the css and data modules
-// Support: IE <=9 - 11, Edge 12 - 15
-// Microsoft forgot to hump their vendor prefix (#9572)
-function camelCase( string ) {
-	return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase );
-}
-var acceptData = function( owner ) {
-
-	// Accepts only:
-	//  - Node
-	//    - Node.ELEMENT_NODE
-	//    - Node.DOCUMENT_NODE
-	//  - Object
-	//    - Any
-	return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType );
-};
-
-
-
-
-function Data() {
-	this.expando = jQuery.expando + Data.uid++;
-}
-
-Data.uid = 1;
-
-Data.prototype = {
-
-	cache: function( owner ) {
-
-		// Check if the owner object already has a cache
-		var value = owner[ this.expando ];
-
-		// If not, create one
-		if ( !value ) {
-			value = {};
-
-			// We can accept data for non-element nodes in modern browsers,
-			// but we should not, see #8335.
-			// Always return an empty object.
-			if ( acceptData( owner ) ) {
-
-				// If it is a node unlikely to be stringify-ed or looped over
-				// use plain assignment
-				if ( owner.nodeType ) {
-					owner[ this.expando ] = value;
-
-				// Otherwise secure it in a non-enumerable property
-				// configurable must be true to allow the property to be
-				// deleted when data is removed
-				} else {
-					Object.defineProperty( owner, this.expando, {
-						value: value,
-						configurable: true
-					} );
-				}
-			}
-		}
-
-		return value;
-	},
-	set: function( owner, data, value ) {
-		var prop,
-			cache = this.cache( owner );
-
-		// Handle: [ owner, key, value ] args
-		// Always use camelCase key (gh-2257)
-		if ( typeof data === "string" ) {
-			cache[ camelCase( data ) ] = value;
-
-		// Handle: [ owner, { properties } ] args
-		} else {
-
-			// Copy the properties one-by-one to the cache object
-			for ( prop in data ) {
-				cache[ camelCase( prop ) ] = data[ prop ];
-			}
-		}
-		return cache;
-	},
-	get: function( owner, key ) {
-		return key === undefined ?
-			this.cache( owner ) :
-
-			// Always use camelCase key (gh-2257)
-			owner[ this.expando ] && owner[ this.expando ][ camelCase( key ) ];
-	},
-	access: function( owner, key, value ) {
-
-		// In cases where either:
-		//
-		//   1. No key was specified
-		//   2. A string key was specified, but no value provided
-		//
-		// Take the "read" path and allow the get method to determine
-		// which value to return, respectively either:
-		//
-		//   1. The entire cache object
-		//   2. The data stored at the key
-		//
-		if ( key === undefined ||
-				( ( key && typeof key === "string" ) && value === undefined ) ) {
-
-			return this.get( owner, key );
-		}
-
-		// When the key is not a string, or both a key and value
-		// are specified, set or extend (existing objects) with either:
-		//
-		//   1. An object of properties
-		//   2. A key and value
-		//
-		this.set( owner, key, value );
-
-		// Since the "set" path can have two possible entry points
-		// return the expected data based on which path was taken[*]
-		return value !== undefined ? value : key;
-	},
-	remove: function( owner, key ) {
-		var i,
-			cache = owner[ this.expando ];
-
-		if ( cache === undefined ) {
-			return;
-		}
-
-		if ( key !== undefined ) {
-
-			// Support array or space separated string of keys
-			if ( Array.isArray( key ) ) {
-
-				// If key is an array of keys...
-				// We always set camelCase keys, so remove that.
-				key = key.map( camelCase );
-			} else {
-				key = camelCase( key );
-
-				// If a key with the spaces exists, use it.
-				// Otherwise, create an array by matching non-whitespace
-				key = key in cache ?
-					[ key ] :
-					( key.match( rnothtmlwhite ) || [] );
-			}
-
-			i = key.length;
-
-			while ( i-- ) {
-				delete cache[ key[ i ] ];
-			}
-		}
-
-		// Remove the expando if there's no more data
-		if ( key === undefined || jQuery.isEmptyObject( cache ) ) {
-
-			// Support: Chrome <=35 - 45
-			// Webkit & Blink performance suffers when deleting properties
-			// from DOM nodes, so set to undefined instead
-			// https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted)
-			if ( owner.nodeType ) {
-				owner[ this.expando ] = undefined;
-			} else {
-				delete owner[ this.expando ];
-			}
-		}
-	},
-	hasData: function( owner ) {
-		var cache = owner[ this.expando ];
-		return cache !== undefined && !jQuery.isEmptyObject( cache );
-	}
-};
-var dataPriv = new Data();
-
-var dataUser = new Data();
-
-
-
-//	Implementation Summary
-//
-//	1. Enforce API surface and semantic compatibility with 1.9.x branch
-//	2. Improve the module's maintainability by reducing the storage
-//		paths to a single mechanism.
-//	3. Use the same single mechanism to support "private" and "user" data.
-//	4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData)
-//	5. Avoid exposing implementation details on user objects (eg. expando properties)
-//	6. Provide a clear path for implementation upgrade to WeakMap in 2014
-
-var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,
-	rmultiDash = /[A-Z]/g;
-
-function getData( data ) {
-	if ( data === "true" ) {
-		return true;
-	}
-
-	if ( data === "false" ) {
-		return false;
-	}
-
-	if ( data === "null" ) {
-		return null;
-	}
-
-	// Only convert to a number if it doesn't change the string
-	if ( data === +data + "" ) {
-		return +data;
-	}
-
-	if ( rbrace.test( data ) ) {
-		return JSON.parse( data );
-	}
-
-	return data;
-}
-
-function dataAttr( elem, key, data ) {
-	var name;
-
-	// If nothing was found internally, try to fetch any
-	// data from the HTML5 data-* attribute
-	if ( data === undefined && elem.nodeType === 1 ) {
-		name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase();
-		data = elem.getAttribute( name );
-
-		if ( typeof data === "string" ) {
-			try {
-				data = getData( data );
-			} catch ( e ) {}
-
-			// Make sure we set the data so it isn't changed later
-			dataUser.set( elem, key, data );
-		} else {
-			data = undefined;
-		}
-	}
-	return data;
-}
-
-jQuery.extend( {
-	hasData: function( elem ) {
-		return dataUser.hasData( elem ) || dataPriv.hasData( elem );
-	},
-
-	data: function( elem, name, data ) {
-		return dataUser.access( elem, name, data );
-	},
-
-	removeData: function( elem, name ) {
-		dataUser.remove( elem, name );
-	},
-
-	// TODO: Now that all calls to _data and _removeData have been replaced
-	// with direct calls to dataPriv methods, these can be deprecated.
-	_data: function( elem, name, data ) {
-		return dataPriv.access( elem, name, data );
-	},
-
-	_removeData: function( elem, name ) {
-		dataPriv.remove( elem, name );
-	}
-} );
-
-jQuery.fn.extend( {
-	data: function( key, value ) {
-		var i, name, data,
-			elem = this[ 0 ],
-			attrs = elem && elem.attributes;
-
-		// Gets all values
-		if ( key === undefined ) {
-			if ( this.length ) {
-				data = dataUser.get( elem );
-
-				if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) {
-					i = attrs.length;
-					while ( i-- ) {
-
-						// Support: IE 11 only
-						// The attrs elements can be null (#14894)
-						if ( attrs[ i ] ) {
-							name = attrs[ i ].name;
-							if ( name.indexOf( "data-" ) === 0 ) {
-								name = camelCase( name.slice( 5 ) );
-								dataAttr( elem, name, data[ name ] );
-							}
-						}
-					}
-					dataPriv.set( elem, "hasDataAttrs", true );
-				}
-			}
-
-			return data;
-		}
-
-		// Sets multiple values
-		if ( typeof key === "object" ) {
-			return this.each( function() {
-				dataUser.set( this, key );
-			} );
-		}
-
-		return access( this, function( value ) {
-			var data;
-
-			// The calling jQuery object (element matches) is not empty
-			// (and therefore has an element appears at this[ 0 ]) and the
-			// `value` parameter was not undefined. An empty jQuery object
-			// will result in `undefined` for elem = this[ 0 ] which will
-			// throw an exception if an attempt to read a data cache is made.
-			if ( elem && value === undefined ) {
-
-				// Attempt to get data from the cache
-				// The key will always be camelCased in Data
-				data = dataUser.get( elem, key );
-				if ( data !== undefined ) {
-					return data;
-				}
-
-				// Attempt to "discover" the data in
-				// HTML5 custom data-* attrs
-				data = dataAttr( elem, key );
-				if ( data !== undefined ) {
-					return data;
-				}
-
-				// We tried really hard, but the data doesn't exist.
-				return;
-			}
-
-			// Set the data...
-			this.each( function() {
-
-				// We always store the camelCased key
-				dataUser.set( this, key, value );
-			} );
-		}, null, value, arguments.length > 1, null, true );
-	},
-
-	removeData: function( key ) {
-		return this.each( function() {
-			dataUser.remove( this, key );
-		} );
-	}
-} );
-
-
-jQuery.extend( {
-	queue: function( elem, type, data ) {
-		var queue;
-
-		if ( elem ) {
-			type = ( type || "fx" ) + "queue";
-			queue = dataPriv.get( elem, type );
-
-			// Speed up dequeue by getting out quickly if this is just a lookup
-			if ( data ) {
-				if ( !queue || Array.isArray( data ) ) {
-					queue = dataPriv.access( elem, type, jQuery.makeArray( data ) );
-				} else {
-					queue.push( data );
-				}
-			}
-			return queue || [];
-		}
-	},
-
-	dequeue: function( elem, type ) {
-		type = type || "fx";
-
-		var queue = jQuery.queue( elem, type ),
-			startLength = queue.length,
-			fn = queue.shift(),
-			hooks = jQuery._queueHooks( elem, type ),
-			next = function() {
-				jQuery.dequeue( elem, type );
-			};
-
-		// If the fx queue is dequeued, always remove the progress sentinel
-		if ( fn === "inprogress" ) {
-			fn = queue.shift();
-			startLength--;
-		}
-
-		if ( fn ) {
-
-			// Add a progress sentinel to prevent the fx queue from being
-			// automatically dequeued
-			if ( type === "fx" ) {
-				queue.unshift( "inprogress" );
-			}
-
-			// Clear up the last queue stop function
-			delete hooks.stop;
-			fn.call( elem, next, hooks );
-		}
-
-		if ( !startLength && hooks ) {
-			hooks.empty.fire();
-		}
-	},
-
-	// Not public - generate a queueHooks object, or return the current one
-	_queueHooks: function( elem, type ) {
-		var key = type + "queueHooks";
-		return dataPriv.get( elem, key ) || dataPriv.access( elem, key, {
-			empty: jQuery.Callbacks( "once memory" ).add( function() {
-				dataPriv.remove( elem, [ type + "queue", key ] );
-			} )
-		} );
-	}
-} );
-
-jQuery.fn.extend( {
-	queue: function( type, data ) {
-		var setter = 2;
-
-		if ( typeof type !== "string" ) {
-			data = type;
-			type = "fx";
-			setter--;
-		}
-
-		if ( arguments.length < setter ) {
-			return jQuery.queue( this[ 0 ], type );
-		}
-
-		return data === undefined ?
-			this :
-			this.each( function() {
-				var queue = jQuery.queue( this, type, data );
-
-				// Ensure a hooks for this queue
-				jQuery._queueHooks( this, type );
-
-				if ( type === "fx" && queue[ 0 ] !== "inprogress" ) {
-					jQuery.dequeue( this, type );
-				}
-			} );
-	},
-	dequeue: function( type ) {
-		return this.each( function() {
-			jQuery.dequeue( this, type );
-		} );
-	},
-	clearQueue: function( type ) {
-		return this.queue( type || "fx", [] );
-	},
-
-	// Get a promise resolved when queues of a certain type
-	// are emptied (fx is the type by default)
-	promise: function( type, obj ) {
-		var tmp,
-			count = 1,
-			defer = jQuery.Deferred(),
-			elements = this,
-			i = this.length,
-			resolve = function() {
-				if ( !( --count ) ) {
-					defer.resolveWith( elements, [ elements ] );
-				}
-			};
-
-		if ( typeof type !== "string" ) {
-			obj = type;
-			type = undefined;
-		}
-		type = type || "fx";
-
-		while ( i-- ) {
-			tmp = dataPriv.get( elements[ i ], type + "queueHooks" );
-			if ( tmp && tmp.empty ) {
-				count++;
-				tmp.empty.add( resolve );
-			}
-		}
-		resolve();
-		return defer.promise( obj );
-	}
-} );
-var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source;
-
-var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" );
-
-
-var cssExpand = [ "Top", "Right", "Bottom", "Left" ];
-
-var documentElement = document.documentElement;
-
-
-
-	var isAttached = function( elem ) {
-			return jQuery.contains( elem.ownerDocument, elem );
-		},
-		composed = { composed: true };
-
-	// Support: IE 9 - 11+, Edge 12 - 18+, iOS 10.0 - 10.2 only
-	// Check attachment across shadow DOM boundaries when possible (gh-3504)
-	// Support: iOS 10.0-10.2 only
-	// Early iOS 10 versions support `attachShadow` but not `getRootNode`,
-	// leading to errors. We need to check for `getRootNode`.
-	if ( documentElement.getRootNode ) {
-		isAttached = function( elem ) {
-			return jQuery.contains( elem.ownerDocument, elem ) ||
-				elem.getRootNode( composed ) === elem.ownerDocument;
-		};
-	}
-var isHiddenWithinTree = function( elem, el ) {
-
-		// isHiddenWithinTree might be called from jQuery#filter function;
-		// in that case, element will be second argument
-		elem = el || elem;
-
-		// Inline style trumps all
-		return elem.style.display === "none" ||
-			elem.style.display === "" &&
-
-			// Otherwise, check computed style
-			// Support: Firefox <=43 - 45
-			// Disconnected elements can have computed display: none, so first confirm that elem is
-			// in the document.
-			isAttached( elem ) &&
-
-			jQuery.css( elem, "display" ) === "none";
-	};
-
-
-
-function adjustCSS( elem, prop, valueParts, tween ) {
-	var adjusted, scale,
-		maxIterations = 20,
-		currentValue = tween ?
-			function() {
-				return tween.cur();
-			} :
-			function() {
-				return jQuery.css( elem, prop, "" );
-			},
-		initial = currentValue(),
-		unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ),
-
-		// Starting value computation is required for potential unit mismatches
-		initialInUnit = elem.nodeType &&
-			( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) &&
-			rcssNum.exec( jQuery.css( elem, prop ) );
-
-	if ( initialInUnit && initialInUnit[ 3 ] !== unit ) {
-
-		// Support: Firefox <=54
-		// Halve the iteration target value to prevent interference from CSS upper bounds (gh-2144)
-		initial = initial / 2;
-
-		// Trust units reported by jQuery.css
-		unit = unit || initialInUnit[ 3 ];
-
-		// Iteratively approximate from a nonzero starting point
-		initialInUnit = +initial || 1;
-
-		while ( maxIterations-- ) {
-
-			// Evaluate and update our best guess (doubling guesses that zero out).
-			// Finish if the scale equals or crosses 1 (making the old*new product non-positive).
-			jQuery.style( elem, prop, initialInUnit + unit );
-			if ( ( 1 - scale ) * ( 1 - ( scale = currentValue() / initial || 0.5 ) ) <= 0 ) {
-				maxIterations = 0;
-			}
-			initialInUnit = initialInUnit / scale;
-
-		}
-
-		initialInUnit = initialInUnit * 2;
-		jQuery.style( elem, prop, initialInUnit + unit );
-
-		// Make sure we update the tween properties later on
-		valueParts = valueParts || [];
-	}
-
-	if ( valueParts ) {
-		initialInUnit = +initialInUnit || +initial || 0;
-
-		// Apply relative offset (+=/-=) if specified
-		adjusted = valueParts[ 1 ] ?
-			initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] :
-			+valueParts[ 2 ];
-		if ( tween ) {
-			tween.unit = unit;
-			tween.start = initialInUnit;
-			tween.end = adjusted;
-		}
-	}
-	return adjusted;
-}
-
-
-var defaultDisplayMap = {};
-
-function getDefaultDisplay( elem ) {
-	var temp,
-		doc = elem.ownerDocument,
-		nodeName = elem.nodeName,
-		display = defaultDisplayMap[ nodeName ];
-
-	if ( display ) {
-		return display;
-	}
-
-	temp = doc.body.appendChild( doc.createElement( nodeName ) );
-	display = jQuery.css( temp, "display" );
-
-	temp.parentNode.removeChild( temp );
-
-	if ( display === "none" ) {
-		display = "block";
-	}
-	defaultDisplayMap[ nodeName ] = display;
-
-	return display;
-}
-
-function showHide( elements, show ) {
-	var display, elem,
-		values = [],
-		index = 0,
-		length = elements.length;
-
-	// Determine new display value for elements that need to change
-	for ( ; index < length; index++ ) {
-		elem = elements[ index ];
-		if ( !elem.style ) {
-			continue;
-		}
-
-		display = elem.style.display;
-		if ( show ) {
-
-			// Since we force visibility upon cascade-hidden elements, an immediate (and slow)
-			// check is required in this first loop unless we have a nonempty display value (either
-			// inline or about-to-be-restored)
-			if ( display === "none" ) {
-				values[ index ] = dataPriv.get( elem, "display" ) || null;
-				if ( !values[ index ] ) {
-					elem.style.display = "";
-				}
-			}
-			if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) {
-				values[ index ] = getDefaultDisplay( elem );
-			}
-		} else {
-			if ( display !== "none" ) {
-				values[ index ] = "none";
-
-				// Remember what we're overwriting
-				dataPriv.set( elem, "display", display );
-			}
-		}
-	}
-
-	// Set the display of the elements in a second loop to avoid constant reflow
-	for ( index = 0; index < length; index++ ) {
-		if ( values[ index ] != null ) {
-			elements[ index ].style.display = values[ index ];
-		}
-	}
-
-	return elements;
-}
-
-jQuery.fn.extend( {
-	show: function() {
-		return showHide( this, true );
-	},
-	hide: function() {
-		return showHide( this );
-	},
-	toggle: function( state ) {
-		if ( typeof state === "boolean" ) {
-			return state ? this.show() : this.hide();
-		}
-
-		return this.each( function() {
-			if ( isHiddenWithinTree( this ) ) {
-				jQuery( this ).show();
-			} else {
-				jQuery( this ).hide();
-			}
-		} );
-	}
-} );
-var rcheckableType = ( /^(?:checkbox|radio)$/i );
-
-var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]*)/i );
-
-var rscriptType = ( /^$|^module$|\/(?:java|ecma)script/i );
-
-
-
-( function() {
-	var fragment = document.createDocumentFragment(),
-		div = fragment.appendChild( document.createElement( "div" ) ),
-		input = document.createElement( "input" );
-
-	// Support: Android 4.0 - 4.3 only
-	// Check state lost if the name is set (#11217)
-	// Support: Windows Web Apps (WWA)
-	// `name` and `type` must use .setAttribute for WWA (#14901)
-	input.setAttribute( "type", "radio" );
-	input.setAttribute( "checked", "checked" );
-	input.setAttribute( "name", "t" );
-
-	div.appendChild( input );
-
-	// Support: Android <=4.1 only
-	// Older WebKit doesn't clone checked state correctly in fragments
-	support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked;
-
-	// Support: IE <=11 only
-	// Make sure textarea (and checkbox) defaultValue is properly cloned
-	div.innerHTML = "<textarea>x</textarea>";
-	support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue;
-
-	// Support: IE <=9 only
-	// IE <=9 replaces <option> tags with their contents when inserted outside of
-	// the select element.
-	div.innerHTML = "<option></option>";
-	support.option = !!div.lastChild;
-} )();
-
-
-// We have to close these tags to support XHTML (#13200)
-var wrapMap = {
-
-	// XHTML parsers do not magically insert elements in the
-	// same way that tag soup parsers do. So we cannot shorten
-	// this by omitting <tbody> or other required elements.
-	thead: [ 1, "<table>", "</table>" ],
-	col: [ 2, "<table><colgroup>", "</colgroup></table>" ],
-	tr: [ 2, "<table><tbody>", "</tbody></table>" ],
-	td: [ 3, "<table><tbody><tr>", "</tr></tbody></table>" ],
-
-	_default: [ 0, "", "" ]
-};
-
-wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead;
-wrapMap.th = wrapMap.td;
-
-// Support: IE <=9 only
-if ( !support.option ) {
-	wrapMap.optgroup = wrapMap.option = [ 1, "<select multiple='multiple'>", "</select>" ];
-}
-
-
-function getAll( context, tag ) {
-
-	// Support: IE <=9 - 11 only
-	// Use typeof to avoid zero-argument method invocation on host objects (#15151)
-	var ret;
-
-	if ( typeof context.getElementsByTagName !== "undefined" ) {
-		ret = context.getElementsByTagName( tag || "*" );
-
-	} else if ( typeof context.querySelectorAll !== "undefined" ) {
-		ret = context.querySelectorAll( tag || "*" );
-
-	} else {
-		ret = [];
-	}
-
-	if ( tag === undefined || tag && nodeName( context, tag ) ) {
-		return jQuery.merge( [ context ], ret );
-	}
-
-	return ret;
-}
-
-
-// Mark scripts as having already been evaluated
-function setGlobalEval( elems, refElements ) {
-	var i = 0,
-		l = elems.length;
-
-	for ( ; i < l; i++ ) {
-		dataPriv.set(
-			elems[ i ],
-			"globalEval",
-			!refElements || dataPriv.get( refElements[ i ], "globalEval" )
-		);
-	}
-}
-
-
-var rhtml = /<|&#?\w+;/;
-
-function buildFragment( elems, context, scripts, selection, ignored ) {
-	var elem, tmp, tag, wrap, attached, j,
-		fragment = context.createDocumentFragment(),
-		nodes = [],
-		i = 0,
-		l = elems.length;
-
-	for ( ; i < l; i++ ) {
-		elem = elems[ i ];
-
-		if ( elem || elem === 0 ) {
-
-			// Add nodes directly
-			if ( toType( elem ) === "object" ) {
-
-				// Support: Android <=4.0 only, PhantomJS 1 only
-				// push.apply(_, arraylike) throws on ancient WebKit
-				jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem );
-
-			// Convert non-html into a text node
-			} else if ( !rhtml.test( elem ) ) {
-				nodes.push( context.createTextNode( elem ) );
-
-			// Convert html into DOM nodes
-			} else {
-				tmp = tmp || fragment.appendChild( context.createElement( "div" ) );
-
-				// Deserialize a standard representation
-				tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase();
-				wrap = wrapMap[ tag ] || wrapMap._default;
-				tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ];
-
-				// Descend through wrappers to the right content
-				j = wrap[ 0 ];
-				while ( j-- ) {
-					tmp = tmp.lastChild;
-				}
-
-				// Support: Android <=4.0 only, PhantomJS 1 only
-				// push.apply(_, arraylike) throws on ancient WebKit
-				jQuery.merge( nodes, tmp.childNodes );
-
-				// Remember the top-level container
-				tmp = fragment.firstChild;
-
-				// Ensure the created nodes are orphaned (#12392)
-				tmp.textContent = "";
-			}
-		}
-	}
-
-	// Remove wrapper from fragment
-	fragment.textContent = "";
-
-	i = 0;
-	while ( ( elem = nodes[ i++ ] ) ) {
-
-		// Skip elements already in the context collection (trac-4087)
-		if ( selection && jQuery.inArray( elem, selection ) > -1 ) {
-			if ( ignored ) {
-				ignored.push( elem );
-			}
-			continue;
-		}
-
-		attached = isAttached( elem );
-
-		// Append to fragment
-		tmp = getAll( fragment.appendChild( elem ), "script" );
-
-		// Preserve script evaluation history
-		if ( attached ) {
-			setGlobalEval( tmp );
-		}
-
-		// Capture executables
-		if ( scripts ) {
-			j = 0;
-			while ( ( elem = tmp[ j++ ] ) ) {
-				if ( rscriptType.test( elem.type || "" ) ) {
-					scripts.push( elem );
-				}
-			}
-		}
-	}
-
-	return fragment;
-}
-
-
-var rtypenamespace = /^([^.]*)(?:\.(.+)|)/;
-
-function returnTrue() {
-	return true;
-}
-
-function returnFalse() {
-	return false;
-}
-
-// Support: IE <=9 - 11+
-// focus() and blur() are asynchronous, except when they are no-op.
-// So expect focus to be synchronous when the element is already active,
-// and blur to be synchronous when the element is not already active.
-// (focus and blur are always synchronous in other supported browsers,
-// this just defines when we can count on it).
-function expectSync( elem, type ) {
-	return ( elem === safeActiveElement() ) === ( type === "focus" );
-}
-
-// Support: IE <=9 only
-// Accessing document.activeElement can throw unexpectedly
-// https://bugs.jquery.com/ticket/13393
-function safeActiveElement() {
-	try {
-		return document.activeElement;
-	} catch ( err ) { }
-}
-
-function on( elem, types, selector, data, fn, one ) {
-	var origFn, type;
-
-	// Types can be a map of types/handlers
-	if ( typeof types === "object" ) {
-
-		// ( types-Object, selector, data )
-		if ( typeof selector !== "string" ) {
-
-			// ( types-Object, data )
-			data = data || selector;
-			selector = undefined;
-		}
-		for ( type in types ) {
-			on( elem, type, selector, data, types[ type ], one );
-		}
-		return elem;
-	}
-
-	if ( data == null && fn == null ) {
-
-		// ( types, fn )
-		fn = selector;
-		data = selector = undefined;
-	} else if ( fn == null ) {
-		if ( typeof selector === "string" ) {
-
-			// ( types, selector, fn )
-			fn = data;
-			data = undefined;
-		} else {
-
-			// ( types, data, fn )
-			fn = data;
-			data = selector;
-			selector = undefined;
-		}
-	}
-	if ( fn === false ) {
-		fn = returnFalse;
-	} else if ( !fn ) {
-		return elem;
-	}
-
-	if ( one === 1 ) {
-		origFn = fn;
-		fn = function( event ) {
-
-			// Can use an empty set, since event contains the info
-			jQuery().off( event );
-			return origFn.apply( this, arguments );
-		};
-
-		// Use same guid so caller can remove using origFn
-		fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ );
-	}
-	return elem.each( function() {
-		jQuery.event.add( this, types, fn, data, selector );
-	} );
-}
-
-/*
- * Helper functions for managing events -- not part of the public interface.
- * Props to Dean Edwards' addEvent library for many of the ideas.
- */
-jQuery.event = {
-
-	global: {},
-
-	add: function( elem, types, handler, data, selector ) {
-
-		var handleObjIn, eventHandle, tmp,
-			events, t, handleObj,
-			special, handlers, type, namespaces, origType,
-			elemData = dataPriv.get( elem );
-
-		// Only attach events to objects that accept data
-		if ( !acceptData( elem ) ) {
-			return;
-		}
-
-		// Caller can pass in an object of custom data in lieu of the handler
-		if ( handler.handler ) {
-			handleObjIn = handler;
-			handler = handleObjIn.handler;
-			selector = handleObjIn.selector;
-		}
-
-		// Ensure that invalid selectors throw exceptions at attach time
-		// Evaluate against documentElement in case elem is a non-element node (e.g., document)
-		if ( selector ) {
-			jQuery.find.matchesSelector( documentElement, selector );
-		}
-
-		// Make sure that the handler has a unique ID, used to find/remove it later
-		if ( !handler.guid ) {
-			handler.guid = jQuery.guid++;
-		}
-
-		// Init the element's event structure and main handler, if this is the first
-		if ( !( events = elemData.events ) ) {
-			events = elemData.events = Object.create( null );
-		}
-		if ( !( eventHandle = elemData.handle ) ) {
-			eventHandle = elemData.handle = function( e ) {
-
-				// Discard the second event of a jQuery.event.trigger() and
-				// when an event is called after a page has unloaded
-				return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ?
-					jQuery.event.dispatch.apply( elem, arguments ) : undefined;
-			};
-		}
-
-		// Handle multiple events separated by a space
-		types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
-		t = types.length;
-		while ( t-- ) {
-			tmp = rtypenamespace.exec( types[ t ] ) || [];
-			type = origType = tmp[ 1 ];
-			namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
-
-			// There *must* be a type, no attaching namespace-only handlers
-			if ( !type ) {
-				continue;
-			}
-
-			// If event changes its type, use the special event handlers for the changed type
-			special = jQuery.event.special[ type ] || {};
-
-			// If selector defined, determine special event api type, otherwise given type
-			type = ( selector ? special.delegateType : special.bindType ) || type;
-
-			// Update special based on newly reset type
-			special = jQuery.event.special[ type ] || {};
-
-			// handleObj is passed to all event handlers
-			handleObj = jQuery.extend( {
-				type: type,
-				origType: origType,
-				data: data,
-				handler: handler,
-				guid: handler.guid,
-				selector: selector,
-				needsContext: selector && jQuery.expr.match.needsContext.test( selector ),
-				namespace: namespaces.join( "." )
-			}, handleObjIn );
-
-			// Init the event handler queue if we're the first
-			if ( !( handlers = events[ type ] ) ) {
-				handlers = events[ type ] = [];
-				handlers.delegateCount = 0;
-
-				// Only use addEventListener if the special events handler returns false
-				if ( !special.setup ||
-					special.setup.call( elem, data, namespaces, eventHandle ) === false ) {
-
-					if ( elem.addEventListener ) {
-						elem.addEventListener( type, eventHandle );
-					}
-				}
-			}
-
-			if ( special.add ) {
-				special.add.call( elem, handleObj );
-
-				if ( !handleObj.handler.guid ) {
-					handleObj.handler.guid = handler.guid;
-				}
-			}
-
-			// Add to the element's handler list, delegates in front
-			if ( selector ) {
-				handlers.splice( handlers.delegateCount++, 0, handleObj );
-			} else {
-				handlers.push( handleObj );
-			}
-
-			// Keep track of which events have ever been used, for event optimization
-			jQuery.event.global[ type ] = true;
-		}
-
-	},
-
-	// Detach an event or set of events from an element
-	remove: function( elem, types, handler, selector, mappedTypes ) {
-
-		var j, origCount, tmp,
-			events, t, handleObj,
-			special, handlers, type, namespaces, origType,
-			elemData = dataPriv.hasData( elem ) && dataPriv.get( elem );
-
-		if ( !elemData || !( events = elemData.events ) ) {
-			return;
-		}
-
-		// Once for each type.namespace in types; type may be omitted
-		types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
-		t = types.length;
-		while ( t-- ) {
-			tmp = rtypenamespace.exec( types[ t ] ) || [];
-			type = origType = tmp[ 1 ];
-			namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
-
-			// Unbind all events (on this namespace, if provided) for the element
-			if ( !type ) {
-				for ( type in events ) {
-					jQuery.event.remove( elem, type + types[ t ], handler, selector, true );
-				}
-				continue;
-			}
-
-			special = jQuery.event.special[ type ] || {};
-			type = ( selector ? special.delegateType : special.bindType ) || type;
-			handlers = events[ type ] || [];
-			tmp = tmp[ 2 ] &&
-				new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" );
-
-			// Remove matching events
-			origCount = j = handlers.length;
-			while ( j-- ) {
-				handleObj = handlers[ j ];
-
-				if ( ( mappedTypes || origType === handleObj.origType ) &&
-					( !handler || handler.guid === handleObj.guid ) &&
-					( !tmp || tmp.test( handleObj.namespace ) ) &&
-					( !selector || selector === handleObj.selector ||
-						selector === "**" && handleObj.selector ) ) {
-					handlers.splice( j, 1 );
-
-					if ( handleObj.selector ) {
-						handlers.delegateCount--;
-					}
-					if ( special.remove ) {
-						special.remove.call( elem, handleObj );
-					}
-				}
-			}
-
-			// Remove generic event handler if we removed something and no more handlers exist
-			// (avoids potential for endless recursion during removal of special event handlers)
-			if ( origCount && !handlers.length ) {
-				if ( !special.teardown ||
-					special.teardown.call( elem, namespaces, elemData.handle ) === false ) {
-
-					jQuery.removeEvent( elem, type, elemData.handle );
-				}
-
-				delete events[ type ];
-			}
-		}
-
-		// Remove data and the expando if it's no longer used
-		if ( jQuery.isEmptyObject( events ) ) {
-			dataPriv.remove( elem, "handle events" );
-		}
-	},
-
-	dispatch: function( nativeEvent ) {
-
-		var i, j, ret, matched, handleObj, handlerQueue,
-			args = new Array( arguments.length ),
-
-			// Make a writable jQuery.Event from the native event object
-			event = jQuery.event.fix( nativeEvent ),
-
-			handlers = (
-				dataPriv.get( this, "events" ) || Object.create( null )
-			)[ event.type ] || [],
-			special = jQuery.event.special[ event.type ] || {};
-
-		// Use the fix-ed jQuery.Event rather than the (read-only) native event
-		args[ 0 ] = event;
-
-		for ( i = 1; i < arguments.length; i++ ) {
-			args[ i ] = arguments[ i ];
-		}
-
-		event.delegateTarget = this;
-
-		// Call the preDispatch hook for the mapped type, and let it bail if desired
-		if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) {
-			return;
-		}
-
-		// Determine handlers
-		handlerQueue = jQuery.event.handlers.call( this, event, handlers );
-
-		// Run delegates first; they may want to stop propagation beneath us
-		i = 0;
-		while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) {
-			event.currentTarget = matched.elem;
-
-			j = 0;
-			while ( ( handleObj = matched.handlers[ j++ ] ) &&
-				!event.isImmediatePropagationStopped() ) {
-
-				// If the event is namespaced, then each handler is only invoked if it is
-				// specially universal or its namespaces are a superset of the event's.
-				if ( !event.rnamespace || handleObj.namespace === false ||
-					event.rnamespace.test( handleObj.namespace ) ) {
-
-					event.handleObj = handleObj;
-					event.data = handleObj.data;
-
-					ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle ||
-						handleObj.handler ).apply( matched.elem, args );
-
-					if ( ret !== undefined ) {
-						if ( ( event.result = ret ) === false ) {
-							event.preventDefault();
-							event.stopPropagation();
-						}
-					}
-				}
-			}
-		}
-
-		// Call the postDispatch hook for the mapped type
-		if ( special.postDispatch ) {
-			special.postDispatch.call( this, event );
-		}
-
-		return event.result;
-	},
-
-	handlers: function( event, handlers ) {
-		var i, handleObj, sel, matchedHandlers, matchedSelectors,
-			handlerQueue = [],
-			delegateCount = handlers.delegateCount,
-			cur = event.target;
-
-		// Find delegate handlers
-		if ( delegateCount &&
-
-			// Support: IE <=9
-			// Black-hole SVG <use> instance trees (trac-13180)
-			cur.nodeType &&
-
-			// Support: Firefox <=42
-			// Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861)
-			// https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click
-			// Support: IE 11 only
-			// ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343)
-			!( event.type === "click" && event.button >= 1 ) ) {
-
-			for ( ; cur !== this; cur = cur.parentNode || this ) {
-
-				// Don't check non-elements (#13208)
-				// Don't process clicks on disabled elements (#6911, #8165, #11382, #11764)
-				if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) {
-					matchedHandlers = [];
-					matchedSelectors = {};
-					for ( i = 0; i < delegateCount; i++ ) {
-						handleObj = handlers[ i ];
-
-						// Don't conflict with Object.prototype properties (#13203)
-						sel = handleObj.selector + " ";
-
-						if ( matchedSelectors[ sel ] === undefined ) {
-							matchedSelectors[ sel ] = handleObj.needsContext ?
-								jQuery( sel, this ).index( cur ) > -1 :
-								jQuery.find( sel, this, null, [ cur ] ).length;
-						}
-						if ( matchedSelectors[ sel ] ) {
-							matchedHandlers.push( handleObj );
-						}
-					}
-					if ( matchedHandlers.length ) {
-						handlerQueue.push( { elem: cur, handlers: matchedHandlers } );
-					}
-				}
-			}
-		}
-
-		// Add the remaining (directly-bound) handlers
-		cur = this;
-		if ( delegateCount < handlers.length ) {
-			handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } );
-		}
-
-		return handlerQueue;
-	},
-
-	addProp: function( name, hook ) {
-		Object.defineProperty( jQuery.Event.prototype, name, {
-			enumerable: true,
-			configurable: true,
-
-			get: isFunction( hook ) ?
-				function() {
-					if ( this.originalEvent ) {
-						return hook( this.originalEvent );
-					}
-				} :
-				function() {
-					if ( this.originalEvent ) {
-						return this.originalEvent[ name ];
-					}
-				},
-
-			set: function( value ) {
-				Object.defineProperty( this, name, {
-					enumerable: true,
-					configurable: true,
-					writable: true,
-					value: value
-				} );
-			}
-		} );
-	},
-
-	fix: function( originalEvent ) {
-		return originalEvent[ jQuery.expando ] ?
-			originalEvent :
-			new jQuery.Event( originalEvent );
-	},
-
-	special: {
-		load: {
-
-			// Prevent triggered image.load events from bubbling to window.load
-			noBubble: true
-		},
-		click: {
-
-			// Utilize native event to ensure correct state for checkable inputs
-			setup: function( data ) {
-
-				// For mutual compressibility with _default, replace `this` access with a local var.
-				// `|| data` is dead code meant only to preserve the variable through minification.
-				var el = this || data;
-
-				// Claim the first handler
-				if ( rcheckableType.test( el.type ) &&
-					el.click && nodeName( el, "input" ) ) {
-
-					// dataPriv.set( el, "click", ... )
-					leverageNative( el, "click", returnTrue );
-				}
-
-				// Return false to allow normal processing in the caller
-				return false;
-			},
-			trigger: function( data ) {
-
-				// For mutual compressibility with _default, replace `this` access with a local var.
-				// `|| data` is dead code meant only to preserve the variable through minification.
-				var el = this || data;
-
-				// Force setup before triggering a click
-				if ( rcheckableType.test( el.type ) &&
-					el.click && nodeName( el, "input" ) ) {
-
-					leverageNative( el, "click" );
-				}
-
-				// Return non-false to allow normal event-path propagation
-				return true;
-			},
-
-			// For cross-browser consistency, suppress native .click() on links
-			// Also prevent it if we're currently inside a leveraged native-event stack
-			_default: function( event ) {
-				var target = event.target;
-				return rcheckableType.test( target.type ) &&
-					target.click && nodeName( target, "input" ) &&
-					dataPriv.get( target, "click" ) ||
-					nodeName( target, "a" );
-			}
-		},
-
-		beforeunload: {
-			postDispatch: function( event ) {
-
-				// Support: Firefox 20+
-				// Firefox doesn't alert if the returnValue field is not set.
-				if ( event.result !== undefined && event.originalEvent ) {
-					event.originalEvent.returnValue = event.result;
-				}
-			}
-		}
-	}
-};
-
-// Ensure the presence of an event listener that handles manually-triggered
-// synthetic events by interrupting progress until reinvoked in response to
-// *native* events that it fires directly, ensuring that state changes have
-// already occurred before other listeners are invoked.
-function leverageNative( el, type, expectSync ) {
-
-	// Missing expectSync indicates a trigger call, which must force setup through jQuery.event.add
-	if ( !expectSync ) {
-		if ( dataPriv.get( el, type ) === undefined ) {
-			jQuery.event.add( el, type, returnTrue );
-		}
-		return;
-	}
-
-	// Register the controller as a special universal handler for all event namespaces
-	dataPriv.set( el, type, false );
-	jQuery.event.add( el, type, {
-		namespace: false,
-		handler: function( event ) {
-			var notAsync, result,
-				saved = dataPriv.get( this, type );
-
-			if ( ( event.isTrigger & 1 ) && this[ type ] ) {
-
-				// Interrupt processing of the outer synthetic .trigger()ed event
-				// Saved data should be false in such cases, but might be a leftover capture object
-				// from an async native handler (gh-4350)
-				if ( !saved.length ) {
-
-					// Store arguments for use when handling the inner native event
-					// There will always be at least one argument (an event object), so this array
-					// will not be confused with a leftover capture object.
-					saved = slice.call( arguments );
-					dataPriv.set( this, type, saved );
-
-					// Trigger the native event and capture its result
-					// Support: IE <=9 - 11+
-					// focus() and blur() are asynchronous
-					notAsync = expectSync( this, type );
-					this[ type ]();
-					result = dataPriv.get( this, type );
-					if ( saved !== result || notAsync ) {
-						dataPriv.set( this, type, false );
-					} else {
-						result = {};
-					}
-					if ( saved !== result ) {
-
-						// Cancel the outer synthetic event
-						event.stopImmediatePropagation();
-						event.preventDefault();
-
-						// Support: Chrome 86+
-						// In Chrome, if an element having a focusout handler is blurred by
-						// clicking outside of it, it invokes the handler synchronously. If
-						// that handler calls `.remove()` on the element, the data is cleared,
-						// leaving `result` undefined. We need to guard against this.
-						return result && result.value;
-					}
-
-				// If this is an inner synthetic event for an event with a bubbling surrogate
-				// (focus or blur), assume that the surrogate already propagated from triggering the
-				// native event and prevent that from happening again here.
-				// This technically gets the ordering wrong w.r.t. to `.trigger()` (in which the
-				// bubbling surrogate propagates *after* the non-bubbling base), but that seems
-				// less bad than duplication.
-				} else if ( ( jQuery.event.special[ type ] || {} ).delegateType ) {
-					event.stopPropagation();
-				}
-
-			// If this is a native event triggered above, everything is now in order
-			// Fire an inner synthetic event with the original arguments
-			} else if ( saved.length ) {
-
-				// ...and capture the result
-				dataPriv.set( this, type, {
-					value: jQuery.event.trigger(
-
-						// Support: IE <=9 - 11+
-						// Extend with the prototype to reset the above stopImmediatePropagation()
-						jQuery.extend( saved[ 0 ], jQuery.Event.prototype ),
-						saved.slice( 1 ),
-						this
-					)
-				} );
-
-				// Abort handling of the native event
-				event.stopImmediatePropagation();
-			}
-		}
-	} );
-}
-
-jQuery.removeEvent = function( elem, type, handle ) {
-
-	// This "if" is needed for plain objects
-	if ( elem.removeEventListener ) {
-		elem.removeEventListener( type, handle );
-	}
-};
-
-jQuery.Event = function( src, props ) {
-
-	// Allow instantiation without the 'new' keyword
-	if ( !( this instanceof jQuery.Event ) ) {
-		return new jQuery.Event( src, props );
-	}
-
-	// Event object
-	if ( src && src.type ) {
-		this.originalEvent = src;
-		this.type = src.type;
-
-		// Events bubbling up the document may have been marked as prevented
-		// by a handler lower down the tree; reflect the correct value.
-		this.isDefaultPrevented = src.defaultPrevented ||
-				src.defaultPrevented === undefined &&
-
-				// Support: Android <=2.3 only
-				src.returnValue === false ?
-			returnTrue :
-			returnFalse;
-
-		// Create target properties
-		// Support: Safari <=6 - 7 only
-		// Target should not be a text node (#504, #13143)
-		this.target = ( src.target && src.target.nodeType === 3 ) ?
-			src.target.parentNode :
-			src.target;
-
-		this.currentTarget = src.currentTarget;
-		this.relatedTarget = src.relatedTarget;
-
-	// Event type
-	} else {
-		this.type = src;
-	}
-
-	// Put explicitly provided properties onto the event object
-	if ( props ) {
-		jQuery.extend( this, props );
-	}
-
-	// Create a timestamp if incoming event doesn't have one
-	this.timeStamp = src && src.timeStamp || Date.now();
-
-	// Mark it as fixed
-	this[ jQuery.expando ] = true;
-};
-
-// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding
-// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html
-jQuery.Event.prototype = {
-	constructor: jQuery.Event,
-	isDefaultPrevented: returnFalse,
-	isPropagationStopped: returnFalse,
-	isImmediatePropagationStopped: returnFalse,
-	isSimulated: false,
-
-	preventDefault: function() {
-		var e = this.originalEvent;
-
-		this.isDefaultPrevented = returnTrue;
-
-		if ( e && !this.isSimulated ) {
-			e.preventDefault();
-		}
-	},
-	stopPropagation: function() {
-		var e = this.originalEvent;
-
-		this.isPropagationStopped = returnTrue;
-
-		if ( e && !this.isSimulated ) {
-			e.stopPropagation();
-		}
-	},
-	stopImmediatePropagation: function() {
-		var e = this.originalEvent;
-
-		this.isImmediatePropagationStopped = returnTrue;
-
-		if ( e && !this.isSimulated ) {
-			e.stopImmediatePropagation();
-		}
-
-		this.stopPropagation();
-	}
-};
-
-// Includes all common event props including KeyEvent and MouseEvent specific props
-jQuery.each( {
-	altKey: true,
-	bubbles: true,
-	cancelable: true,
-	changedTouches: true,
-	ctrlKey: true,
-	detail: true,
-	eventPhase: true,
-	metaKey: true,
-	pageX: true,
-	pageY: true,
-	shiftKey: true,
-	view: true,
-	"char": true,
-	code: true,
-	charCode: true,
-	key: true,
-	keyCode: true,
-	button: true,
-	buttons: true,
-	clientX: true,
-	clientY: true,
-	offsetX: true,
-	offsetY: true,
-	pointerId: true,
-	pointerType: true,
-	screenX: true,
-	screenY: true,
-	targetTouches: true,
-	toElement: true,
-	touches: true,
-	which: true
-}, jQuery.event.addProp );
-
-jQuery.each( { focus: "focusin", blur: "focusout" }, function( type, delegateType ) {
-	jQuery.event.special[ type ] = {
-
-		// Utilize native event if possible so blur/focus sequence is correct
-		setup: function() {
-
-			// Claim the first handler
-			// dataPriv.set( this, "focus", ... )
-			// dataPriv.set( this, "blur", ... )
-			leverageNative( this, type, expectSync );
-
-			// Return false to allow normal processing in the caller
-			return false;
-		},
-		trigger: function() {
-
-			// Force setup before trigger
-			leverageNative( this, type );
-
-			// Return non-false to allow normal event-path propagation
-			return true;
-		},
-
-		// Suppress native focus or blur as it's already being fired
-		// in leverageNative.
-		_default: function() {
-			return true;
-		},
-
-		delegateType: delegateType
-	};
-} );
-
-// Create mouseenter/leave events using mouseover/out and event-time checks
-// so that event delegation works in jQuery.
-// Do the same for pointerenter/pointerleave and pointerover/pointerout
-//
-// Support: Safari 7 only
-// Safari sends mouseenter too often; see:
-// https://bugs.chromium.org/p/chromium/issues/detail?id=470258
-// for the description of the bug (it existed in older Chrome versions as well).
-jQuery.each( {
-	mouseenter: "mouseover",
-	mouseleave: "mouseout",
-	pointerenter: "pointerover",
-	pointerleave: "pointerout"
-}, function( orig, fix ) {
-	jQuery.event.special[ orig ] = {
-		delegateType: fix,
-		bindType: fix,
-
-		handle: function( event ) {
-			var ret,
-				target = this,
-				related = event.relatedTarget,
-				handleObj = event.handleObj;
-
-			// For mouseenter/leave call the handler if related is outside the target.
-			// NB: No relatedTarget if the mouse left/entered the browser window
-			if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) {
-				event.type = handleObj.origType;
-				ret = handleObj.handler.apply( this, arguments );
-				event.type = fix;
-			}
-			return ret;
-		}
-	};
-} );
-
-jQuery.fn.extend( {
-
-	on: function( types, selector, data, fn ) {
-		return on( this, types, selector, data, fn );
-	},
-	one: function( types, selector, data, fn ) {
-		return on( this, types, selector, data, fn, 1 );
-	},
-	off: function( types, selector, fn ) {
-		var handleObj, type;
-		if ( types && types.preventDefault && types.handleObj ) {
-
-			// ( event )  dispatched jQuery.Event
-			handleObj = types.handleObj;
-			jQuery( types.delegateTarget ).off(
-				handleObj.namespace ?
-					handleObj.origType + "." + handleObj.namespace :
-					handleObj.origType,
-				handleObj.selector,
-				handleObj.handler
-			);
-			return this;
-		}
-		if ( typeof types === "object" ) {
-
-			// ( types-object [, selector] )
-			for ( type in types ) {
-				this.off( type, selector, types[ type ] );
-			}
-			return this;
-		}
-		if ( selector === false || typeof selector === "function" ) {
-
-			// ( types [, fn] )
-			fn = selector;
-			selector = undefined;
-		}
-		if ( fn === false ) {
-			fn = returnFalse;
-		}
-		return this.each( function() {
-			jQuery.event.remove( this, types, fn, selector );
-		} );
-	}
-} );
-
-
-var
-
-	// Support: IE <=10 - 11, Edge 12 - 13 only
-	// In IE/Edge using regex groups here causes severe slowdowns.
-	// See https://connect.microsoft.com/IE/feedback/details/1736512/
-	rnoInnerhtml = /<script|<style|<link/i,
-
-	// checked="checked" or checked
-	rchecked = /checked\s*(?:[^=]|=\s*.checked.)/i,
-	rcleanScript = /^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;
-
-// Prefer a tbody over its parent table for containing new rows
-function manipulationTarget( elem, content ) {
-	if ( nodeName( elem, "table" ) &&
-		nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) {
-
-		return jQuery( elem ).children( "tbody" )[ 0 ] || elem;
-	}
-
-	return elem;
-}
-
-// Replace/restore the type attribute of script elements for safe DOM manipulation
-function disableScript( elem ) {
-	elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type;
-	return elem;
-}
-function restoreScript( elem ) {
-	if ( ( elem.type || "" ).slice( 0, 5 ) === "true/" ) {
-		elem.type = elem.type.slice( 5 );
-	} else {
-		elem.removeAttribute( "type" );
-	}
-
-	return elem;
-}
-
-function cloneCopyEvent( src, dest ) {
-	var i, l, type, pdataOld, udataOld, udataCur, events;
-
-	if ( dest.nodeType !== 1 ) {
-		return;
-	}
-
-	// 1. Copy private data: events, handlers, etc.
-	if ( dataPriv.hasData( src ) ) {
-		pdataOld = dataPriv.get( src );
-		events = pdataOld.events;
-
-		if ( events ) {
-			dataPriv.remove( dest, "handle events" );
-
-			for ( type in events ) {
-				for ( i = 0, l = events[ type ].length; i < l; i++ ) {
-					jQuery.event.add( dest, type, events[ type ][ i ] );
-				}
-			}
-		}
-	}
-
-	// 2. Copy user data
-	if ( dataUser.hasData( src ) ) {
-		udataOld = dataUser.access( src );
-		udataCur = jQuery.extend( {}, udataOld );
-
-		dataUser.set( dest, udataCur );
-	}
-}
-
-// Fix IE bugs, see support tests
-function fixInput( src, dest ) {
-	var nodeName = dest.nodeName.toLowerCase();
-
-	// Fails to persist the checked state of a cloned checkbox or radio button.
-	if ( nodeName === "input" && rcheckableType.test( src.type ) ) {
-		dest.checked = src.checked;
-
-	// Fails to return the selected option to the default selected state when cloning options
-	} else if ( nodeName === "input" || nodeName === "textarea" ) {
-		dest.defaultValue = src.defaultValue;
-	}
-}
-
-function domManip( collection, args, callback, ignored ) {
-
-	// Flatten any nested arrays
-	args = flat( args );
-
-	var fragment, first, scripts, hasScripts, node, doc,
-		i = 0,
-		l = collection.length,
-		iNoClone = l - 1,
-		value = args[ 0 ],
-		valueIsFunction = isFunction( value );
-
-	// We can't cloneNode fragments that contain checked, in WebKit
-	if ( valueIsFunction ||
-			( l > 1 && typeof value === "string" &&
-				!support.checkClone && rchecked.test( value ) ) ) {
-		return collection.each( function( index ) {
-			var self = collection.eq( index );
-			if ( valueIsFunction ) {
-				args[ 0 ] = value.call( this, index, self.html() );
-			}
-			domManip( self, args, callback, ignored );
-		} );
-	}
-
-	if ( l ) {
-		fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored );
-		first = fragment.firstChild;
-
-		if ( fragment.childNodes.length === 1 ) {
-			fragment = first;
-		}
-
-		// Require either new content or an interest in ignored elements to invoke the callback
-		if ( first || ignored ) {
-			scripts = jQuery.map( getAll( fragment, "script" ), disableScript );
-			hasScripts = scripts.length;
-
-			// Use the original fragment for the last item
-			// instead of the first because it can end up
-			// being emptied incorrectly in certain situations (#8070).
-			for ( ; i < l; i++ ) {
-				node = fragment;
-
-				if ( i !== iNoClone ) {
-					node = jQuery.clone( node, true, true );
-
-					// Keep references to cloned scripts for later restoration
-					if ( hasScripts ) {
-
-						// Support: Android <=4.0 only, PhantomJS 1 only
-						// push.apply(_, arraylike) throws on ancient WebKit
-						jQuery.merge( scripts, getAll( node, "script" ) );
-					}
-				}
-
-				callback.call( collection[ i ], node, i );
-			}
-
-			if ( hasScripts ) {
-				doc = scripts[ scripts.length - 1 ].ownerDocument;
-
-				// Reenable scripts
-				jQuery.map( scripts, restoreScript );
-
-				// Evaluate executable scripts on first document insertion
-				for ( i = 0; i < hasScripts; i++ ) {
-					node = scripts[ i ];
-					if ( rscriptType.test( node.type || "" ) &&
-						!dataPriv.access( node, "globalEval" ) &&
-						jQuery.contains( doc, node ) ) {
-
-						if ( node.src && ( node.type || "" ).toLowerCase()  !== "module" ) {
-
-							// Optional AJAX dependency, but won't run scripts if not present
-							if ( jQuery._evalUrl && !node.noModule ) {
-								jQuery._evalUrl( node.src, {
-									nonce: node.nonce || node.getAttribute( "nonce" )
-								}, doc );
-							}
-						} else {
-							DOMEval( node.textContent.replace( rcleanScript, "" ), node, doc );
-						}
-					}
-				}
-			}
-		}
-	}
-
-	return collection;
-}
-
-function remove( elem, selector, keepData ) {
-	var node,
-		nodes = selector ? jQuery.filter( selector, elem ) : elem,
-		i = 0;
-
-	for ( ; ( node = nodes[ i ] ) != null; i++ ) {
-		if ( !keepData && node.nodeType === 1 ) {
-			jQuery.cleanData( getAll( node ) );
-		}
-
-		if ( node.parentNode ) {
-			if ( keepData && isAttached( node ) ) {
-				setGlobalEval( getAll( node, "script" ) );
-			}
-			node.parentNode.removeChild( node );
-		}
-	}
-
-	return elem;
-}
-
-jQuery.extend( {
-	htmlPrefilter: function( html ) {
-		return html;
-	},
-
-	clone: function( elem, dataAndEvents, deepDataAndEvents ) {
-		var i, l, srcElements, destElements,
-			clone = elem.cloneNode( true ),
-			inPage = isAttached( elem );
-
-		// Fix IE cloning issues
-		if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) &&
-				!jQuery.isXMLDoc( elem ) ) {
-
-			// We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2
-			destElements = getAll( clone );
-			srcElements = getAll( elem );
-
-			for ( i = 0, l = srcElements.length; i < l; i++ ) {
-				fixInput( srcElements[ i ], destElements[ i ] );
-			}
-		}
-
-		// Copy the events from the original to the clone
-		if ( dataAndEvents ) {
-			if ( deepDataAndEvents ) {
-				srcElements = srcElements || getAll( elem );
-				destElements = destElements || getAll( clone );
-
-				for ( i = 0, l = srcElements.length; i < l; i++ ) {
-					cloneCopyEvent( srcElements[ i ], destElements[ i ] );
-				}
-			} else {
-				cloneCopyEvent( elem, clone );
-			}
-		}
-
-		// Preserve script evaluation history
-		destElements = getAll( clone, "script" );
-		if ( destElements.length > 0 ) {
-			setGlobalEval( destElements, !inPage && getAll( elem, "script" ) );
-		}
-
-		// Return the cloned set
-		return clone;
-	},
-
-	cleanData: function( elems ) {
-		var data, elem, type,
-			special = jQuery.event.special,
-			i = 0;
-
-		for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) {
-			if ( acceptData( elem ) ) {
-				if ( ( data = elem[ dataPriv.expando ] ) ) {
-					if ( data.events ) {
-						for ( type in data.events ) {
-							if ( special[ type ] ) {
-								jQuery.event.remove( elem, type );
-
-							// This is a shortcut to avoid jQuery.event.remove's overhead
-							} else {
-								jQuery.removeEvent( elem, type, data.handle );
-							}
-						}
-					}
-
-					// Support: Chrome <=35 - 45+
-					// Assign undefined instead of using delete, see Data#remove
-					elem[ dataPriv.expando ] = undefined;
-				}
-				if ( elem[ dataUser.expando ] ) {
-
-					// Support: Chrome <=35 - 45+
-					// Assign undefined instead of using delete, see Data#remove
-					elem[ dataUser.expando ] = undefined;
-				}
-			}
-		}
-	}
-} );
-
-jQuery.fn.extend( {
-	detach: function( selector ) {
-		return remove( this, selector, true );
-	},
-
-	remove: function( selector ) {
-		return remove( this, selector );
-	},
-
-	text: function( value ) {
-		return access( this, function( value ) {
-			return value === undefined ?
-				jQuery.text( this ) :
-				this.empty().each( function() {
-					if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
-						this.textContent = value;
-					}
-				} );
-		}, null, value, arguments.length );
-	},
-
-	append: function() {
-		return domManip( this, arguments, function( elem ) {
-			if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
-				var target = manipulationTarget( this, elem );
-				target.appendChild( elem );
-			}
-		} );
-	},
-
-	prepend: function() {
-		return domManip( this, arguments, function( elem ) {
-			if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
-				var target = manipulationTarget( this, elem );
-				target.insertBefore( elem, target.firstChild );
-			}
-		} );
-	},
-
-	before: function() {
-		return domManip( this, arguments, function( elem ) {
-			if ( this.parentNode ) {
-				this.parentNode.insertBefore( elem, this );
-			}
-		} );
-	},
-
-	after: function() {
-		return domManip( this, arguments, function( elem ) {
-			if ( this.parentNode ) {
-				this.parentNode.insertBefore( elem, this.nextSibling );
-			}
-		} );
-	},
-
-	empty: function() {
-		var elem,
-			i = 0;
-
-		for ( ; ( elem = this[ i ] ) != null; i++ ) {
-			if ( elem.nodeType === 1 ) {
-
-				// Prevent memory leaks
-				jQuery.cleanData( getAll( elem, false ) );
-
-				// Remove any remaining nodes
-				elem.textContent = "";
-			}
-		}
-
-		return this;
-	},
-
-	clone: function( dataAndEvents, deepDataAndEvents ) {
-		dataAndEvents = dataAndEvents == null ? false : dataAndEvents;
-		deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents;
-
-		return this.map( function() {
-			return jQuery.clone( this, dataAndEvents, deepDataAndEvents );
-		} );
-	},
-
-	html: function( value ) {
-		return access( this, function( value ) {
-			var elem = this[ 0 ] || {},
-				i = 0,
-				l = this.length;
-
-			if ( value === undefined && elem.nodeType === 1 ) {
-				return elem.innerHTML;
-			}
-
-			// See if we can take a shortcut and just use innerHTML
-			if ( typeof value === "string" && !rnoInnerhtml.test( value ) &&
-				!wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) {
-
-				value = jQuery.htmlPrefilter( value );
-
-				try {
-					for ( ; i < l; i++ ) {
-						elem = this[ i ] || {};
-
-						// Remove element nodes and prevent memory leaks
-						if ( elem.nodeType === 1 ) {
-							jQuery.cleanData( getAll( elem, false ) );
-							elem.innerHTML = value;
-						}
-					}
-
-					elem = 0;
-
-				// If using innerHTML throws an exception, use the fallback method
-				} catch ( e ) {}
-			}
-
-			if ( elem ) {
-				this.empty().append( value );
-			}
-		}, null, value, arguments.length );
-	},
-
-	replaceWith: function() {
-		var ignored = [];
-
-		// Make the changes, replacing each non-ignored context element with the new content
-		return domManip( this, arguments, function( elem ) {
-			var parent = this.parentNode;
-
-			if ( jQuery.inArray( this, ignored ) < 0 ) {
-				jQuery.cleanData( getAll( this ) );
-				if ( parent ) {
-					parent.replaceChild( elem, this );
-				}
-			}
-
-		// Force callback invocation
-		}, ignored );
-	}
-} );
-
-jQuery.each( {
-	appendTo: "append",
-	prependTo: "prepend",
-	insertBefore: "before",
-	insertAfter: "after",
-	replaceAll: "replaceWith"
-}, function( name, original ) {
-	jQuery.fn[ name ] = function( selector ) {
-		var elems,
-			ret = [],
-			insert = jQuery( selector ),
-			last = insert.length - 1,
-			i = 0;
-
-		for ( ; i <= last; i++ ) {
-			elems = i === last ? this : this.clone( true );
-			jQuery( insert[ i ] )[ original ]( elems );
-
-			// Support: Android <=4.0 only, PhantomJS 1 only
-			// .get() because push.apply(_, arraylike) throws on ancient WebKit
-			push.apply( ret, elems.get() );
-		}
-
-		return this.pushStack( ret );
-	};
-} );
-var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" );
-
-var getStyles = function( elem ) {
-
-		// Support: IE <=11 only, Firefox <=30 (#15098, #14150)
-		// IE throws on elements created in popups
-		// FF meanwhile throws on frame elements through "defaultView.getComputedStyle"
-		var view = elem.ownerDocument.defaultView;
-
-		if ( !view || !view.opener ) {
-			view = window;
-		}
-
-		return view.getComputedStyle( elem );
-	};
-
-var swap = function( elem, options, callback ) {
-	var ret, name,
-		old = {};
-
-	// Remember the old values, and insert the new ones
-	for ( name in options ) {
-		old[ name ] = elem.style[ name ];
-		elem.style[ name ] = options[ name ];
-	}
-
-	ret = callback.call( elem );
-
-	// Revert the old values
-	for ( name in options ) {
-		elem.style[ name ] = old[ name ];
-	}
-
-	return ret;
-};
-
-
-var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" );
-
-
-
-( function() {
-
-	// Executing both pixelPosition & boxSizingReliable tests require only one layout
-	// so they're executed at the same time to save the second computation.
-	function computeStyleTests() {
-
-		// This is a singleton, we need to execute it only once
-		if ( !div ) {
-			return;
-		}
-
-		container.style.cssText = "position:absolute;left:-11111px;width:60px;" +
-			"margin-top:1px;padding:0;border:0";
-		div.style.cssText =
-			"position:relative;display:block;box-sizing:border-box;overflow:scroll;" +
-			"margin:auto;border:1px;padding:1px;" +
-			"width:60%;top:1%";
-		documentElement.appendChild( container ).appendChild( div );
-
-		var divStyle = window.getComputedStyle( div );
-		pixelPositionVal = divStyle.top !== "1%";
-
-		// Support: Android 4.0 - 4.3 only, Firefox <=3 - 44
-		reliableMarginLeftVal = roundPixelMeasures( divStyle.marginLeft ) === 12;
-
-		// Support: Android 4.0 - 4.3 only, Safari <=9.1 - 10.1, iOS <=7.0 - 9.3
-		// Some styles come back with percentage values, even though they shouldn't
-		div.style.right = "60%";
-		pixelBoxStylesVal = roundPixelMeasures( divStyle.right ) === 36;
-
-		// Support: IE 9 - 11 only
-		// Detect misreporting of content dimensions for box-sizing:border-box elements
-		boxSizingReliableVal = roundPixelMeasures( divStyle.width ) === 36;
-
-		// Support: IE 9 only
-		// Detect overflow:scroll screwiness (gh-3699)
-		// Support: Chrome <=64
-		// Don't get tricked when zoom affects offsetWidth (gh-4029)
-		div.style.position = "absolute";
-		scrollboxSizeVal = roundPixelMeasures( div.offsetWidth / 3 ) === 12;
-
-		documentElement.removeChild( container );
-
-		// Nullify the div so it wouldn't be stored in the memory and
-		// it will also be a sign that checks already performed
-		div = null;
-	}
-
-	function roundPixelMeasures( measure ) {
-		return Math.round( parseFloat( measure ) );
-	}
-
-	var pixelPositionVal, boxSizingReliableVal, scrollboxSizeVal, pixelBoxStylesVal,
-		reliableTrDimensionsVal, reliableMarginLeftVal,
-		container = document.createElement( "div" ),
-		div = document.createElement( "div" );
-
-	// Finish early in limited (non-browser) environments
-	if ( !div.style ) {
-		return;
-	}
-
-	// Support: IE <=9 - 11 only
-	// Style of cloned element affects source element cloned (#8908)
-	div.style.backgroundClip = "content-box";
-	div.cloneNode( true ).style.backgroundClip = "";
-	support.clearCloneStyle = div.style.backgroundClip === "content-box";
-
-	jQuery.extend( support, {
-		boxSizingReliable: function() {
-			computeStyleTests();
-			return boxSizingReliableVal;
-		},
-		pixelBoxStyles: function() {
-			computeStyleTests();
-			return pixelBoxStylesVal;
-		},
-		pixelPosition: function() {
-			computeStyleTests();
-			return pixelPositionVal;
-		},
-		reliableMarginLeft: function() {
-			computeStyleTests();
-			return reliableMarginLeftVal;
-		},
-		scrollboxSize: function() {
-			computeStyleTests();
-			return scrollboxSizeVal;
-		},
-
-		// Support: IE 9 - 11+, Edge 15 - 18+
-		// IE/Edge misreport `getComputedStyle` of table rows with width/height
-		// set in CSS while `offset*` properties report correct values.
-		// Behavior in IE 9 is more subtle than in newer versions & it passes
-		// some versions of this test; make sure not to make it pass there!
-		//
-		// Support: Firefox 70+
-		// Only Firefox includes border widths
-		// in computed dimensions. (gh-4529)
-		reliableTrDimensions: function() {
-			var table, tr, trChild, trStyle;
-			if ( reliableTrDimensionsVal == null ) {
-				table = document.createElement( "table" );
-				tr = document.createElement( "tr" );
-				trChild = document.createElement( "div" );
-
-				table.style.cssText = "position:absolute;left:-11111px;border-collapse:separate";
-				tr.style.cssText = "border:1px solid";
-
-				// Support: Chrome 86+
-				// Height set through cssText does not get applied.
-				// Computed height then comes back as 0.
-				tr.style.height = "1px";
-				trChild.style.height = "9px";
-
-				// Support: Android 8 Chrome 86+
-				// In our bodyBackground.html iframe,
-				// display for all div elements is set to "inline",
-				// which causes a problem only in Android 8 Chrome 86.
-				// Ensuring the div is display: block
-				// gets around this issue.
-				trChild.style.display = "block";
-
-				documentElement
-					.appendChild( table )
-					.appendChild( tr )
-					.appendChild( trChild );
-
-				trStyle = window.getComputedStyle( tr );
-				reliableTrDimensionsVal = ( parseInt( trStyle.height, 10 ) +
-					parseInt( trStyle.borderTopWidth, 10 ) +
-					parseInt( trStyle.borderBottomWidth, 10 ) ) === tr.offsetHeight;
-
-				documentElement.removeChild( table );
-			}
-			return reliableTrDimensionsVal;
-		}
-	} );
-} )();
-
-
-function curCSS( elem, name, computed ) {
-	var width, minWidth, maxWidth, ret,
-
-		// Support: Firefox 51+
-		// Retrieving style before computed somehow
-		// fixes an issue with getting wrong values
-		// on detached elements
-		style = elem.style;
-
-	computed = computed || getStyles( elem );
-
-	// getPropertyValue is needed for:
-	//   .css('filter') (IE 9 only, #12537)
-	//   .css('--customProperty) (#3144)
-	if ( computed ) {
-		ret = computed.getPropertyValue( name ) || computed[ name ];
-
-		if ( ret === "" && !isAttached( elem ) ) {
-			ret = jQuery.style( elem, name );
-		}
-
-		// A tribute to the "awesome hack by Dean Edwards"
-		// Android Browser returns percentage for some values,
-		// but width seems to be reliably pixels.
-		// This is against the CSSOM draft spec:
-		// https://drafts.csswg.org/cssom/#resolved-values
-		if ( !support.pixelBoxStyles() && rnumnonpx.test( ret ) && rboxStyle.test( name ) ) {
-
-			// Remember the original values
-			width = style.width;
-			minWidth = style.minWidth;
-			maxWidth = style.maxWidth;
-
-			// Put in the new values to get a computed value out
-			style.minWidth = style.maxWidth = style.width = ret;
-			ret = computed.width;
-
-			// Revert the changed values
-			style.width = width;
-			style.minWidth = minWidth;
-			style.maxWidth = maxWidth;
-		}
-	}
-
-	return ret !== undefined ?
-
-		// Support: IE <=9 - 11 only
-		// IE returns zIndex value as an integer.
-		ret + "" :
-		ret;
-}
-
-
-function addGetHookIf( conditionFn, hookFn ) {
-
-	// Define the hook, we'll check on the first run if it's really needed.
-	return {
-		get: function() {
-			if ( conditionFn() ) {
-
-				// Hook not needed (or it's not possible to use it due
-				// to missing dependency), remove it.
-				delete this.get;
-				return;
-			}
-
-			// Hook needed; redefine it so that the support test is not executed again.
-			return ( this.get = hookFn ).apply( this, arguments );
-		}
-	};
-}
-
-
-var cssPrefixes = [ "Webkit", "Moz", "ms" ],
-	emptyStyle = document.createElement( "div" ).style,
-	vendorProps = {};
-
-// Return a vendor-prefixed property or undefined
-function vendorPropName( name ) {
-
-	// Check for vendor prefixed names
-	var capName = name[ 0 ].toUpperCase() + name.slice( 1 ),
-		i = cssPrefixes.length;
-
-	while ( i-- ) {
-		name = cssPrefixes[ i ] + capName;
-		if ( name in emptyStyle ) {
-			return name;
-		}
-	}
-}
-
-// Return a potentially-mapped jQuery.cssProps or vendor prefixed property
-function finalPropName( name ) {
-	var final = jQuery.cssProps[ name ] || vendorProps[ name ];
-
-	if ( final ) {
-		return final;
-	}
-	if ( name in emptyStyle ) {
-		return name;
-	}
-	return vendorProps[ name ] = vendorPropName( name ) || name;
-}
-
-
-var
-
-	// Swappable if display is none or starts with table
-	// except "table", "table-cell", or "table-caption"
-	// See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display
-	rdisplayswap = /^(none|table(?!-c[ea]).+)/,
-	rcustomProp = /^--/,
-	cssShow = { position: "absolute", visibility: "hidden", display: "block" },
-	cssNormalTransform = {
-		letterSpacing: "0",
-		fontWeight: "400"
-	};
-
-function setPositiveNumber( _elem, value, subtract ) {
-
-	// Any relative (+/-) values have already been
-	// normalized at this point
-	var matches = rcssNum.exec( value );
-	return matches ?
-
-		// Guard against undefined "subtract", e.g., when used as in cssHooks
-		Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) :
-		value;
-}
-
-function boxModelAdjustment( elem, dimension, box, isBorderBox, styles, computedVal ) {
-	var i = dimension === "width" ? 1 : 0,
-		extra = 0,
-		delta = 0;
-
-	// Adjustment may not be necessary
-	if ( box === ( isBorderBox ? "border" : "content" ) ) {
-		return 0;
-	}
-
-	for ( ; i < 4; i += 2 ) {
-
-		// Both box models exclude margin
-		if ( box === "margin" ) {
-			delta += jQuery.css( elem, box + cssExpand[ i ], true, styles );
-		}
-
-		// If we get here with a content-box, we're seeking "padding" or "border" or "margin"
-		if ( !isBorderBox ) {
-
-			// Add padding
-			delta += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
-
-			// For "border" or "margin", add border
-			if ( box !== "padding" ) {
-				delta += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
-
-			// But still keep track of it otherwise
-			} else {
-				extra += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
-			}
-
-		// If we get here with a border-box (content + padding + border), we're seeking "content" or
-		// "padding" or "margin"
-		} else {
-
-			// For "content", subtract padding
-			if ( box === "content" ) {
-				delta -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
-			}
-
-			// For "content" or "padding", subtract border
-			if ( box !== "margin" ) {
-				delta -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
-			}
-		}
-	}
-
-	// Account for positive content-box scroll gutter when requested by providing computedVal
-	if ( !isBorderBox && computedVal >= 0 ) {
-
-		// offsetWidth/offsetHeight is a rounded sum of content, padding, scroll gutter, and border
-		// Assuming integer scroll gutter, subtract the rest and round down
-		delta += Math.max( 0, Math.ceil(
-			elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
-			computedVal -
-			delta -
-			extra -
-			0.5
-
-		// If offsetWidth/offsetHeight is unknown, then we can't determine content-box scroll gutter
-		// Use an explicit zero to avoid NaN (gh-3964)
-		) ) || 0;
-	}
-
-	return delta;
-}
-
-function getWidthOrHeight( elem, dimension, extra ) {
-
-	// Start with computed style
-	var styles = getStyles( elem ),
-
-		// To avoid forcing a reflow, only fetch boxSizing if we need it (gh-4322).
-		// Fake content-box until we know it's needed to know the true value.
-		boxSizingNeeded = !support.boxSizingReliable() || extra,
-		isBorderBox = boxSizingNeeded &&
-			jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
-		valueIsBorderBox = isBorderBox,
-
-		val = curCSS( elem, dimension, styles ),
-		offsetProp = "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 );
-
-	// Support: Firefox <=54
-	// Return a confounding non-pixel value or feign ignorance, as appropriate.
-	if ( rnumnonpx.test( val ) ) {
-		if ( !extra ) {
-			return val;
-		}
-		val = "auto";
-	}
-
-
-	// Support: IE 9 - 11 only
-	// Use offsetWidth/offsetHeight for when box sizing is unreliable.
-	// In those cases, the computed value can be trusted to be border-box.
-	if ( ( !support.boxSizingReliable() && isBorderBox ||
-
-		// Support: IE 10 - 11+, Edge 15 - 18+
-		// IE/Edge misreport `getComputedStyle` of table rows with width/height
-		// set in CSS while `offset*` properties report correct values.
-		// Interestingly, in some cases IE 9 doesn't suffer from this issue.
-		!support.reliableTrDimensions() && nodeName( elem, "tr" ) ||
-
-		// Fall back to offsetWidth/offsetHeight when value is "auto"
-		// This happens for inline elements with no explicit setting (gh-3571)
-		val === "auto" ||
-
-		// Support: Android <=4.1 - 4.3 only
-		// Also use offsetWidth/offsetHeight for misreported inline dimensions (gh-3602)
-		!parseFloat( val ) && jQuery.css( elem, "display", false, styles ) === "inline" ) &&
-
-		// Make sure the element is visible & connected
-		elem.getClientRects().length ) {
-
-		isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box";
-
-		// Where available, offsetWidth/offsetHeight approximate border box dimensions.
-		// Where not available (e.g., SVG), assume unreliable box-sizing and interpret the
-		// retrieved value as a content box dimension.
-		valueIsBorderBox = offsetProp in elem;
-		if ( valueIsBorderBox ) {
-			val = elem[ offsetProp ];
-		}
-	}
-
-	// Normalize "" and auto
-	val = parseFloat( val ) || 0;
-
-	// Adjust for the element's box model
-	return ( val +
-		boxModelAdjustment(
-			elem,
-			dimension,
-			extra || ( isBorderBox ? "border" : "content" ),
-			valueIsBorderBox,
-			styles,
-
-			// Provide the current computed size to request scroll gutter calculation (gh-3589)
-			val
-		)
-	) + "px";
-}
-
-jQuery.extend( {
-
-	// Add in style property hooks for overriding the default
-	// behavior of getting and setting a style property
-	cssHooks: {
-		opacity: {
-			get: function( elem, computed ) {
-				if ( computed ) {
-
-					// We should always get a number back from opacity
-					var ret = curCSS( elem, "opacity" );
-					return ret === "" ? "1" : ret;
-				}
-			}
-		}
-	},
-
-	// Don't automatically add "px" to these possibly-unitless properties
-	cssNumber: {
-		"animationIterationCount": true,
-		"columnCount": true,
-		"fillOpacity": true,
-		"flexGrow": true,
-		"flexShrink": true,
-		"fontWeight": true,
-		"gridArea": true,
-		"gridColumn": true,
-		"gridColumnEnd": true,
-		"gridColumnStart": true,
-		"gridRow": true,
-		"gridRowEnd": true,
-		"gridRowStart": true,
-		"lineHeight": true,
-		"opacity": true,
-		"order": true,
-		"orphans": true,
-		"widows": true,
-		"zIndex": true,
-		"zoom": true
-	},
-
-	// Add in properties whose names you wish to fix before
-	// setting or getting the value
-	cssProps: {},
-
-	// Get and set the style property on a DOM Node
-	style: function( elem, name, value, extra ) {
-
-		// Don't set styles on text and comment nodes
-		if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) {
-			return;
-		}
-
-		// Make sure that we're working with the right name
-		var ret, type, hooks,
-			origName = camelCase( name ),
-			isCustomProp = rcustomProp.test( name ),
-			style = elem.style;
-
-		// Make sure that we're working with the right name. We don't
-		// want to query the value if it is a CSS custom property
-		// since they are user-defined.
-		if ( !isCustomProp ) {
-			name = finalPropName( origName );
-		}
-
-		// Gets hook for the prefixed version, then unprefixed version
-		hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
-
-		// Check if we're setting a value
-		if ( value !== undefined ) {
-			type = typeof value;
-
-			// Convert "+=" or "-=" to relative numbers (#7345)
-			if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) {
-				value = adjustCSS( elem, name, ret );
-
-				// Fixes bug #9237
-				type = "number";
-			}
-
-			// Make sure that null and NaN values aren't set (#7116)
-			if ( value == null || value !== value ) {
-				return;
-			}
-
-			// If a number was passed in, add the unit (except for certain CSS properties)
-			// The isCustomProp check can be removed in jQuery 4.0 when we only auto-append
-			// "px" to a few hardcoded values.
-			if ( type === "number" && !isCustomProp ) {
-				value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" );
-			}
-
-			// background-* props affect original clone's values
-			if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) {
-				style[ name ] = "inherit";
-			}
-
-			// If a hook was provided, use that value, otherwise just set the specified value
-			if ( !hooks || !( "set" in hooks ) ||
-				( value = hooks.set( elem, value, extra ) ) !== undefined ) {
-
-				if ( isCustomProp ) {
-					style.setProperty( name, value );
-				} else {
-					style[ name ] = value;
-				}
-			}
-
-		} else {
-
-			// If a hook was provided get the non-computed value from there
-			if ( hooks && "get" in hooks &&
-				( ret = hooks.get( elem, false, extra ) ) !== undefined ) {
-
-				return ret;
-			}
-
-			// Otherwise just get the value from the style object
-			return style[ name ];
-		}
-	},
-
-	css: function( elem, name, extra, styles ) {
-		var val, num, hooks,
-			origName = camelCase( name ),
-			isCustomProp = rcustomProp.test( name );
-
-		// Make sure that we're working with the right name. We don't
-		// want to modify the value if it is a CSS custom property
-		// since they are user-defined.
-		if ( !isCustomProp ) {
-			name = finalPropName( origName );
-		}
-
-		// Try prefixed name followed by the unprefixed name
-		hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
-
-		// If a hook was provided get the computed value from there
-		if ( hooks && "get" in hooks ) {
-			val = hooks.get( elem, true, extra );
-		}
-
-		// Otherwise, if a way to get the computed value exists, use that
-		if ( val === undefined ) {
-			val = curCSS( elem, name, styles );
-		}
-
-		// Convert "normal" to computed value
-		if ( val === "normal" && name in cssNormalTransform ) {
-			val = cssNormalTransform[ name ];
-		}
-
-		// Make numeric if forced or a qualifier was provided and val looks numeric
-		if ( extra === "" || extra ) {
-			num = parseFloat( val );
-			return extra === true || isFinite( num ) ? num || 0 : val;
-		}
-
-		return val;
-	}
-} );
-
-jQuery.each( [ "height", "width" ], function( _i, dimension ) {
-	jQuery.cssHooks[ dimension ] = {
-		get: function( elem, computed, extra ) {
-			if ( computed ) {
-
-				// Certain elements can have dimension info if we invisibly show them
-				// but it must have a current display style that would benefit
-				return rdisplayswap.test( jQuery.css( elem, "display" ) ) &&
-
-					// Support: Safari 8+
-					// Table columns in Safari have non-zero offsetWidth & zero
-					// getBoundingClientRect().width unless display is changed.
-					// Support: IE <=11 only
-					// Running getBoundingClientRect on a disconnected node
-					// in IE throws an error.
-					( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ?
-					swap( elem, cssShow, function() {
-						return getWidthOrHeight( elem, dimension, extra );
-					} ) :
-					getWidthOrHeight( elem, dimension, extra );
-			}
-		},
-
-		set: function( elem, value, extra ) {
-			var matches,
-				styles = getStyles( elem ),
-
-				// Only read styles.position if the test has a chance to fail
-				// to avoid forcing a reflow.
-				scrollboxSizeBuggy = !support.scrollboxSize() &&
-					styles.position === "absolute",
-
-				// To avoid forcing a reflow, only fetch boxSizing if we need it (gh-3991)
-				boxSizingNeeded = scrollboxSizeBuggy || extra,
-				isBorderBox = boxSizingNeeded &&
-					jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
-				subtract = extra ?
-					boxModelAdjustment(
-						elem,
-						dimension,
-						extra,
-						isBorderBox,
-						styles
-					) :
-					0;
-
-			// Account for unreliable border-box dimensions by comparing offset* to computed and
-			// faking a content-box to get border and padding (gh-3699)
-			if ( isBorderBox && scrollboxSizeBuggy ) {
-				subtract -= Math.ceil(
-					elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
-					parseFloat( styles[ dimension ] ) -
-					boxModelAdjustment( elem, dimension, "border", false, styles ) -
-					0.5
-				);
-			}
-
-			// Convert to pixels if value adjustment is needed
-			if ( subtract && ( matches = rcssNum.exec( value ) ) &&
-				( matches[ 3 ] || "px" ) !== "px" ) {
-
-				elem.style[ dimension ] = value;
-				value = jQuery.css( elem, dimension );
-			}
-
-			return setPositiveNumber( elem, value, subtract );
-		}
-	};
-} );
-
-jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft,
-	function( elem, computed ) {
-		if ( computed ) {
-			return ( parseFloat( curCSS( elem, "marginLeft" ) ) ||
-				elem.getBoundingClientRect().left -
-					swap( elem, { marginLeft: 0 }, function() {
-						return elem.getBoundingClientRect().left;
-					} )
-			) + "px";
-		}
-	}
-);
-
-// These hooks are used by animate to expand properties
-jQuery.each( {
-	margin: "",
-	padding: "",
-	border: "Width"
-}, function( prefix, suffix ) {
-	jQuery.cssHooks[ prefix + suffix ] = {
-		expand: function( value ) {
-			var i = 0,
-				expanded = {},
-
-				// Assumes a single number if not a string
-				parts = typeof value === "string" ? value.split( " " ) : [ value ];
-
-			for ( ; i < 4; i++ ) {
-				expanded[ prefix + cssExpand[ i ] + suffix ] =
-					parts[ i ] || parts[ i - 2 ] || parts[ 0 ];
-			}
-
-			return expanded;
-		}
-	};
-
-	if ( prefix !== "margin" ) {
-		jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber;
-	}
-} );
-
-jQuery.fn.extend( {
-	css: function( name, value ) {
-		return access( this, function( elem, name, value ) {
-			var styles, len,
-				map = {},
-				i = 0;
-
-			if ( Array.isArray( name ) ) {
-				styles = getStyles( elem );
-				len = name.length;
-
-				for ( ; i < len; i++ ) {
-					map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles );
-				}
-
-				return map;
-			}
-
-			return value !== undefined ?
-				jQuery.style( elem, name, value ) :
-				jQuery.css( elem, name );
-		}, name, value, arguments.length > 1 );
-	}
-} );
-
-
-function Tween( elem, options, prop, end, easing ) {
-	return new Tween.prototype.init( elem, options, prop, end, easing );
-}
-jQuery.Tween = Tween;
-
-Tween.prototype = {
-	constructor: Tween,
-	init: function( elem, options, prop, end, easing, unit ) {
-		this.elem = elem;
-		this.prop = prop;
-		this.easing = easing || jQuery.easing._default;
-		this.options = options;
-		this.start = this.now = this.cur();
-		this.end = end;
-		this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" );
-	},
-	cur: function() {
-		var hooks = Tween.propHooks[ this.prop ];
-
-		return hooks && hooks.get ?
-			hooks.get( this ) :
-			Tween.propHooks._default.get( this );
-	},
-	run: function( percent ) {
-		var eased,
-			hooks = Tween.propHooks[ this.prop ];
-
-		if ( this.options.duration ) {
-			this.pos = eased = jQuery.easing[ this.easing ](
-				percent, this.options.duration * percent, 0, 1, this.options.duration
-			);
-		} else {
-			this.pos = eased = percent;
-		}
-		this.now = ( this.end - this.start ) * eased + this.start;
-
-		if ( this.options.step ) {
-			this.options.step.call( this.elem, this.now, this );
-		}
-
-		if ( hooks && hooks.set ) {
-			hooks.set( this );
-		} else {
-			Tween.propHooks._default.set( this );
-		}
-		return this;
-	}
-};
-
-Tween.prototype.init.prototype = Tween.prototype;
-
-Tween.propHooks = {
-	_default: {
-		get: function( tween ) {
-			var result;
-
-			// Use a property on the element directly when it is not a DOM element,
-			// or when there is no matching style property that exists.
-			if ( tween.elem.nodeType !== 1 ||
-				tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) {
-				return tween.elem[ tween.prop ];
-			}
-
-			// Passing an empty string as a 3rd parameter to .css will automatically
-			// attempt a parseFloat and fallback to a string if the parse fails.
-			// Simple values such as "10px" are parsed to Float;
-			// complex values such as "rotate(1rad)" are returned as-is.
-			result = jQuery.css( tween.elem, tween.prop, "" );
-
-			// Empty strings, null, undefined and "auto" are converted to 0.
-			return !result || result === "auto" ? 0 : result;
-		},
-		set: function( tween ) {
-
-			// Use step hook for back compat.
-			// Use cssHook if its there.
-			// Use .style if available and use plain properties where available.
-			if ( jQuery.fx.step[ tween.prop ] ) {
-				jQuery.fx.step[ tween.prop ]( tween );
-			} else if ( tween.elem.nodeType === 1 && (
-				jQuery.cssHooks[ tween.prop ] ||
-					tween.elem.style[ finalPropName( tween.prop ) ] != null ) ) {
-				jQuery.style( tween.elem, tween.prop, tween.now + tween.unit );
-			} else {
-				tween.elem[ tween.prop ] = tween.now;
-			}
-		}
-	}
-};
-
-// Support: IE <=9 only
-// Panic based approach to setting things on disconnected nodes
-Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = {
-	set: function( tween ) {
-		if ( tween.elem.nodeType && tween.elem.parentNode ) {
-			tween.elem[ tween.prop ] = tween.now;
-		}
-	}
-};
-
-jQuery.easing = {
-	linear: function( p ) {
-		return p;
-	},
-	swing: function( p ) {
-		return 0.5 - Math.cos( p * Math.PI ) / 2;
-	},
-	_default: "swing"
-};
-
-jQuery.fx = Tween.prototype.init;
-
-// Back compat <1.8 extension point
-jQuery.fx.step = {};
-
-
-
-
-var
-	fxNow, inProgress,
-	rfxtypes = /^(?:toggle|show|hide)$/,
-	rrun = /queueHooks$/;
-
-function schedule() {
-	if ( inProgress ) {
-		if ( document.hidden === false && window.requestAnimationFrame ) {
-			window.requestAnimationFrame( schedule );
-		} else {
-			window.setTimeout( schedule, jQuery.fx.interval );
-		}
-
-		jQuery.fx.tick();
-	}
-}
-
-// Animations created synchronously will run synchronously
-function createFxNow() {
-	window.setTimeout( function() {
-		fxNow = undefined;
-	} );
-	return ( fxNow = Date.now() );
-}
-
-// Generate parameters to create a standard animation
-function genFx( type, includeWidth ) {
-	var which,
-		i = 0,
-		attrs = { height: type };
-
-	// If we include width, step value is 1 to do all cssExpand values,
-	// otherwise step value is 2 to skip over Left and Right
-	includeWidth = includeWidth ? 1 : 0;
-	for ( ; i < 4; i += 2 - includeWidth ) {
-		which = cssExpand[ i ];
-		attrs[ "margin" + which ] = attrs[ "padding" + which ] = type;
-	}
-
-	if ( includeWidth ) {
-		attrs.opacity = attrs.width = type;
-	}
-
-	return attrs;
-}
-
-function createTween( value, prop, animation ) {
-	var tween,
-		collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ),
-		index = 0,
-		length = collection.length;
-	for ( ; index < length; index++ ) {
-		if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) {
-
-			// We're done with this property
-			return tween;
-		}
-	}
-}
-
-function defaultPrefilter( elem, props, opts ) {
-	var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display,
-		isBox = "width" in props || "height" in props,
-		anim = this,
-		orig = {},
-		style = elem.style,
-		hidden = elem.nodeType && isHiddenWithinTree( elem ),
-		dataShow = dataPriv.get( elem, "fxshow" );
-
-	// Queue-skipping animations hijack the fx hooks
-	if ( !opts.queue ) {
-		hooks = jQuery._queueHooks( elem, "fx" );
-		if ( hooks.unqueued == null ) {
-			hooks.unqueued = 0;
-			oldfire = hooks.empty.fire;
-			hooks.empty.fire = function() {
-				if ( !hooks.unqueued ) {
-					oldfire();
-				}
-			};
-		}
-		hooks.unqueued++;
-
-		anim.always( function() {
-
-			// Ensure the complete handler is called before this completes
-			anim.always( function() {
-				hooks.unqueued--;
-				if ( !jQuery.queue( elem, "fx" ).length ) {
-					hooks.empty.fire();
-				}
-			} );
-		} );
-	}
-
-	// Detect show/hide animations
-	for ( prop in props ) {
-		value = props[ prop ];
-		if ( rfxtypes.test( value ) ) {
-			delete props[ prop ];
-			toggle = toggle || value === "toggle";
-			if ( value === ( hidden ? "hide" : "show" ) ) {
-
-				// Pretend to be hidden if this is a "show" and
-				// there is still data from a stopped show/hide
-				if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) {
-					hidden = true;
-
-				// Ignore all other no-op show/hide data
-				} else {
-					continue;
-				}
-			}
-			orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop );
-		}
-	}
-
-	// Bail out if this is a no-op like .hide().hide()
-	propTween = !jQuery.isEmptyObject( props );
-	if ( !propTween && jQuery.isEmptyObject( orig ) ) {
-		return;
-	}
-
-	// Restrict "overflow" and "display" styles during box animations
-	if ( isBox && elem.nodeType === 1 ) {
-
-		// Support: IE <=9 - 11, Edge 12 - 15
-		// Record all 3 overflow attributes because IE does not infer the shorthand
-		// from identically-valued overflowX and overflowY and Edge just mirrors
-		// the overflowX value there.
-		opts.overflow = [ style.overflow, style.overflowX, style.overflowY ];
-
-		// Identify a display type, preferring old show/hide data over the CSS cascade
-		restoreDisplay = dataShow && dataShow.display;
-		if ( restoreDisplay == null ) {
-			restoreDisplay = dataPriv.get( elem, "display" );
-		}
-		display = jQuery.css( elem, "display" );
-		if ( display === "none" ) {
-			if ( restoreDisplay ) {
-				display = restoreDisplay;
-			} else {
-
-				// Get nonempty value(s) by temporarily forcing visibility
-				showHide( [ elem ], true );
-				restoreDisplay = elem.style.display || restoreDisplay;
-				display = jQuery.css( elem, "display" );
-				showHide( [ elem ] );
-			}
-		}
-
-		// Animate inline elements as inline-block
-		if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) {
-			if ( jQuery.css( elem, "float" ) === "none" ) {
-
-				// Restore the original display value at the end of pure show/hide animations
-				if ( !propTween ) {
-					anim.done( function() {
-						style.display = restoreDisplay;
-					} );
-					if ( restoreDisplay == null ) {
-						display = style.display;
-						restoreDisplay = display === "none" ? "" : display;
-					}
-				}
-				style.display = "inline-block";
-			}
-		}
-	}
-
-	if ( opts.overflow ) {
-		style.overflow = "hidden";
-		anim.always( function() {
-			style.overflow = opts.overflow[ 0 ];
-			style.overflowX = opts.overflow[ 1 ];
-			style.overflowY = opts.overflow[ 2 ];
-		} );
-	}
-
-	// Implement show/hide animations
-	propTween = false;
-	for ( prop in orig ) {
-
-		// General show/hide setup for this element animation
-		if ( !propTween ) {
-			if ( dataShow ) {
-				if ( "hidden" in dataShow ) {
-					hidden = dataShow.hidden;
-				}
-			} else {
-				dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } );
-			}
-
-			// Store hidden/visible for toggle so `.stop().toggle()` "reverses"
-			if ( toggle ) {
-				dataShow.hidden = !hidden;
-			}
-
-			// Show elements before animating them
-			if ( hidden ) {
-				showHide( [ elem ], true );
-			}
-
-			/* eslint-disable no-loop-func */
-
-			anim.done( function() {
-
-				/* eslint-enable no-loop-func */
-
-				// The final step of a "hide" animation is actually hiding the element
-				if ( !hidden ) {
-					showHide( [ elem ] );
-				}
-				dataPriv.remove( elem, "fxshow" );
-				for ( prop in orig ) {
-					jQuery.style( elem, prop, orig[ prop ] );
-				}
-			} );
-		}
-
-		// Per-property setup
-		propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim );
-		if ( !( prop in dataShow ) ) {
-			dataShow[ prop ] = propTween.start;
-			if ( hidden ) {
-				propTween.end = propTween.start;
-				propTween.start = 0;
-			}
-		}
-	}
-}
-
-function propFilter( props, specialEasing ) {
-	var index, name, easing, value, hooks;
-
-	// camelCase, specialEasing and expand cssHook pass
-	for ( index in props ) {
-		name = camelCase( index );
-		easing = specialEasing[ name ];
-		value = props[ index ];
-		if ( Array.isArray( value ) ) {
-			easing = value[ 1 ];
-			value = props[ index ] = value[ 0 ];
-		}
-
-		if ( index !== name ) {
-			props[ name ] = value;
-			delete props[ index ];
-		}
-
-		hooks = jQuery.cssHooks[ name ];
-		if ( hooks && "expand" in hooks ) {
-			value = hooks.expand( value );
-			delete props[ name ];
-
-			// Not quite $.extend, this won't overwrite existing keys.
-			// Reusing 'index' because we have the correct "name"
-			for ( index in value ) {
-				if ( !( index in props ) ) {
-					props[ index ] = value[ index ];
-					specialEasing[ index ] = easing;
-				}
-			}
-		} else {
-			specialEasing[ name ] = easing;
-		}
-	}
-}
-
-function Animation( elem, properties, options ) {
-	var result,
-		stopped,
-		index = 0,
-		length = Animation.prefilters.length,
-		deferred = jQuery.Deferred().always( function() {
-
-			// Don't match elem in the :animated selector
-			delete tick.elem;
-		} ),
-		tick = function() {
-			if ( stopped ) {
-				return false;
-			}
-			var currentTime = fxNow || createFxNow(),
-				remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ),
-
-				// Support: Android 2.3 only
-				// Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497)
-				temp = remaining / animation.duration || 0,
-				percent = 1 - temp,
-				index = 0,
-				length = animation.tweens.length;
-
-			for ( ; index < length; index++ ) {
-				animation.tweens[ index ].run( percent );
-			}
-
-			deferred.notifyWith( elem, [ animation, percent, remaining ] );
-
-			// If there's more to do, yield
-			if ( percent < 1 && length ) {
-				return remaining;
-			}
-
-			// If this was an empty animation, synthesize a final progress notification
-			if ( !length ) {
-				deferred.notifyWith( elem, [ animation, 1, 0 ] );
-			}
-
-			// Resolve the animation and report its conclusion
-			deferred.resolveWith( elem, [ animation ] );
-			return false;
-		},
-		animation = deferred.promise( {
-			elem: elem,
-			props: jQuery.extend( {}, properties ),
-			opts: jQuery.extend( true, {
-				specialEasing: {},
-				easing: jQuery.easing._default
-			}, options ),
-			originalProperties: properties,
-			originalOptions: options,
-			startTime: fxNow || createFxNow(),
-			duration: options.duration,
-			tweens: [],
-			createTween: function( prop, end ) {
-				var tween = jQuery.Tween( elem, animation.opts, prop, end,
-					animation.opts.specialEasing[ prop ] || animation.opts.easing );
-				animation.tweens.push( tween );
-				return tween;
-			},
-			stop: function( gotoEnd ) {
-				var index = 0,
-
-					// If we are going to the end, we want to run all the tweens
-					// otherwise we skip this part
-					length = gotoEnd ? animation.tweens.length : 0;
-				if ( stopped ) {
-					return this;
-				}
-				stopped = true;
-				for ( ; index < length; index++ ) {
-					animation.tweens[ index ].run( 1 );
-				}
-
-				// Resolve when we played the last frame; otherwise, reject
-				if ( gotoEnd ) {
-					deferred.notifyWith( elem, [ animation, 1, 0 ] );
-					deferred.resolveWith( elem, [ animation, gotoEnd ] );
-				} else {
-					deferred.rejectWith( elem, [ animation, gotoEnd ] );
-				}
-				return this;
-			}
-		} ),
-		props = animation.props;
-
-	propFilter( props, animation.opts.specialEasing );
-
-	for ( ; index < length; index++ ) {
-		result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts );
-		if ( result ) {
-			if ( isFunction( result.stop ) ) {
-				jQuery._queueHooks( animation.elem, animation.opts.queue ).stop =
-					result.stop.bind( result );
-			}
-			return result;
-		}
-	}
-
-	jQuery.map( props, createTween, animation );
-
-	if ( isFunction( animation.opts.start ) ) {
-		animation.opts.start.call( elem, animation );
-	}
-
-	// Attach callbacks from options
-	animation
-		.progress( animation.opts.progress )
-		.done( animation.opts.done, animation.opts.complete )
-		.fail( animation.opts.fail )
-		.always( animation.opts.always );
-
-	jQuery.fx.timer(
-		jQuery.extend( tick, {
-			elem: elem,
-			anim: animation,
-			queue: animation.opts.queue
-		} )
-	);
-
-	return animation;
-}
-
-jQuery.Animation = jQuery.extend( Animation, {
-
-	tweeners: {
-		"*": [ function( prop, value ) {
-			var tween = this.createTween( prop, value );
-			adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween );
-			return tween;
-		} ]
-	},
-
-	tweener: function( props, callback ) {
-		if ( isFunction( props ) ) {
-			callback = props;
-			props = [ "*" ];
-		} else {
-			props = props.match( rnothtmlwhite );
-		}
-
-		var prop,
-			index = 0,
-			length = props.length;
-
-		for ( ; index < length; index++ ) {
-			prop = props[ index ];
-			Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || [];
-			Animation.tweeners[ prop ].unshift( callback );
-		}
-	},
-
-	prefilters: [ defaultPrefilter ],
-
-	prefilter: function( callback, prepend ) {
-		if ( prepend ) {
-			Animation.prefilters.unshift( callback );
-		} else {
-			Animation.prefilters.push( callback );
-		}
-	}
-} );
-
-jQuery.speed = function( speed, easing, fn ) {
-	var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : {
-		complete: fn || !fn && easing ||
-			isFunction( speed ) && speed,
-		duration: speed,
-		easing: fn && easing || easing && !isFunction( easing ) && easing
-	};
-
-	// Go to the end state if fx are off
-	if ( jQuery.fx.off ) {
-		opt.duration = 0;
-
-	} else {
-		if ( typeof opt.duration !== "number" ) {
-			if ( opt.duration in jQuery.fx.speeds ) {
-				opt.duration = jQuery.fx.speeds[ opt.duration ];
-
-			} else {
-				opt.duration = jQuery.fx.speeds._default;
-			}
-		}
-	}
-
-	// Normalize opt.queue - true/undefined/null -> "fx"
-	if ( opt.queue == null || opt.queue === true ) {
-		opt.queue = "fx";
-	}
-
-	// Queueing
-	opt.old = opt.complete;
-
-	opt.complete = function() {
-		if ( isFunction( opt.old ) ) {
-			opt.old.call( this );
-		}
-
-		if ( opt.queue ) {
-			jQuery.dequeue( this, opt.queue );
-		}
-	};
-
-	return opt;
-};
-
-jQuery.fn.extend( {
-	fadeTo: function( speed, to, easing, callback ) {
-
-		// Show any hidden elements after setting opacity to 0
-		return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show()
-
-			// Animate to the value specified
-			.end().animate( { opacity: to }, speed, easing, callback );
-	},
-	animate: function( prop, speed, easing, callback ) {
-		var empty = jQuery.isEmptyObject( prop ),
-			optall = jQuery.speed( speed, easing, callback ),
-			doAnimation = function() {
-
-				// Operate on a copy of prop so per-property easing won't be lost
-				var anim = Animation( this, jQuery.extend( {}, prop ), optall );
-
-				// Empty animations, or finishing resolves immediately
-				if ( empty || dataPriv.get( this, "finish" ) ) {
-					anim.stop( true );
-				}
-			};
-
-		doAnimation.finish = doAnimation;
-
-		return empty || optall.queue === false ?
-			this.each( doAnimation ) :
-			this.queue( optall.queue, doAnimation );
-	},
-	stop: function( type, clearQueue, gotoEnd ) {
-		var stopQueue = function( hooks ) {
-			var stop = hooks.stop;
-			delete hooks.stop;
-			stop( gotoEnd );
-		};
-
-		if ( typeof type !== "string" ) {
-			gotoEnd = clearQueue;
-			clearQueue = type;
-			type = undefined;
-		}
-		if ( clearQueue ) {
-			this.queue( type || "fx", [] );
-		}
-
-		return this.each( function() {
-			var dequeue = true,
-				index = type != null && type + "queueHooks",
-				timers = jQuery.timers,
-				data = dataPriv.get( this );
-
-			if ( index ) {
-				if ( data[ index ] && data[ index ].stop ) {
-					stopQueue( data[ index ] );
-				}
-			} else {
-				for ( index in data ) {
-					if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) {
-						stopQueue( data[ index ] );
-					}
-				}
-			}
-
-			for ( index = timers.length; index--; ) {
-				if ( timers[ index ].elem === this &&
-					( type == null || timers[ index ].queue === type ) ) {
-
-					timers[ index ].anim.stop( gotoEnd );
-					dequeue = false;
-					timers.splice( index, 1 );
-				}
-			}
-
-			// Start the next in the queue if the last step wasn't forced.
-			// Timers currently will call their complete callbacks, which
-			// will dequeue but only if they were gotoEnd.
-			if ( dequeue || !gotoEnd ) {
-				jQuery.dequeue( this, type );
-			}
-		} );
-	},
-	finish: function( type ) {
-		if ( type !== false ) {
-			type = type || "fx";
-		}
-		return this.each( function() {
-			var index,
-				data = dataPriv.get( this ),
-				queue = data[ type + "queue" ],
-				hooks = data[ type + "queueHooks" ],
-				timers = jQuery.timers,
-				length = queue ? queue.length : 0;
-
-			// Enable finishing flag on private data
-			data.finish = true;
-
-			// Empty the queue first
-			jQuery.queue( this, type, [] );
-
-			if ( hooks && hooks.stop ) {
-				hooks.stop.call( this, true );
-			}
-
-			// Look for any active animations, and finish them
-			for ( index = timers.length; index--; ) {
-				if ( timers[ index ].elem === this && timers[ index ].queue === type ) {
-					timers[ index ].anim.stop( true );
-					timers.splice( index, 1 );
-				}
-			}
-
-			// Look for any animations in the old queue and finish them
-			for ( index = 0; index < length; index++ ) {
-				if ( queue[ index ] && queue[ index ].finish ) {
-					queue[ index ].finish.call( this );
-				}
-			}
-
-			// Turn off finishing flag
-			delete data.finish;
-		} );
-	}
-} );
-
-jQuery.each( [ "toggle", "show", "hide" ], function( _i, name ) {
-	var cssFn = jQuery.fn[ name ];
-	jQuery.fn[ name ] = function( speed, easing, callback ) {
-		return speed == null || typeof speed === "boolean" ?
-			cssFn.apply( this, arguments ) :
-			this.animate( genFx( name, true ), speed, easing, callback );
-	};
-} );
-
-// Generate shortcuts for custom animations
-jQuery.each( {
-	slideDown: genFx( "show" ),
-	slideUp: genFx( "hide" ),
-	slideToggle: genFx( "toggle" ),
-	fadeIn: { opacity: "show" },
-	fadeOut: { opacity: "hide" },
-	fadeToggle: { opacity: "toggle" }
-}, function( name, props ) {
-	jQuery.fn[ name ] = function( speed, easing, callback ) {
-		return this.animate( props, speed, easing, callback );
-	};
-} );
-
-jQuery.timers = [];
-jQuery.fx.tick = function() {
-	var timer,
-		i = 0,
-		timers = jQuery.timers;
-
-	fxNow = Date.now();
-
-	for ( ; i < timers.length; i++ ) {
-		timer = timers[ i ];
-
-		// Run the timer and safely remove it when done (allowing for external removal)
-		if ( !timer() && timers[ i ] === timer ) {
-			timers.splice( i--, 1 );
-		}
-	}
-
-	if ( !timers.length ) {
-		jQuery.fx.stop();
-	}
-	fxNow = undefined;
-};
-
-jQuery.fx.timer = function( timer ) {
-	jQuery.timers.push( timer );
-	jQuery.fx.start();
-};
-
-jQuery.fx.interval = 13;
-jQuery.fx.start = function() {
-	if ( inProgress ) {
-		return;
-	}
-
-	inProgress = true;
-	schedule();
-};
-
-jQuery.fx.stop = function() {
-	inProgress = null;
-};
-
-jQuery.fx.speeds = {
-	slow: 600,
-	fast: 200,
-
-	// Default speed
-	_default: 400
-};
-
-
-// Based off of the plugin by Clint Helfers, with permission.
-// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/
-jQuery.fn.delay = function( time, type ) {
-	time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time;
-	type = type || "fx";
-
-	return this.queue( type, function( next, hooks ) {
-		var timeout = window.setTimeout( next, time );
-		hooks.stop = function() {
-			window.clearTimeout( timeout );
-		};
-	} );
-};
-
-
-( function() {
-	var input = document.createElement( "input" ),
-		select = document.createElement( "select" ),
-		opt = select.appendChild( document.createElement( "option" ) );
-
-	input.type = "checkbox";
-
-	// Support: Android <=4.3 only
-	// Default value for a checkbox should be "on"
-	support.checkOn = input.value !== "";
-
-	// Support: IE <=11 only
-	// Must access selectedIndex to make default options select
-	support.optSelected = opt.selected;
-
-	// Support: IE <=11 only
-	// An input loses its value after becoming a radio
-	input = document.createElement( "input" );
-	input.value = "t";
-	input.type = "radio";
-	support.radioValue = input.value === "t";
-} )();
-
-
-var boolHook,
-	attrHandle = jQuery.expr.attrHandle;
-
-jQuery.fn.extend( {
-	attr: function( name, value ) {
-		return access( this, jQuery.attr, name, value, arguments.length > 1 );
-	},
-
-	removeAttr: function( name ) {
-		return this.each( function() {
-			jQuery.removeAttr( this, name );
-		} );
-	}
-} );
-
-jQuery.extend( {
-	attr: function( elem, name, value ) {
-		var ret, hooks,
-			nType = elem.nodeType;
-
-		// Don't get/set attributes on text, comment and attribute nodes
-		if ( nType === 3 || nType === 8 || nType === 2 ) {
-			return;
-		}
-
-		// Fallback to prop when attributes are not supported
-		if ( typeof elem.getAttribute === "undefined" ) {
-			return jQuery.prop( elem, name, value );
-		}
-
-		// Attribute hooks are determined by the lowercase version
-		// Grab necessary hook if one is defined
-		if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
-			hooks = jQuery.attrHooks[ name.toLowerCase() ] ||
-				( jQuery.expr.match.bool.test( name ) ? boolHook : undefined );
-		}
-
-		if ( value !== undefined ) {
-			if ( value === null ) {
-				jQuery.removeAttr( elem, name );
-				return;
-			}
-
-			if ( hooks && "set" in hooks &&
-				( ret = hooks.set( elem, value, name ) ) !== undefined ) {
-				return ret;
-			}
-
-			elem.setAttribute( name, value + "" );
-			return value;
-		}
-
-		if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
-			return ret;
-		}
-
-		ret = jQuery.find.attr( elem, name );
-
-		// Non-existent attributes return null, we normalize to undefined
-		return ret == null ? undefined : ret;
-	},
-
-	attrHooks: {
-		type: {
-			set: function( elem, value ) {
-				if ( !support.radioValue && value === "radio" &&
-					nodeName( elem, "input" ) ) {
-					var val = elem.value;
-					elem.setAttribute( "type", value );
-					if ( val ) {
-						elem.value = val;
-					}
-					return value;
-				}
-			}
-		}
-	},
-
-	removeAttr: function( elem, value ) {
-		var name,
-			i = 0,
-
-			// Attribute names can contain non-HTML whitespace characters
-			// https://html.spec.whatwg.org/multipage/syntax.html#attributes-2
-			attrNames = value && value.match( rnothtmlwhite );
-
-		if ( attrNames && elem.nodeType === 1 ) {
-			while ( ( name = attrNames[ i++ ] ) ) {
-				elem.removeAttribute( name );
-			}
-		}
-	}
-} );
-
-// Hooks for boolean attributes
-boolHook = {
-	set: function( elem, value, name ) {
-		if ( value === false ) {
-
-			// Remove boolean attributes when set to false
-			jQuery.removeAttr( elem, name );
-		} else {
-			elem.setAttribute( name, name );
-		}
-		return name;
-	}
-};
-
-jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( _i, name ) {
-	var getter = attrHandle[ name ] || jQuery.find.attr;
-
-	attrHandle[ name ] = function( elem, name, isXML ) {
-		var ret, handle,
-			lowercaseName = name.toLowerCase();
-
-		if ( !isXML ) {
-
-			// Avoid an infinite loop by temporarily removing this function from the getter
-			handle = attrHandle[ lowercaseName ];
-			attrHandle[ lowercaseName ] = ret;
-			ret = getter( elem, name, isXML ) != null ?
-				lowercaseName :
-				null;
-			attrHandle[ lowercaseName ] = handle;
-		}
-		return ret;
-	};
-} );
-
-
-
-
-var rfocusable = /^(?:input|select|textarea|button)$/i,
-	rclickable = /^(?:a|area)$/i;
-
-jQuery.fn.extend( {
-	prop: function( name, value ) {
-		return access( this, jQuery.prop, name, value, arguments.length > 1 );
-	},
-
-	removeProp: function( name ) {
-		return this.each( function() {
-			delete this[ jQuery.propFix[ name ] || name ];
-		} );
-	}
-} );
-
-jQuery.extend( {
-	prop: function( elem, name, value ) {
-		var ret, hooks,
-			nType = elem.nodeType;
-
-		// Don't get/set properties on text, comment and attribute nodes
-		if ( nType === 3 || nType === 8 || nType === 2 ) {
-			return;
-		}
-
-		if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
-
-			// Fix name and attach hooks
-			name = jQuery.propFix[ name ] || name;
-			hooks = jQuery.propHooks[ name ];
-		}
-
-		if ( value !== undefined ) {
-			if ( hooks && "set" in hooks &&
-				( ret = hooks.set( elem, value, name ) ) !== undefined ) {
-				return ret;
-			}
-
-			return ( elem[ name ] = value );
-		}
-
-		if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
-			return ret;
-		}
-
-		return elem[ name ];
-	},
-
-	propHooks: {
-		tabIndex: {
-			get: function( elem ) {
-
-				// Support: IE <=9 - 11 only
-				// elem.tabIndex doesn't always return the
-				// correct value when it hasn't been explicitly set
-				// https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/
-				// Use proper attribute retrieval(#12072)
-				var tabindex = jQuery.find.attr( elem, "tabindex" );
-
-				if ( tabindex ) {
-					return parseInt( tabindex, 10 );
-				}
-
-				if (
-					rfocusable.test( elem.nodeName ) ||
-					rclickable.test( elem.nodeName ) &&
-					elem.href
-				) {
-					return 0;
-				}
-
-				return -1;
-			}
-		}
-	},
-
-	propFix: {
-		"for": "htmlFor",
-		"class": "className"
-	}
-} );
-
-// Support: IE <=11 only
-// Accessing the selectedIndex property
-// forces the browser to respect setting selected
-// on the option
-// The getter ensures a default option is selected
-// when in an optgroup
-// eslint rule "no-unused-expressions" is disabled for this code
-// since it considers such accessions noop
-if ( !support.optSelected ) {
-	jQuery.propHooks.selected = {
-		get: function( elem ) {
-
-			/* eslint no-unused-expressions: "off" */
-
-			var parent = elem.parentNode;
-			if ( parent && parent.parentNode ) {
-				parent.parentNode.selectedIndex;
-			}
-			return null;
-		},
-		set: function( elem ) {
-
-			/* eslint no-unused-expressions: "off" */
-
-			var parent = elem.parentNode;
-			if ( parent ) {
-				parent.selectedIndex;
-
-				if ( parent.parentNode ) {
-					parent.parentNode.selectedIndex;
-				}
-			}
-		}
-	};
-}
-
-jQuery.each( [
-	"tabIndex",
-	"readOnly",
-	"maxLength",
-	"cellSpacing",
-	"cellPadding",
-	"rowSpan",
-	"colSpan",
-	"useMap",
-	"frameBorder",
-	"contentEditable"
-], function() {
-	jQuery.propFix[ this.toLowerCase() ] = this;
-} );
-
-
-
-
-	// Strip and collapse whitespace according to HTML spec
-	// https://infra.spec.whatwg.org/#strip-and-collapse-ascii-whitespace
-	function stripAndCollapse( value ) {
-		var tokens = value.match( rnothtmlwhite ) || [];
-		return tokens.join( " " );
-	}
-
-
-function getClass( elem ) {
-	return elem.getAttribute && elem.getAttribute( "class" ) || "";
-}
-
-function classesToArray( value ) {
-	if ( Array.isArray( value ) ) {
-		return value;
-	}
-	if ( typeof value === "string" ) {
-		return value.match( rnothtmlwhite ) || [];
-	}
-	return [];
-}
-
-jQuery.fn.extend( {
-	addClass: function( value ) {
-		var classes, elem, cur, curValue, clazz, j, finalValue,
-			i = 0;
-
-		if ( isFunction( value ) ) {
-			return this.each( function( j ) {
-				jQuery( this ).addClass( value.call( this, j, getClass( this ) ) );
-			} );
-		}
-
-		classes = classesToArray( value );
-
-		if ( classes.length ) {
-			while ( ( elem = this[ i++ ] ) ) {
-				curValue = getClass( elem );
-				cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
-
-				if ( cur ) {
-					j = 0;
-					while ( ( clazz = classes[ j++ ] ) ) {
-						if ( cur.indexOf( " " + clazz + " " ) < 0 ) {
-							cur += clazz + " ";
-						}
-					}
-
-					// Only assign if different to avoid unneeded rendering.
-					finalValue = stripAndCollapse( cur );
-					if ( curValue !== finalValue ) {
-						elem.setAttribute( "class", finalValue );
-					}
-				}
-			}
-		}
-
-		return this;
-	},
-
-	removeClass: function( value ) {
-		var classes, elem, cur, curValue, clazz, j, finalValue,
-			i = 0;
-
-		if ( isFunction( value ) ) {
-			return this.each( function( j ) {
-				jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) );
-			} );
-		}
-
-		if ( !arguments.length ) {
-			return this.attr( "class", "" );
-		}
-
-		classes = classesToArray( value );
-
-		if ( classes.length ) {
-			while ( ( elem = this[ i++ ] ) ) {
-				curValue = getClass( elem );
-
-				// This expression is here for better compressibility (see addClass)
-				cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
-
-				if ( cur ) {
-					j = 0;
-					while ( ( clazz = classes[ j++ ] ) ) {
-
-						// Remove *all* instances
-						while ( cur.indexOf( " " + clazz + " " ) > -1 ) {
-							cur = cur.replace( " " + clazz + " ", " " );
-						}
-					}
-
-					// Only assign if different to avoid unneeded rendering.
-					finalValue = stripAndCollapse( cur );
-					if ( curValue !== finalValue ) {
-						elem.setAttribute( "class", finalValue );
-					}
-				}
-			}
-		}
-
-		return this;
-	},
-
-	toggleClass: function( value, stateVal ) {
-		var type = typeof value,
-			isValidValue = type === "string" || Array.isArray( value );
-
-		if ( typeof stateVal === "boolean" && isValidValue ) {
-			return stateVal ? this.addClass( value ) : this.removeClass( value );
-		}
-
-		if ( isFunction( value ) ) {
-			return this.each( function( i ) {
-				jQuery( this ).toggleClass(
-					value.call( this, i, getClass( this ), stateVal ),
-					stateVal
-				);
-			} );
-		}
-
-		return this.each( function() {
-			var className, i, self, classNames;
-
-			if ( isValidValue ) {
-
-				// Toggle individual class names
-				i = 0;
-				self = jQuery( this );
-				classNames = classesToArray( value );
-
-				while ( ( className = classNames[ i++ ] ) ) {
-
-					// Check each className given, space separated list
-					if ( self.hasClass( className ) ) {
-						self.removeClass( className );
-					} else {
-						self.addClass( className );
-					}
-				}
-
-			// Toggle whole class name
-			} else if ( value === undefined || type === "boolean" ) {
-				className = getClass( this );
-				if ( className ) {
-
-					// Store className if set
-					dataPriv.set( this, "__className__", className );
-				}
-
-				// If the element has a class name or if we're passed `false`,
-				// then remove the whole classname (if there was one, the above saved it).
-				// Otherwise bring back whatever was previously saved (if anything),
-				// falling back to the empty string if nothing was stored.
-				if ( this.setAttribute ) {
-					this.setAttribute( "class",
-						className || value === false ?
-							"" :
-							dataPriv.get( this, "__className__" ) || ""
-					);
-				}
-			}
-		} );
-	},
-
-	hasClass: function( selector ) {
-		var className, elem,
-			i = 0;
-
-		className = " " + selector + " ";
-		while ( ( elem = this[ i++ ] ) ) {
-			if ( elem.nodeType === 1 &&
-				( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) {
-				return true;
-			}
-		}
-
-		return false;
-	}
-} );
-
-
-
-
-var rreturn = /\r/g;
-
-jQuery.fn.extend( {
-	val: function( value ) {
-		var hooks, ret, valueIsFunction,
-			elem = this[ 0 ];
-
-		if ( !arguments.length ) {
-			if ( elem ) {
-				hooks = jQuery.valHooks[ elem.type ] ||
-					jQuery.valHooks[ elem.nodeName.toLowerCase() ];
-
-				if ( hooks &&
-					"get" in hooks &&
-					( ret = hooks.get( elem, "value" ) ) !== undefined
-				) {
-					return ret;
-				}
-
-				ret = elem.value;
-
-				// Handle most common string cases
-				if ( typeof ret === "string" ) {
-					return ret.replace( rreturn, "" );
-				}
-
-				// Handle cases where value is null/undef or number
-				return ret == null ? "" : ret;
-			}
-
-			return;
-		}
-
-		valueIsFunction = isFunction( value );
-
-		return this.each( function( i ) {
-			var val;
-
-			if ( this.nodeType !== 1 ) {
-				return;
-			}
-
-			if ( valueIsFunction ) {
-				val = value.call( this, i, jQuery( this ).val() );
-			} else {
-				val = value;
-			}
-
-			// Treat null/undefined as ""; convert numbers to string
-			if ( val == null ) {
-				val = "";
-
-			} else if ( typeof val === "number" ) {
-				val += "";
-
-			} else if ( Array.isArray( val ) ) {
-				val = jQuery.map( val, function( value ) {
-					return value == null ? "" : value + "";
-				} );
-			}
-
-			hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ];
-
-			// If set returns undefined, fall back to normal setting
-			if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) {
-				this.value = val;
-			}
-		} );
-	}
-} );
-
-jQuery.extend( {
-	valHooks: {
-		option: {
-			get: function( elem ) {
-
-				var val = jQuery.find.attr( elem, "value" );
-				return val != null ?
-					val :
-
-					// Support: IE <=10 - 11 only
-					// option.text throws exceptions (#14686, #14858)
-					// Strip and collapse whitespace
-					// https://html.spec.whatwg.org/#strip-and-collapse-whitespace
-					stripAndCollapse( jQuery.text( elem ) );
-			}
-		},
-		select: {
-			get: function( elem ) {
-				var value, option, i,
-					options = elem.options,
-					index = elem.selectedIndex,
-					one = elem.type === "select-one",
-					values = one ? null : [],
-					max = one ? index + 1 : options.length;
-
-				if ( index < 0 ) {
-					i = max;
-
-				} else {
-					i = one ? index : 0;
-				}
-
-				// Loop through all the selected options
-				for ( ; i < max; i++ ) {
-					option = options[ i ];
-
-					// Support: IE <=9 only
-					// IE8-9 doesn't update selected after form reset (#2551)
-					if ( ( option.selected || i === index ) &&
-
-							// Don't return options that are disabled or in a disabled optgroup
-							!option.disabled &&
-							( !option.parentNode.disabled ||
-								!nodeName( option.parentNode, "optgroup" ) ) ) {
-
-						// Get the specific value for the option
-						value = jQuery( option ).val();
-
-						// We don't need an array for one selects
-						if ( one ) {
-							return value;
-						}
-
-						// Multi-Selects return an array
-						values.push( value );
-					}
-				}
-
-				return values;
-			},
-
-			set: function( elem, value ) {
-				var optionSet, option,
-					options = elem.options,
-					values = jQuery.makeArray( value ),
-					i = options.length;
-
-				while ( i-- ) {
-					option = options[ i ];
-
-					/* eslint-disable no-cond-assign */
-
-					if ( option.selected =
-						jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1
-					) {
-						optionSet = true;
-					}
-
-					/* eslint-enable no-cond-assign */
-				}
-
-				// Force browsers to behave consistently when non-matching value is set
-				if ( !optionSet ) {
-					elem.selectedIndex = -1;
-				}
-				return values;
-			}
-		}
-	}
-} );
-
-// Radios and checkboxes getter/setter
-jQuery.each( [ "radio", "checkbox" ], function() {
-	jQuery.valHooks[ this ] = {
-		set: function( elem, value ) {
-			if ( Array.isArray( value ) ) {
-				return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 );
-			}
-		}
-	};
-	if ( !support.checkOn ) {
-		jQuery.valHooks[ this ].get = function( elem ) {
-			return elem.getAttribute( "value" ) === null ? "on" : elem.value;
-		};
-	}
-} );
-
-
-
-
-// Return jQuery for attributes-only inclusion
-
-
-support.focusin = "onfocusin" in window;
-
-
-var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/,
-	stopPropagationCallback = function( e ) {
-		e.stopPropagation();
-	};
-
-jQuery.extend( jQuery.event, {
-
-	trigger: function( event, data, elem, onlyHandlers ) {
-
-		var i, cur, tmp, bubbleType, ontype, handle, special, lastElement,
-			eventPath = [ elem || document ],
-			type = hasOwn.call( event, "type" ) ? event.type : event,
-			namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : [];
-
-		cur = lastElement = tmp = elem = elem || document;
-
-		// Don't do events on text and comment nodes
-		if ( elem.nodeType === 3 || elem.nodeType === 8 ) {
-			return;
-		}
-
-		// focus/blur morphs to focusin/out; ensure we're not firing them right now
-		if ( rfocusMorph.test( type + jQuery.event.triggered ) ) {
-			return;
-		}
-
-		if ( type.indexOf( "." ) > -1 ) {
-
-			// Namespaced trigger; create a regexp to match event type in handle()
-			namespaces = type.split( "." );
-			type = namespaces.shift();
-			namespaces.sort();
-		}
-		ontype = type.indexOf( ":" ) < 0 && "on" + type;
-
-		// Caller can pass in a jQuery.Event object, Object, or just an event type string
-		event = event[ jQuery.expando ] ?
-			event :
-			new jQuery.Event( type, typeof event === "object" && event );
-
-		// Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true)
-		event.isTrigger = onlyHandlers ? 2 : 3;
-		event.namespace = namespaces.join( "." );
-		event.rnamespace = event.namespace ?
-			new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) :
-			null;
-
-		// Clean up the event in case it is being reused
-		event.result = undefined;
-		if ( !event.target ) {
-			event.target = elem;
-		}
-
-		// Clone any incoming data and prepend the event, creating the handler arg list
-		data = data == null ?
-			[ event ] :
-			jQuery.makeArray( data, [ event ] );
-
-		// Allow special events to draw outside the lines
-		special = jQuery.event.special[ type ] || {};
-		if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) {
-			return;
-		}
-
-		// Determine event propagation path in advance, per W3C events spec (#9951)
-		// Bubble up to document, then to window; watch for a global ownerDocument var (#9724)
-		if ( !onlyHandlers && !special.noBubble && !isWindow( elem ) ) {
-
-			bubbleType = special.delegateType || type;
-			if ( !rfocusMorph.test( bubbleType + type ) ) {
-				cur = cur.parentNode;
-			}
-			for ( ; cur; cur = cur.parentNode ) {
-				eventPath.push( cur );
-				tmp = cur;
-			}
-
-			// Only add window if we got to document (e.g., not plain obj or detached DOM)
-			if ( tmp === ( elem.ownerDocument || document ) ) {
-				eventPath.push( tmp.defaultView || tmp.parentWindow || window );
-			}
-		}
-
-		// Fire handlers on the event path
-		i = 0;
-		while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) {
-			lastElement = cur;
-			event.type = i > 1 ?
-				bubbleType :
-				special.bindType || type;
-
-			// jQuery handler
-			handle = ( dataPriv.get( cur, "events" ) || Object.create( null ) )[ event.type ] &&
-				dataPriv.get( cur, "handle" );
-			if ( handle ) {
-				handle.apply( cur, data );
-			}
-
-			// Native handler
-			handle = ontype && cur[ ontype ];
-			if ( handle && handle.apply && acceptData( cur ) ) {
-				event.result = handle.apply( cur, data );
-				if ( event.result === false ) {
-					event.preventDefault();
-				}
-			}
-		}
-		event.type = type;
-
-		// If nobody prevented the default action, do it now
-		if ( !onlyHandlers && !event.isDefaultPrevented() ) {
-
-			if ( ( !special._default ||
-				special._default.apply( eventPath.pop(), data ) === false ) &&
-				acceptData( elem ) ) {
-
-				// Call a native DOM method on the target with the same name as the event.
-				// Don't do default actions on window, that's where global variables be (#6170)
-				if ( ontype && isFunction( elem[ type ] ) && !isWindow( elem ) ) {
-
-					// Don't re-trigger an onFOO event when we call its FOO() method
-					tmp = elem[ ontype ];
-
-					if ( tmp ) {
-						elem[ ontype ] = null;
-					}
-
-					// Prevent re-triggering of the same event, since we already bubbled it above
-					jQuery.event.triggered = type;
-
-					if ( event.isPropagationStopped() ) {
-						lastElement.addEventListener( type, stopPropagationCallback );
-					}
-
-					elem[ type ]();
-
-					if ( event.isPropagationStopped() ) {
-						lastElement.removeEventListener( type, stopPropagationCallback );
-					}
-
-					jQuery.event.triggered = undefined;
-
-					if ( tmp ) {
-						elem[ ontype ] = tmp;
-					}
-				}
-			}
-		}
-
-		return event.result;
-	},
-
-	// Piggyback on a donor event to simulate a different one
-	// Used only for `focus(in | out)` events
-	simulate: function( type, elem, event ) {
-		var e = jQuery.extend(
-			new jQuery.Event(),
-			event,
-			{
-				type: type,
-				isSimulated: true
-			}
-		);
-
-		jQuery.event.trigger( e, null, elem );
-	}
-
-} );
-
-jQuery.fn.extend( {
-
-	trigger: function( type, data ) {
-		return this.each( function() {
-			jQuery.event.trigger( type, data, this );
-		} );
-	},
-	triggerHandler: function( type, data ) {
-		var elem = this[ 0 ];
-		if ( elem ) {
-			return jQuery.event.trigger( type, data, elem, true );
-		}
-	}
-} );
-
-
-// Support: Firefox <=44
-// Firefox doesn't have focus(in | out) events
-// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787
-//
-// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1
-// focus(in | out) events fire after focus & blur events,
-// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order
-// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857
-if ( !support.focusin ) {
-	jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) {
-
-		// Attach a single capturing handler on the document while someone wants focusin/focusout
-		var handler = function( event ) {
-			jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) );
-		};
-
-		jQuery.event.special[ fix ] = {
-			setup: function() {
-
-				// Handle: regular nodes (via `this.ownerDocument`), window
-				// (via `this.document`) & document (via `this`).
-				var doc = this.ownerDocument || this.document || this,
-					attaches = dataPriv.access( doc, fix );
-
-				if ( !attaches ) {
-					doc.addEventListener( orig, handler, true );
-				}
-				dataPriv.access( doc, fix, ( attaches || 0 ) + 1 );
-			},
-			teardown: function() {
-				var doc = this.ownerDocument || this.document || this,
-					attaches = dataPriv.access( doc, fix ) - 1;
-
-				if ( !attaches ) {
-					doc.removeEventListener( orig, handler, true );
-					dataPriv.remove( doc, fix );
-
-				} else {
-					dataPriv.access( doc, fix, attaches );
-				}
-			}
-		};
-	} );
-}
-var location = window.location;
-
-var nonce = { guid: Date.now() };
-
-var rquery = ( /\?/ );
-
-
-
-// Cross-browser xml parsing
-jQuery.parseXML = function( data ) {
-	var xml, parserErrorElem;
-	if ( !data || typeof data !== "string" ) {
-		return null;
-	}
-
-	// Support: IE 9 - 11 only
-	// IE throws on parseFromString with invalid input.
-	try {
-		xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" );
-	} catch ( e ) {}
-
-	parserErrorElem = xml && xml.getElementsByTagName( "parsererror" )[ 0 ];
-	if ( !xml || parserErrorElem ) {
-		jQuery.error( "Invalid XML: " + (
-			parserErrorElem ?
-				jQuery.map( parserErrorElem.childNodes, function( el ) {
-					return el.textContent;
-				} ).join( "\n" ) :
-				data
-		) );
-	}
-	return xml;
-};
-
-
-var
-	rbracket = /\[\]$/,
-	rCRLF = /\r?\n/g,
-	rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i,
-	rsubmittable = /^(?:input|select|textarea|keygen)/i;
-
-function buildParams( prefix, obj, traditional, add ) {
-	var name;
-
-	if ( Array.isArray( obj ) ) {
-
-		// Serialize array item.
-		jQuery.each( obj, function( i, v ) {
-			if ( traditional || rbracket.test( prefix ) ) {
-
-				// Treat each array item as a scalar.
-				add( prefix, v );
-
-			} else {
-
-				// Item is non-scalar (array or object), encode its numeric index.
-				buildParams(
-					prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]",
-					v,
-					traditional,
-					add
-				);
-			}
-		} );
-
-	} else if ( !traditional && toType( obj ) === "object" ) {
-
-		// Serialize object item.
-		for ( name in obj ) {
-			buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add );
-		}
-
-	} else {
-
-		// Serialize scalar item.
-		add( prefix, obj );
-	}
-}
-
-// Serialize an array of form elements or a set of
-// key/values into a query string
-jQuery.param = function( a, traditional ) {
-	var prefix,
-		s = [],
-		add = function( key, valueOrFunction ) {
-
-			// If value is a function, invoke it and use its return value
-			var value = isFunction( valueOrFunction ) ?
-				valueOrFunction() :
-				valueOrFunction;
-
-			s[ s.length ] = encodeURIComponent( key ) + "=" +
-				encodeURIComponent( value == null ? "" : value );
-		};
-
-	if ( a == null ) {
-		return "";
-	}
-
-	// If an array was passed in, assume that it is an array of form elements.
-	if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) {
-
-		// Serialize the form elements
-		jQuery.each( a, function() {
-			add( this.name, this.value );
-		} );
-
-	} else {
-
-		// If traditional, encode the "old" way (the way 1.3.2 or older
-		// did it), otherwise encode params recursively.
-		for ( prefix in a ) {
-			buildParams( prefix, a[ prefix ], traditional, add );
-		}
-	}
-
-	// Return the resulting serialization
-	return s.join( "&" );
-};
-
-jQuery.fn.extend( {
-	serialize: function() {
-		return jQuery.param( this.serializeArray() );
-	},
-	serializeArray: function() {
-		return this.map( function() {
-
-			// Can add propHook for "elements" to filter or add form elements
-			var elements = jQuery.prop( this, "elements" );
-			return elements ? jQuery.makeArray( elements ) : this;
-		} ).filter( function() {
-			var type = this.type;
-
-			// Use .is( ":disabled" ) so that fieldset[disabled] works
-			return this.name && !jQuery( this ).is( ":disabled" ) &&
-				rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) &&
-				( this.checked || !rcheckableType.test( type ) );
-		} ).map( function( _i, elem ) {
-			var val = jQuery( this ).val();
-
-			if ( val == null ) {
-				return null;
-			}
-
-			if ( Array.isArray( val ) ) {
-				return jQuery.map( val, function( val ) {
-					return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
-				} );
-			}
-
-			return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
-		} ).get();
-	}
-} );
-
-
-var
-	r20 = /%20/g,
-	rhash = /#.*$/,
-	rantiCache = /([?&])_=[^&]*/,
-	rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg,
-
-	// #7653, #8125, #8152: local protocol detection
-	rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/,
-	rnoContent = /^(?:GET|HEAD)$/,
-	rprotocol = /^\/\//,
-
-	/* Prefilters
-	 * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example)
-	 * 2) These are called:
-	 *    - BEFORE asking for a transport
-	 *    - AFTER param serialization (s.data is a string if s.processData is true)
-	 * 3) key is the dataType
-	 * 4) the catchall symbol "*" can be used
-	 * 5) execution will start with transport dataType and THEN continue down to "*" if needed
-	 */
-	prefilters = {},
-
-	/* Transports bindings
-	 * 1) key is the dataType
-	 * 2) the catchall symbol "*" can be used
-	 * 3) selection will start with transport dataType and THEN go to "*" if needed
-	 */
-	transports = {},
-
-	// Avoid comment-prolog char sequence (#10098); must appease lint and evade compression
-	allTypes = "*/".concat( "*" ),
-
-	// Anchor tag for parsing the document origin
-	originAnchor = document.createElement( "a" );
-
-originAnchor.href = location.href;
-
-// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport
-function addToPrefiltersOrTransports( structure ) {
-
-	// dataTypeExpression is optional and defaults to "*"
-	return function( dataTypeExpression, func ) {
-
-		if ( typeof dataTypeExpression !== "string" ) {
-			func = dataTypeExpression;
-			dataTypeExpression = "*";
-		}
-
-		var dataType,
-			i = 0,
-			dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || [];
-
-		if ( isFunction( func ) ) {
-
-			// For each dataType in the dataTypeExpression
-			while ( ( dataType = dataTypes[ i++ ] ) ) {
-
-				// Prepend if requested
-				if ( dataType[ 0 ] === "+" ) {
-					dataType = dataType.slice( 1 ) || "*";
-					( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func );
-
-				// Otherwise append
-				} else {
-					( structure[ dataType ] = structure[ dataType ] || [] ).push( func );
-				}
-			}
-		}
-	};
-}
-
-// Base inspection function for prefilters and transports
-function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) {
-
-	var inspected = {},
-		seekingTransport = ( structure === transports );
-
-	function inspect( dataType ) {
-		var selected;
-		inspected[ dataType ] = true;
-		jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) {
-			var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR );
-			if ( typeof dataTypeOrTransport === "string" &&
-				!seekingTransport && !inspected[ dataTypeOrTransport ] ) {
-
-				options.dataTypes.unshift( dataTypeOrTransport );
-				inspect( dataTypeOrTransport );
-				return false;
-			} else if ( seekingTransport ) {
-				return !( selected = dataTypeOrTransport );
-			}
-		} );
-		return selected;
-	}
-
-	return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" );
-}
-
-// A special extend for ajax options
-// that takes "flat" options (not to be deep extended)
-// Fixes #9887
-function ajaxExtend( target, src ) {
-	var key, deep,
-		flatOptions = jQuery.ajaxSettings.flatOptions || {};
-
-	for ( key in src ) {
-		if ( src[ key ] !== undefined ) {
-			( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ];
-		}
-	}
-	if ( deep ) {
-		jQuery.extend( true, target, deep );
-	}
-
-	return target;
-}
-
-/* Handles responses to an ajax request:
- * - finds the right dataType (mediates between content-type and expected dataType)
- * - returns the corresponding response
- */
-function ajaxHandleResponses( s, jqXHR, responses ) {
-
-	var ct, type, finalDataType, firstDataType,
-		contents = s.contents,
-		dataTypes = s.dataTypes;
-
-	// Remove auto dataType and get content-type in the process
-	while ( dataTypes[ 0 ] === "*" ) {
-		dataTypes.shift();
-		if ( ct === undefined ) {
-			ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" );
-		}
-	}
-
-	// Check if we're dealing with a known content-type
-	if ( ct ) {
-		for ( type in contents ) {
-			if ( contents[ type ] && contents[ type ].test( ct ) ) {
-				dataTypes.unshift( type );
-				break;
-			}
-		}
-	}
-
-	// Check to see if we have a response for the expected dataType
-	if ( dataTypes[ 0 ] in responses ) {
-		finalDataType = dataTypes[ 0 ];
-	} else {
-
-		// Try convertible dataTypes
-		for ( type in responses ) {
-			if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) {
-				finalDataType = type;
-				break;
-			}
-			if ( !firstDataType ) {
-				firstDataType = type;
-			}
-		}
-
-		// Or just use first one
-		finalDataType = finalDataType || firstDataType;
-	}
-
-	// If we found a dataType
-	// We add the dataType to the list if needed
-	// and return the corresponding response
-	if ( finalDataType ) {
-		if ( finalDataType !== dataTypes[ 0 ] ) {
-			dataTypes.unshift( finalDataType );
-		}
-		return responses[ finalDataType ];
-	}
-}
-
-/* Chain conversions given the request and the original response
- * Also sets the responseXXX fields on the jqXHR instance
- */
-function ajaxConvert( s, response, jqXHR, isSuccess ) {
-	var conv2, current, conv, tmp, prev,
-		converters = {},
-
-		// Work with a copy of dataTypes in case we need to modify it for conversion
-		dataTypes = s.dataTypes.slice();
-
-	// Create converters map with lowercased keys
-	if ( dataTypes[ 1 ] ) {
-		for ( conv in s.converters ) {
-			converters[ conv.toLowerCase() ] = s.converters[ conv ];
-		}
-	}
-
-	current = dataTypes.shift();
-
-	// Convert to each sequential dataType
-	while ( current ) {
-
-		if ( s.responseFields[ current ] ) {
-			jqXHR[ s.responseFields[ current ] ] = response;
-		}
-
-		// Apply the dataFilter if provided
-		if ( !prev && isSuccess && s.dataFilter ) {
-			response = s.dataFilter( response, s.dataType );
-		}
-
-		prev = current;
-		current = dataTypes.shift();
-
-		if ( current ) {
-
-			// There's only work to do if current dataType is non-auto
-			if ( current === "*" ) {
-
-				current = prev;
-
-			// Convert response if prev dataType is non-auto and differs from current
-			} else if ( prev !== "*" && prev !== current ) {
-
-				// Seek a direct converter
-				conv = converters[ prev + " " + current ] || converters[ "* " + current ];
-
-				// If none found, seek a pair
-				if ( !conv ) {
-					for ( conv2 in converters ) {
-
-						// If conv2 outputs current
-						tmp = conv2.split( " " );
-						if ( tmp[ 1 ] === current ) {
-
-							// If prev can be converted to accepted input
-							conv = converters[ prev + " " + tmp[ 0 ] ] ||
-								converters[ "* " + tmp[ 0 ] ];
-							if ( conv ) {
-
-								// Condense equivalence converters
-								if ( conv === true ) {
-									conv = converters[ conv2 ];
-
-								// Otherwise, insert the intermediate dataType
-								} else if ( converters[ conv2 ] !== true ) {
-									current = tmp[ 0 ];
-									dataTypes.unshift( tmp[ 1 ] );
-								}
-								break;
-							}
-						}
-					}
-				}
-
-				// Apply converter (if not an equivalence)
-				if ( conv !== true ) {
-
-					// Unless errors are allowed to bubble, catch and return them
-					if ( conv && s.throws ) {
-						response = conv( response );
-					} else {
-						try {
-							response = conv( response );
-						} catch ( e ) {
-							return {
-								state: "parsererror",
-								error: conv ? e : "No conversion from " + prev + " to " + current
-							};
-						}
-					}
-				}
-			}
-		}
-	}
-
-	return { state: "success", data: response };
-}
-
-jQuery.extend( {
-
-	// Counter for holding the number of active queries
-	active: 0,
-
-	// Last-Modified header cache for next request
-	lastModified: {},
-	etag: {},
-
-	ajaxSettings: {
-		url: location.href,
-		type: "GET",
-		isLocal: rlocalProtocol.test( location.protocol ),
-		global: true,
-		processData: true,
-		async: true,
-		contentType: "application/x-www-form-urlencoded; charset=UTF-8",
-
-		/*
-		timeout: 0,
-		data: null,
-		dataType: null,
-		username: null,
-		password: null,
-		cache: null,
-		throws: false,
-		traditional: false,
-		headers: {},
-		*/
-
-		accepts: {
-			"*": allTypes,
-			text: "text/plain",
-			html: "text/html",
-			xml: "application/xml, text/xml",
-			json: "application/json, text/javascript"
-		},
-
-		contents: {
-			xml: /\bxml\b/,
-			html: /\bhtml/,
-			json: /\bjson\b/
-		},
-
-		responseFields: {
-			xml: "responseXML",
-			text: "responseText",
-			json: "responseJSON"
-		},
-
-		// Data converters
-		// Keys separate source (or catchall "*") and destination types with a single space
-		converters: {
-
-			// Convert anything to text
-			"* text": String,
-
-			// Text to html (true = no transformation)
-			"text html": true,
-
-			// Evaluate text as a json expression
-			"text json": JSON.parse,
-
-			// Parse text as xml
-			"text xml": jQuery.parseXML
-		},
-
-		// For options that shouldn't be deep extended:
-		// you can add your own custom options here if
-		// and when you create one that shouldn't be
-		// deep extended (see ajaxExtend)
-		flatOptions: {
-			url: true,
-			context: true
-		}
-	},
-
-	// Creates a full fledged settings object into target
-	// with both ajaxSettings and settings fields.
-	// If target is omitted, writes into ajaxSettings.
-	ajaxSetup: function( target, settings ) {
-		return settings ?
-
-			// Building a settings object
-			ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) :
-
-			// Extending ajaxSettings
-			ajaxExtend( jQuery.ajaxSettings, target );
-	},
-
-	ajaxPrefilter: addToPrefiltersOrTransports( prefilters ),
-	ajaxTransport: addToPrefiltersOrTransports( transports ),
-
-	// Main method
-	ajax: function( url, options ) {
-
-		// If url is an object, simulate pre-1.5 signature
-		if ( typeof url === "object" ) {
-			options = url;
-			url = undefined;
-		}
-
-		// Force options to be an object
-		options = options || {};
-
-		var transport,
-
-			// URL without anti-cache param
-			cacheURL,
-
-			// Response headers
-			responseHeadersString,
-			responseHeaders,
-
-			// timeout handle
-			timeoutTimer,
-
-			// Url cleanup var
-			urlAnchor,
-
-			// Request state (becomes false upon send and true upon completion)
-			completed,
-
-			// To know if global events are to be dispatched
-			fireGlobals,
-
-			// Loop variable
-			i,
-
-			// uncached part of the url
-			uncached,
-
-			// Create the final options object
-			s = jQuery.ajaxSetup( {}, options ),
-
-			// Callbacks context
-			callbackContext = s.context || s,
-
-			// Context for global events is callbackContext if it is a DOM node or jQuery collection
-			globalEventContext = s.context &&
-				( callbackContext.nodeType || callbackContext.jquery ) ?
-				jQuery( callbackContext ) :
-				jQuery.event,
-
-			// Deferreds
-			deferred = jQuery.Deferred(),
-			completeDeferred = jQuery.Callbacks( "once memory" ),
-
-			// Status-dependent callbacks
-			statusCode = s.statusCode || {},
-
-			// Headers (they are sent all at once)
-			requestHeaders = {},
-			requestHeadersNames = {},
-
-			// Default abort message
-			strAbort = "canceled",
-
-			// Fake xhr
-			jqXHR = {
-				readyState: 0,
-
-				// Builds headers hashtable if needed
-				getResponseHeader: function( key ) {
-					var match;
-					if ( completed ) {
-						if ( !responseHeaders ) {
-							responseHeaders = {};
-							while ( ( match = rheaders.exec( responseHeadersString ) ) ) {
-								responseHeaders[ match[ 1 ].toLowerCase() + " " ] =
-									( responseHeaders[ match[ 1 ].toLowerCase() + " " ] || [] )
-										.concat( match[ 2 ] );
-							}
-						}
-						match = responseHeaders[ key.toLowerCase() + " " ];
-					}
-					return match == null ? null : match.join( ", " );
-				},
-
-				// Raw string
-				getAllResponseHeaders: function() {
-					return completed ? responseHeadersString : null;
-				},
-
-				// Caches the header
-				setRequestHeader: function( name, value ) {
-					if ( completed == null ) {
-						name = requestHeadersNames[ name.toLowerCase() ] =
-							requestHeadersNames[ name.toLowerCase() ] || name;
-						requestHeaders[ name ] = value;
-					}
-					return this;
-				},
-
-				// Overrides response content-type header
-				overrideMimeType: function( type ) {
-					if ( completed == null ) {
-						s.mimeType = type;
-					}
-					return this;
-				},
-
-				// Status-dependent callbacks
-				statusCode: function( map ) {
-					var code;
-					if ( map ) {
-						if ( completed ) {
-
-							// Execute the appropriate callbacks
-							jqXHR.always( map[ jqXHR.status ] );
-						} else {
-
-							// Lazy-add the new callbacks in a way that preserves old ones
-							for ( code in map ) {
-								statusCode[ code ] = [ statusCode[ code ], map[ code ] ];
-							}
-						}
-					}
-					return this;
-				},
-
-				// Cancel the request
-				abort: function( statusText ) {
-					var finalText = statusText || strAbort;
-					if ( transport ) {
-						transport.abort( finalText );
-					}
-					done( 0, finalText );
-					return this;
-				}
-			};
-
-		// Attach deferreds
-		deferred.promise( jqXHR );
-
-		// Add protocol if not provided (prefilters might expect it)
-		// Handle falsy url in the settings object (#10093: consistency with old signature)
-		// We also use the url parameter if available
-		s.url = ( ( url || s.url || location.href ) + "" )
-			.replace( rprotocol, location.protocol + "//" );
-
-		// Alias method option to type as per ticket #12004
-		s.type = options.method || options.type || s.method || s.type;
-
-		// Extract dataTypes list
-		s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ];
-
-		// A cross-domain request is in order when the origin doesn't match the current origin.
-		if ( s.crossDomain == null ) {
-			urlAnchor = document.createElement( "a" );
-
-			// Support: IE <=8 - 11, Edge 12 - 15
-			// IE throws exception on accessing the href property if url is malformed,
-			// e.g. http://example.com:80x/
-			try {
-				urlAnchor.href = s.url;
-
-				// Support: IE <=8 - 11 only
-				// Anchor's host property isn't correctly set when s.url is relative
-				urlAnchor.href = urlAnchor.href;
-				s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !==
-					urlAnchor.protocol + "//" + urlAnchor.host;
-			} catch ( e ) {
-
-				// If there is an error parsing the URL, assume it is crossDomain,
-				// it can be rejected by the transport if it is invalid
-				s.crossDomain = true;
-			}
-		}
-
-		// Convert data if not already a string
-		if ( s.data && s.processData && typeof s.data !== "string" ) {
-			s.data = jQuery.param( s.data, s.traditional );
-		}
-
-		// Apply prefilters
-		inspectPrefiltersOrTransports( prefilters, s, options, jqXHR );
-
-		// If request was aborted inside a prefilter, stop there
-		if ( completed ) {
-			return jqXHR;
-		}
-
-		// We can fire global events as of now if asked to
-		// Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118)
-		fireGlobals = jQuery.event && s.global;
-
-		// Watch for a new set of requests
-		if ( fireGlobals && jQuery.active++ === 0 ) {
-			jQuery.event.trigger( "ajaxStart" );
-		}
-
-		// Uppercase the type
-		s.type = s.type.toUpperCase();
-
-		// Determine if request has content
-		s.hasContent = !rnoContent.test( s.type );
-
-		// Save the URL in case we're toying with the If-Modified-Since
-		// and/or If-None-Match header later on
-		// Remove hash to simplify url manipulation
-		cacheURL = s.url.replace( rhash, "" );
-
-		// More options handling for requests with no content
-		if ( !s.hasContent ) {
-
-			// Remember the hash so we can put it back
-			uncached = s.url.slice( cacheURL.length );
-
-			// If data is available and should be processed, append data to url
-			if ( s.data && ( s.processData || typeof s.data === "string" ) ) {
-				cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data;
-
-				// #9682: remove data so that it's not used in an eventual retry
-				delete s.data;
-			}
-
-			// Add or update anti-cache param if needed
-			if ( s.cache === false ) {
-				cacheURL = cacheURL.replace( rantiCache, "$1" );
-				uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce.guid++ ) +
-					uncached;
-			}
-
-			// Put hash and anti-cache on the URL that will be requested (gh-1732)
-			s.url = cacheURL + uncached;
-
-		// Change '%20' to '+' if this is encoded form body content (gh-2658)
-		} else if ( s.data && s.processData &&
-			( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) {
-			s.data = s.data.replace( r20, "+" );
-		}
-
-		// Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
-		if ( s.ifModified ) {
-			if ( jQuery.lastModified[ cacheURL ] ) {
-				jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] );
-			}
-			if ( jQuery.etag[ cacheURL ] ) {
-				jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] );
-			}
-		}
-
-		// Set the correct header, if data is being sent
-		if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) {
-			jqXHR.setRequestHeader( "Content-Type", s.contentType );
-		}
-
-		// Set the Accepts header for the server, depending on the dataType
-		jqXHR.setRequestHeader(
-			"Accept",
-			s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ?
-				s.accepts[ s.dataTypes[ 0 ] ] +
-					( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) :
-				s.accepts[ "*" ]
-		);
-
-		// Check for headers option
-		for ( i in s.headers ) {
-			jqXHR.setRequestHeader( i, s.headers[ i ] );
-		}
-
-		// Allow custom headers/mimetypes and early abort
-		if ( s.beforeSend &&
-			( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) {
-
-			// Abort if not done already and return
-			return jqXHR.abort();
-		}
-
-		// Aborting is no longer a cancellation
-		strAbort = "abort";
-
-		// Install callbacks on deferreds
-		completeDeferred.add( s.complete );
-		jqXHR.done( s.success );
-		jqXHR.fail( s.error );
-
-		// Get transport
-		transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR );
-
-		// If no transport, we auto-abort
-		if ( !transport ) {
-			done( -1, "No Transport" );
-		} else {
-			jqXHR.readyState = 1;
-
-			// Send global event
-			if ( fireGlobals ) {
-				globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] );
-			}
-
-			// If request was aborted inside ajaxSend, stop there
-			if ( completed ) {
-				return jqXHR;
-			}
-
-			// Timeout
-			if ( s.async && s.timeout > 0 ) {
-				timeoutTimer = window.setTimeout( function() {
-					jqXHR.abort( "timeout" );
-				}, s.timeout );
-			}
-
-			try {
-				completed = false;
-				transport.send( requestHeaders, done );
-			} catch ( e ) {
-
-				// Rethrow post-completion exceptions
-				if ( completed ) {
-					throw e;
-				}
-
-				// Propagate others as results
-				done( -1, e );
-			}
-		}
-
-		// Callback for when everything is done
-		function done( status, nativeStatusText, responses, headers ) {
-			var isSuccess, success, error, response, modified,
-				statusText = nativeStatusText;
-
-			// Ignore repeat invocations
-			if ( completed ) {
-				return;
-			}
-
-			completed = true;
-
-			// Clear timeout if it exists
-			if ( timeoutTimer ) {
-				window.clearTimeout( timeoutTimer );
-			}
-
-			// Dereference transport for early garbage collection
-			// (no matter how long the jqXHR object will be used)
-			transport = undefined;
-
-			// Cache response headers
-			responseHeadersString = headers || "";
-
-			// Set readyState
-			jqXHR.readyState = status > 0 ? 4 : 0;
-
-			// Determine if successful
-			isSuccess = status >= 200 && status < 300 || status === 304;
-
-			// Get response data
-			if ( responses ) {
-				response = ajaxHandleResponses( s, jqXHR, responses );
-			}
-
-			// Use a noop converter for missing script but not if jsonp
-			if ( !isSuccess &&
-				jQuery.inArray( "script", s.dataTypes ) > -1 &&
-				jQuery.inArray( "json", s.dataTypes ) < 0 ) {
-				s.converters[ "text script" ] = function() {};
-			}
-
-			// Convert no matter what (that way responseXXX fields are always set)
-			response = ajaxConvert( s, response, jqXHR, isSuccess );
-
-			// If successful, handle type chaining
-			if ( isSuccess ) {
-
-				// Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
-				if ( s.ifModified ) {
-					modified = jqXHR.getResponseHeader( "Last-Modified" );
-					if ( modified ) {
-						jQuery.lastModified[ cacheURL ] = modified;
-					}
-					modified = jqXHR.getResponseHeader( "etag" );
-					if ( modified ) {
-						jQuery.etag[ cacheURL ] = modified;
-					}
-				}
-
-				// if no content
-				if ( status === 204 || s.type === "HEAD" ) {
-					statusText = "nocontent";
-
-				// if not modified
-				} else if ( status === 304 ) {
-					statusText = "notmodified";
-
-				// If we have data, let's convert it
-				} else {
-					statusText = response.state;
-					success = response.data;
-					error = response.error;
-					isSuccess = !error;
-				}
-			} else {
-
-				// Extract error from statusText and normalize for non-aborts
-				error = statusText;
-				if ( status || !statusText ) {
-					statusText = "error";
-					if ( status < 0 ) {
-						status = 0;
-					}
-				}
-			}
-
-			// Set data for the fake xhr object
-			jqXHR.status = status;
-			jqXHR.statusText = ( nativeStatusText || statusText ) + "";
-
-			// Success/Error
-			if ( isSuccess ) {
-				deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] );
-			} else {
-				deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] );
-			}
-
-			// Status-dependent callbacks
-			jqXHR.statusCode( statusCode );
-			statusCode = undefined;
-
-			if ( fireGlobals ) {
-				globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError",
-					[ jqXHR, s, isSuccess ? success : error ] );
-			}
-
-			// Complete
-			completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] );
-
-			if ( fireGlobals ) {
-				globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] );
-
-				// Handle the global AJAX counter
-				if ( !( --jQuery.active ) ) {
-					jQuery.event.trigger( "ajaxStop" );
-				}
-			}
-		}
-
-		return jqXHR;
-	},
-
-	getJSON: function( url, data, callback ) {
-		return jQuery.get( url, data, callback, "json" );
-	},
-
-	getScript: function( url, callback ) {
-		return jQuery.get( url, undefined, callback, "script" );
-	}
-} );
-
-jQuery.each( [ "get", "post" ], function( _i, method ) {
-	jQuery[ method ] = function( url, data, callback, type ) {
-
-		// Shift arguments if data argument was omitted
-		if ( isFunction( data ) ) {
-			type = type || callback;
-			callback = data;
-			data = undefined;
-		}
-
-		// The url can be an options object (which then must have .url)
-		return jQuery.ajax( jQuery.extend( {
-			url: url,
-			type: method,
-			dataType: type,
-			data: data,
-			success: callback
-		}, jQuery.isPlainObject( url ) && url ) );
-	};
-} );
-
-jQuery.ajaxPrefilter( function( s ) {
-	var i;
-	for ( i in s.headers ) {
-		if ( i.toLowerCase() === "content-type" ) {
-			s.contentType = s.headers[ i ] || "";
-		}
-	}
-} );
-
-
-jQuery._evalUrl = function( url, options, doc ) {
-	return jQuery.ajax( {
-		url: url,
-
-		// Make this explicit, since user can override this through ajaxSetup (#11264)
-		type: "GET",
-		dataType: "script",
-		cache: true,
-		async: false,
-		global: false,
-
-		// Only evaluate the response if it is successful (gh-4126)
-		// dataFilter is not invoked for failure responses, so using it instead
-		// of the default converter is kludgy but it works.
-		converters: {
-			"text script": function() {}
-		},
-		dataFilter: function( response ) {
-			jQuery.globalEval( response, options, doc );
-		}
-	} );
-};
-
-
-jQuery.fn.extend( {
-	wrapAll: function( html ) {
-		var wrap;
-
-		if ( this[ 0 ] ) {
-			if ( isFunction( html ) ) {
-				html = html.call( this[ 0 ] );
-			}
-
-			// The elements to wrap the target around
-			wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true );
-
-			if ( this[ 0 ].parentNode ) {
-				wrap.insertBefore( this[ 0 ] );
-			}
-
-			wrap.map( function() {
-				var elem = this;
-
-				while ( elem.firstElementChild ) {
-					elem = elem.firstElementChild;
-				}
-
-				return elem;
-			} ).append( this );
-		}
-
-		return this;
-	},
-
-	wrapInner: function( html ) {
-		if ( isFunction( html ) ) {
-			return this.each( function( i ) {
-				jQuery( this ).wrapInner( html.call( this, i ) );
-			} );
-		}
-
-		return this.each( function() {
-			var self = jQuery( this ),
-				contents = self.contents();
-
-			if ( contents.length ) {
-				contents.wrapAll( html );
-
-			} else {
-				self.append( html );
-			}
-		} );
-	},
-
-	wrap: function( html ) {
-		var htmlIsFunction = isFunction( html );
-
-		return this.each( function( i ) {
-			jQuery( this ).wrapAll( htmlIsFunction ? html.call( this, i ) : html );
-		} );
-	},
-
-	unwrap: function( selector ) {
-		this.parent( selector ).not( "body" ).each( function() {
-			jQuery( this ).replaceWith( this.childNodes );
-		} );
-		return this;
-	}
-} );
-
-
-jQuery.expr.pseudos.hidden = function( elem ) {
-	return !jQuery.expr.pseudos.visible( elem );
-};
-jQuery.expr.pseudos.visible = function( elem ) {
-	return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length );
-};
-
-
-
-
-jQuery.ajaxSettings.xhr = function() {
-	try {
-		return new window.XMLHttpRequest();
-	} catch ( e ) {}
-};
-
-var xhrSuccessStatus = {
-
-		// File protocol always yields status code 0, assume 200
-		0: 200,
-
-		// Support: IE <=9 only
-		// #1450: sometimes IE returns 1223 when it should be 204
-		1223: 204
-	},
-	xhrSupported = jQuery.ajaxSettings.xhr();
-
-support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported );
-support.ajax = xhrSupported = !!xhrSupported;
-
-jQuery.ajaxTransport( function( options ) {
-	var callback, errorCallback;
-
-	// Cross domain only allowed if supported through XMLHttpRequest
-	if ( support.cors || xhrSupported && !options.crossDomain ) {
-		return {
-			send: function( headers, complete ) {
-				var i,
-					xhr = options.xhr();
-
-				xhr.open(
-					options.type,
-					options.url,
-					options.async,
-					options.username,
-					options.password
-				);
-
-				// Apply custom fields if provided
-				if ( options.xhrFields ) {
-					for ( i in options.xhrFields ) {
-						xhr[ i ] = options.xhrFields[ i ];
-					}
-				}
-
-				// Override mime type if needed
-				if ( options.mimeType && xhr.overrideMimeType ) {
-					xhr.overrideMimeType( options.mimeType );
-				}
-
-				// X-Requested-With header
-				// For cross-domain requests, seeing as conditions for a preflight are
-				// akin to a jigsaw puzzle, we simply never set it to be sure.
-				// (it can always be set on a per-request basis or even using ajaxSetup)
-				// For same-domain requests, won't change header if already provided.
-				if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) {
-					headers[ "X-Requested-With" ] = "XMLHttpRequest";
-				}
-
-				// Set headers
-				for ( i in headers ) {
-					xhr.setRequestHeader( i, headers[ i ] );
-				}
-
-				// Callback
-				callback = function( type ) {
-					return function() {
-						if ( callback ) {
-							callback = errorCallback = xhr.onload =
-								xhr.onerror = xhr.onabort = xhr.ontimeout =
-									xhr.onreadystatechange = null;
-
-							if ( type === "abort" ) {
-								xhr.abort();
-							} else if ( type === "error" ) {
-
-								// Support: IE <=9 only
-								// On a manual native abort, IE9 throws
-								// errors on any property access that is not readyState
-								if ( typeof xhr.status !== "number" ) {
-									complete( 0, "error" );
-								} else {
-									complete(
-
-										// File: protocol always yields status 0; see #8605, #14207
-										xhr.status,
-										xhr.statusText
-									);
-								}
-							} else {
-								complete(
-									xhrSuccessStatus[ xhr.status ] || xhr.status,
-									xhr.statusText,
-
-									// Support: IE <=9 only
-									// IE9 has no XHR2 but throws on binary (trac-11426)
-									// For XHR2 non-text, let the caller handle it (gh-2498)
-									( xhr.responseType || "text" ) !== "text"  ||
-									typeof xhr.responseText !== "string" ?
-										{ binary: xhr.response } :
-										{ text: xhr.responseText },
-									xhr.getAllResponseHeaders()
-								);
-							}
-						}
-					};
-				};
-
-				// Listen to events
-				xhr.onload = callback();
-				errorCallback = xhr.onerror = xhr.ontimeout = callback( "error" );
-
-				// Support: IE 9 only
-				// Use onreadystatechange to replace onabort
-				// to handle uncaught aborts
-				if ( xhr.onabort !== undefined ) {
-					xhr.onabort = errorCallback;
-				} else {
-					xhr.onreadystatechange = function() {
-
-						// Check readyState before timeout as it changes
-						if ( xhr.readyState === 4 ) {
-
-							// Allow onerror to be called first,
-							// but that will not handle a native abort
-							// Also, save errorCallback to a variable
-							// as xhr.onerror cannot be accessed
-							window.setTimeout( function() {
-								if ( callback ) {
-									errorCallback();
-								}
-							} );
-						}
-					};
-				}
-
-				// Create the abort callback
-				callback = callback( "abort" );
-
-				try {
-
-					// Do send the request (this may raise an exception)
-					xhr.send( options.hasContent && options.data || null );
-				} catch ( e ) {
-
-					// #14683: Only rethrow if this hasn't been notified as an error yet
-					if ( callback ) {
-						throw e;
-					}
-				}
-			},
-
-			abort: function() {
-				if ( callback ) {
-					callback();
-				}
-			}
-		};
-	}
-} );
-
-
-
-
-// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432)
-jQuery.ajaxPrefilter( function( s ) {
-	if ( s.crossDomain ) {
-		s.contents.script = false;
-	}
-} );
-
-// Install script dataType
-jQuery.ajaxSetup( {
-	accepts: {
-		script: "text/javascript, application/javascript, " +
-			"application/ecmascript, application/x-ecmascript"
-	},
-	contents: {
-		script: /\b(?:java|ecma)script\b/
-	},
-	converters: {
-		"text script": function( text ) {
-			jQuery.globalEval( text );
-			return text;
-		}
-	}
-} );
-
-// Handle cache's special case and crossDomain
-jQuery.ajaxPrefilter( "script", function( s ) {
-	if ( s.cache === undefined ) {
-		s.cache = false;
-	}
-	if ( s.crossDomain ) {
-		s.type = "GET";
-	}
-} );
-
-// Bind script tag hack transport
-jQuery.ajaxTransport( "script", function( s ) {
-
-	// This transport only deals with cross domain or forced-by-attrs requests
-	if ( s.crossDomain || s.scriptAttrs ) {
-		var script, callback;
-		return {
-			send: function( _, complete ) {
-				script = jQuery( "<script>" )
-					.attr( s.scriptAttrs || {} )
-					.prop( { charset: s.scriptCharset, src: s.url } )
-					.on( "load error", callback = function( evt ) {
-						script.remove();
-						callback = null;
-						if ( evt ) {
-							complete( evt.type === "error" ? 404 : 200, evt.type );
-						}
-					} );
-
-				// Use native DOM manipulation to avoid our domManip AJAX trickery
-				document.head.appendChild( script[ 0 ] );
-			},
-			abort: function() {
-				if ( callback ) {
-					callback();
-				}
-			}
-		};
-	}
-} );
-
-
-
-
-var oldCallbacks = [],
-	rjsonp = /(=)\?(?=&|$)|\?\?/;
-
-// Default jsonp settings
-jQuery.ajaxSetup( {
-	jsonp: "callback",
-	jsonpCallback: function() {
-		var callback = oldCallbacks.pop() || ( jQuery.expando + "_" + ( nonce.guid++ ) );
-		this[ callback ] = true;
-		return callback;
-	}
-} );
-
-// Detect, normalize options and install callbacks for jsonp requests
-jQuery.ajaxPrefilter( "json jsonp", function( s, originalSettings, jqXHR ) {
-
-	var callbackName, overwritten, responseContainer,
-		jsonProp = s.jsonp !== false && ( rjsonp.test( s.url ) ?
-			"url" :
-			typeof s.data === "string" &&
-				( s.contentType || "" )
-					.indexOf( "application/x-www-form-urlencoded" ) === 0 &&
-				rjsonp.test( s.data ) && "data"
-		);
-
-	// Handle iff the expected data type is "jsonp" or we have a parameter to set
-	if ( jsonProp || s.dataTypes[ 0 ] === "jsonp" ) {
-
-		// Get callback name, remembering preexisting value associated with it
-		callbackName = s.jsonpCallback = isFunction( s.jsonpCallback ) ?
-			s.jsonpCallback() :
-			s.jsonpCallback;
-
-		// Insert callback into url or form data
-		if ( jsonProp ) {
-			s[ jsonProp ] = s[ jsonProp ].replace( rjsonp, "$1" + callbackName );
-		} else if ( s.jsonp !== false ) {
-			s.url += ( rquery.test( s.url ) ? "&" : "?" ) + s.jsonp + "=" + callbackName;
-		}
-
-		// Use data converter to retrieve json after script execution
-		s.converters[ "script json" ] = function() {
-			if ( !responseContainer ) {
-				jQuery.error( callbackName + " was not called" );
-			}
-			return responseContainer[ 0 ];
-		};
-
-		// Force json dataType
-		s.dataTypes[ 0 ] = "json";
-
-		// Install callback
-		overwritten = window[ callbackName ];
-		window[ callbackName ] = function() {
-			responseContainer = arguments;
-		};
-
-		// Clean-up function (fires after converters)
-		jqXHR.always( function() {
-
-			// If previous value didn't exist - remove it
-			if ( overwritten === undefined ) {
-				jQuery( window ).removeProp( callbackName );
-
-			// Otherwise restore preexisting value
-			} else {
-				window[ callbackName ] = overwritten;
-			}
-
-			// Save back as free
-			if ( s[ callbackName ] ) {
-
-				// Make sure that re-using the options doesn't screw things around
-				s.jsonpCallback = originalSettings.jsonpCallback;
-
-				// Save the callback name for future use
-				oldCallbacks.push( callbackName );
-			}
-
-			// Call if it was a function and we have a response
-			if ( responseContainer && isFunction( overwritten ) ) {
-				overwritten( responseContainer[ 0 ] );
-			}
-
-			responseContainer = overwritten = undefined;
-		} );
-
-		// Delegate to script
-		return "script";
-	}
-} );
-
-
-
-
-// Support: Safari 8 only
-// In Safari 8 documents created via document.implementation.createHTMLDocument
-// collapse sibling forms: the second one becomes a child of the first one.
-// Because of that, this security measure has to be disabled in Safari 8.
-// https://bugs.webkit.org/show_bug.cgi?id=137337
-support.createHTMLDocument = ( function() {
-	var body = document.implementation.createHTMLDocument( "" ).body;
-	body.innerHTML = "<form></form><form></form>";
-	return body.childNodes.length === 2;
-} )();
-
-
-// Argument "data" should be string of html
-// context (optional): If specified, the fragment will be created in this context,
-// defaults to document
-// keepScripts (optional): If true, will include scripts passed in the html string
-jQuery.parseHTML = function( data, context, keepScripts ) {
-	if ( typeof data !== "string" ) {
-		return [];
-	}
-	if ( typeof context === "boolean" ) {
-		keepScripts = context;
-		context = false;
-	}
-
-	var base, parsed, scripts;
-
-	if ( !context ) {
-
-		// Stop scripts or inline event handlers from being executed immediately
-		// by using document.implementation
-		if ( support.createHTMLDocument ) {
-			context = document.implementation.createHTMLDocument( "" );
-
-			// Set the base href for the created document
-			// so any parsed elements with URLs
-			// are based on the document's URL (gh-2965)
-			base = context.createElement( "base" );
-			base.href = document.location.href;
-			context.head.appendChild( base );
-		} else {
-			context = document;
-		}
-	}
-
-	parsed = rsingleTag.exec( data );
-	scripts = !keepScripts && [];
-
-	// Single tag
-	if ( parsed ) {
-		return [ context.createElement( parsed[ 1 ] ) ];
-	}
-
-	parsed = buildFragment( [ data ], context, scripts );
-
-	if ( scripts && scripts.length ) {
-		jQuery( scripts ).remove();
-	}
-
-	return jQuery.merge( [], parsed.childNodes );
-};
-
-
-/**
- * Load a url into a page
- */
-jQuery.fn.load = function( url, params, callback ) {
-	var selector, type, response,
-		self = this,
-		off = url.indexOf( " " );
-
-	if ( off > -1 ) {
-		selector = stripAndCollapse( url.slice( off ) );
-		url = url.slice( 0, off );
-	}
-
-	// If it's a function
-	if ( isFunction( params ) ) {
-
-		// We assume that it's the callback
-		callback = params;
-		params = undefined;
-
-	// Otherwise, build a param string
-	} else if ( params && typeof params === "object" ) {
-		type = "POST";
-	}
-
-	// If we have elements to modify, make the request
-	if ( self.length > 0 ) {
-		jQuery.ajax( {
-			url: url,
-
-			// If "type" variable is undefined, then "GET" method will be used.
-			// Make value of this field explicit since
-			// user can override it through ajaxSetup method
-			type: type || "GET",
-			dataType: "html",
-			data: params
-		} ).done( function( responseText ) {
-
-			// Save response for use in complete callback
-			response = arguments;
-
-			self.html( selector ?
-
-				// If a selector was specified, locate the right elements in a dummy div
-				// Exclude scripts to avoid IE 'Permission Denied' errors
-				jQuery( "<div>" ).append( jQuery.parseHTML( responseText ) ).find( selector ) :
-
-				// Otherwise use the full result
-				responseText );
-
-		// If the request succeeds, this function gets "data", "status", "jqXHR"
-		// but they are ignored because response was set above.
-		// If it fails, this function gets "jqXHR", "status", "error"
-		} ).always( callback && function( jqXHR, status ) {
-			self.each( function() {
-				callback.apply( this, response || [ jqXHR.responseText, status, jqXHR ] );
-			} );
-		} );
-	}
-
-	return this;
-};
-
-
-
-
-jQuery.expr.pseudos.animated = function( elem ) {
-	return jQuery.grep( jQuery.timers, function( fn ) {
-		return elem === fn.elem;
-	} ).length;
-};
-
-
-
-
-jQuery.offset = {
-	setOffset: function( elem, options, i ) {
-		var curPosition, curLeft, curCSSTop, curTop, curOffset, curCSSLeft, calculatePosition,
-			position = jQuery.css( elem, "position" ),
-			curElem = jQuery( elem ),
-			props = {};
-
-		// Set position first, in-case top/left are set even on static elem
-		if ( position === "static" ) {
-			elem.style.position = "relative";
-		}
-
-		curOffset = curElem.offset();
-		curCSSTop = jQuery.css( elem, "top" );
-		curCSSLeft = jQuery.css( elem, "left" );
-		calculatePosition = ( position === "absolute" || position === "fixed" ) &&
-			( curCSSTop + curCSSLeft ).indexOf( "auto" ) > -1;
-
-		// Need to be able to calculate position if either
-		// top or left is auto and position is either absolute or fixed
-		if ( calculatePosition ) {
-			curPosition = curElem.position();
-			curTop = curPosition.top;
-			curLeft = curPosition.left;
-
-		} else {
-			curTop = parseFloat( curCSSTop ) || 0;
-			curLeft = parseFloat( curCSSLeft ) || 0;
-		}
-
-		if ( isFunction( options ) ) {
-
-			// Use jQuery.extend here to allow modification of coordinates argument (gh-1848)
-			options = options.call( elem, i, jQuery.extend( {}, curOffset ) );
-		}
-
-		if ( options.top != null ) {
-			props.top = ( options.top - curOffset.top ) + curTop;
-		}
-		if ( options.left != null ) {
-			props.left = ( options.left - curOffset.left ) + curLeft;
-		}
-
-		if ( "using" in options ) {
-			options.using.call( elem, props );
-
-		} else {
-			curElem.css( props );
-		}
-	}
-};
-
-jQuery.fn.extend( {
-
-	// offset() relates an element's border box to the document origin
-	offset: function( options ) {
-
-		// Preserve chaining for setter
-		if ( arguments.length ) {
-			return options === undefined ?
-				this :
-				this.each( function( i ) {
-					jQuery.offset.setOffset( this, options, i );
-				} );
-		}
-
-		var rect, win,
-			elem = this[ 0 ];
-
-		if ( !elem ) {
-			return;
-		}
-
-		// Return zeros for disconnected and hidden (display: none) elements (gh-2310)
-		// Support: IE <=11 only
-		// Running getBoundingClientRect on a
-		// disconnected node in IE throws an error
-		if ( !elem.getClientRects().length ) {
-			return { top: 0, left: 0 };
-		}
-
-		// Get document-relative position by adding viewport scroll to viewport-relative gBCR
-		rect = elem.getBoundingClientRect();
-		win = elem.ownerDocument.defaultView;
-		return {
-			top: rect.top + win.pageYOffset,
-			left: rect.left + win.pageXOffset
-		};
-	},
-
-	// position() relates an element's margin box to its offset parent's padding box
-	// This corresponds to the behavior of CSS absolute positioning
-	position: function() {
-		if ( !this[ 0 ] ) {
-			return;
-		}
-
-		var offsetParent, offset, doc,
-			elem = this[ 0 ],
-			parentOffset = { top: 0, left: 0 };
-
-		// position:fixed elements are offset from the viewport, which itself always has zero offset
-		if ( jQuery.css( elem, "position" ) === "fixed" ) {
-
-			// Assume position:fixed implies availability of getBoundingClientRect
-			offset = elem.getBoundingClientRect();
-
-		} else {
-			offset = this.offset();
-
-			// Account for the *real* offset parent, which can be the document or its root element
-			// when a statically positioned element is identified
-			doc = elem.ownerDocument;
-			offsetParent = elem.offsetParent || doc.documentElement;
-			while ( offsetParent &&
-				( offsetParent === doc.body || offsetParent === doc.documentElement ) &&
-				jQuery.css( offsetParent, "position" ) === "static" ) {
-
-				offsetParent = offsetParent.parentNode;
-			}
-			if ( offsetParent && offsetParent !== elem && offsetParent.nodeType === 1 ) {
-
-				// Incorporate borders into its offset, since they are outside its content origin
-				parentOffset = jQuery( offsetParent ).offset();
-				parentOffset.top += jQuery.css( offsetParent, "borderTopWidth", true );
-				parentOffset.left += jQuery.css( offsetParent, "borderLeftWidth", true );
-			}
-		}
-
-		// Subtract parent offsets and element margins
-		return {
-			top: offset.top - parentOffset.top - jQuery.css( elem, "marginTop", true ),
-			left: offset.left - parentOffset.left - jQuery.css( elem, "marginLeft", true )
-		};
-	},
-
-	// This method will return documentElement in the following cases:
-	// 1) For the element inside the iframe without offsetParent, this method will return
-	//    documentElement of the parent window
-	// 2) For the hidden or detached element
-	// 3) For body or html element, i.e. in case of the html node - it will return itself
-	//
-	// but those exceptions were never presented as a real life use-cases
-	// and might be considered as more preferable results.
-	//
-	// This logic, however, is not guaranteed and can change at any point in the future
-	offsetParent: function() {
-		return this.map( function() {
-			var offsetParent = this.offsetParent;
-
-			while ( offsetParent && jQuery.css( offsetParent, "position" ) === "static" ) {
-				offsetParent = offsetParent.offsetParent;
-			}
-
-			return offsetParent || documentElement;
-		} );
-	}
-} );
-
-// Create scrollLeft and scrollTop methods
-jQuery.each( { scrollLeft: "pageXOffset", scrollTop: "pageYOffset" }, function( method, prop ) {
-	var top = "pageYOffset" === prop;
-
-	jQuery.fn[ method ] = function( val ) {
-		return access( this, function( elem, method, val ) {
-
-			// Coalesce documents and windows
-			var win;
-			if ( isWindow( elem ) ) {
-				win = elem;
-			} else if ( elem.nodeType === 9 ) {
-				win = elem.defaultView;
-			}
-
-			if ( val === undefined ) {
-				return win ? win[ prop ] : elem[ method ];
-			}
-
-			if ( win ) {
-				win.scrollTo(
-					!top ? val : win.pageXOffset,
-					top ? val : win.pageYOffset
-				);
-
-			} else {
-				elem[ method ] = val;
-			}
-		}, method, val, arguments.length );
-	};
-} );
-
-// Support: Safari <=7 - 9.1, Chrome <=37 - 49
-// Add the top/left cssHooks using jQuery.fn.position
-// Webkit bug: https://bugs.webkit.org/show_bug.cgi?id=29084
-// Blink bug: https://bugs.chromium.org/p/chromium/issues/detail?id=589347
-// getComputedStyle returns percent when specified for top/left/bottom/right;
-// rather than make the css module depend on the offset module, just check for it here
-jQuery.each( [ "top", "left" ], function( _i, prop ) {
-	jQuery.cssHooks[ prop ] = addGetHookIf( support.pixelPosition,
-		function( elem, computed ) {
-			if ( computed ) {
-				computed = curCSS( elem, prop );
-
-				// If curCSS returns percentage, fallback to offset
-				return rnumnonpx.test( computed ) ?
-					jQuery( elem ).position()[ prop ] + "px" :
-					computed;
-			}
-		}
-	);
-} );
-
-
-// Create innerHeight, innerWidth, height, width, outerHeight and outerWidth methods
-jQuery.each( { Height: "height", Width: "width" }, function( name, type ) {
-	jQuery.each( {
-		padding: "inner" + name,
-		content: type,
-		"": "outer" + name
-	}, function( defaultExtra, funcName ) {
-
-		// Margin is only for outerHeight, outerWidth
-		jQuery.fn[ funcName ] = function( margin, value ) {
-			var chainable = arguments.length && ( defaultExtra || typeof margin !== "boolean" ),
-				extra = defaultExtra || ( margin === true || value === true ? "margin" : "border" );
-
-			return access( this, function( elem, type, value ) {
-				var doc;
-
-				if ( isWindow( elem ) ) {
-
-					// $( window ).outerWidth/Height return w/h including scrollbars (gh-1729)
-					return funcName.indexOf( "outer" ) === 0 ?
-						elem[ "inner" + name ] :
-						elem.document.documentElement[ "client" + name ];
-				}
-
-				// Get document width or height
-				if ( elem.nodeType === 9 ) {
-					doc = elem.documentElement;
-
-					// Either scroll[Width/Height] or offset[Width/Height] or client[Width/Height],
-					// whichever is greatest
-					return Math.max(
-						elem.body[ "scroll" + name ], doc[ "scroll" + name ],
-						elem.body[ "offset" + name ], doc[ "offset" + name ],
-						doc[ "client" + name ]
-					);
-				}
-
-				return value === undefined ?
-
-					// Get width or height on the element, requesting but not forcing parseFloat
-					jQuery.css( elem, type, extra ) :
-
-					// Set width or height on the element
-					jQuery.style( elem, type, value, extra );
-			}, type, chainable ? margin : undefined, chainable );
-		};
-	} );
-} );
-
-
-jQuery.each( [
-	"ajaxStart",
-	"ajaxStop",
-	"ajaxComplete",
-	"ajaxError",
-	"ajaxSuccess",
-	"ajaxSend"
-], function( _i, type ) {
-	jQuery.fn[ type ] = function( fn ) {
-		return this.on( type, fn );
-	};
-} );
-
-
-
-
-jQuery.fn.extend( {
-
-	bind: function( types, data, fn ) {
-		return this.on( types, null, data, fn );
-	},
-	unbind: function( types, fn ) {
-		return this.off( types, null, fn );
-	},
-
-	delegate: function( selector, types, data, fn ) {
-		return this.on( types, selector, data, fn );
-	},
-	undelegate: function( selector, types, fn ) {
-
-		// ( namespace ) or ( selector, types [, fn] )
-		return arguments.length === 1 ?
-			this.off( selector, "**" ) :
-			this.off( types, selector || "**", fn );
-	},
-
-	hover: function( fnOver, fnOut ) {
-		return this.mouseenter( fnOver ).mouseleave( fnOut || fnOver );
-	}
-} );
-
-jQuery.each(
-	( "blur focus focusin focusout resize scroll click dblclick " +
-	"mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " +
-	"change select submit keydown keypress keyup contextmenu" ).split( " " ),
-	function( _i, name ) {
-
-		// Handle event binding
-		jQuery.fn[ name ] = function( data, fn ) {
-			return arguments.length > 0 ?
-				this.on( name, null, data, fn ) :
-				this.trigger( name );
-		};
-	}
-);
-
-
-
-
-// Support: Android <=4.0 only
-// Make sure we trim BOM and NBSP
-var rtrim = /^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;
-
-// Bind a function to a context, optionally partially applying any
-// arguments.
-// jQuery.proxy is deprecated to promote standards (specifically Function#bind)
-// However, it is not slated for removal any time soon
-jQuery.proxy = function( fn, context ) {
-	var tmp, args, proxy;
-
-	if ( typeof context === "string" ) {
-		tmp = fn[ context ];
-		context = fn;
-		fn = tmp;
-	}
-
-	// Quick check to determine if target is callable, in the spec
-	// this throws a TypeError, but we will just return undefined.
-	if ( !isFunction( fn ) ) {
-		return undefined;
-	}
-
-	// Simulated bind
-	args = slice.call( arguments, 2 );
-	proxy = function() {
-		return fn.apply( context || this, args.concat( slice.call( arguments ) ) );
-	};
-
-	// Set the guid of unique handler to the same of original handler, so it can be removed
-	proxy.guid = fn.guid = fn.guid || jQuery.guid++;
-
-	return proxy;
-};
-
-jQuery.holdReady = function( hold ) {
-	if ( hold ) {
-		jQuery.readyWait++;
-	} else {
-		jQuery.ready( true );
-	}
-};
-jQuery.isArray = Array.isArray;
-jQuery.parseJSON = JSON.parse;
-jQuery.nodeName = nodeName;
-jQuery.isFunction = isFunction;
-jQuery.isWindow = isWindow;
-jQuery.camelCase = camelCase;
-jQuery.type = toType;
-
-jQuery.now = Date.now;
-
-jQuery.isNumeric = function( obj ) {
-
-	// As of jQuery 3.0, isNumeric is limited to
-	// strings and numbers (primitives or objects)
-	// that can be coerced to finite numbers (gh-2662)
-	var type = jQuery.type( obj );
-	return ( type === "number" || type === "string" ) &&
-
-		// parseFloat NaNs numeric-cast false positives ("")
-		// ...but misinterprets leading-number strings, particularly hex literals ("0x...")
-		// subtraction forces infinities to NaN
-		!isNaN( obj - parseFloat( obj ) );
-};
-
-jQuery.trim = function( text ) {
-	return text == null ?
-		"" :
-		( text + "" ).replace( rtrim, "" );
-};
-
-
-
-// Register as a named AMD module, since jQuery can be concatenated with other
-// files that may use define, but not via a proper concatenation script that
-// understands anonymous AMD modules. A named AMD is safest and most robust
-// way to register. Lowercase jquery is used because AMD module names are
-// derived from file names, and jQuery is normally delivered in a lowercase
-// file name. Do this after creating the global so that if an AMD module wants
-// to call noConflict to hide this version of jQuery, it will work.
-
-// Note that for maximum portability, libraries that are not jQuery should
-// declare themselves as anonymous modules, and avoid setting a global if an
-// AMD loader is present. jQuery is a special case. For more information, see
-// https://github.com/jrburke/requirejs/wiki/Updating-existing-libraries#wiki-anon
-
-if ( typeof define === "function" && define.amd ) {
-	define( "jquery", [], function() {
-		return jQuery;
-	} );
-}
-
-
-
-
-var
-
-	// Map over jQuery in case of overwrite
-	_jQuery = window.jQuery,
-
-	// Map over the $ in case of overwrite
-	_$ = window.$;
-
-jQuery.noConflict = function( deep ) {
-	if ( window.$ === jQuery ) {
-		window.$ = _$;
-	}
-
-	if ( deep && window.jQuery === jQuery ) {
-		window.jQuery = _jQuery;
-	}
-
-	return jQuery;
-};
-
-// Expose jQuery and $ identifiers, even in AMD
-// (#7102#comment:10, https://github.com/jquery/jquery/pull/557)
-// and CommonJS for browser emulators (#13566)
-if ( typeof noGlobal === "undefined" ) {
-	window.jQuery = window.$ = jQuery;
-}
-
-
-
-
-return jQuery;
-} );
diff --git a/latest-tag/coverage-report/lib/jquery-3.6.0/jquery-3.6.0.min.js b/latest-tag/coverage-report/lib/jquery-3.6.0/jquery-3.6.0.min.js
deleted file mode 100644
index c4c6022f..00000000
--- a/latest-tag/coverage-report/lib/jquery-3.6.0/jquery-3.6.0.min.js
+++ /dev/null
@@ -1,2 +0,0 @@
-/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */
-!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery requires a window with a document");return t(e)}:t(e)}("undefined"!=typeof window?window:this,function(C,e){"use strict";var t=[],r=Object.getPrototypeOf,s=t.slice,g=t.flat?function(e){return t.flat.call(e)}:function(e){return t.concat.apply([],e)},u=t.push,i=t.indexOf,n={},o=n.toString,v=n.hasOwnProperty,a=v.toString,l=a.call(Object),y={},m=function(e){return"function"==typeof e&&"number"!=typeof e.nodeType&&"function"!=typeof e.item},x=function(e){return null!=e&&e===e.window},E=C.document,c={type:!0,src:!0,nonce:!0,noModule:!0};function b(e,t,n){var r,i,o=(n=n||E).createElement("script");if(o.text=e,t)for(r in c)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function w(e){return null==e?e+"":"object"==typeof e||"function"==typeof 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\ No newline at end of file
diff --git a/latest-tag/deps/bootstrap-5.3.1/bootstrap.min.css b/latest-tag/deps/bootstrap-5.3.1/bootstrap.min.css
index 0fa31676..5d96aa0d 100644
--- a/latest-tag/deps/bootstrap-5.3.1/bootstrap.min.css
+++ b/latest-tag/deps/bootstrap-5.3.1/bootstrap.min.css
@@ -1,5 +1,5 @@
-@import url("font.css");:root{--bslib-bootstrap-version: 5;--bslib-preset-name: shiny;--bslib-preset-type: builtin}/*!
+:root{--bslib-bootstrap-version: 5;--bslib-preset-name: ;--bslib-preset-type: }/*!
    * Bootstrap  v5.3.1 (https://getbootstrap.com/)
    * Copyright 2011-2023 The Bootstrap Authors
    * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
-   */:root,[data-bs-theme="light"]{--bs-blue: #007bc2;--bs-indigo: #4b00c1;--bs-purple: #74149c;--bs-pink: #bf007f;--bs-red: #c10000;--bs-orange: #f45100;--bs-yellow: #f9b928;--bs-green: #00891a;--bs-teal: #00bf7f;--bs-cyan: #03c7e8;--bs-black: #000;--bs-white: #fff;--bs-gray: #707782;--bs-gray-dark: #343A46;--bs-gray-100: #f8f8f8;--bs-gray-200: #e9ecef;--bs-gray-300: #dee2e6;--bs-gray-400: #cdd4da;--bs-gray-500: #8D959E;--bs-gray-600: #707782;--bs-gray-700: #48505F;--bs-gray-800: #343A46;--bs-gray-900: #1D1F21;--bs-default: #dee2e6;--bs-primary: #007bc2;--bs-secondary: #404040;--bs-success: #00891a;--bs-info: #03c7e8;--bs-warning: #f9b928;--bs-danger: #c10000;--bs-light: #f8f8f8;--bs-dark: #202020;--bs-default-rgb: 222,226,230;--bs-primary-rgb: 0,123,194;--bs-secondary-rgb: 64,64,64;--bs-success-rgb: 0,137,26;--bs-info-rgb: 3,199,232;--bs-warning-rgb: 249,185,40;--bs-danger-rgb: 193,0,0;--bs-light-rgb: 248,248,248;--bs-dark-rgb: 32,32,32;--bs-primary-text-emphasis: 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auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 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-1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background:none;border:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.nav-link{transition:none}}.nav-link:hover,.nav-link:focus{color:var(--bs-nav-link-hover-color)}.nav-link:focus-visible{outline:0;box-shadow:0 0 0 .25rem rgba(0,123,194,0.25)}.nav-link.disabled,.nav-link:disabled{color:var(--bs-nav-link-disabled-color);pointer-events:none;cursor:default}.nav-tabs{--bs-nav-tabs-border-width: var(--bs-border-width);--bs-nav-tabs-border-color: var(--bs-border-color);--bs-nav-tabs-border-radius: var(--bs-border-radius);--bs-nav-tabs-link-hover-border-color: var(--bs-secondary-bg) var(--bs-secondary-bg) var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1 * var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid transparent;border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1 * 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.show>.nav-link{font-weight:700;color:var(--bs-nav-underline-link-active-color);border-bottom-color:currentcolor}.nav-fill>.nav-link,.nav-fill .nav-item{flex:1 1 auto;-webkit-flex:1 1 auto;text-align:center}.nav-justified>.nav-link,.nav-justified .nav-item{flex-basis:0;-webkit-flex-basis:0;flex-grow:1;-webkit-flex-grow:1;text-align:center}.nav-fill .nav-item .nav-link,.nav-justified .nav-item .nav-link{width:100%}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.navbar{--bs-navbar-padding-x: .66rem;--bs-navbar-padding-y: .5rem;--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.65);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.8);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.3);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-padding-y: .3125rem;--bs-navbar-brand-margin-end: 1rem;--bs-navbar-brand-font-size: 1.25rem;--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-nav-link-padding-x: .5rem;--bs-navbar-toggler-padding-y: .25rem;--bs-navbar-toggler-padding-x: .75rem;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2829,31,33,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);--bs-navbar-toggler-border-radius: var(--bs-border-radius);--bs-navbar-toggler-focus-width: .25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-navbar-padding-y) 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.navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-md .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-md .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-md .navbar-nav-scroll{overflow:visible}.navbar-expand-md .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-md .navbar-toggler{display:none}.navbar-expand-md .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-md .offcanvas .offcanvas-header{display:none}.navbar-expand-md .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas 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.offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex 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ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out,border-radius 0.15s ease;--bs-accordion-border-color: var(--bs-border-color);--bs-accordion-border-width: var(--bs-border-width);--bs-accordion-border-radius: var(--bs-border-radius);--bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: var(--bs-body-color);--bs-accordion-btn-bg: var(--bs-accordion-bg);--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%231D1F21'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: 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.accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%2366b0da'%3e%3cpath 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var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: 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reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #007bc2;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: 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";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid 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var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media (min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 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var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' 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var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: .5rem;--bs-modal-color: ;--bs-modal-bg: var(--bs-body-bg);--bs-modal-border-color: var(--bs-border-color-translucent);--bs-modal-border-width: var(--bs-border-width);--bs-modal-border-radius: var(--bs-border-radius-lg);--bs-modal-box-shadow: 0px 1px 2px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 2px 3px RGBA(var(--bslib-box-shadow-color-rgb), 0.1),0px 3px 8px RGBA(var(--bslib-box-shadow-color-rgb), 0.1);--bs-modal-inner-border-radius: calc(var(--bs-border-radius-lg) - (var(--bs-border-width)));--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1.5rem;--bs-modal-header-border-color: var(--bs-border-color);--bs-modal-header-border-width: none;--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: 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transparent;--bs-gradient: none}.btn-outline-light{--bs-btn-color: #f8f9fa;--bs-btn-border-color: #f8f9fa;--bs-btn-hover-color: #000;--bs-btn-hover-bg: #f8f9fa;--bs-btn-hover-border-color: #f8f9fa;--bs-btn-focus-shadow-rgb: 248,249,250;--bs-btn-active-color: #000;--bs-btn-active-bg: #f8f9fa;--bs-btn-active-border-color: #f8f9fa;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #f8f9fa;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: #f8f9fa;--bs-btn-bg: transparent;--bs-gradient: none}.btn-outline-dark{--bs-btn-color: #212529;--bs-btn-border-color: #212529;--bs-btn-hover-color: #fff;--bs-btn-hover-bg: #212529;--bs-btn-hover-border-color: #212529;--bs-btn-focus-shadow-rgb: 33,37,41;--bs-btn-active-color: #fff;--bs-btn-active-bg: #212529;--bs-btn-active-border-color: #212529;--bs-btn-active-shadow: inset 0 3px 5px rgba(0,0,0,0.125);--bs-btn-disabled-color: #212529;--bs-btn-disabled-bg: transparent;--bs-btn-disabled-border-color: 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10rem;--bs-dropdown-padding-x: 0;--bs-dropdown-padding-y: .5rem;--bs-dropdown-spacer: .125rem;--bs-dropdown-font-size:1rem;--bs-dropdown-color: var(--bs-body-color);--bs-dropdown-bg: var(--bs-body-bg);--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-border-radius: var(--bs-border-radius);--bs-dropdown-border-width: var(--bs-border-width);--bs-dropdown-inner-border-radius: calc(var(--bs-border-radius) - var(--bs-border-width));--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-divider-margin-y: .5rem;--bs-dropdown-box-shadow: 0 0.5rem 1rem rgba(0,0,0,0.15);--bs-dropdown-link-color: var(--bs-body-color);--bs-dropdown-link-hover-color: var(--bs-body-color);--bs-dropdown-link-hover-bg: var(--bs-tertiary-bg);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #0d6efd;--bs-dropdown-link-disabled-color: var(--bs-tertiary-color);--bs-dropdown-item-padding-x: 1rem;--bs-dropdown-item-padding-y: .25rem;--bs-dropdown-header-color: #6c757d;--bs-dropdown-header-padding-x: 1rem;--bs-dropdown-header-padding-y: .5rem;position:absolute;z-index:var(--bs-dropdown-zindex);display:none;min-width:var(--bs-dropdown-min-width);padding:var(--bs-dropdown-padding-y) var(--bs-dropdown-padding-x);margin:0;font-size:var(--bs-dropdown-font-size);color:var(--bs-dropdown-color);text-align:left;list-style:none;background-color:var(--bs-dropdown-bg);background-clip:padding-box;border:var(--bs-dropdown-border-width) solid var(--bs-dropdown-border-color);border-radius:var(--bs-dropdown-border-radius)}.dropdown-menu[data-bs-popper]{top:100%;left:0;margin-top:var(--bs-dropdown-spacer)}.dropdown-menu-start{--bs-position: start}.dropdown-menu-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-end{--bs-position: end}.dropdown-menu-end[data-bs-popper]{right:0;left:auto}@media (min-width: 576px){.dropdown-menu-sm-start{--bs-position: start}.dropdown-menu-sm-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-sm-end{--bs-position: end}.dropdown-menu-sm-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 768px){.dropdown-menu-md-start{--bs-position: start}.dropdown-menu-md-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-md-end{--bs-position: end}.dropdown-menu-md-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 992px){.dropdown-menu-lg-start{--bs-position: start}.dropdown-menu-lg-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-lg-end{--bs-position: end}.dropdown-menu-lg-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1200px){.dropdown-menu-xl-start{--bs-position: start}.dropdown-menu-xl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xl-end{--bs-position: end}.dropdown-menu-xl-end[data-bs-popper]{right:0;left:auto}}@media (min-width: 1400px){.dropdown-menu-xxl-start{--bs-position: start}.dropdown-menu-xxl-start[data-bs-popper]{right:auto;left:0}.dropdown-menu-xxl-end{--bs-position: end}.dropdown-menu-xxl-end[data-bs-popper]{right:0;left:auto}}.dropup .dropdown-menu[data-bs-popper]{top:auto;bottom:100%;margin-top:0;margin-bottom:var(--bs-dropdown-spacer)}.dropup .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:0;border-right:.3em solid transparent;border-bottom:.3em solid;border-left:.3em solid transparent}.dropup .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-menu[data-bs-popper]{top:0;right:auto;left:100%;margin-top:0;margin-left:var(--bs-dropdown-spacer)}.dropend .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:0;border-bottom:.3em solid transparent;border-left:.3em solid}.dropend .dropdown-toggle:empty::after{margin-left:0}.dropend .dropdown-toggle::after{vertical-align:0}.dropstart .dropdown-menu[data-bs-popper]{top:0;right:100%;left:auto;margin-top:0;margin-right:var(--bs-dropdown-spacer)}.dropstart .dropdown-toggle::after{display:inline-block;margin-left:.255em;vertical-align:.255em;content:""}.dropstart .dropdown-toggle::after{display:none}.dropstart .dropdown-toggle::before{display:inline-block;margin-right:.255em;vertical-align:.255em;content:"";border-top:.3em solid transparent;border-right:.3em solid;border-bottom:.3em solid transparent}.dropstart .dropdown-toggle:empty::after{margin-left:0}.dropstart .dropdown-toggle::before{vertical-align:0}.dropdown-divider{height:0;margin:var(--bs-dropdown-divider-margin-y) 0;overflow:hidden;border-top:1px solid var(--bs-dropdown-divider-bg);opacity:1}.dropdown-item{display:block;width:100%;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);clear:both;font-weight:400;color:var(--bs-dropdown-link-color);text-align:inherit;text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;white-space:nowrap;background-color:transparent;border:0;border-radius:var(--bs-dropdown-item-border-radius, 0)}.dropdown-item:hover,.dropdown-item:focus{color:var(--bs-dropdown-link-hover-color);background-color:var(--bs-dropdown-link-hover-bg)}.dropdown-item.active,.dropdown-item:active{color:var(--bs-dropdown-link-active-color);text-decoration:none;background-color:var(--bs-dropdown-link-active-bg)}.dropdown-item.disabled,.dropdown-item:disabled{color:var(--bs-dropdown-link-disabled-color);pointer-events:none;background-color:transparent}.dropdown-menu.show{display:block}.dropdown-header{display:block;padding:var(--bs-dropdown-header-padding-y) var(--bs-dropdown-header-padding-x);margin-bottom:0;font-size:.875rem;color:var(--bs-dropdown-header-color);white-space:nowrap}.dropdown-item-text{display:block;padding:var(--bs-dropdown-item-padding-y) var(--bs-dropdown-item-padding-x);color:var(--bs-dropdown-link-color)}.dropdown-menu-dark{--bs-dropdown-color: #dee2e6;--bs-dropdown-bg: #343a40;--bs-dropdown-border-color: var(--bs-border-color-translucent);--bs-dropdown-box-shadow: ;--bs-dropdown-link-color: #dee2e6;--bs-dropdown-link-hover-color: #fff;--bs-dropdown-divider-bg: var(--bs-border-color-translucent);--bs-dropdown-link-hover-bg: rgba(255,255,255,0.15);--bs-dropdown-link-active-color: #fff;--bs-dropdown-link-active-bg: #0d6efd;--bs-dropdown-link-disabled-color: #adb5bd;--bs-dropdown-header-color: #adb5bd}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto;-webkit-flex:1 1 auto}.btn-group>.btn-check:checked+.btn,.btn-group>.btn-check:focus+.btn,.btn-group>.btn:hover,.btn-group>.btn:focus,.btn-group>.btn:active,.btn-group>.btn.active,.btn-group-vertical>.btn-check:checked+.btn,.btn-group-vertical>.btn-check:focus+.btn,.btn-group-vertical>.btn:hover,.btn-group-vertical>.btn:focus,.btn-group-vertical>.btn:active,.btn-group-vertical>.btn.active{z-index:1}.btn-toolbar{display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;justify-content:flex-start;-webkit-justify-content:flex-start}.btn-toolbar .input-group{width:auto}.btn-group{border-radius:var(--bs-border-radius)}.btn-group>:not(.btn-check:first-child)+.btn,.btn-group>.btn-group:not(:first-child){margin-left:calc(var(--bs-border-width) * -1)}.btn-group>.btn:not(:last-child):not(.dropdown-toggle),.btn-group>.btn.dropdown-toggle-split:first-child,.btn-group>.btn-group:not(:last-child)>.btn{border-top-right-radius:0;border-bottom-right-radius:0}.btn-group>.btn:nth-child(n + 3),.btn-group>:not(.btn-check)+.btn,.btn-group>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-bottom-left-radius:0}.dropdown-toggle-split{padding-right:.5625rem;padding-left:.5625rem}.dropdown-toggle-split::after,.dropup .dropdown-toggle-split::after,.dropend .dropdown-toggle-split::after{margin-left:0}.dropstart .dropdown-toggle-split::before{margin-right:0}.btn-sm+.dropdown-toggle-split,.btn-group-sm>.btn+.dropdown-toggle-split{padding-right:.375rem;padding-left:.375rem}.btn-lg+.dropdown-toggle-split,.btn-group-lg>.btn+.dropdown-toggle-split{padding-right:.75rem;padding-left:.75rem}.btn-group-vertical{flex-direction:column;-webkit-flex-direction:column;align-items:flex-start;-webkit-align-items:flex-start;justify-content:center;-webkit-justify-content:center}.btn-group-vertical>.btn,.btn-group-vertical>.btn-group{width:100%}.btn-group-vertical>.btn:not(:first-child),.btn-group-vertical>.btn-group:not(:first-child){margin-top:calc(var(--bs-border-width) * -1)}.btn-group-vertical>.btn:not(:last-child):not(.dropdown-toggle),.btn-group-vertical>.btn-group:not(:last-child)>.btn{border-bottom-right-radius:0;border-bottom-left-radius:0}.btn-group-vertical>.btn~.btn,.btn-group-vertical>.btn-group:not(:first-child)>.btn{border-top-left-radius:0;border-top-right-radius:0}.nav{--bs-nav-link-padding-x: 1rem;--bs-nav-link-padding-y: .5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: var(--bs-link-color);--bs-nav-link-hover-color: var(--bs-link-hover-color);--bs-nav-link-disabled-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background:none;border:0;transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.nav-link{transition:none}}.nav-link:hover,.nav-link:focus{color:var(--bs-nav-link-hover-color)}.nav-link:focus-visible{outline:0;box-shadow:0 0 0 .25rem rgba(13,110,253,0.25)}.nav-link.disabled,.nav-link:disabled{color:var(--bs-nav-link-disabled-color);pointer-events:none;cursor:default}.nav-tabs{--bs-nav-tabs-border-width: var(--bs-border-width);--bs-nav-tabs-border-color: var(--bs-border-color);--bs-nav-tabs-border-radius: var(--bs-border-radius);--bs-nav-tabs-link-hover-border-color: var(--bs-secondary-bg) var(--bs-secondary-bg) var(--bs-border-color);--bs-nav-tabs-link-active-color: var(--bs-emphasis-color);--bs-nav-tabs-link-active-bg: var(--bs-body-bg);--bs-nav-tabs-link-active-border-color: var(--bs-border-color) var(--bs-border-color) var(--bs-body-bg);border-bottom:var(--bs-nav-tabs-border-width) solid var(--bs-nav-tabs-border-color)}.nav-tabs .nav-link{margin-bottom:calc(-1 * var(--bs-nav-tabs-border-width));border:var(--bs-nav-tabs-border-width) solid transparent;border-top-left-radius:var(--bs-nav-tabs-border-radius);border-top-right-radius:var(--bs-nav-tabs-border-radius)}.nav-tabs .nav-link:hover,.nav-tabs .nav-link:focus{isolation:isolate;border-color:var(--bs-nav-tabs-link-hover-border-color)}.nav-tabs .nav-link.active,.nav-tabs .nav-item.show .nav-link{color:var(--bs-nav-tabs-link-active-color);background-color:var(--bs-nav-tabs-link-active-bg);border-color:var(--bs-nav-tabs-link-active-border-color)}.nav-tabs .dropdown-menu{margin-top:calc(-1 * var(--bs-nav-tabs-border-width));border-top-left-radius:0;border-top-right-radius:0}.nav-pills{--bs-nav-pills-border-radius: var(--bs-border-radius);--bs-nav-pills-link-active-color: #fff;--bs-nav-pills-link-active-bg: #0d6efd}.nav-pills .nav-link{border-radius:var(--bs-nav-pills-border-radius)}.nav-pills .nav-link.active,.nav-pills .show>.nav-link{color:var(--bs-nav-pills-link-active-color);background-color:var(--bs-nav-pills-link-active-bg)}.nav-underline{--bs-nav-underline-gap: 1rem;--bs-nav-underline-border-width: .125rem;--bs-nav-underline-link-active-color: var(--bs-emphasis-color);gap:var(--bs-nav-underline-gap)}.nav-underline .nav-link{padding-right:0;padding-left:0;border-bottom:var(--bs-nav-underline-border-width) solid transparent}.nav-underline .nav-link:hover,.nav-underline .nav-link:focus{border-bottom-color:currentcolor}.nav-underline .nav-link.active,.nav-underline .show>.nav-link{font-weight:700;color:var(--bs-nav-underline-link-active-color);border-bottom-color:currentcolor}.nav-fill>.nav-link,.nav-fill .nav-item{flex:1 1 auto;-webkit-flex:1 1 auto;text-align:center}.nav-justified>.nav-link,.nav-justified .nav-item{flex-basis:0;-webkit-flex-basis:0;flex-grow:1;-webkit-flex-grow:1;text-align:center}.nav-fill .nav-item .nav-link,.nav-justified .nav-item .nav-link{width:100%}.tab-content>.tab-pane{display:none}.tab-content>.active{display:block}.navbar{--bs-navbar-padding-x: 0;--bs-navbar-padding-y: .5rem;--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.65);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.8);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.3);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-padding-y: .3125rem;--bs-navbar-brand-margin-end: 1rem;--bs-navbar-brand-font-size: 1.25rem;--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-nav-link-padding-x: .5rem;--bs-navbar-toggler-padding-y: .25rem;--bs-navbar-toggler-padding-x: .75rem;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%2833,37,41,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.15);--bs-navbar-toggler-border-radius: var(--bs-border-radius);--bs-navbar-toggler-focus-width: .25rem;--bs-navbar-toggler-transition: box-shadow 0.15s ease-in-out;position:relative;display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;align-items:center;-webkit-align-items:center;justify-content:space-between;-webkit-justify-content:space-between;padding:var(--bs-navbar-padding-y) 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var(--bs-navbar-hover-color);--bs-nav-link-disabled-color: var(--bs-navbar-disabled-color);display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;list-style:none}.navbar-nav .nav-link.active,.navbar-nav .nav-link.show{color:var(--bs-navbar-active-color)}.navbar-nav .dropdown-menu{position:static}.navbar-text{padding-top:.5rem;padding-bottom:.5rem;color:var(--bs-navbar-color)}.navbar-text a,.navbar-text a:hover,.navbar-text a:focus{color:var(--bs-navbar-active-color)}.navbar-collapse{flex-basis:100%;-webkit-flex-basis:100%;flex-grow:1;-webkit-flex-grow:1;align-items:center;-webkit-align-items:center}.navbar-toggler{padding:var(--bs-navbar-toggler-padding-y) var(--bs-navbar-toggler-padding-x);font-size:var(--bs-navbar-toggler-font-size);line-height:1;color:var(--bs-navbar-color);background-color:transparent;border:var(--bs-border-width) solid 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992px){.navbar-expand-lg{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-lg .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-lg .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-lg .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-lg .navbar-nav-scroll{overflow:visible}.navbar-expand-lg .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-lg .navbar-toggler{display:none}.navbar-expand-lg .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-lg .offcanvas .offcanvas-header{display:none}.navbar-expand-lg .offcanvas 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!important;transform:none !important;transition:none}.navbar-expand-xl .offcanvas .offcanvas-header{display:none}.navbar-expand-xl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}@media (min-width: 1400px){.navbar-expand-xxl{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand-xxl .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand-xxl .navbar-nav .dropdown-menu{position:absolute}.navbar-expand-xxl .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand-xxl .navbar-nav-scroll{overflow:visible}.navbar-expand-xxl .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand-xxl .navbar-toggler{display:none}.navbar-expand-xxl .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:transparent !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme="dark"]{--bs-navbar-color: rgba(var(--bs-emphasis-color-rgb), 0.55);--bs-navbar-hover-color: rgba(var(--bs-emphasis-color-rgb), 0.75);--bs-navbar-disabled-color: rgba(var(--bs-emphasis-color-rgb), 0.25);--bs-navbar-active-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-brand-hover-color: rgba(var(--bs-emphasis-color-rgb), 1);--bs-navbar-toggler-border-color: rgba(var(--bs-emphasis-color-rgb), 0.1);--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}[data-bs-theme="dark"] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgba%28255,255,255,0.75%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: .5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: var(--bs-border-width);--bs-card-border-color: var(--bs-border-color-translucent);--bs-card-border-radius: var(--bs-border-radius);--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-card-cap-padding-y: .5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(var(--bs-body-color-rgb), 0.03);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: var(--bs-body-bg);--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: .75rem;position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid var(--bs-card-border-color);border-radius:var(--bs-card-border-radius)}.card>hr{margin-right:0;margin-left:0}.card>.list-group{border-top:inherit;border-bottom:inherit}.card>.list-group:first-child{border-top-width:0;border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card>.list-group:last-child{border-bottom-width:0;border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card>.card-header+.list-group,.card>.list-group+.card-footer{border-top:0}.card-body{flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-card-spacer-y) var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-.5 * var(--bs-card-title-spacer-y));margin-bottom:0;color:var(--bs-card-subtitle-color)}.card-text:last-child{margin-bottom:0}.card-link+.card-link{margin-left:var(--bs-card-spacer-x)}.card-header{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);margin-bottom:0;color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-bottom:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-header:first-child{border-radius:var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius) 0 0}.card-footer{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-top:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-footer:last-child{border-radius:0 0 var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius)}.card-header-tabs{margin-right:calc(-.5 * var(--bs-card-cap-padding-x));margin-bottom:calc(-1 * 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wrap;-webkit-flex-flow:row wrap}.card-group>.card{flex:1 0 0%;-webkit-flex:1 0 0%;margin-bottom:0}.card-group>.card+.card{margin-left:0;border-left:0}.card-group>.card:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}.card-group>.card:not(:last-child) .card-img-top,.card-group>.card:not(:last-child) .card-header{border-top-right-radius:0}.card-group>.card:not(:last-child) .card-img-bottom,.card-group>.card:not(:last-child) .card-footer{border-bottom-right-radius:0}.card-group>.card:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.card-group>.card:not(:first-child) .card-img-top,.card-group>.card:not(:first-child) .card-header{border-top-left-radius:0}.card-group>.card:not(:first-child) .card-img-bottom,.card-group>.card:not(:first-child) .card-footer{border-bottom-left-radius:0}}.accordion{--bs-accordion-color: var(--bs-body-color);--bs-accordion-bg: var(--bs-body-bg);--bs-accordion-transition: color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out,border-radius 0.15s ease;--bs-accordion-border-color: var(--bs-border-color);--bs-accordion-border-width: var(--bs-border-width);--bs-accordion-border-radius: var(--bs-border-radius);--bs-accordion-inner-border-radius: calc(var(--bs-border-radius) - (var(--bs-border-width)));--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: var(--bs-body-color);--bs-accordion-btn-bg: var(--bs-accordion-bg);--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23212529'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23052c65'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-focus-border-color: #86b7fe;--bs-accordion-btn-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-accordion-body-padding-x: 1.25rem;--bs-accordion-body-padding-y: 1rem;--bs-accordion-active-color: var(--bs-primary-text-emphasis);--bs-accordion-active-bg: var(--bs-primary-bg-subtle)}.accordion-button{position:relative;display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;width:100%;padding:var(--bs-accordion-btn-padding-y) var(--bs-accordion-btn-padding-x);font-size:1rem;color:var(--bs-accordion-btn-color);text-align:left;background-color:var(--bs-accordion-btn-bg);border:0;border-radius:0;overflow-anchor:none;transition:var(--bs-accordion-transition)}@media (prefers-reduced-motion: reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1 * var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media (prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme="dark"] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%236ea8fe'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e")}.breadcrumb{--bs-breadcrumb-padding-x: 0;--bs-breadcrumb-padding-y: 0;--bs-breadcrumb-margin-bottom: 1rem;--bs-breadcrumb-bg: ;--bs-breadcrumb-border-radius: ;--bs-breadcrumb-divider-color: var(--bs-secondary-color);--bs-breadcrumb-item-padding-x: .5rem;--bs-breadcrumb-item-active-color: var(--bs-secondary-color);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding:var(--bs-breadcrumb-padding-y) var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, "/") /* rtl: var(--bs-breadcrumb-divider, "/") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: .75rem;--bs-pagination-padding-y: .375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: var(--bs-link-color);--bs-pagination-bg: var(--bs-body-bg);--bs-pagination-border-width: var(--bs-border-width);--bs-pagination-border-color: var(--bs-border-color);--bs-pagination-border-radius: var(--bs-border-radius);--bs-pagination-hover-color: var(--bs-link-hover-color);--bs-pagination-hover-bg: var(--bs-tertiary-bg);--bs-pagination-hover-border-color: var(--bs-border-color);--bs-pagination-focus-color: var(--bs-link-hover-color);--bs-pagination-focus-bg: var(--bs-secondary-bg);--bs-pagination-focus-box-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-pagination-active-color: #fff;--bs-pagination-active-bg: #0d6efd;--bs-pagination-active-border-color: #0d6efd;--bs-pagination-disabled-color: var(--bs-secondary-color);--bs-pagination-disabled-bg: var(--bs-secondary-bg);--bs-pagination-disabled-border-color: var(--bs-border-color);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color 0.15s ease-in-out,background-color 0.15s ease-in-out,border-color 0.15s ease-in-out,box-shadow 0.15s ease-in-out}@media (prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(var(--bs-border-width) * -1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: .75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: var(--bs-border-radius-lg)}.pagination-sm{--bs-pagination-padding-x: .5rem;--bs-pagination-padding-y: .25rem;--bs-pagination-font-size:.875rem;--bs-pagination-border-radius: var(--bs-border-radius-sm)}.badge{--bs-badge-padding-x: .65em;--bs-badge-padding-y: .35em;--bs-badge-font-size:.75em;--bs-badge-font-weight: 700;--bs-badge-color: #fff;--bs-badge-border-radius: var(--bs-border-radius);display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: var(--bs-border-width) solid var(--bs-alert-border-color);--bs-alert-border-radius: var(--bs-border-radius);--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:.75rem;--bs-progress-bg: var(--bs-secondary-bg);--bs-progress-border-radius: var(--bs-border-radius);--bs-progress-box-shadow: var(--bs-box-shadow-inset);--bs-progress-bar-color: #fff;--bs-progress-bar-bg: #0d6efd;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media (prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255,255,255,0.15) 25%, transparent 25%, transparent 50%, rgba(255,255,255,0.15) 50%, rgba(255,255,255,0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media (prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: var(--bs-body-color);--bs-list-group-bg: var(--bs-body-bg);--bs-list-group-border-color: var(--bs-border-color);--bs-list-group-border-width: var(--bs-border-width);--bs-list-group-border-radius: var(--bs-border-radius);--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: .5rem;--bs-list-group-action-color: var(--bs-secondary-color);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-tertiary-bg);--bs-list-group-action-active-color: var(--bs-body-color);--bs-list-group-action-active-bg: var(--bs-secondary-bg);--bs-list-group-disabled-color: var(--bs-secondary-color);--bs-list-group-disabled-bg: var(--bs-body-bg);--bs-list-group-active-color: #fff;--bs-list-group-active-bg: #0d6efd;--bs-list-group-active-border-color: #0d6efd;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") 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var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1 * 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576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1 * var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media (min-width: 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var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: 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var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: .5;--bs-btn-close-hover-opacity: .75;--bs-btn-close-focus-shadow: 0 0 0 .25rem rgba(13,110,253,0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: .25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:transparent var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.375rem;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme="dark"] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: .75rem;--bs-toast-padding-y: .5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-border-width: var(--bs-border-width);--bs-toast-border-color: var(--bs-border-color-translucent);--bs-toast-border-radius: var(--bs-border-radius);--bs-toast-box-shadow: var(--bs-box-shadow);--bs-toast-header-color: var(--bs-secondary-color);--bs-toast-header-bg: rgba(var(--bs-body-bg-rgb), 0.85);--bs-toast-header-border-color: var(--bs-border-color-translucent);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-.5 * 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diff --git a/latest-tag/deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js b/latest-tag/deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js
new file mode 100644
index 00000000..c628326a
--- /dev/null
+++ b/latest-tag/deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js
@@ -0,0 +1,5 @@
+/*!
+ * Bootstrap Table of Contents v1.0.1 (http://afeld.github.io/bootstrap-toc/)
+ * Copyright 2015 Aidan Feldman
+ * Licensed under MIT (https://github.com/afeld/bootstrap-toc/blob/gh-pages/LICENSE.md) */
+!function(a){"use strict";window.Toc={helpers:{findOrFilter:function(e,t){var n=e.find(t);return e.filter(t).add(n).filter(":not([data-toc-skip])")},generateUniqueIdBase:function(e){return a(e).text().trim().replace(/\'/gi,"").replace(/[& +$,:;=?@"#{}|^~[`%!'<>\]\.\/\(\)\*\\\n\t\b\v]/g,"-").replace(/-{2,}/g,"-").substring(0,64).replace(/^-+|-+$/gm,"").toLowerCase()||e.tagName.toLowerCase()},generateUniqueId:function(e){for(var t=this.generateUniqueIdBase(e),n=0;;n++){var r=t;if(0<n&&(r+="-"+n),!document.getElementById(r))return r}},generateAnchor:function(e){if(e.id)return e.id;var t=this.generateUniqueId(e);return e.id=t},createNavList:function(){return a('<ul class="nav navbar-nav"></ul>')},createChildNavList:function(e){var t=this.createNavList();return e.append(t),t},generateNavEl:function(e,t){var n=a('<a class="nav-link"></a>');n.attr("href","#"+e),n.text(t);var r=a("<li></li>");return r.append(n),r},generateNavItem:function(e){var t=this.generateAnchor(e),n=a(e),r=n.data("toc-text")||n.text();return this.generateNavEl(t,r)},getTopLevel:function(e){for(var t=1;t<=6;t++){if(1<this.findOrFilter(e,"h"+t).length)return t}return 1},getHeadings:function(e,t){var n="h"+t,r="h"+(t+1);return this.findOrFilter(e,n+","+r)},getNavLevel:function(e){return parseInt(e.tagName.charAt(1),10)},populateNav:function(r,a,e){var i,s=r,c=this;e.each(function(e,t){var n=c.generateNavItem(t);c.getNavLevel(t)===a?s=r:i&&s===r&&(s=c.createChildNavList(i)),s.append(n),i=n})},parseOps:function(e){var t;return(t=e.jquery?{$nav:e}:e).$scope=t.$scope||a(document.body),t}},init:function(e){(e=this.helpers.parseOps(e)).$nav.attr("data-toggle","toc");var t=this.helpers.createChildNavList(e.$nav),n=this.helpers.getTopLevel(e.$scope),r=this.helpers.getHeadings(e.$scope,n);this.helpers.populateNav(t,n,r)}},a(function(){a('nav[data-toggle="toc"]').each(function(e,t){var n=a(t);Toc.init(n)})})}(jQuery);
\ No newline at end of file
diff --git a/latest-tag/deps/clipboard.js-2.0.11/clipboard.min.js b/latest-tag/deps/clipboard.js-2.0.11/clipboard.min.js
new file mode 100644
index 00000000..1103f811
--- /dev/null
+++ b/latest-tag/deps/clipboard.js-2.0.11/clipboard.min.js
@@ -0,0 +1,7 @@
+/*!
+ * clipboard.js v2.0.11
+ * https://clipboardjs.com/
+ *
+ * Licensed MIT © Zeno Rocha
+ */
+!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return n={686:function(t,e,n){"use strict";n.d(e,{default:function(){return b}});var e=n(279),i=n.n(e),e=n(370),u=n.n(e),e=n(817),r=n.n(e);function c(t){try{return document.execCommand(t)}catch(t){return}}var a=function(t){t=r()(t);return c("cut"),t};function o(t,e){var n,o,t=(n=t,o="rtl"===document.documentElement.getAttribute("dir"),(t=document.createElement("textarea")).style.fontSize="12pt",t.style.border="0",t.style.padding="0",t.style.margin="0",t.style.position="absolute",t.style[o?"right":"left"]="-9999px",o=window.pageYOffset||document.documentElement.scrollTop,t.style.top="".concat(o,"px"),t.setAttribute("readonly",""),t.value=n,t);return e.container.appendChild(t),e=r()(t),c("copy"),t.remove(),e}var f=function(t){var e=1<arguments.length&&void 0!==arguments[1]?arguments[1]:{container:document.body},n="";return"string"==typeof t?n=o(t,e):t instanceof HTMLInputElement&&!["text","search","url","tel","password"].includes(null==t?void 0:t.type)?n=o(t.value,e):(n=r()(t),c("copy")),n};function l(t){return(l="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(t){return typeof t}:function(t){return t&&"function"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t})(t)}var s=function(){var t=0<arguments.length&&void 0!==arguments[0]?arguments[0]:{},e=t.action,n=void 0===e?"copy":e,o=t.container,e=t.target,t=t.text;if("copy"!==n&&"cut"!==n)throw new Error('Invalid "action" value, use either "copy" or "cut"');if(void 0!==e){if(!e||"object"!==l(e)||1!==e.nodeType)throw new Error('Invalid "target" value, use a valid Element');if("copy"===n&&e.hasAttribute("disabled"))throw new Error('Invalid "target" attribute. 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e=t.delegateTarget||t.currentTarget,n=this.action(e)||"copy",t=s({action:n,container:this.container,target:this.target(e),text:this.text(e)});this.emit(t?"success":"error",{action:n,text:t,trigger:e,clearSelection:function(){e&&e.focus(),window.getSelection().removeAllRanges()}})}},{key:"defaultAction",value:function(t){return m("action",t)}},{key:"defaultTarget",value:function(t){t=m("target",t);if(t)return document.querySelector(t)}},{key:"defaultText",value:function(t){return m("text",t)}},{key:"destroy",value:function(){this.listener.destroy()}}])&&d(t.prototype,e),n&&d(t,n),r}()},828:function(t){var e;"undefined"==typeof Element||Element.prototype.matches||((e=Element.prototype).matches=e.matchesSelector||e.mozMatchesSelector||e.msMatchesSelector||e.oMatchesSelector||e.webkitMatchesSelector),t.exports=function(t,e){for(;t&&9!==t.nodeType;){if("function"==typeof t.matches&&t.matches(e))return t;t=t.parentNode}}},438:function(t,e,n){var u=n(828);function i(t,e,n,o,r){var 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\ No newline at end of file
diff --git a/latest-tag/deps/data-deps.txt b/latest-tag/deps/data-deps.txt
index 693b82d1..8aa49e21 100644
--- a/latest-tag/deps/data-deps.txt
+++ b/latest-tag/deps/data-deps.txt
@@ -2,3 +2,12 @@
 <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no" />
 <link href="deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet" />
 <script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script>
+<link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet" />
+<link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet" />
+<script src="deps/headroom-0.11.0/headroom.min.js"></script>
+<script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script>
+<script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script>
+<script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script>
+<script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script>
+<script src="deps/search-1.0.0/fuse.min.js"></script>
+<script src="deps/search-1.0.0/mark.min.js"></script>
diff --git a/latest-tag/deps/font-awesome-6.4.2/css/all.css b/latest-tag/deps/font-awesome-6.4.2/css/all.css
new file mode 100644
index 00000000..bdb6e3ae
--- /dev/null
+++ b/latest-tag/deps/font-awesome-6.4.2/css/all.css
@@ -0,0 +1,7968 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa {
+  font-family: var(--fa-style-family, "Font Awesome 6 Free");
+  font-weight: var(--fa-style, 900); }
+
+.fa,
+.fa-classic,
+.fa-sharp,
+.fas,
+.fa-solid,
+.far,
+.fa-regular,
+.fab,
+.fa-brands {
+  -moz-osx-font-smoothing: grayscale;
+  -webkit-font-smoothing: antialiased;
+  display: var(--fa-display, inline-block);
+  font-style: normal;
+  font-variant: normal;
+  line-height: 1;
+  text-rendering: auto; }
+
+.fas,
+.fa-classic,
+.fa-solid,
+.far,
+.fa-regular {
+  font-family: 'Font Awesome 6 Free'; }
+
+.fab,
+.fa-brands {
+  font-family: 'Font Awesome 6 Brands'; }
+
+.fa-1x {
+  font-size: 1em; }
+
+.fa-2x {
+  font-size: 2em; }
+
+.fa-3x {
+  font-size: 3em; }
+
+.fa-4x {
+  font-size: 4em; }
+
+.fa-5x {
+  font-size: 5em; }
+
+.fa-6x {
+  font-size: 6em; }
+
+.fa-7x {
+  font-size: 7em; }
+
+.fa-8x {
+  font-size: 8em; }
+
+.fa-9x {
+  font-size: 9em; }
+
+.fa-10x {
+  font-size: 10em; }
+
+.fa-2xs {
+  font-size: 0.625em;
+  line-height: 0.1em;
+  vertical-align: 0.225em; }
+
+.fa-xs {
+  font-size: 0.75em;
+  line-height: 0.08333em;
+  vertical-align: 0.125em; }
+
+.fa-sm {
+  font-size: 0.875em;
+  line-height: 0.07143em;
+  vertical-align: 0.05357em; }
+
+.fa-lg {
+  font-size: 1.25em;
+  line-height: 0.05em;
+  vertical-align: -0.075em; }
+
+.fa-xl {
+  font-size: 1.5em;
+  line-height: 0.04167em;
+  vertical-align: -0.125em; }
+
+.fa-2xl {
+  font-size: 2em;
+  line-height: 0.03125em;
+  vertical-align: -0.1875em; }
+
+.fa-fw {
+  text-align: center;
+  width: 1.25em; }
+
+.fa-ul {
+  list-style-type: none;
+  margin-left: var(--fa-li-margin, 2.5em);
+  padding-left: 0; }
+  .fa-ul > li {
+    position: relative; }
+
+.fa-li {
+  left: calc(var(--fa-li-width, 2em) * -1);
+  position: absolute;
+  text-align: center;
+  width: var(--fa-li-width, 2em);
+  line-height: inherit; }
+
+.fa-border {
+  border-color: var(--fa-border-color, #eee);
+  border-radius: var(--fa-border-radius, 0.1em);
+  border-style: var(--fa-border-style, solid);
+  border-width: var(--fa-border-width, 0.08em);
+  padding: var(--fa-border-padding, 0.2em 0.25em 0.15em); }
+
+.fa-pull-left {
+  float: left;
+  margin-right: var(--fa-pull-margin, 0.3em); }
+
+.fa-pull-right {
+  float: right;
+  margin-left: var(--fa-pull-margin, 0.3em); }
+
+.fa-beat {
+  -webkit-animation-name: fa-beat;
+          animation-name: fa-beat;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out);
+          animation-timing-function: var(--fa-animation-timing, ease-in-out); }
+
+.fa-bounce {
+  -webkit-animation-name: fa-bounce;
+          animation-name: fa-bounce;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1)); }
+
+.fa-fade {
+  -webkit-animation-name: fa-fade;
+          animation-name: fa-fade;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); }
+
+.fa-beat-fade {
+  -webkit-animation-name: fa-beat-fade;
+          animation-name: fa-beat-fade;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1));
+          animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); }
+
+.fa-flip {
+  -webkit-animation-name: fa-flip;
+          animation-name: fa-flip;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out);
+          animation-timing-function: var(--fa-animation-timing, ease-in-out); }
+
+.fa-shake {
+  -webkit-animation-name: fa-shake;
+          animation-name: fa-shake;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, linear);
+          animation-timing-function: var(--fa-animation-timing, linear); }
+
+.fa-spin {
+  -webkit-animation-name: fa-spin;
+          animation-name: fa-spin;
+  -webkit-animation-delay: var(--fa-animation-delay, 0s);
+          animation-delay: var(--fa-animation-delay, 0s);
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 2s);
+          animation-duration: var(--fa-animation-duration, 2s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, linear);
+          animation-timing-function: var(--fa-animation-timing, linear); }
+
+.fa-spin-reverse {
+  --fa-animation-direction: reverse; }
+
+.fa-pulse,
+.fa-spin-pulse {
+  -webkit-animation-name: fa-spin;
+          animation-name: fa-spin;
+  -webkit-animation-direction: var(--fa-animation-direction, normal);
+          animation-direction: var(--fa-animation-direction, normal);
+  -webkit-animation-duration: var(--fa-animation-duration, 1s);
+          animation-duration: var(--fa-animation-duration, 1s);
+  -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+          animation-iteration-count: var(--fa-animation-iteration-count, infinite);
+  -webkit-animation-timing-function: var(--fa-animation-timing, steps(8));
+          animation-timing-function: var(--fa-animation-timing, steps(8)); }
+
+@media (prefers-reduced-motion: reduce) {
+  .fa-beat,
+  .fa-bounce,
+  .fa-fade,
+  .fa-beat-fade,
+  .fa-flip,
+  .fa-pulse,
+  .fa-shake,
+  .fa-spin,
+  .fa-spin-pulse {
+    -webkit-animation-delay: -1ms;
+            animation-delay: -1ms;
+    -webkit-animation-duration: 1ms;
+            animation-duration: 1ms;
+    -webkit-animation-iteration-count: 1;
+            animation-iteration-count: 1;
+    -webkit-transition-delay: 0s;
+            transition-delay: 0s;
+    -webkit-transition-duration: 0s;
+            transition-duration: 0s; } }
+
+@-webkit-keyframes fa-beat {
+  0%, 90% {
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  45% {
+    -webkit-transform: scale(var(--fa-beat-scale, 1.25));
+            transform: scale(var(--fa-beat-scale, 1.25)); } }
+
+@keyframes fa-beat {
+  0%, 90% {
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  45% {
+    -webkit-transform: scale(var(--fa-beat-scale, 1.25));
+            transform: scale(var(--fa-beat-scale, 1.25)); } }
+
+@-webkit-keyframes fa-bounce {
+  0% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  10% {
+    -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0);
+            transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); }
+  30% {
+    -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em));
+            transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); }
+  50% {
+    -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0);
+            transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); }
+  57% {
+    -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em));
+            transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); }
+  64% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  100% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); } }
+
+@keyframes fa-bounce {
+  0% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  10% {
+    -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0);
+            transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); }
+  30% {
+    -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em));
+            transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); }
+  50% {
+    -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0);
+            transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); }
+  57% {
+    -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em));
+            transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); }
+  64% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); }
+  100% {
+    -webkit-transform: scale(1, 1) translateY(0);
+            transform: scale(1, 1) translateY(0); } }
+
+@-webkit-keyframes fa-fade {
+  50% {
+    opacity: var(--fa-fade-opacity, 0.4); } }
+
+@keyframes fa-fade {
+  50% {
+    opacity: var(--fa-fade-opacity, 0.4); } }
+
+@-webkit-keyframes fa-beat-fade {
+  0%, 100% {
+    opacity: var(--fa-beat-fade-opacity, 0.4);
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  50% {
+    opacity: 1;
+    -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125));
+            transform: scale(var(--fa-beat-fade-scale, 1.125)); } }
+
+@keyframes fa-beat-fade {
+  0%, 100% {
+    opacity: var(--fa-beat-fade-opacity, 0.4);
+    -webkit-transform: scale(1);
+            transform: scale(1); }
+  50% {
+    opacity: 1;
+    -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125));
+            transform: scale(var(--fa-beat-fade-scale, 1.125)); } }
+
+@-webkit-keyframes fa-flip {
+  50% {
+    -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg));
+            transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } }
+
+@keyframes fa-flip {
+  50% {
+    -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg));
+            transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } }
+
+@-webkit-keyframes fa-shake {
+  0% {
+    -webkit-transform: rotate(-15deg);
+            transform: rotate(-15deg); }
+  4% {
+    -webkit-transform: rotate(15deg);
+            transform: rotate(15deg); }
+  8%, 24% {
+    -webkit-transform: rotate(-18deg);
+            transform: rotate(-18deg); }
+  12%, 28% {
+    -webkit-transform: rotate(18deg);
+            transform: rotate(18deg); }
+  16% {
+    -webkit-transform: rotate(-22deg);
+            transform: rotate(-22deg); }
+  20% {
+    -webkit-transform: rotate(22deg);
+            transform: rotate(22deg); }
+  32% {
+    -webkit-transform: rotate(-12deg);
+            transform: rotate(-12deg); }
+  36% {
+    -webkit-transform: rotate(12deg);
+            transform: rotate(12deg); }
+  40%, 100% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); } }
+
+@keyframes fa-shake {
+  0% {
+    -webkit-transform: rotate(-15deg);
+            transform: rotate(-15deg); }
+  4% {
+    -webkit-transform: rotate(15deg);
+            transform: rotate(15deg); }
+  8%, 24% {
+    -webkit-transform: rotate(-18deg);
+            transform: rotate(-18deg); }
+  12%, 28% {
+    -webkit-transform: rotate(18deg);
+            transform: rotate(18deg); }
+  16% {
+    -webkit-transform: rotate(-22deg);
+            transform: rotate(-22deg); }
+  20% {
+    -webkit-transform: rotate(22deg);
+            transform: rotate(22deg); }
+  32% {
+    -webkit-transform: rotate(-12deg);
+            transform: rotate(-12deg); }
+  36% {
+    -webkit-transform: rotate(12deg);
+            transform: rotate(12deg); }
+  40%, 100% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); } }
+
+@-webkit-keyframes fa-spin {
+  0% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); }
+  100% {
+    -webkit-transform: rotate(360deg);
+            transform: rotate(360deg); } }
+
+@keyframes fa-spin {
+  0% {
+    -webkit-transform: rotate(0deg);
+            transform: rotate(0deg); }
+  100% {
+    -webkit-transform: rotate(360deg);
+            transform: rotate(360deg); } }
+
+.fa-rotate-90 {
+  -webkit-transform: rotate(90deg);
+          transform: rotate(90deg); }
+
+.fa-rotate-180 {
+  -webkit-transform: rotate(180deg);
+          transform: rotate(180deg); }
+
+.fa-rotate-270 {
+  -webkit-transform: rotate(270deg);
+          transform: rotate(270deg); }
+
+.fa-flip-horizontal {
+  -webkit-transform: scale(-1, 1);
+          transform: scale(-1, 1); }
+
+.fa-flip-vertical {
+  -webkit-transform: scale(1, -1);
+          transform: scale(1, -1); }
+
+.fa-flip-both,
+.fa-flip-horizontal.fa-flip-vertical {
+  -webkit-transform: scale(-1, -1);
+          transform: scale(-1, -1); }
+
+.fa-rotate-by {
+  -webkit-transform: rotate(var(--fa-rotate-angle, none));
+          transform: rotate(var(--fa-rotate-angle, none)); }
+
+.fa-stack {
+  display: inline-block;
+  height: 2em;
+  line-height: 2em;
+  position: relative;
+  vertical-align: middle;
+  width: 2.5em; }
+
+.fa-stack-1x,
+.fa-stack-2x {
+  left: 0;
+  position: absolute;
+  text-align: center;
+  width: 100%;
+  z-index: var(--fa-stack-z-index, auto); }
+
+.fa-stack-1x {
+  line-height: inherit; }
+
+.fa-stack-2x {
+  font-size: 2em; }
+
+.fa-inverse {
+  color: var(--fa-inverse, #fff); }
+
+/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
+readers do not read off random characters that represent icons */
+
+.fa-0::before {
+  content: "\30"; }
+
+.fa-1::before {
+  content: "\31"; }
+
+.fa-2::before {
+  content: "\32"; }
+
+.fa-3::before {
+  content: "\33"; }
+
+.fa-4::before {
+  content: "\34"; }
+
+.fa-5::before {
+  content: "\35"; }
+
+.fa-6::before {
+  content: "\36"; }
+
+.fa-7::before {
+  content: "\37"; }
+
+.fa-8::before {
+  content: "\38"; }
+
+.fa-9::before {
+  content: "\39"; }
+
+.fa-fill-drip::before {
+  content: "\f576"; }
+
+.fa-arrows-to-circle::before {
+  content: "\e4bd"; }
+
+.fa-circle-chevron-right::before {
+  content: "\f138"; }
+
+.fa-chevron-circle-right::before {
+  content: "\f138"; }
+
+.fa-at::before {
+  content: "\40"; }
+
+.fa-trash-can::before {
+  content: "\f2ed"; }
+
+.fa-trash-alt::before {
+  content: "\f2ed"; }
+
+.fa-text-height::before {
+  content: "\f034"; }
+
+.fa-user-xmark::before {
+  content: "\f235"; }
+
+.fa-user-times::before {
+  content: "\f235"; }
+
+.fa-stethoscope::before {
+  content: "\f0f1"; }
+
+.fa-message::before {
+  content: "\f27a"; }
+
+.fa-comment-alt::before {
+  content: "\f27a"; }
+
+.fa-info::before {
+  content: "\f129"; }
+
+.fa-down-left-and-up-right-to-center::before {
+  content: "\f422"; }
+
+.fa-compress-alt::before {
+  content: "\f422"; }
+
+.fa-explosion::before {
+  content: "\e4e9"; }
+
+.fa-file-lines::before {
+  content: "\f15c"; }
+
+.fa-file-alt::before {
+  content: "\f15c"; }
+
+.fa-file-text::before {
+  content: "\f15c"; }
+
+.fa-wave-square::before {
+  content: "\f83e"; }
+
+.fa-ring::before {
+  content: "\f70b"; }
+
+.fa-building-un::before {
+  content: "\e4d9"; }
+
+.fa-dice-three::before {
+  content: "\f527"; }
+
+.fa-calendar-days::before {
+  content: "\f073"; }
+
+.fa-calendar-alt::before {
+  content: "\f073"; }
+
+.fa-anchor-circle-check::before {
+  content: "\e4aa"; }
+
+.fa-building-circle-arrow-right::before {
+  content: "\e4d1"; }
+
+.fa-volleyball::before {
+  content: "\f45f"; }
+
+.fa-volleyball-ball::before {
+  content: "\f45f"; }
+
+.fa-arrows-up-to-line::before {
+  content: "\e4c2"; }
+
+.fa-sort-down::before {
+  content: "\f0dd"; }
+
+.fa-sort-desc::before {
+  content: "\f0dd"; }
+
+.fa-circle-minus::before {
+  content: "\f056"; }
+
+.fa-minus-circle::before {
+  content: "\f056"; }
+
+.fa-door-open::before {
+  content: "\f52b"; }
+
+.fa-right-from-bracket::before {
+  content: "\f2f5"; }
+
+.fa-sign-out-alt::before {
+  content: "\f2f5"; }
+
+.fa-atom::before {
+  content: "\f5d2"; }
+
+.fa-soap::before {
+  content: "\e06e"; }
+
+.fa-icons::before {
+  content: "\f86d"; }
+
+.fa-heart-music-camera-bolt::before {
+  content: "\f86d"; }
+
+.fa-microphone-lines-slash::before {
+  content: "\f539"; }
+
+.fa-microphone-alt-slash::before {
+  content: "\f539"; }
+
+.fa-bridge-circle-check::before {
+  content: "\e4c9"; }
+
+.fa-pump-medical::before {
+  content: "\e06a"; }
+
+.fa-fingerprint::before {
+  content: "\f577"; }
+
+.fa-hand-point-right::before {
+  content: "\f0a4"; }
+
+.fa-magnifying-glass-location::before {
+  content: "\f689"; }
+
+.fa-search-location::before {
+  content: "\f689"; }
+
+.fa-forward-step::before {
+  content: "\f051"; }
+
+.fa-step-forward::before {
+  content: "\f051"; }
+
+.fa-face-smile-beam::before {
+  content: "\f5b8"; }
+
+.fa-smile-beam::before {
+  content: "\f5b8"; }
+
+.fa-flag-checkered::before {
+  content: "\f11e"; }
+
+.fa-football::before {
+  content: "\f44e"; }
+
+.fa-football-ball::before {
+  content: "\f44e"; }
+
+.fa-school-circle-exclamation::before {
+  content: "\e56c"; }
+
+.fa-crop::before {
+  content: "\f125"; }
+
+.fa-angles-down::before {
+  content: "\f103"; }
+
+.fa-angle-double-down::before {
+  content: "\f103"; }
+
+.fa-users-rectangle::before {
+  content: "\e594"; }
+
+.fa-people-roof::before {
+  content: "\e537"; }
+
+.fa-people-line::before {
+  content: "\e534"; }
+
+.fa-beer-mug-empty::before {
+  content: "\f0fc"; }
+
+.fa-beer::before {
+  content: "\f0fc"; }
+
+.fa-diagram-predecessor::before {
+  content: "\e477"; }
+
+.fa-arrow-up-long::before {
+  content: "\f176"; }
+
+.fa-long-arrow-up::before {
+  content: "\f176"; }
+
+.fa-fire-flame-simple::before {
+  content: "\f46a"; }
+
+.fa-burn::before {
+  content: "\f46a"; }
+
+.fa-person::before {
+  content: "\f183"; }
+
+.fa-male::before {
+  content: "\f183"; }
+
+.fa-laptop::before {
+  content: "\f109"; }
+
+.fa-file-csv::before {
+  content: "\f6dd"; }
+
+.fa-menorah::before {
+  content: "\f676"; }
+
+.fa-truck-plane::before {
+  content: "\e58f"; }
+
+.fa-record-vinyl::before {
+  content: "\f8d9"; }
+
+.fa-face-grin-stars::before {
+  content: "\f587"; }
+
+.fa-grin-stars::before {
+  content: "\f587"; }
+
+.fa-bong::before {
+  content: "\f55c"; }
+
+.fa-spaghetti-monster-flying::before {
+  content: "\f67b"; }
+
+.fa-pastafarianism::before {
+  content: "\f67b"; }
+
+.fa-arrow-down-up-across-line::before {
+  content: "\e4af"; }
+
+.fa-spoon::before {
+  content: "\f2e5"; }
+
+.fa-utensil-spoon::before {
+  content: "\f2e5"; }
+
+.fa-jar-wheat::before {
+  content: "\e517"; }
+
+.fa-envelopes-bulk::before {
+  content: "\f674"; }
+
+.fa-mail-bulk::before {
+  content: "\f674"; }
+
+.fa-file-circle-exclamation::before {
+  content: "\e4eb"; }
+
+.fa-circle-h::before {
+  content: "\f47e"; }
+
+.fa-hospital-symbol::before {
+  content: "\f47e"; }
+
+.fa-pager::before {
+  content: "\f815"; }
+
+.fa-address-book::before {
+  content: "\f2b9"; }
+
+.fa-contact-book::before {
+  content: "\f2b9"; }
+
+.fa-strikethrough::before {
+  content: "\f0cc"; }
+
+.fa-k::before {
+  content: "\4b"; }
+
+.fa-landmark-flag::before {
+  content: "\e51c"; }
+
+.fa-pencil::before {
+  content: "\f303"; }
+
+.fa-pencil-alt::before {
+  content: "\f303"; }
+
+.fa-backward::before {
+  content: "\f04a"; }
+
+.fa-caret-right::before {
+  content: "\f0da"; }
+
+.fa-comments::before {
+  content: "\f086"; }
+
+.fa-paste::before {
+  content: "\f0ea"; }
+
+.fa-file-clipboard::before {
+  content: "\f0ea"; }
+
+.fa-code-pull-request::before {
+  content: "\e13c"; }
+
+.fa-clipboard-list::before {
+  content: "\f46d"; }
+
+.fa-truck-ramp-box::before {
+  content: "\f4de"; }
+
+.fa-truck-loading::before {
+  content: "\f4de"; }
+
+.fa-user-check::before {
+  content: "\f4fc"; }
+
+.fa-vial-virus::before {
+  content: "\e597"; }
+
+.fa-sheet-plastic::before {
+  content: "\e571"; }
+
+.fa-blog::before {
+  content: "\f781"; }
+
+.fa-user-ninja::before {
+  content: "\f504"; }
+
+.fa-person-arrow-up-from-line::before {
+  content: "\e539"; }
+
+.fa-scroll-torah::before {
+  content: "\f6a0"; }
+
+.fa-torah::before {
+  content: "\f6a0"; }
+
+.fa-broom-ball::before {
+  content: "\f458"; }
+
+.fa-quidditch::before {
+  content: "\f458"; }
+
+.fa-quidditch-broom-ball::before {
+  content: "\f458"; }
+
+.fa-toggle-off::before {
+  content: "\f204"; }
+
+.fa-box-archive::before {
+  content: "\f187"; }
+
+.fa-archive::before {
+  content: "\f187"; }
+
+.fa-person-drowning::before {
+  content: "\e545"; }
+
+.fa-arrow-down-9-1::before {
+  content: "\f886"; }
+
+.fa-sort-numeric-desc::before {
+  content: "\f886"; }
+
+.fa-sort-numeric-down-alt::before {
+  content: "\f886"; }
+
+.fa-face-grin-tongue-squint::before {
+  content: "\f58a"; }
+
+.fa-grin-tongue-squint::before {
+  content: "\f58a"; }
+
+.fa-spray-can::before {
+  content: "\f5bd"; }
+
+.fa-truck-monster::before {
+  content: "\f63b"; }
+
+.fa-w::before {
+  content: "\57"; }
+
+.fa-earth-africa::before {
+  content: "\f57c"; }
+
+.fa-globe-africa::before {
+  content: "\f57c"; }
+
+.fa-rainbow::before {
+  content: "\f75b"; }
+
+.fa-circle-notch::before {
+  content: "\f1ce"; }
+
+.fa-tablet-screen-button::before {
+  content: "\f3fa"; }
+
+.fa-tablet-alt::before {
+  content: "\f3fa"; }
+
+.fa-paw::before {
+  content: "\f1b0"; }
+
+.fa-cloud::before {
+  content: "\f0c2"; }
+
+.fa-trowel-bricks::before {
+  content: "\e58a"; }
+
+.fa-face-flushed::before {
+  content: "\f579"; }
+
+.fa-flushed::before {
+  content: "\f579"; }
+
+.fa-hospital-user::before {
+  content: "\f80d"; }
+
+.fa-tent-arrow-left-right::before {
+  content: "\e57f"; }
+
+.fa-gavel::before {
+  content: "\f0e3"; }
+
+.fa-legal::before {
+  content: "\f0e3"; }
+
+.fa-binoculars::before {
+  content: "\f1e5"; }
+
+.fa-microphone-slash::before {
+  content: "\f131"; }
+
+.fa-box-tissue::before {
+  content: "\e05b"; }
+
+.fa-motorcycle::before {
+  content: "\f21c"; }
+
+.fa-bell-concierge::before {
+  content: "\f562"; }
+
+.fa-concierge-bell::before {
+  content: "\f562"; }
+
+.fa-pen-ruler::before {
+  content: "\f5ae"; }
+
+.fa-pencil-ruler::before {
+  content: "\f5ae"; }
+
+.fa-people-arrows::before {
+  content: "\e068"; }
+
+.fa-people-arrows-left-right::before {
+  content: "\e068"; }
+
+.fa-mars-and-venus-burst::before {
+  content: "\e523"; }
+
+.fa-square-caret-right::before {
+  content: "\f152"; }
+
+.fa-caret-square-right::before {
+  content: "\f152"; }
+
+.fa-scissors::before {
+  content: "\f0c4"; }
+
+.fa-cut::before {
+  content: "\f0c4"; }
+
+.fa-sun-plant-wilt::before {
+  content: "\e57a"; }
+
+.fa-toilets-portable::before {
+  content: "\e584"; }
+
+.fa-hockey-puck::before {
+  content: "\f453"; }
+
+.fa-table::before {
+  content: "\f0ce"; }
+
+.fa-magnifying-glass-arrow-right::before {
+  content: "\e521"; }
+
+.fa-tachograph-digital::before {
+  content: "\f566"; }
+
+.fa-digital-tachograph::before {
+  content: "\f566"; }
+
+.fa-users-slash::before {
+  content: "\e073"; }
+
+.fa-clover::before {
+  content: "\e139"; }
+
+.fa-reply::before {
+  content: "\f3e5"; }
+
+.fa-mail-reply::before {
+  content: "\f3e5"; }
+
+.fa-star-and-crescent::before {
+  content: "\f699"; }
+
+.fa-house-fire::before {
+  content: "\e50c"; }
+
+.fa-square-minus::before {
+  content: "\f146"; }
+
+.fa-minus-square::before {
+  content: "\f146"; }
+
+.fa-helicopter::before {
+  content: "\f533"; }
+
+.fa-compass::before {
+  content: "\f14e"; }
+
+.fa-square-caret-down::before {
+  content: "\f150"; }
+
+.fa-caret-square-down::before {
+  content: "\f150"; }
+
+.fa-file-circle-question::before {
+  content: "\e4ef"; }
+
+.fa-laptop-code::before {
+  content: "\f5fc"; }
+
+.fa-swatchbook::before {
+  content: "\f5c3"; }
+
+.fa-prescription-bottle::before {
+  content: "\f485"; }
+
+.fa-bars::before {
+  content: "\f0c9"; }
+
+.fa-navicon::before {
+  content: "\f0c9"; }
+
+.fa-people-group::before {
+  content: "\e533"; }
+
+.fa-hourglass-end::before {
+  content: "\f253"; }
+
+.fa-hourglass-3::before {
+  content: "\f253"; }
+
+.fa-heart-crack::before {
+  content: "\f7a9"; }
+
+.fa-heart-broken::before {
+  content: "\f7a9"; }
+
+.fa-square-up-right::before {
+  content: "\f360"; }
+
+.fa-external-link-square-alt::before {
+  content: "\f360"; }
+
+.fa-face-kiss-beam::before {
+  content: "\f597"; }
+
+.fa-kiss-beam::before {
+  content: "\f597"; }
+
+.fa-film::before {
+  content: "\f008"; }
+
+.fa-ruler-horizontal::before {
+  content: "\f547"; }
+
+.fa-people-robbery::before {
+  content: "\e536"; }
+
+.fa-lightbulb::before {
+  content: "\f0eb"; }
+
+.fa-caret-left::before {
+  content: "\f0d9"; }
+
+.fa-circle-exclamation::before {
+  content: "\f06a"; }
+
+.fa-exclamation-circle::before {
+  content: "\f06a"; }
+
+.fa-school-circle-xmark::before {
+  content: "\e56d"; }
+
+.fa-arrow-right-from-bracket::before {
+  content: "\f08b"; }
+
+.fa-sign-out::before {
+  content: "\f08b"; }
+
+.fa-circle-chevron-down::before {
+  content: "\f13a"; }
+
+.fa-chevron-circle-down::before {
+  content: "\f13a"; }
+
+.fa-unlock-keyhole::before {
+  content: "\f13e"; }
+
+.fa-unlock-alt::before {
+  content: "\f13e"; }
+
+.fa-cloud-showers-heavy::before {
+  content: "\f740"; }
+
+.fa-headphones-simple::before {
+  content: "\f58f"; }
+
+.fa-headphones-alt::before {
+  content: "\f58f"; }
+
+.fa-sitemap::before {
+  content: "\f0e8"; }
+
+.fa-circle-dollar-to-slot::before {
+  content: "\f4b9"; }
+
+.fa-donate::before {
+  content: "\f4b9"; }
+
+.fa-memory::before {
+  content: "\f538"; }
+
+.fa-road-spikes::before {
+  content: "\e568"; }
+
+.fa-fire-burner::before {
+  content: "\e4f1"; }
+
+.fa-flag::before {
+  content: "\f024"; }
+
+.fa-hanukiah::before {
+  content: "\f6e6"; }
+
+.fa-feather::before {
+  content: "\f52d"; }
+
+.fa-volume-low::before {
+  content: "\f027"; }
+
+.fa-volume-down::before {
+  content: "\f027"; }
+
+.fa-comment-slash::before {
+  content: "\f4b3"; }
+
+.fa-cloud-sun-rain::before {
+  content: "\f743"; }
+
+.fa-compress::before {
+  content: "\f066"; }
+
+.fa-wheat-awn::before {
+  content: "\e2cd"; }
+
+.fa-wheat-alt::before {
+  content: "\e2cd"; }
+
+.fa-ankh::before {
+  content: "\f644"; }
+
+.fa-hands-holding-child::before {
+  content: "\e4fa"; }
+
+.fa-asterisk::before {
+  content: "\2a"; }
+
+.fa-square-check::before {
+  content: "\f14a"; }
+
+.fa-check-square::before {
+  content: "\f14a"; }
+
+.fa-peseta-sign::before {
+  content: "\e221"; }
+
+.fa-heading::before {
+  content: "\f1dc"; }
+
+.fa-header::before {
+  content: "\f1dc"; }
+
+.fa-ghost::before {
+  content: "\f6e2"; }
+
+.fa-list::before {
+  content: "\f03a"; }
+
+.fa-list-squares::before {
+  content: "\f03a"; }
+
+.fa-square-phone-flip::before {
+  content: "\f87b"; }
+
+.fa-phone-square-alt::before {
+  content: "\f87b"; }
+
+.fa-cart-plus::before {
+  content: "\f217"; }
+
+.fa-gamepad::before {
+  content: "\f11b"; }
+
+.fa-circle-dot::before {
+  content: "\f192"; }
+
+.fa-dot-circle::before {
+  content: "\f192"; }
+
+.fa-face-dizzy::before {
+  content: "\f567"; }
+
+.fa-dizzy::before {
+  content: "\f567"; }
+
+.fa-egg::before {
+  content: "\f7fb"; }
+
+.fa-house-medical-circle-xmark::before {
+  content: "\e513"; }
+
+.fa-campground::before {
+  content: "\f6bb"; }
+
+.fa-folder-plus::before {
+  content: "\f65e"; }
+
+.fa-futbol::before {
+  content: "\f1e3"; }
+
+.fa-futbol-ball::before {
+  content: "\f1e3"; }
+
+.fa-soccer-ball::before {
+  content: "\f1e3"; }
+
+.fa-paintbrush::before {
+  content: "\f1fc"; }
+
+.fa-paint-brush::before {
+  content: "\f1fc"; }
+
+.fa-lock::before {
+  content: "\f023"; }
+
+.fa-gas-pump::before {
+  content: "\f52f"; }
+
+.fa-hot-tub-person::before {
+  content: "\f593"; }
+
+.fa-hot-tub::before {
+  content: "\f593"; }
+
+.fa-map-location::before {
+  content: "\f59f"; }
+
+.fa-map-marked::before {
+  content: "\f59f"; }
+
+.fa-house-flood-water::before {
+  content: "\e50e"; }
+
+.fa-tree::before {
+  content: "\f1bb"; }
+
+.fa-bridge-lock::before {
+  content: "\e4cc"; }
+
+.fa-sack-dollar::before {
+  content: "\f81d"; }
+
+.fa-pen-to-square::before {
+  content: "\f044"; }
+
+.fa-edit::before {
+  content: "\f044"; }
+
+.fa-car-side::before {
+  content: "\f5e4"; }
+
+.fa-share-nodes::before {
+  content: "\f1e0"; }
+
+.fa-share-alt::before {
+  content: "\f1e0"; }
+
+.fa-heart-circle-minus::before {
+  content: "\e4ff"; }
+
+.fa-hourglass-half::before {
+  content: "\f252"; }
+
+.fa-hourglass-2::before {
+  content: "\f252"; }
+
+.fa-microscope::before {
+  content: "\f610"; }
+
+.fa-sink::before {
+  content: "\e06d"; }
+
+.fa-bag-shopping::before {
+  content: "\f290"; }
+
+.fa-shopping-bag::before {
+  content: "\f290"; }
+
+.fa-arrow-down-z-a::before {
+  content: "\f881"; }
+
+.fa-sort-alpha-desc::before {
+  content: "\f881"; }
+
+.fa-sort-alpha-down-alt::before {
+  content: "\f881"; }
+
+.fa-mitten::before {
+  content: "\f7b5"; }
+
+.fa-person-rays::before {
+  content: "\e54d"; }
+
+.fa-users::before {
+  content: "\f0c0"; }
+
+.fa-eye-slash::before {
+  content: "\f070"; }
+
+.fa-flask-vial::before {
+  content: "\e4f3"; }
+
+.fa-hand::before {
+  content: "\f256"; }
+
+.fa-hand-paper::before {
+  content: "\f256"; }
+
+.fa-om::before {
+  content: "\f679"; }
+
+.fa-worm::before {
+  content: "\e599"; }
+
+.fa-house-circle-xmark::before {
+  content: "\e50b"; }
+
+.fa-plug::before {
+  content: "\f1e6"; }
+
+.fa-chevron-up::before {
+  content: "\f077"; }
+
+.fa-hand-spock::before {
+  content: "\f259"; }
+
+.fa-stopwatch::before {
+  content: "\f2f2"; }
+
+.fa-face-kiss::before {
+  content: "\f596"; }
+
+.fa-kiss::before {
+  content: "\f596"; }
+
+.fa-bridge-circle-xmark::before {
+  content: "\e4cb"; }
+
+.fa-face-grin-tongue::before {
+  content: "\f589"; }
+
+.fa-grin-tongue::before {
+  content: "\f589"; }
+
+.fa-chess-bishop::before {
+  content: "\f43a"; }
+
+.fa-face-grin-wink::before {
+  content: "\f58c"; }
+
+.fa-grin-wink::before {
+  content: "\f58c"; }
+
+.fa-ear-deaf::before {
+  content: "\f2a4"; }
+
+.fa-deaf::before {
+  content: "\f2a4"; }
+
+.fa-deafness::before {
+  content: "\f2a4"; }
+
+.fa-hard-of-hearing::before {
+  content: "\f2a4"; }
+
+.fa-road-circle-check::before {
+  content: "\e564"; }
+
+.fa-dice-five::before {
+  content: "\f523"; }
+
+.fa-square-rss::before {
+  content: "\f143"; }
+
+.fa-rss-square::before {
+  content: "\f143"; }
+
+.fa-land-mine-on::before {
+  content: "\e51b"; }
+
+.fa-i-cursor::before {
+  content: "\f246"; }
+
+.fa-stamp::before {
+  content: "\f5bf"; }
+
+.fa-stairs::before {
+  content: "\e289"; }
+
+.fa-i::before {
+  content: "\49"; }
+
+.fa-hryvnia-sign::before {
+  content: "\f6f2"; }
+
+.fa-hryvnia::before {
+  content: "\f6f2"; }
+
+.fa-pills::before {
+  content: "\f484"; }
+
+.fa-face-grin-wide::before {
+  content: "\f581"; }
+
+.fa-grin-alt::before {
+  content: "\f581"; }
+
+.fa-tooth::before {
+  content: "\f5c9"; }
+
+.fa-v::before {
+  content: "\56"; }
+
+.fa-bangladeshi-taka-sign::before {
+  content: "\e2e6"; }
+
+.fa-bicycle::before {
+  content: "\f206"; }
+
+.fa-staff-snake::before {
+  content: "\e579"; }
+
+.fa-rod-asclepius::before {
+  content: "\e579"; }
+
+.fa-rod-snake::before {
+  content: "\e579"; }
+
+.fa-staff-aesculapius::before {
+  content: "\e579"; }
+
+.fa-head-side-cough-slash::before {
+  content: "\e062"; }
+
+.fa-truck-medical::before {
+  content: "\f0f9"; }
+
+.fa-ambulance::before {
+  content: "\f0f9"; }
+
+.fa-wheat-awn-circle-exclamation::before {
+  content: "\e598"; }
+
+.fa-snowman::before {
+  content: "\f7d0"; }
+
+.fa-mortar-pestle::before {
+  content: "\f5a7"; }
+
+.fa-road-barrier::before {
+  content: "\e562"; }
+
+.fa-school::before {
+  content: "\f549"; }
+
+.fa-igloo::before {
+  content: "\f7ae"; }
+
+.fa-joint::before {
+  content: "\f595"; }
+
+.fa-angle-right::before {
+  content: "\f105"; }
+
+.fa-horse::before {
+  content: "\f6f0"; }
+
+.fa-q::before {
+  content: "\51"; }
+
+.fa-g::before {
+  content: "\47"; }
+
+.fa-notes-medical::before {
+  content: "\f481"; }
+
+.fa-temperature-half::before {
+  content: "\f2c9"; }
+
+.fa-temperature-2::before {
+  content: "\f2c9"; }
+
+.fa-thermometer-2::before {
+  content: "\f2c9"; }
+
+.fa-thermometer-half::before {
+  content: "\f2c9"; }
+
+.fa-dong-sign::before {
+  content: "\e169"; }
+
+.fa-capsules::before {
+  content: "\f46b"; }
+
+.fa-poo-storm::before {
+  content: "\f75a"; }
+
+.fa-poo-bolt::before {
+  content: "\f75a"; }
+
+.fa-face-frown-open::before {
+  content: "\f57a"; }
+
+.fa-frown-open::before {
+  content: "\f57a"; }
+
+.fa-hand-point-up::before {
+  content: "\f0a6"; }
+
+.fa-money-bill::before {
+  content: "\f0d6"; }
+
+.fa-bookmark::before {
+  content: "\f02e"; }
+
+.fa-align-justify::before {
+  content: "\f039"; }
+
+.fa-umbrella-beach::before {
+  content: "\f5ca"; }
+
+.fa-helmet-un::before {
+  content: "\e503"; }
+
+.fa-bullseye::before {
+  content: "\f140"; }
+
+.fa-bacon::before {
+  content: "\f7e5"; }
+
+.fa-hand-point-down::before {
+  content: "\f0a7"; }
+
+.fa-arrow-up-from-bracket::before {
+  content: "\e09a"; }
+
+.fa-folder::before {
+  content: "\f07b"; }
+
+.fa-folder-blank::before {
+  content: "\f07b"; }
+
+.fa-file-waveform::before {
+  content: "\f478"; }
+
+.fa-file-medical-alt::before {
+  content: "\f478"; }
+
+.fa-radiation::before {
+  content: "\f7b9"; }
+
+.fa-chart-simple::before {
+  content: "\e473"; }
+
+.fa-mars-stroke::before {
+  content: "\f229"; }
+
+.fa-vial::before {
+  content: "\f492"; }
+
+.fa-gauge::before {
+  content: "\f624"; }
+
+.fa-dashboard::before {
+  content: "\f624"; }
+
+.fa-gauge-med::before {
+  content: "\f624"; }
+
+.fa-tachometer-alt-average::before {
+  content: "\f624"; }
+
+.fa-wand-magic-sparkles::before {
+  content: "\e2ca"; }
+
+.fa-magic-wand-sparkles::before {
+  content: "\e2ca"; }
+
+.fa-e::before {
+  content: "\45"; }
+
+.fa-pen-clip::before {
+  content: "\f305"; }
+
+.fa-pen-alt::before {
+  content: "\f305"; }
+
+.fa-bridge-circle-exclamation::before {
+  content: "\e4ca"; }
+
+.fa-user::before {
+  content: "\f007"; }
+
+.fa-school-circle-check::before {
+  content: "\e56b"; }
+
+.fa-dumpster::before {
+  content: "\f793"; }
+
+.fa-van-shuttle::before {
+  content: "\f5b6"; }
+
+.fa-shuttle-van::before {
+  content: "\f5b6"; }
+
+.fa-building-user::before {
+  content: "\e4da"; }
+
+.fa-square-caret-left::before {
+  content: "\f191"; }
+
+.fa-caret-square-left::before {
+  content: "\f191"; }
+
+.fa-highlighter::before {
+  content: "\f591"; }
+
+.fa-key::before {
+  content: "\f084"; }
+
+.fa-bullhorn::before {
+  content: "\f0a1"; }
+
+.fa-globe::before {
+  content: "\f0ac"; }
+
+.fa-synagogue::before {
+  content: "\f69b"; }
+
+.fa-person-half-dress::before {
+  content: "\e548"; }
+
+.fa-road-bridge::before {
+  content: "\e563"; }
+
+.fa-location-arrow::before {
+  content: "\f124"; }
+
+.fa-c::before {
+  content: "\43"; }
+
+.fa-tablet-button::before {
+  content: "\f10a"; }
+
+.fa-building-lock::before {
+  content: "\e4d6"; }
+
+.fa-pizza-slice::before {
+  content: "\f818"; }
+
+.fa-money-bill-wave::before {
+  content: "\f53a"; }
+
+.fa-chart-area::before {
+  content: "\f1fe"; }
+
+.fa-area-chart::before {
+  content: "\f1fe"; }
+
+.fa-house-flag::before {
+  content: "\e50d"; }
+
+.fa-person-circle-minus::before {
+  content: "\e540"; }
+
+.fa-ban::before {
+  content: "\f05e"; }
+
+.fa-cancel::before {
+  content: "\f05e"; }
+
+.fa-camera-rotate::before {
+  content: "\e0d8"; }
+
+.fa-spray-can-sparkles::before {
+  content: "\f5d0"; }
+
+.fa-air-freshener::before {
+  content: "\f5d0"; }
+
+.fa-star::before {
+  content: "\f005"; }
+
+.fa-repeat::before {
+  content: "\f363"; }
+
+.fa-cross::before {
+  content: "\f654"; }
+
+.fa-box::before {
+  content: "\f466"; }
+
+.fa-venus-mars::before {
+  content: "\f228"; }
+
+.fa-arrow-pointer::before {
+  content: "\f245"; }
+
+.fa-mouse-pointer::before {
+  content: "\f245"; }
+
+.fa-maximize::before {
+  content: "\f31e"; }
+
+.fa-expand-arrows-alt::before {
+  content: "\f31e"; }
+
+.fa-charging-station::before {
+  content: "\f5e7"; }
+
+.fa-shapes::before {
+  content: "\f61f"; }
+
+.fa-triangle-circle-square::before {
+  content: "\f61f"; }
+
+.fa-shuffle::before {
+  content: "\f074"; }
+
+.fa-random::before {
+  content: "\f074"; }
+
+.fa-person-running::before {
+  content: "\f70c"; }
+
+.fa-running::before {
+  content: "\f70c"; }
+
+.fa-mobile-retro::before {
+  content: "\e527"; }
+
+.fa-grip-lines-vertical::before {
+  content: "\f7a5"; }
+
+.fa-spider::before {
+  content: "\f717"; }
+
+.fa-hands-bound::before {
+  content: "\e4f9"; }
+
+.fa-file-invoice-dollar::before {
+  content: "\f571"; }
+
+.fa-plane-circle-exclamation::before {
+  content: "\e556"; }
+
+.fa-x-ray::before {
+  content: "\f497"; }
+
+.fa-spell-check::before {
+  content: "\f891"; }
+
+.fa-slash::before {
+  content: "\f715"; }
+
+.fa-computer-mouse::before {
+  content: "\f8cc"; }
+
+.fa-mouse::before {
+  content: "\f8cc"; }
+
+.fa-arrow-right-to-bracket::before {
+  content: "\f090"; }
+
+.fa-sign-in::before {
+  content: "\f090"; }
+
+.fa-shop-slash::before {
+  content: "\e070"; }
+
+.fa-store-alt-slash::before {
+  content: "\e070"; }
+
+.fa-server::before {
+  content: "\f233"; }
+
+.fa-virus-covid-slash::before {
+  content: "\e4a9"; }
+
+.fa-shop-lock::before {
+  content: "\e4a5"; }
+
+.fa-hourglass-start::before {
+  content: "\f251"; }
+
+.fa-hourglass-1::before {
+  content: "\f251"; }
+
+.fa-blender-phone::before {
+  content: "\f6b6"; }
+
+.fa-building-wheat::before {
+  content: "\e4db"; }
+
+.fa-person-breastfeeding::before {
+  content: "\e53a"; }
+
+.fa-right-to-bracket::before {
+  content: "\f2f6"; }
+
+.fa-sign-in-alt::before {
+  content: "\f2f6"; }
+
+.fa-venus::before {
+  content: "\f221"; }
+
+.fa-passport::before {
+  content: "\f5ab"; }
+
+.fa-heart-pulse::before {
+  content: "\f21e"; }
+
+.fa-heartbeat::before {
+  content: "\f21e"; }
+
+.fa-people-carry-box::before {
+  content: "\f4ce"; }
+
+.fa-people-carry::before {
+  content: "\f4ce"; }
+
+.fa-temperature-high::before {
+  content: "\f769"; }
+
+.fa-microchip::before {
+  content: "\f2db"; }
+
+.fa-crown::before {
+  content: "\f521"; }
+
+.fa-weight-hanging::before {
+  content: "\f5cd"; }
+
+.fa-xmarks-lines::before {
+  content: "\e59a"; }
+
+.fa-file-prescription::before {
+  content: "\f572"; }
+
+.fa-weight-scale::before {
+  content: "\f496"; }
+
+.fa-weight::before {
+  content: "\f496"; }
+
+.fa-user-group::before {
+  content: "\f500"; }
+
+.fa-user-friends::before {
+  content: "\f500"; }
+
+.fa-arrow-up-a-z::before {
+  content: "\f15e"; }
+
+.fa-sort-alpha-up::before {
+  content: "\f15e"; }
+
+.fa-chess-knight::before {
+  content: "\f441"; }
+
+.fa-face-laugh-squint::before {
+  content: "\f59b"; }
+
+.fa-laugh-squint::before {
+  content: "\f59b"; }
+
+.fa-wheelchair::before {
+  content: "\f193"; }
+
+.fa-circle-arrow-up::before {
+  content: "\f0aa"; }
+
+.fa-arrow-circle-up::before {
+  content: "\f0aa"; }
+
+.fa-toggle-on::before {
+  content: "\f205"; }
+
+.fa-person-walking::before {
+  content: "\f554"; }
+
+.fa-walking::before {
+  content: "\f554"; }
+
+.fa-l::before {
+  content: "\4c"; }
+
+.fa-fire::before {
+  content: "\f06d"; }
+
+.fa-bed-pulse::before {
+  content: "\f487"; }
+
+.fa-procedures::before {
+  content: "\f487"; }
+
+.fa-shuttle-space::before {
+  content: "\f197"; }
+
+.fa-space-shuttle::before {
+  content: "\f197"; }
+
+.fa-face-laugh::before {
+  content: "\f599"; }
+
+.fa-laugh::before {
+  content: "\f599"; }
+
+.fa-folder-open::before {
+  content: "\f07c"; }
+
+.fa-heart-circle-plus::before {
+  content: "\e500"; }
+
+.fa-code-fork::before {
+  content: "\e13b"; }
+
+.fa-city::before {
+  content: "\f64f"; }
+
+.fa-microphone-lines::before {
+  content: "\f3c9"; }
+
+.fa-microphone-alt::before {
+  content: "\f3c9"; }
+
+.fa-pepper-hot::before {
+  content: "\f816"; }
+
+.fa-unlock::before {
+  content: "\f09c"; }
+
+.fa-colon-sign::before {
+  content: "\e140"; }
+
+.fa-headset::before {
+  content: "\f590"; }
+
+.fa-store-slash::before {
+  content: "\e071"; }
+
+.fa-road-circle-xmark::before {
+  content: "\e566"; }
+
+.fa-user-minus::before {
+  content: "\f503"; }
+
+.fa-mars-stroke-up::before {
+  content: "\f22a"; }
+
+.fa-mars-stroke-v::before {
+  content: "\f22a"; }
+
+.fa-champagne-glasses::before {
+  content: "\f79f"; }
+
+.fa-glass-cheers::before {
+  content: "\f79f"; }
+
+.fa-clipboard::before {
+  content: "\f328"; }
+
+.fa-house-circle-exclamation::before {
+  content: "\e50a"; }
+
+.fa-file-arrow-up::before {
+  content: "\f574"; }
+
+.fa-file-upload::before {
+  content: "\f574"; }
+
+.fa-wifi::before {
+  content: "\f1eb"; }
+
+.fa-wifi-3::before {
+  content: "\f1eb"; }
+
+.fa-wifi-strong::before {
+  content: "\f1eb"; }
+
+.fa-bath::before {
+  content: "\f2cd"; }
+
+.fa-bathtub::before {
+  content: "\f2cd"; }
+
+.fa-underline::before {
+  content: "\f0cd"; }
+
+.fa-user-pen::before {
+  content: "\f4ff"; }
+
+.fa-user-edit::before {
+  content: "\f4ff"; }
+
+.fa-signature::before {
+  content: "\f5b7"; }
+
+.fa-stroopwafel::before {
+  content: "\f551"; }
+
+.fa-bold::before {
+  content: "\f032"; }
+
+.fa-anchor-lock::before {
+  content: "\e4ad"; }
+
+.fa-building-ngo::before {
+  content: "\e4d7"; }
+
+.fa-manat-sign::before {
+  content: "\e1d5"; }
+
+.fa-not-equal::before {
+  content: "\f53e"; }
+
+.fa-border-top-left::before {
+  content: "\f853"; }
+
+.fa-border-style::before {
+  content: "\f853"; }
+
+.fa-map-location-dot::before {
+  content: "\f5a0"; }
+
+.fa-map-marked-alt::before {
+  content: "\f5a0"; }
+
+.fa-jedi::before {
+  content: "\f669"; }
+
+.fa-square-poll-vertical::before {
+  content: "\f681"; }
+
+.fa-poll::before {
+  content: "\f681"; }
+
+.fa-mug-hot::before {
+  content: "\f7b6"; }
+
+.fa-car-battery::before {
+  content: "\f5df"; }
+
+.fa-battery-car::before {
+  content: "\f5df"; }
+
+.fa-gift::before {
+  content: "\f06b"; }
+
+.fa-dice-two::before {
+  content: "\f528"; }
+
+.fa-chess-queen::before {
+  content: "\f445"; }
+
+.fa-glasses::before {
+  content: "\f530"; }
+
+.fa-chess-board::before {
+  content: "\f43c"; }
+
+.fa-building-circle-check::before {
+  content: "\e4d2"; }
+
+.fa-person-chalkboard::before {
+  content: "\e53d"; }
+
+.fa-mars-stroke-right::before {
+  content: "\f22b"; }
+
+.fa-mars-stroke-h::before {
+  content: "\f22b"; }
+
+.fa-hand-back-fist::before {
+  content: "\f255"; }
+
+.fa-hand-rock::before {
+  content: "\f255"; }
+
+.fa-square-caret-up::before {
+  content: "\f151"; }
+
+.fa-caret-square-up::before {
+  content: "\f151"; }
+
+.fa-cloud-showers-water::before {
+  content: "\e4e4"; }
+
+.fa-chart-bar::before {
+  content: "\f080"; }
+
+.fa-bar-chart::before {
+  content: "\f080"; }
+
+.fa-hands-bubbles::before {
+  content: "\e05e"; }
+
+.fa-hands-wash::before {
+  content: "\e05e"; }
+
+.fa-less-than-equal::before {
+  content: "\f537"; }
+
+.fa-train::before {
+  content: "\f238"; }
+
+.fa-eye-low-vision::before {
+  content: "\f2a8"; }
+
+.fa-low-vision::before {
+  content: "\f2a8"; }
+
+.fa-crow::before {
+  content: "\f520"; }
+
+.fa-sailboat::before {
+  content: "\e445"; }
+
+.fa-window-restore::before {
+  content: "\f2d2"; }
+
+.fa-square-plus::before {
+  content: "\f0fe"; }
+
+.fa-plus-square::before {
+  content: "\f0fe"; }
+
+.fa-torii-gate::before {
+  content: "\f6a1"; }
+
+.fa-frog::before {
+  content: "\f52e"; }
+
+.fa-bucket::before {
+  content: "\e4cf"; }
+
+.fa-image::before {
+  content: "\f03e"; }
+
+.fa-microphone::before {
+  content: "\f130"; }
+
+.fa-cow::before {
+  content: "\f6c8"; }
+
+.fa-caret-up::before {
+  content: "\f0d8"; }
+
+.fa-screwdriver::before {
+  content: "\f54a"; }
+
+.fa-folder-closed::before {
+  content: "\e185"; }
+
+.fa-house-tsunami::before {
+  content: "\e515"; }
+
+.fa-square-nfi::before {
+  content: "\e576"; }
+
+.fa-arrow-up-from-ground-water::before {
+  content: "\e4b5"; }
+
+.fa-martini-glass::before {
+  content: "\f57b"; }
+
+.fa-glass-martini-alt::before {
+  content: "\f57b"; }
+
+.fa-rotate-left::before {
+  content: "\f2ea"; }
+
+.fa-rotate-back::before {
+  content: "\f2ea"; }
+
+.fa-rotate-backward::before {
+  content: "\f2ea"; }
+
+.fa-undo-alt::before {
+  content: "\f2ea"; }
+
+.fa-table-columns::before {
+  content: "\f0db"; }
+
+.fa-columns::before {
+  content: "\f0db"; }
+
+.fa-lemon::before {
+  content: "\f094"; }
+
+.fa-head-side-mask::before {
+  content: "\e063"; }
+
+.fa-handshake::before {
+  content: "\f2b5"; }
+
+.fa-gem::before {
+  content: "\f3a5"; }
+
+.fa-dolly::before {
+  content: "\f472"; }
+
+.fa-dolly-box::before {
+  content: "\f472"; }
+
+.fa-smoking::before {
+  content: "\f48d"; }
+
+.fa-minimize::before {
+  content: "\f78c"; }
+
+.fa-compress-arrows-alt::before {
+  content: "\f78c"; }
+
+.fa-monument::before {
+  content: "\f5a6"; }
+
+.fa-snowplow::before {
+  content: "\f7d2"; }
+
+.fa-angles-right::before {
+  content: "\f101"; }
+
+.fa-angle-double-right::before {
+  content: "\f101"; }
+
+.fa-cannabis::before {
+  content: "\f55f"; }
+
+.fa-circle-play::before {
+  content: "\f144"; }
+
+.fa-play-circle::before {
+  content: "\f144"; }
+
+.fa-tablets::before {
+  content: "\f490"; }
+
+.fa-ethernet::before {
+  content: "\f796"; }
+
+.fa-euro-sign::before {
+  content: "\f153"; }
+
+.fa-eur::before {
+  content: "\f153"; }
+
+.fa-euro::before {
+  content: "\f153"; }
+
+.fa-chair::before {
+  content: "\f6c0"; }
+
+.fa-circle-check::before {
+  content: "\f058"; }
+
+.fa-check-circle::before {
+  content: "\f058"; }
+
+.fa-circle-stop::before {
+  content: "\f28d"; }
+
+.fa-stop-circle::before {
+  content: "\f28d"; }
+
+.fa-compass-drafting::before {
+  content: "\f568"; }
+
+.fa-drafting-compass::before {
+  content: "\f568"; }
+
+.fa-plate-wheat::before {
+  content: "\e55a"; }
+
+.fa-icicles::before {
+  content: "\f7ad"; }
+
+.fa-person-shelter::before {
+  content: "\e54f"; }
+
+.fa-neuter::before {
+  content: "\f22c"; }
+
+.fa-id-badge::before {
+  content: "\f2c1"; }
+
+.fa-marker::before {
+  content: "\f5a1"; }
+
+.fa-face-laugh-beam::before {
+  content: "\f59a"; }
+
+.fa-laugh-beam::before {
+  content: "\f59a"; }
+
+.fa-helicopter-symbol::before {
+  content: "\e502"; }
+
+.fa-universal-access::before {
+  content: "\f29a"; }
+
+.fa-circle-chevron-up::before {
+  content: "\f139"; }
+
+.fa-chevron-circle-up::before {
+  content: "\f139"; }
+
+.fa-lari-sign::before {
+  content: "\e1c8"; }
+
+.fa-volcano::before {
+  content: "\f770"; }
+
+.fa-person-walking-dashed-line-arrow-right::before {
+  content: "\e553"; }
+
+.fa-sterling-sign::before {
+  content: "\f154"; }
+
+.fa-gbp::before {
+  content: "\f154"; }
+
+.fa-pound-sign::before {
+  content: "\f154"; }
+
+.fa-viruses::before {
+  content: "\e076"; }
+
+.fa-square-person-confined::before {
+  content: "\e577"; }
+
+.fa-user-tie::before {
+  content: "\f508"; }
+
+.fa-arrow-down-long::before {
+  content: "\f175"; }
+
+.fa-long-arrow-down::before {
+  content: "\f175"; }
+
+.fa-tent-arrow-down-to-line::before {
+  content: "\e57e"; }
+
+.fa-certificate::before {
+  content: "\f0a3"; }
+
+.fa-reply-all::before {
+  content: "\f122"; }
+
+.fa-mail-reply-all::before {
+  content: "\f122"; }
+
+.fa-suitcase::before {
+  content: "\f0f2"; }
+
+.fa-person-skating::before {
+  content: "\f7c5"; }
+
+.fa-skating::before {
+  content: "\f7c5"; }
+
+.fa-filter-circle-dollar::before {
+  content: "\f662"; }
+
+.fa-funnel-dollar::before {
+  content: "\f662"; }
+
+.fa-camera-retro::before {
+  content: "\f083"; }
+
+.fa-circle-arrow-down::before {
+  content: "\f0ab"; }
+
+.fa-arrow-circle-down::before {
+  content: "\f0ab"; }
+
+.fa-file-import::before {
+  content: "\f56f"; }
+
+.fa-arrow-right-to-file::before {
+  content: "\f56f"; }
+
+.fa-square-arrow-up-right::before {
+  content: "\f14c"; }
+
+.fa-external-link-square::before {
+  content: "\f14c"; }
+
+.fa-box-open::before {
+  content: "\f49e"; }
+
+.fa-scroll::before {
+  content: "\f70e"; }
+
+.fa-spa::before {
+  content: "\f5bb"; }
+
+.fa-location-pin-lock::before {
+  content: "\e51f"; }
+
+.fa-pause::before {
+  content: "\f04c"; }
+
+.fa-hill-avalanche::before {
+  content: "\e507"; }
+
+.fa-temperature-empty::before {
+  content: "\f2cb"; }
+
+.fa-temperature-0::before {
+  content: "\f2cb"; }
+
+.fa-thermometer-0::before {
+  content: "\f2cb"; }
+
+.fa-thermometer-empty::before {
+  content: "\f2cb"; }
+
+.fa-bomb::before {
+  content: "\f1e2"; }
+
+.fa-registered::before {
+  content: "\f25d"; }
+
+.fa-address-card::before {
+  content: "\f2bb"; }
+
+.fa-contact-card::before {
+  content: "\f2bb"; }
+
+.fa-vcard::before {
+  content: "\f2bb"; }
+
+.fa-scale-unbalanced-flip::before {
+  content: "\f516"; }
+
+.fa-balance-scale-right::before {
+  content: "\f516"; }
+
+.fa-subscript::before {
+  content: "\f12c"; }
+
+.fa-diamond-turn-right::before {
+  content: "\f5eb"; }
+
+.fa-directions::before {
+  content: "\f5eb"; }
+
+.fa-burst::before {
+  content: "\e4dc"; }
+
+.fa-house-laptop::before {
+  content: "\e066"; }
+
+.fa-laptop-house::before {
+  content: "\e066"; }
+
+.fa-face-tired::before {
+  content: "\f5c8"; }
+
+.fa-tired::before {
+  content: "\f5c8"; }
+
+.fa-money-bills::before {
+  content: "\e1f3"; }
+
+.fa-smog::before {
+  content: "\f75f"; }
+
+.fa-crutch::before {
+  content: "\f7f7"; }
+
+.fa-cloud-arrow-up::before {
+  content: "\f0ee"; }
+
+.fa-cloud-upload::before {
+  content: "\f0ee"; }
+
+.fa-cloud-upload-alt::before {
+  content: "\f0ee"; }
+
+.fa-palette::before {
+  content: "\f53f"; }
+
+.fa-arrows-turn-right::before {
+  content: "\e4c0"; }
+
+.fa-vest::before {
+  content: "\e085"; }
+
+.fa-ferry::before {
+  content: "\e4ea"; }
+
+.fa-arrows-down-to-people::before {
+  content: "\e4b9"; }
+
+.fa-seedling::before {
+  content: "\f4d8"; }
+
+.fa-sprout::before {
+  content: "\f4d8"; }
+
+.fa-left-right::before {
+  content: "\f337"; }
+
+.fa-arrows-alt-h::before {
+  content: "\f337"; }
+
+.fa-boxes-packing::before {
+  content: "\e4c7"; }
+
+.fa-circle-arrow-left::before {
+  content: "\f0a8"; }
+
+.fa-arrow-circle-left::before {
+  content: "\f0a8"; }
+
+.fa-group-arrows-rotate::before {
+  content: "\e4f6"; }
+
+.fa-bowl-food::before {
+  content: "\e4c6"; }
+
+.fa-candy-cane::before {
+  content: "\f786"; }
+
+.fa-arrow-down-wide-short::before {
+  content: "\f160"; }
+
+.fa-sort-amount-asc::before {
+  content: "\f160"; }
+
+.fa-sort-amount-down::before {
+  content: "\f160"; }
+
+.fa-cloud-bolt::before {
+  content: "\f76c"; }
+
+.fa-thunderstorm::before {
+  content: "\f76c"; }
+
+.fa-text-slash::before {
+  content: "\f87d"; }
+
+.fa-remove-format::before {
+  content: "\f87d"; }
+
+.fa-face-smile-wink::before {
+  content: "\f4da"; }
+
+.fa-smile-wink::before {
+  content: "\f4da"; }
+
+.fa-file-word::before {
+  content: "\f1c2"; }
+
+.fa-file-powerpoint::before {
+  content: "\f1c4"; }
+
+.fa-arrows-left-right::before {
+  content: "\f07e"; }
+
+.fa-arrows-h::before {
+  content: "\f07e"; }
+
+.fa-house-lock::before {
+  content: "\e510"; }
+
+.fa-cloud-arrow-down::before {
+  content: "\f0ed"; }
+
+.fa-cloud-download::before {
+  content: "\f0ed"; }
+
+.fa-cloud-download-alt::before {
+  content: "\f0ed"; }
+
+.fa-children::before {
+  content: "\e4e1"; }
+
+.fa-chalkboard::before {
+  content: "\f51b"; }
+
+.fa-blackboard::before {
+  content: "\f51b"; }
+
+.fa-user-large-slash::before {
+  content: "\f4fa"; }
+
+.fa-user-alt-slash::before {
+  content: "\f4fa"; }
+
+.fa-envelope-open::before {
+  content: "\f2b6"; }
+
+.fa-handshake-simple-slash::before {
+  content: "\e05f"; }
+
+.fa-handshake-alt-slash::before {
+  content: "\e05f"; }
+
+.fa-mattress-pillow::before {
+  content: "\e525"; }
+
+.fa-guarani-sign::before {
+  content: "\e19a"; }
+
+.fa-arrows-rotate::before {
+  content: "\f021"; }
+
+.fa-refresh::before {
+  content: "\f021"; }
+
+.fa-sync::before {
+  content: "\f021"; }
+
+.fa-fire-extinguisher::before {
+  content: "\f134"; }
+
+.fa-cruzeiro-sign::before {
+  content: "\e152"; }
+
+.fa-greater-than-equal::before {
+  content: "\f532"; }
+
+.fa-shield-halved::before {
+  content: "\f3ed"; }
+
+.fa-shield-alt::before {
+  content: "\f3ed"; }
+
+.fa-book-atlas::before {
+  content: "\f558"; }
+
+.fa-atlas::before {
+  content: "\f558"; }
+
+.fa-virus::before {
+  content: "\e074"; }
+
+.fa-envelope-circle-check::before {
+  content: "\e4e8"; }
+
+.fa-layer-group::before {
+  content: "\f5fd"; }
+
+.fa-arrows-to-dot::before {
+  content: "\e4be"; }
+
+.fa-archway::before {
+  content: "\f557"; }
+
+.fa-heart-circle-check::before {
+  content: "\e4fd"; }
+
+.fa-house-chimney-crack::before {
+  content: "\f6f1"; }
+
+.fa-house-damage::before {
+  content: "\f6f1"; }
+
+.fa-file-zipper::before {
+  content: "\f1c6"; }
+
+.fa-file-archive::before {
+  content: "\f1c6"; }
+
+.fa-square::before {
+  content: "\f0c8"; }
+
+.fa-martini-glass-empty::before {
+  content: "\f000"; }
+
+.fa-glass-martini::before {
+  content: "\f000"; }
+
+.fa-couch::before {
+  content: "\f4b8"; }
+
+.fa-cedi-sign::before {
+  content: "\e0df"; }
+
+.fa-italic::before {
+  content: "\f033"; }
+
+.fa-church::before {
+  content: "\f51d"; }
+
+.fa-comments-dollar::before {
+  content: "\f653"; }
+
+.fa-democrat::before {
+  content: "\f747"; }
+
+.fa-z::before {
+  content: "\5a"; }
+
+.fa-person-skiing::before {
+  content: "\f7c9"; }
+
+.fa-skiing::before {
+  content: "\f7c9"; }
+
+.fa-road-lock::before {
+  content: "\e567"; }
+
+.fa-a::before {
+  content: "\41"; }
+
+.fa-temperature-arrow-down::before {
+  content: "\e03f"; }
+
+.fa-temperature-down::before {
+  content: "\e03f"; }
+
+.fa-feather-pointed::before {
+  content: "\f56b"; }
+
+.fa-feather-alt::before {
+  content: "\f56b"; }
+
+.fa-p::before {
+  content: "\50"; }
+
+.fa-snowflake::before {
+  content: "\f2dc"; }
+
+.fa-newspaper::before {
+  content: "\f1ea"; }
+
+.fa-rectangle-ad::before {
+  content: "\f641"; }
+
+.fa-ad::before {
+  content: "\f641"; }
+
+.fa-circle-arrow-right::before {
+  content: "\f0a9"; }
+
+.fa-arrow-circle-right::before {
+  content: "\f0a9"; }
+
+.fa-filter-circle-xmark::before {
+  content: "\e17b"; }
+
+.fa-locust::before {
+  content: "\e520"; }
+
+.fa-sort::before {
+  content: "\f0dc"; }
+
+.fa-unsorted::before {
+  content: "\f0dc"; }
+
+.fa-list-ol::before {
+  content: "\f0cb"; }
+
+.fa-list-1-2::before {
+  content: "\f0cb"; }
+
+.fa-list-numeric::before {
+  content: "\f0cb"; }
+
+.fa-person-dress-burst::before {
+  content: "\e544"; }
+
+.fa-money-check-dollar::before {
+  content: "\f53d"; }
+
+.fa-money-check-alt::before {
+  content: "\f53d"; }
+
+.fa-vector-square::before {
+  content: "\f5cb"; }
+
+.fa-bread-slice::before {
+  content: "\f7ec"; }
+
+.fa-language::before {
+  content: "\f1ab"; }
+
+.fa-face-kiss-wink-heart::before {
+  content: "\f598"; }
+
+.fa-kiss-wink-heart::before {
+  content: "\f598"; }
+
+.fa-filter::before {
+  content: "\f0b0"; }
+
+.fa-question::before {
+  content: "\3f"; }
+
+.fa-file-signature::before {
+  content: "\f573"; }
+
+.fa-up-down-left-right::before {
+  content: "\f0b2"; }
+
+.fa-arrows-alt::before {
+  content: "\f0b2"; }
+
+.fa-house-chimney-user::before {
+  content: "\e065"; }
+
+.fa-hand-holding-heart::before {
+  content: "\f4be"; }
+
+.fa-puzzle-piece::before {
+  content: "\f12e"; }
+
+.fa-money-check::before {
+  content: "\f53c"; }
+
+.fa-star-half-stroke::before {
+  content: "\f5c0"; }
+
+.fa-star-half-alt::before {
+  content: "\f5c0"; }
+
+.fa-code::before {
+  content: "\f121"; }
+
+.fa-whiskey-glass::before {
+  content: "\f7a0"; }
+
+.fa-glass-whiskey::before {
+  content: "\f7a0"; }
+
+.fa-building-circle-exclamation::before {
+  content: "\e4d3"; }
+
+.fa-magnifying-glass-chart::before {
+  content: "\e522"; }
+
+.fa-arrow-up-right-from-square::before {
+  content: "\f08e"; }
+
+.fa-external-link::before {
+  content: "\f08e"; }
+
+.fa-cubes-stacked::before {
+  content: "\e4e6"; }
+
+.fa-won-sign::before {
+  content: "\f159"; }
+
+.fa-krw::before {
+  content: "\f159"; }
+
+.fa-won::before {
+  content: "\f159"; }
+
+.fa-virus-covid::before {
+  content: "\e4a8"; }
+
+.fa-austral-sign::before {
+  content: "\e0a9"; }
+
+.fa-f::before {
+  content: "\46"; }
+
+.fa-leaf::before {
+  content: "\f06c"; }
+
+.fa-road::before {
+  content: "\f018"; }
+
+.fa-taxi::before {
+  content: "\f1ba"; }
+
+.fa-cab::before {
+  content: "\f1ba"; }
+
+.fa-person-circle-plus::before {
+  content: "\e541"; }
+
+.fa-chart-pie::before {
+  content: "\f200"; }
+
+.fa-pie-chart::before {
+  content: "\f200"; }
+
+.fa-bolt-lightning::before {
+  content: "\e0b7"; }
+
+.fa-sack-xmark::before {
+  content: "\e56a"; }
+
+.fa-file-excel::before {
+  content: "\f1c3"; }
+
+.fa-file-contract::before {
+  content: "\f56c"; }
+
+.fa-fish-fins::before {
+  content: "\e4f2"; }
+
+.fa-building-flag::before {
+  content: "\e4d5"; }
+
+.fa-face-grin-beam::before {
+  content: "\f582"; }
+
+.fa-grin-beam::before {
+  content: "\f582"; }
+
+.fa-object-ungroup::before {
+  content: "\f248"; }
+
+.fa-poop::before {
+  content: "\f619"; }
+
+.fa-location-pin::before {
+  content: "\f041"; }
+
+.fa-map-marker::before {
+  content: "\f041"; }
+
+.fa-kaaba::before {
+  content: "\f66b"; }
+
+.fa-toilet-paper::before {
+  content: "\f71e"; }
+
+.fa-helmet-safety::before {
+  content: "\f807"; }
+
+.fa-hard-hat::before {
+  content: "\f807"; }
+
+.fa-hat-hard::before {
+  content: "\f807"; }
+
+.fa-eject::before {
+  content: "\f052"; }
+
+.fa-circle-right::before {
+  content: "\f35a"; }
+
+.fa-arrow-alt-circle-right::before {
+  content: "\f35a"; }
+
+.fa-plane-circle-check::before {
+  content: "\e555"; }
+
+.fa-face-rolling-eyes::before {
+  content: "\f5a5"; }
+
+.fa-meh-rolling-eyes::before {
+  content: "\f5a5"; }
+
+.fa-object-group::before {
+  content: "\f247"; }
+
+.fa-chart-line::before {
+  content: "\f201"; }
+
+.fa-line-chart::before {
+  content: "\f201"; }
+
+.fa-mask-ventilator::before {
+  content: "\e524"; }
+
+.fa-arrow-right::before {
+  content: "\f061"; }
+
+.fa-signs-post::before {
+  content: "\f277"; }
+
+.fa-map-signs::before {
+  content: "\f277"; }
+
+.fa-cash-register::before {
+  content: "\f788"; }
+
+.fa-person-circle-question::before {
+  content: "\e542"; }
+
+.fa-h::before {
+  content: "\48"; }
+
+.fa-tarp::before {
+  content: "\e57b"; }
+
+.fa-screwdriver-wrench::before {
+  content: "\f7d9"; }
+
+.fa-tools::before {
+  content: "\f7d9"; }
+
+.fa-arrows-to-eye::before {
+  content: "\e4bf"; }
+
+.fa-plug-circle-bolt::before {
+  content: "\e55b"; }
+
+.fa-heart::before {
+  content: "\f004"; }
+
+.fa-mars-and-venus::before {
+  content: "\f224"; }
+
+.fa-house-user::before {
+  content: "\e1b0"; }
+
+.fa-home-user::before {
+  content: "\e1b0"; }
+
+.fa-dumpster-fire::before {
+  content: "\f794"; }
+
+.fa-house-crack::before {
+  content: "\e3b1"; }
+
+.fa-martini-glass-citrus::before {
+  content: "\f561"; }
+
+.fa-cocktail::before {
+  content: "\f561"; }
+
+.fa-face-surprise::before {
+  content: "\f5c2"; }
+
+.fa-surprise::before {
+  content: "\f5c2"; }
+
+.fa-bottle-water::before {
+  content: "\e4c5"; }
+
+.fa-circle-pause::before {
+  content: "\f28b"; }
+
+.fa-pause-circle::before {
+  content: "\f28b"; }
+
+.fa-toilet-paper-slash::before {
+  content: "\e072"; }
+
+.fa-apple-whole::before {
+  content: "\f5d1"; }
+
+.fa-apple-alt::before {
+  content: "\f5d1"; }
+
+.fa-kitchen-set::before {
+  content: "\e51a"; }
+
+.fa-r::before {
+  content: "\52"; }
+
+.fa-temperature-quarter::before {
+  content: "\f2ca"; }
+
+.fa-temperature-1::before {
+  content: "\f2ca"; }
+
+.fa-thermometer-1::before {
+  content: "\f2ca"; }
+
+.fa-thermometer-quarter::before {
+  content: "\f2ca"; }
+
+.fa-cube::before {
+  content: "\f1b2"; }
+
+.fa-bitcoin-sign::before {
+  content: "\e0b4"; }
+
+.fa-shield-dog::before {
+  content: "\e573"; }
+
+.fa-solar-panel::before {
+  content: "\f5ba"; }
+
+.fa-lock-open::before {
+  content: "\f3c1"; }
+
+.fa-elevator::before {
+  content: "\e16d"; }
+
+.fa-money-bill-transfer::before {
+  content: "\e528"; }
+
+.fa-money-bill-trend-up::before {
+  content: "\e529"; }
+
+.fa-house-flood-water-circle-arrow-right::before {
+  content: "\e50f"; }
+
+.fa-square-poll-horizontal::before {
+  content: "\f682"; }
+
+.fa-poll-h::before {
+  content: "\f682"; }
+
+.fa-circle::before {
+  content: "\f111"; }
+
+.fa-backward-fast::before {
+  content: "\f049"; }
+
+.fa-fast-backward::before {
+  content: "\f049"; }
+
+.fa-recycle::before {
+  content: "\f1b8"; }
+
+.fa-user-astronaut::before {
+  content: "\f4fb"; }
+
+.fa-plane-slash::before {
+  content: "\e069"; }
+
+.fa-trademark::before {
+  content: "\f25c"; }
+
+.fa-basketball::before {
+  content: "\f434"; }
+
+.fa-basketball-ball::before {
+  content: "\f434"; }
+
+.fa-satellite-dish::before {
+  content: "\f7c0"; }
+
+.fa-circle-up::before {
+  content: "\f35b"; }
+
+.fa-arrow-alt-circle-up::before {
+  content: "\f35b"; }
+
+.fa-mobile-screen-button::before {
+  content: "\f3cd"; }
+
+.fa-mobile-alt::before {
+  content: "\f3cd"; }
+
+.fa-volume-high::before {
+  content: "\f028"; }
+
+.fa-volume-up::before {
+  content: "\f028"; }
+
+.fa-users-rays::before {
+  content: "\e593"; }
+
+.fa-wallet::before {
+  content: "\f555"; }
+
+.fa-clipboard-check::before {
+  content: "\f46c"; }
+
+.fa-file-audio::before {
+  content: "\f1c7"; }
+
+.fa-burger::before {
+  content: "\f805"; }
+
+.fa-hamburger::before {
+  content: "\f805"; }
+
+.fa-wrench::before {
+  content: "\f0ad"; }
+
+.fa-bugs::before {
+  content: "\e4d0"; }
+
+.fa-rupee-sign::before {
+  content: "\f156"; }
+
+.fa-rupee::before {
+  content: "\f156"; }
+
+.fa-file-image::before {
+  content: "\f1c5"; }
+
+.fa-circle-question::before {
+  content: "\f059"; }
+
+.fa-question-circle::before {
+  content: "\f059"; }
+
+.fa-plane-departure::before {
+  content: "\f5b0"; }
+
+.fa-handshake-slash::before {
+  content: "\e060"; }
+
+.fa-book-bookmark::before {
+  content: "\e0bb"; }
+
+.fa-code-branch::before {
+  content: "\f126"; }
+
+.fa-hat-cowboy::before {
+  content: "\f8c0"; }
+
+.fa-bridge::before {
+  content: "\e4c8"; }
+
+.fa-phone-flip::before {
+  content: "\f879"; }
+
+.fa-phone-alt::before {
+  content: "\f879"; }
+
+.fa-truck-front::before {
+  content: "\e2b7"; }
+
+.fa-cat::before {
+  content: "\f6be"; }
+
+.fa-anchor-circle-exclamation::before {
+  content: "\e4ab"; }
+
+.fa-truck-field::before {
+  content: "\e58d"; }
+
+.fa-route::before {
+  content: "\f4d7"; }
+
+.fa-clipboard-question::before {
+  content: "\e4e3"; }
+
+.fa-panorama::before {
+  content: "\e209"; }
+
+.fa-comment-medical::before {
+  content: "\f7f5"; }
+
+.fa-teeth-open::before {
+  content: "\f62f"; }
+
+.fa-file-circle-minus::before {
+  content: "\e4ed"; }
+
+.fa-tags::before {
+  content: "\f02c"; }
+
+.fa-wine-glass::before {
+  content: "\f4e3"; }
+
+.fa-forward-fast::before {
+  content: "\f050"; }
+
+.fa-fast-forward::before {
+  content: "\f050"; }
+
+.fa-face-meh-blank::before {
+  content: "\f5a4"; }
+
+.fa-meh-blank::before {
+  content: "\f5a4"; }
+
+.fa-square-parking::before {
+  content: "\f540"; }
+
+.fa-parking::before {
+  content: "\f540"; }
+
+.fa-house-signal::before {
+  content: "\e012"; }
+
+.fa-bars-progress::before {
+  content: "\f828"; }
+
+.fa-tasks-alt::before {
+  content: "\f828"; }
+
+.fa-faucet-drip::before {
+  content: "\e006"; }
+
+.fa-cart-flatbed::before {
+  content: "\f474"; }
+
+.fa-dolly-flatbed::before {
+  content: "\f474"; }
+
+.fa-ban-smoking::before {
+  content: "\f54d"; }
+
+.fa-smoking-ban::before {
+  content: "\f54d"; }
+
+.fa-terminal::before {
+  content: "\f120"; }
+
+.fa-mobile-button::before {
+  content: "\f10b"; }
+
+.fa-house-medical-flag::before {
+  content: "\e514"; }
+
+.fa-basket-shopping::before {
+  content: "\f291"; }
+
+.fa-shopping-basket::before {
+  content: "\f291"; }
+
+.fa-tape::before {
+  content: "\f4db"; }
+
+.fa-bus-simple::before {
+  content: "\f55e"; }
+
+.fa-bus-alt::before {
+  content: "\f55e"; }
+
+.fa-eye::before {
+  content: "\f06e"; }
+
+.fa-face-sad-cry::before {
+  content: "\f5b3"; }
+
+.fa-sad-cry::before {
+  content: "\f5b3"; }
+
+.fa-audio-description::before {
+  content: "\f29e"; }
+
+.fa-person-military-to-person::before {
+  content: "\e54c"; }
+
+.fa-file-shield::before {
+  content: "\e4f0"; }
+
+.fa-user-slash::before {
+  content: "\f506"; }
+
+.fa-pen::before {
+  content: "\f304"; }
+
+.fa-tower-observation::before {
+  content: "\e586"; }
+
+.fa-file-code::before {
+  content: "\f1c9"; }
+
+.fa-signal::before {
+  content: "\f012"; }
+
+.fa-signal-5::before {
+  content: "\f012"; }
+
+.fa-signal-perfect::before {
+  content: "\f012"; }
+
+.fa-bus::before {
+  content: "\f207"; }
+
+.fa-heart-circle-xmark::before {
+  content: "\e501"; }
+
+.fa-house-chimney::before {
+  content: "\e3af"; }
+
+.fa-home-lg::before {
+  content: "\e3af"; }
+
+.fa-window-maximize::before {
+  content: "\f2d0"; }
+
+.fa-face-frown::before {
+  content: "\f119"; }
+
+.fa-frown::before {
+  content: "\f119"; }
+
+.fa-prescription::before {
+  content: "\f5b1"; }
+
+.fa-shop::before {
+  content: "\f54f"; }
+
+.fa-store-alt::before {
+  content: "\f54f"; }
+
+.fa-floppy-disk::before {
+  content: "\f0c7"; }
+
+.fa-save::before {
+  content: "\f0c7"; }
+
+.fa-vihara::before {
+  content: "\f6a7"; }
+
+.fa-scale-unbalanced::before {
+  content: "\f515"; }
+
+.fa-balance-scale-left::before {
+  content: "\f515"; }
+
+.fa-sort-up::before {
+  content: "\f0de"; }
+
+.fa-sort-asc::before {
+  content: "\f0de"; }
+
+.fa-comment-dots::before {
+  content: "\f4ad"; }
+
+.fa-commenting::before {
+  content: "\f4ad"; }
+
+.fa-plant-wilt::before {
+  content: "\e5aa"; }
+
+.fa-diamond::before {
+  content: "\f219"; }
+
+.fa-face-grin-squint::before {
+  content: "\f585"; }
+
+.fa-grin-squint::before {
+  content: "\f585"; }
+
+.fa-hand-holding-dollar::before {
+  content: "\f4c0"; }
+
+.fa-hand-holding-usd::before {
+  content: "\f4c0"; }
+
+.fa-bacterium::before {
+  content: "\e05a"; }
+
+.fa-hand-pointer::before {
+  content: "\f25a"; }
+
+.fa-drum-steelpan::before {
+  content: "\f56a"; }
+
+.fa-hand-scissors::before {
+  content: "\f257"; }
+
+.fa-hands-praying::before {
+  content: "\f684"; }
+
+.fa-praying-hands::before {
+  content: "\f684"; }
+
+.fa-arrow-rotate-right::before {
+  content: "\f01e"; }
+
+.fa-arrow-right-rotate::before {
+  content: "\f01e"; }
+
+.fa-arrow-rotate-forward::before {
+  content: "\f01e"; }
+
+.fa-redo::before {
+  content: "\f01e"; }
+
+.fa-biohazard::before {
+  content: "\f780"; }
+
+.fa-location-crosshairs::before {
+  content: "\f601"; }
+
+.fa-location::before {
+  content: "\f601"; }
+
+.fa-mars-double::before {
+  content: "\f227"; }
+
+.fa-child-dress::before {
+  content: "\e59c"; }
+
+.fa-users-between-lines::before {
+  content: "\e591"; }
+
+.fa-lungs-virus::before {
+  content: "\e067"; }
+
+.fa-face-grin-tears::before {
+  content: "\f588"; }
+
+.fa-grin-tears::before {
+  content: "\f588"; }
+
+.fa-phone::before {
+  content: "\f095"; }
+
+.fa-calendar-xmark::before {
+  content: "\f273"; }
+
+.fa-calendar-times::before {
+  content: "\f273"; }
+
+.fa-child-reaching::before {
+  content: "\e59d"; }
+
+.fa-head-side-virus::before {
+  content: "\e064"; }
+
+.fa-user-gear::before {
+  content: "\f4fe"; }
+
+.fa-user-cog::before {
+  content: "\f4fe"; }
+
+.fa-arrow-up-1-9::before {
+  content: "\f163"; }
+
+.fa-sort-numeric-up::before {
+  content: "\f163"; }
+
+.fa-door-closed::before {
+  content: "\f52a"; }
+
+.fa-shield-virus::before {
+  content: "\e06c"; }
+
+.fa-dice-six::before {
+  content: "\f526"; }
+
+.fa-mosquito-net::before {
+  content: "\e52c"; }
+
+.fa-bridge-water::before {
+  content: "\e4ce"; }
+
+.fa-person-booth::before {
+  content: "\f756"; }
+
+.fa-text-width::before {
+  content: "\f035"; }
+
+.fa-hat-wizard::before {
+  content: "\f6e8"; }
+
+.fa-pen-fancy::before {
+  content: "\f5ac"; }
+
+.fa-person-digging::before {
+  content: "\f85e"; }
+
+.fa-digging::before {
+  content: "\f85e"; }
+
+.fa-trash::before {
+  content: "\f1f8"; }
+
+.fa-gauge-simple::before {
+  content: "\f629"; }
+
+.fa-gauge-simple-med::before {
+  content: "\f629"; }
+
+.fa-tachometer-average::before {
+  content: "\f629"; }
+
+.fa-book-medical::before {
+  content: "\f7e6"; }
+
+.fa-poo::before {
+  content: "\f2fe"; }
+
+.fa-quote-right::before {
+  content: "\f10e"; }
+
+.fa-quote-right-alt::before {
+  content: "\f10e"; }
+
+.fa-shirt::before {
+  content: "\f553"; }
+
+.fa-t-shirt::before {
+  content: "\f553"; }
+
+.fa-tshirt::before {
+  content: "\f553"; }
+
+.fa-cubes::before {
+  content: "\f1b3"; }
+
+.fa-divide::before {
+  content: "\f529"; }
+
+.fa-tenge-sign::before {
+  content: "\f7d7"; }
+
+.fa-tenge::before {
+  content: "\f7d7"; }
+
+.fa-headphones::before {
+  content: "\f025"; }
+
+.fa-hands-holding::before {
+  content: "\f4c2"; }
+
+.fa-hands-clapping::before {
+  content: "\e1a8"; }
+
+.fa-republican::before {
+  content: "\f75e"; }
+
+.fa-arrow-left::before {
+  content: "\f060"; }
+
+.fa-person-circle-xmark::before {
+  content: "\e543"; }
+
+.fa-ruler::before {
+  content: "\f545"; }
+
+.fa-align-left::before {
+  content: "\f036"; }
+
+.fa-dice-d6::before {
+  content: "\f6d1"; }
+
+.fa-restroom::before {
+  content: "\f7bd"; }
+
+.fa-j::before {
+  content: "\4a"; }
+
+.fa-users-viewfinder::before {
+  content: "\e595"; }
+
+.fa-file-video::before {
+  content: "\f1c8"; }
+
+.fa-up-right-from-square::before {
+  content: "\f35d"; }
+
+.fa-external-link-alt::before {
+  content: "\f35d"; }
+
+.fa-table-cells::before {
+  content: "\f00a"; }
+
+.fa-th::before {
+  content: "\f00a"; }
+
+.fa-file-pdf::before {
+  content: "\f1c1"; }
+
+.fa-book-bible::before {
+  content: "\f647"; }
+
+.fa-bible::before {
+  content: "\f647"; }
+
+.fa-o::before {
+  content: "\4f"; }
+
+.fa-suitcase-medical::before {
+  content: "\f0fa"; }
+
+.fa-medkit::before {
+  content: "\f0fa"; }
+
+.fa-user-secret::before {
+  content: "\f21b"; }
+
+.fa-otter::before {
+  content: "\f700"; }
+
+.fa-person-dress::before {
+  content: "\f182"; }
+
+.fa-female::before {
+  content: "\f182"; }
+
+.fa-comment-dollar::before {
+  content: "\f651"; }
+
+.fa-business-time::before {
+  content: "\f64a"; }
+
+.fa-briefcase-clock::before {
+  content: "\f64a"; }
+
+.fa-table-cells-large::before {
+  content: "\f009"; }
+
+.fa-th-large::before {
+  content: "\f009"; }
+
+.fa-book-tanakh::before {
+  content: "\f827"; }
+
+.fa-tanakh::before {
+  content: "\f827"; }
+
+.fa-phone-volume::before {
+  content: "\f2a0"; }
+
+.fa-volume-control-phone::before {
+  content: "\f2a0"; }
+
+.fa-hat-cowboy-side::before {
+  content: "\f8c1"; }
+
+.fa-clipboard-user::before {
+  content: "\f7f3"; }
+
+.fa-child::before {
+  content: "\f1ae"; }
+
+.fa-lira-sign::before {
+  content: "\f195"; }
+
+.fa-satellite::before {
+  content: "\f7bf"; }
+
+.fa-plane-lock::before {
+  content: "\e558"; }
+
+.fa-tag::before {
+  content: "\f02b"; }
+
+.fa-comment::before {
+  content: "\f075"; }
+
+.fa-cake-candles::before {
+  content: "\f1fd"; }
+
+.fa-birthday-cake::before {
+  content: "\f1fd"; }
+
+.fa-cake::before {
+  content: "\f1fd"; }
+
+.fa-envelope::before {
+  content: "\f0e0"; }
+
+.fa-angles-up::before {
+  content: "\f102"; }
+
+.fa-angle-double-up::before {
+  content: "\f102"; }
+
+.fa-paperclip::before {
+  content: "\f0c6"; }
+
+.fa-arrow-right-to-city::before {
+  content: "\e4b3"; }
+
+.fa-ribbon::before {
+  content: "\f4d6"; }
+
+.fa-lungs::before {
+  content: "\f604"; }
+
+.fa-arrow-up-9-1::before {
+  content: "\f887"; }
+
+.fa-sort-numeric-up-alt::before {
+  content: "\f887"; }
+
+.fa-litecoin-sign::before {
+  content: "\e1d3"; }
+
+.fa-border-none::before {
+  content: "\f850"; }
+
+.fa-circle-nodes::before {
+  content: "\e4e2"; }
+
+.fa-parachute-box::before {
+  content: "\f4cd"; }
+
+.fa-indent::before {
+  content: "\f03c"; }
+
+.fa-truck-field-un::before {
+  content: "\e58e"; }
+
+.fa-hourglass::before {
+  content: "\f254"; }
+
+.fa-hourglass-empty::before {
+  content: "\f254"; }
+
+.fa-mountain::before {
+  content: "\f6fc"; }
+
+.fa-user-doctor::before {
+  content: "\f0f0"; }
+
+.fa-user-md::before {
+  content: "\f0f0"; }
+
+.fa-circle-info::before {
+  content: "\f05a"; }
+
+.fa-info-circle::before {
+  content: "\f05a"; }
+
+.fa-cloud-meatball::before {
+  content: "\f73b"; }
+
+.fa-camera::before {
+  content: "\f030"; }
+
+.fa-camera-alt::before {
+  content: "\f030"; }
+
+.fa-square-virus::before {
+  content: "\e578"; }
+
+.fa-meteor::before {
+  content: "\f753"; }
+
+.fa-car-on::before {
+  content: "\e4dd"; }
+
+.fa-sleigh::before {
+  content: "\f7cc"; }
+
+.fa-arrow-down-1-9::before {
+  content: "\f162"; }
+
+.fa-sort-numeric-asc::before {
+  content: "\f162"; }
+
+.fa-sort-numeric-down::before {
+  content: "\f162"; }
+
+.fa-hand-holding-droplet::before {
+  content: "\f4c1"; }
+
+.fa-hand-holding-water::before {
+  content: "\f4c1"; }
+
+.fa-water::before {
+  content: "\f773"; }
+
+.fa-calendar-check::before {
+  content: "\f274"; }
+
+.fa-braille::before {
+  content: "\f2a1"; }
+
+.fa-prescription-bottle-medical::before {
+  content: "\f486"; }
+
+.fa-prescription-bottle-alt::before {
+  content: "\f486"; }
+
+.fa-landmark::before {
+  content: "\f66f"; }
+
+.fa-truck::before {
+  content: "\f0d1"; }
+
+.fa-crosshairs::before {
+  content: "\f05b"; }
+
+.fa-person-cane::before {
+  content: "\e53c"; }
+
+.fa-tent::before {
+  content: "\e57d"; }
+
+.fa-vest-patches::before {
+  content: "\e086"; }
+
+.fa-check-double::before {
+  content: "\f560"; }
+
+.fa-arrow-down-a-z::before {
+  content: "\f15d"; }
+
+.fa-sort-alpha-asc::before {
+  content: "\f15d"; }
+
+.fa-sort-alpha-down::before {
+  content: "\f15d"; }
+
+.fa-money-bill-wheat::before {
+  content: "\e52a"; }
+
+.fa-cookie::before {
+  content: "\f563"; }
+
+.fa-arrow-rotate-left::before {
+  content: "\f0e2"; }
+
+.fa-arrow-left-rotate::before {
+  content: "\f0e2"; }
+
+.fa-arrow-rotate-back::before {
+  content: "\f0e2"; }
+
+.fa-arrow-rotate-backward::before {
+  content: "\f0e2"; }
+
+.fa-undo::before {
+  content: "\f0e2"; }
+
+.fa-hard-drive::before {
+  content: "\f0a0"; }
+
+.fa-hdd::before {
+  content: "\f0a0"; }
+
+.fa-face-grin-squint-tears::before {
+  content: "\f586"; }
+
+.fa-grin-squint-tears::before {
+  content: "\f586"; }
+
+.fa-dumbbell::before {
+  content: "\f44b"; }
+
+.fa-rectangle-list::before {
+  content: "\f022"; }
+
+.fa-list-alt::before {
+  content: "\f022"; }
+
+.fa-tarp-droplet::before {
+  content: "\e57c"; }
+
+.fa-house-medical-circle-check::before {
+  content: "\e511"; }
+
+.fa-person-skiing-nordic::before {
+  content: "\f7ca"; }
+
+.fa-skiing-nordic::before {
+  content: "\f7ca"; }
+
+.fa-calendar-plus::before {
+  content: "\f271"; }
+
+.fa-plane-arrival::before {
+  content: "\f5af"; }
+
+.fa-circle-left::before {
+  content: "\f359"; }
+
+.fa-arrow-alt-circle-left::before {
+  content: "\f359"; }
+
+.fa-train-subway::before {
+  content: "\f239"; }
+
+.fa-subway::before {
+  content: "\f239"; }
+
+.fa-chart-gantt::before {
+  content: "\e0e4"; }
+
+.fa-indian-rupee-sign::before {
+  content: "\e1bc"; }
+
+.fa-indian-rupee::before {
+  content: "\e1bc"; }
+
+.fa-inr::before {
+  content: "\e1bc"; }
+
+.fa-crop-simple::before {
+  content: "\f565"; }
+
+.fa-crop-alt::before {
+  content: "\f565"; }
+
+.fa-money-bill-1::before {
+  content: "\f3d1"; }
+
+.fa-money-bill-alt::before {
+  content: "\f3d1"; }
+
+.fa-left-long::before {
+  content: "\f30a"; }
+
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+  content: "\f30a"; }
+
+.fa-dna::before {
+  content: "\f471"; }
+
+.fa-virus-slash::before {
+  content: "\e075"; }
+
+.fa-minus::before {
+  content: "\f068"; }
+
+.fa-subtract::before {
+  content: "\f068"; }
+
+.fa-chess::before {
+  content: "\f439"; }
+
+.fa-arrow-left-long::before {
+  content: "\f177"; }
+
+.fa-long-arrow-left::before {
+  content: "\f177"; }
+
+.fa-plug-circle-check::before {
+  content: "\e55c"; }
+
+.fa-street-view::before {
+  content: "\f21d"; }
+
+.fa-franc-sign::before {
+  content: "\e18f"; }
+
+.fa-volume-off::before {
+  content: "\f026"; }
+
+.fa-hands-asl-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-american-sign-language-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-asl-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-hands-american-sign-language-interpreting::before {
+  content: "\f2a3"; }
+
+.fa-gear::before {
+  content: "\f013"; }
+
+.fa-cog::before {
+  content: "\f013"; }
+
+.fa-droplet-slash::before {
+  content: "\f5c7"; }
+
+.fa-tint-slash::before {
+  content: "\f5c7"; }
+
+.fa-mosque::before {
+  content: "\f678"; }
+
+.fa-mosquito::before {
+  content: "\e52b"; }
+
+.fa-star-of-david::before {
+  content: "\f69a"; }
+
+.fa-person-military-rifle::before {
+  content: "\e54b"; }
+
+.fa-cart-shopping::before {
+  content: "\f07a"; }
+
+.fa-shopping-cart::before {
+  content: "\f07a"; }
+
+.fa-vials::before {
+  content: "\f493"; }
+
+.fa-plug-circle-plus::before {
+  content: "\e55f"; }
+
+.fa-place-of-worship::before {
+  content: "\f67f"; }
+
+.fa-grip-vertical::before {
+  content: "\f58e"; }
+
+.fa-arrow-turn-up::before {
+  content: "\f148"; }
+
+.fa-level-up::before {
+  content: "\f148"; }
+
+.fa-u::before {
+  content: "\55"; }
+
+.fa-square-root-variable::before {
+  content: "\f698"; }
+
+.fa-square-root-alt::before {
+  content: "\f698"; }
+
+.fa-clock::before {
+  content: "\f017"; }
+
+.fa-clock-four::before {
+  content: "\f017"; }
+
+.fa-backward-step::before {
+  content: "\f048"; }
+
+.fa-step-backward::before {
+  content: "\f048"; }
+
+.fa-pallet::before {
+  content: "\f482"; }
+
+.fa-faucet::before {
+  content: "\e005"; }
+
+.fa-baseball-bat-ball::before {
+  content: "\f432"; }
+
+.fa-s::before {
+  content: "\53"; }
+
+.fa-timeline::before {
+  content: "\e29c"; }
+
+.fa-keyboard::before {
+  content: "\f11c"; }
+
+.fa-caret-down::before {
+  content: "\f0d7"; }
+
+.fa-house-chimney-medical::before {
+  content: "\f7f2"; }
+
+.fa-clinic-medical::before {
+  content: "\f7f2"; }
+
+.fa-temperature-three-quarters::before {
+  content: "\f2c8"; }
+
+.fa-temperature-3::before {
+  content: "\f2c8"; }
+
+.fa-thermometer-3::before {
+  content: "\f2c8"; }
+
+.fa-thermometer-three-quarters::before {
+  content: "\f2c8"; }
+
+.fa-mobile-screen::before {
+  content: "\f3cf"; }
+
+.fa-mobile-android-alt::before {
+  content: "\f3cf"; }
+
+.fa-plane-up::before {
+  content: "\e22d"; }
+
+.fa-piggy-bank::before {
+  content: "\f4d3"; }
+
+.fa-battery-half::before {
+  content: "\f242"; }
+
+.fa-battery-3::before {
+  content: "\f242"; }
+
+.fa-mountain-city::before {
+  content: "\e52e"; }
+
+.fa-coins::before {
+  content: "\f51e"; }
+
+.fa-khanda::before {
+  content: "\f66d"; }
+
+.fa-sliders::before {
+  content: "\f1de"; }
+
+.fa-sliders-h::before {
+  content: "\f1de"; }
+
+.fa-folder-tree::before {
+  content: "\f802"; }
+
+.fa-network-wired::before {
+  content: "\f6ff"; }
+
+.fa-map-pin::before {
+  content: "\f276"; }
+
+.fa-hamsa::before {
+  content: "\f665"; }
+
+.fa-cent-sign::before {
+  content: "\e3f5"; }
+
+.fa-flask::before {
+  content: "\f0c3"; }
+
+.fa-person-pregnant::before {
+  content: "\e31e"; }
+
+.fa-wand-sparkles::before {
+  content: "\f72b"; }
+
+.fa-ellipsis-vertical::before {
+  content: "\f142"; }
+
+.fa-ellipsis-v::before {
+  content: "\f142"; }
+
+.fa-ticket::before {
+  content: "\f145"; }
+
+.fa-power-off::before {
+  content: "\f011"; }
+
+.fa-right-long::before {
+  content: "\f30b"; }
+
+.fa-long-arrow-alt-right::before {
+  content: "\f30b"; }
+
+.fa-flag-usa::before {
+  content: "\f74d"; }
+
+.fa-laptop-file::before {
+  content: "\e51d"; }
+
+.fa-tty::before {
+  content: "\f1e4"; }
+
+.fa-teletype::before {
+  content: "\f1e4"; }
+
+.fa-diagram-next::before {
+  content: "\e476"; }
+
+.fa-person-rifle::before {
+  content: "\e54e"; }
+
+.fa-house-medical-circle-exclamation::before {
+  content: "\e512"; }
+
+.fa-closed-captioning::before {
+  content: "\f20a"; }
+
+.fa-person-hiking::before {
+  content: "\f6ec"; }
+
+.fa-hiking::before {
+  content: "\f6ec"; }
+
+.fa-venus-double::before {
+  content: "\f226"; }
+
+.fa-images::before {
+  content: "\f302"; }
+
+.fa-calculator::before {
+  content: "\f1ec"; }
+
+.fa-people-pulling::before {
+  content: "\e535"; }
+
+.fa-n::before {
+  content: "\4e"; }
+
+.fa-cable-car::before {
+  content: "\f7da"; }
+
+.fa-tram::before {
+  content: "\f7da"; }
+
+.fa-cloud-rain::before {
+  content: "\f73d"; }
+
+.fa-building-circle-xmark::before {
+  content: "\e4d4"; }
+
+.fa-ship::before {
+  content: "\f21a"; }
+
+.fa-arrows-down-to-line::before {
+  content: "\e4b8"; }
+
+.fa-download::before {
+  content: "\f019"; }
+
+.fa-face-grin::before {
+  content: "\f580"; }
+
+.fa-grin::before {
+  content: "\f580"; }
+
+.fa-delete-left::before {
+  content: "\f55a"; }
+
+.fa-backspace::before {
+  content: "\f55a"; }
+
+.fa-eye-dropper::before {
+  content: "\f1fb"; }
+
+.fa-eye-dropper-empty::before {
+  content: "\f1fb"; }
+
+.fa-eyedropper::before {
+  content: "\f1fb"; }
+
+.fa-file-circle-check::before {
+  content: "\e5a0"; }
+
+.fa-forward::before {
+  content: "\f04e"; }
+
+.fa-mobile::before {
+  content: "\f3ce"; }
+
+.fa-mobile-android::before {
+  content: "\f3ce"; }
+
+.fa-mobile-phone::before {
+  content: "\f3ce"; }
+
+.fa-face-meh::before {
+  content: "\f11a"; }
+
+.fa-meh::before {
+  content: "\f11a"; }
+
+.fa-align-center::before {
+  content: "\f037"; }
+
+.fa-book-skull::before {
+  content: "\f6b7"; }
+
+.fa-book-dead::before {
+  content: "\f6b7"; }
+
+.fa-id-card::before {
+  content: "\f2c2"; }
+
+.fa-drivers-license::before {
+  content: "\f2c2"; }
+
+.fa-outdent::before {
+  content: "\f03b"; }
+
+.fa-dedent::before {
+  content: "\f03b"; }
+
+.fa-heart-circle-exclamation::before {
+  content: "\e4fe"; }
+
+.fa-house::before {
+  content: "\f015"; }
+
+.fa-home::before {
+  content: "\f015"; }
+
+.fa-home-alt::before {
+  content: "\f015"; }
+
+.fa-home-lg-alt::before {
+  content: "\f015"; }
+
+.fa-calendar-week::before {
+  content: "\f784"; }
+
+.fa-laptop-medical::before {
+  content: "\f812"; }
+
+.fa-b::before {
+  content: "\42"; }
+
+.fa-file-medical::before {
+  content: "\f477"; }
+
+.fa-dice-one::before {
+  content: "\f525"; }
+
+.fa-kiwi-bird::before {
+  content: "\f535"; }
+
+.fa-arrow-right-arrow-left::before {
+  content: "\f0ec"; }
+
+.fa-exchange::before {
+  content: "\f0ec"; }
+
+.fa-rotate-right::before {
+  content: "\f2f9"; }
+
+.fa-redo-alt::before {
+  content: "\f2f9"; }
+
+.fa-rotate-forward::before {
+  content: "\f2f9"; }
+
+.fa-utensils::before {
+  content: "\f2e7"; }
+
+.fa-cutlery::before {
+  content: "\f2e7"; }
+
+.fa-arrow-up-wide-short::before {
+  content: "\f161"; }
+
+.fa-sort-amount-up::before {
+  content: "\f161"; }
+
+.fa-mill-sign::before {
+  content: "\e1ed"; }
+
+.fa-bowl-rice::before {
+  content: "\e2eb"; }
+
+.fa-skull::before {
+  content: "\f54c"; }
+
+.fa-tower-broadcast::before {
+  content: "\f519"; }
+
+.fa-broadcast-tower::before {
+  content: "\f519"; }
+
+.fa-truck-pickup::before {
+  content: "\f63c"; }
+
+.fa-up-long::before {
+  content: "\f30c"; }
+
+.fa-long-arrow-alt-up::before {
+  content: "\f30c"; }
+
+.fa-stop::before {
+  content: "\f04d"; }
+
+.fa-code-merge::before {
+  content: "\f387"; }
+
+.fa-upload::before {
+  content: "\f093"; }
+
+.fa-hurricane::before {
+  content: "\f751"; }
+
+.fa-mound::before {
+  content: "\e52d"; }
+
+.fa-toilet-portable::before {
+  content: "\e583"; }
+
+.fa-compact-disc::before {
+  content: "\f51f"; }
+
+.fa-file-arrow-down::before {
+  content: "\f56d"; }
+
+.fa-file-download::before {
+  content: "\f56d"; }
+
+.fa-caravan::before {
+  content: "\f8ff"; }
+
+.fa-shield-cat::before {
+  content: "\e572"; }
+
+.fa-bolt::before {
+  content: "\f0e7"; }
+
+.fa-zap::before {
+  content: "\f0e7"; }
+
+.fa-glass-water::before {
+  content: "\e4f4"; }
+
+.fa-oil-well::before {
+  content: "\e532"; }
+
+.fa-vault::before {
+  content: "\e2c5"; }
+
+.fa-mars::before {
+  content: "\f222"; }
+
+.fa-toilet::before {
+  content: "\f7d8"; }
+
+.fa-plane-circle-xmark::before {
+  content: "\e557"; }
+
+.fa-yen-sign::before {
+  content: "\f157"; }
+
+.fa-cny::before {
+  content: "\f157"; }
+
+.fa-jpy::before {
+  content: "\f157"; }
+
+.fa-rmb::before {
+  content: "\f157"; }
+
+.fa-yen::before {
+  content: "\f157"; }
+
+.fa-ruble-sign::before {
+  content: "\f158"; }
+
+.fa-rouble::before {
+  content: "\f158"; }
+
+.fa-rub::before {
+  content: "\f158"; }
+
+.fa-ruble::before {
+  content: "\f158"; }
+
+.fa-sun::before {
+  content: "\f185"; }
+
+.fa-guitar::before {
+  content: "\f7a6"; }
+
+.fa-face-laugh-wink::before {
+  content: "\f59c"; }
+
+.fa-laugh-wink::before {
+  content: "\f59c"; }
+
+.fa-horse-head::before {
+  content: "\f7ab"; }
+
+.fa-bore-hole::before {
+  content: "\e4c3"; }
+
+.fa-industry::before {
+  content: "\f275"; }
+
+.fa-circle-down::before {
+  content: "\f358"; }
+
+.fa-arrow-alt-circle-down::before {
+  content: "\f358"; }
+
+.fa-arrows-turn-to-dots::before {
+  content: "\e4c1"; }
+
+.fa-florin-sign::before {
+  content: "\e184"; }
+
+.fa-arrow-down-short-wide::before {
+  content: "\f884"; }
+
+.fa-sort-amount-desc::before {
+  content: "\f884"; }
+
+.fa-sort-amount-down-alt::before {
+  content: "\f884"; }
+
+.fa-less-than::before {
+  content: "\3c"; }
+
+.fa-angle-down::before {
+  content: "\f107"; }
+
+.fa-car-tunnel::before {
+  content: "\e4de"; }
+
+.fa-head-side-cough::before {
+  content: "\e061"; }
+
+.fa-grip-lines::before {
+  content: "\f7a4"; }
+
+.fa-thumbs-down::before {
+  content: "\f165"; }
+
+.fa-user-lock::before {
+  content: "\f502"; }
+
+.fa-arrow-right-long::before {
+  content: "\f178"; }
+
+.fa-long-arrow-right::before {
+  content: "\f178"; }
+
+.fa-anchor-circle-xmark::before {
+  content: "\e4ac"; }
+
+.fa-ellipsis::before {
+  content: "\f141"; }
+
+.fa-ellipsis-h::before {
+  content: "\f141"; }
+
+.fa-chess-pawn::before {
+  content: "\f443"; }
+
+.fa-kit-medical::before {
+  content: "\f479"; }
+
+.fa-first-aid::before {
+  content: "\f479"; }
+
+.fa-person-through-window::before {
+  content: "\e5a9"; }
+
+.fa-toolbox::before {
+  content: "\f552"; }
+
+.fa-hands-holding-circle::before {
+  content: "\e4fb"; }
+
+.fa-bug::before {
+  content: "\f188"; }
+
+.fa-credit-card::before {
+  content: "\f09d"; }
+
+.fa-credit-card-alt::before {
+  content: "\f09d"; }
+
+.fa-car::before {
+  content: "\f1b9"; }
+
+.fa-automobile::before {
+  content: "\f1b9"; }
+
+.fa-hand-holding-hand::before {
+  content: "\e4f7"; }
+
+.fa-book-open-reader::before {
+  content: "\f5da"; }
+
+.fa-book-reader::before {
+  content: "\f5da"; }
+
+.fa-mountain-sun::before {
+  content: "\e52f"; }
+
+.fa-arrows-left-right-to-line::before {
+  content: "\e4ba"; }
+
+.fa-dice-d20::before {
+  content: "\f6cf"; }
+
+.fa-truck-droplet::before {
+  content: "\e58c"; }
+
+.fa-file-circle-xmark::before {
+  content: "\e5a1"; }
+
+.fa-temperature-arrow-up::before {
+  content: "\e040"; }
+
+.fa-temperature-up::before {
+  content: "\e040"; }
+
+.fa-medal::before {
+  content: "\f5a2"; }
+
+.fa-bed::before {
+  content: "\f236"; }
+
+.fa-square-h::before {
+  content: "\f0fd"; }
+
+.fa-h-square::before {
+  content: "\f0fd"; }
+
+.fa-podcast::before {
+  content: "\f2ce"; }
+
+.fa-temperature-full::before {
+  content: "\f2c7"; }
+
+.fa-temperature-4::before {
+  content: "\f2c7"; }
+
+.fa-thermometer-4::before {
+  content: "\f2c7"; }
+
+.fa-thermometer-full::before {
+  content: "\f2c7"; }
+
+.fa-bell::before {
+  content: "\f0f3"; }
+
+.fa-superscript::before {
+  content: "\f12b"; }
+
+.fa-plug-circle-xmark::before {
+  content: "\e560"; }
+
+.fa-star-of-life::before {
+  content: "\f621"; }
+
+.fa-phone-slash::before {
+  content: "\f3dd"; }
+
+.fa-paint-roller::before {
+  content: "\f5aa"; }
+
+.fa-handshake-angle::before {
+  content: "\f4c4"; }
+
+.fa-hands-helping::before {
+  content: "\f4c4"; }
+
+.fa-location-dot::before {
+  content: "\f3c5"; }
+
+.fa-map-marker-alt::before {
+  content: "\f3c5"; }
+
+.fa-file::before {
+  content: "\f15b"; }
+
+.fa-greater-than::before {
+  content: "\3e"; }
+
+.fa-person-swimming::before {
+  content: "\f5c4"; }
+
+.fa-swimmer::before {
+  content: "\f5c4"; }
+
+.fa-arrow-down::before {
+  content: "\f063"; }
+
+.fa-droplet::before {
+  content: "\f043"; }
+
+.fa-tint::before {
+  content: "\f043"; }
+
+.fa-eraser::before {
+  content: "\f12d"; }
+
+.fa-earth-americas::before {
+  content: "\f57d"; }
+
+.fa-earth::before {
+  content: "\f57d"; }
+
+.fa-earth-america::before {
+  content: "\f57d"; }
+
+.fa-globe-americas::before {
+  content: "\f57d"; }
+
+.fa-person-burst::before {
+  content: "\e53b"; }
+
+.fa-dove::before {
+  content: "\f4ba"; }
+
+.fa-battery-empty::before {
+  content: "\f244"; }
+
+.fa-battery-0::before {
+  content: "\f244"; }
+
+.fa-socks::before {
+  content: "\f696"; }
+
+.fa-inbox::before {
+  content: "\f01c"; }
+
+.fa-section::before {
+  content: "\e447"; }
+
+.fa-gauge-high::before {
+  content: "\f625"; }
+
+.fa-tachometer-alt::before {
+  content: "\f625"; }
+
+.fa-tachometer-alt-fast::before {
+  content: "\f625"; }
+
+.fa-envelope-open-text::before {
+  content: "\f658"; }
+
+.fa-hospital::before {
+  content: "\f0f8"; }
+
+.fa-hospital-alt::before {
+  content: "\f0f8"; }
+
+.fa-hospital-wide::before {
+  content: "\f0f8"; }
+
+.fa-wine-bottle::before {
+  content: "\f72f"; }
+
+.fa-chess-rook::before {
+  content: "\f447"; }
+
+.fa-bars-staggered::before {
+  content: "\f550"; }
+
+.fa-reorder::before {
+  content: "\f550"; }
+
+.fa-stream::before {
+  content: "\f550"; }
+
+.fa-dharmachakra::before {
+  content: "\f655"; }
+
+.fa-hotdog::before {
+  content: "\f80f"; }
+
+.fa-person-walking-with-cane::before {
+  content: "\f29d"; }
+
+.fa-blind::before {
+  content: "\f29d"; }
+
+.fa-drum::before {
+  content: "\f569"; }
+
+.fa-ice-cream::before {
+  content: "\f810"; }
+
+.fa-heart-circle-bolt::before {
+  content: "\e4fc"; }
+
+.fa-fax::before {
+  content: "\f1ac"; }
+
+.fa-paragraph::before {
+  content: "\f1dd"; }
+
+.fa-check-to-slot::before {
+  content: "\f772"; }
+
+.fa-vote-yea::before {
+  content: "\f772"; }
+
+.fa-star-half::before {
+  content: "\f089"; }
+
+.fa-boxes-stacked::before {
+  content: "\f468"; }
+
+.fa-boxes::before {
+  content: "\f468"; }
+
+.fa-boxes-alt::before {
+  content: "\f468"; }
+
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+  content: "\f0c1"; }
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+.fa-chain::before {
+  content: "\f0c1"; }
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+  content: "\f2a2"; }
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+  content: "\f2a2"; }
+
+.fa-tree-city::before {
+  content: "\e587"; }
+
+.fa-play::before {
+  content: "\f04b"; }
+
+.fa-font::before {
+  content: "\f031"; }
+
+.fa-rupiah-sign::before {
+  content: "\e23d"; }
+
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+  content: "\f002"; }
+
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+  content: "\f002"; }
+
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+  content: "\f45d"; }
+
+.fa-ping-pong-paddle-ball::before {
+  content: "\f45d"; }
+
+.fa-table-tennis::before {
+  content: "\f45d"; }
+
+.fa-person-dots-from-line::before {
+  content: "\f470"; }
+
+.fa-diagnoses::before {
+  content: "\f470"; }
+
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+  content: "\f82a"; }
+
+.fa-trash-restore-alt::before {
+  content: "\f82a"; }
+
+.fa-naira-sign::before {
+  content: "\e1f6"; }
+
+.fa-cart-arrow-down::before {
+  content: "\f218"; }
+
+.fa-walkie-talkie::before {
+  content: "\f8ef"; }
+
+.fa-file-pen::before {
+  content: "\f31c"; }
+
+.fa-file-edit::before {
+  content: "\f31c"; }
+
+.fa-receipt::before {
+  content: "\f543"; }
+
+.fa-square-pen::before {
+  content: "\f14b"; }
+
+.fa-pen-square::before {
+  content: "\f14b"; }
+
+.fa-pencil-square::before {
+  content: "\f14b"; }
+
+.fa-suitcase-rolling::before {
+  content: "\f5c1"; }
+
+.fa-person-circle-exclamation::before {
+  content: "\e53f"; }
+
+.fa-chevron-down::before {
+  content: "\f078"; }
+
+.fa-battery-full::before {
+  content: "\f240"; }
+
+.fa-battery::before {
+  content: "\f240"; }
+
+.fa-battery-5::before {
+  content: "\f240"; }
+
+.fa-skull-crossbones::before {
+  content: "\f714"; }
+
+.fa-code-compare::before {
+  content: "\e13a"; }
+
+.fa-list-ul::before {
+  content: "\f0ca"; }
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+.fa-list-dots::before {
+  content: "\f0ca"; }
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+  content: "\e56f"; }
+
+.fa-tower-cell::before {
+  content: "\e585"; }
+
+.fa-down-long::before {
+  content: "\f309"; }
+
+.fa-long-arrow-alt-down::before {
+  content: "\f309"; }
+
+.fa-ranking-star::before {
+  content: "\e561"; }
+
+.fa-chess-king::before {
+  content: "\f43f"; }
+
+.fa-person-harassing::before {
+  content: "\e549"; }
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+.fa-brazilian-real-sign::before {
+  content: "\e46c"; }
+
+.fa-landmark-dome::before {
+  content: "\f752"; }
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+.fa-landmark-alt::before {
+  content: "\f752"; }
+
+.fa-arrow-up::before {
+  content: "\f062"; }
+
+.fa-tv::before {
+  content: "\f26c"; }
+
+.fa-television::before {
+  content: "\f26c"; }
+
+.fa-tv-alt::before {
+  content: "\f26c"; }
+
+.fa-shrimp::before {
+  content: "\e448"; }
+
+.fa-list-check::before {
+  content: "\f0ae"; }
+
+.fa-tasks::before {
+  content: "\f0ae"; }
+
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+  content: "\e519"; }
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+.fa-circle-user::before {
+  content: "\f2bd"; }
+
+.fa-user-circle::before {
+  content: "\f2bd"; }
+
+.fa-user-shield::before {
+  content: "\f505"; }
+
+.fa-wind::before {
+  content: "\f72e"; }
+
+.fa-car-burst::before {
+  content: "\f5e1"; }
+
+.fa-car-crash::before {
+  content: "\f5e1"; }
+
+.fa-y::before {
+  content: "\59"; }
+
+.fa-person-snowboarding::before {
+  content: "\f7ce"; }
+
+.fa-snowboarding::before {
+  content: "\f7ce"; }
+
+.fa-truck-fast::before {
+  content: "\f48b"; }
+
+.fa-shipping-fast::before {
+  content: "\f48b"; }
+
+.fa-fish::before {
+  content: "\f578"; }
+
+.fa-user-graduate::before {
+  content: "\f501"; }
+
+.fa-circle-half-stroke::before {
+  content: "\f042"; }
+
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+  content: "\f042"; }
+
+.fa-clapperboard::before {
+  content: "\e131"; }
+
+.fa-circle-radiation::before {
+  content: "\f7ba"; }
+
+.fa-radiation-alt::before {
+  content: "\f7ba"; }
+
+.fa-baseball::before {
+  content: "\f433"; }
+
+.fa-baseball-ball::before {
+  content: "\f433"; }
+
+.fa-jet-fighter-up::before {
+  content: "\e518"; }
+
+.fa-diagram-project::before {
+  content: "\f542"; }
+
+.fa-project-diagram::before {
+  content: "\f542"; }
+
+.fa-copy::before {
+  content: "\f0c5"; }
+
+.fa-volume-xmark::before {
+  content: "\f6a9"; }
+
+.fa-volume-mute::before {
+  content: "\f6a9"; }
+
+.fa-volume-times::before {
+  content: "\f6a9"; }
+
+.fa-hand-sparkles::before {
+  content: "\e05d"; }
+
+.fa-grip::before {
+  content: "\f58d"; }
+
+.fa-grip-horizontal::before {
+  content: "\f58d"; }
+
+.fa-share-from-square::before {
+  content: "\f14d"; }
+
+.fa-share-square::before {
+  content: "\f14d"; }
+
+.fa-child-combatant::before {
+  content: "\e4e0"; }
+
+.fa-child-rifle::before {
+  content: "\e4e0"; }
+
+.fa-gun::before {
+  content: "\e19b"; }
+
+.fa-square-phone::before {
+  content: "\f098"; }
+
+.fa-phone-square::before {
+  content: "\f098"; }
+
+.fa-plus::before {
+  content: "\2b"; }
+
+.fa-add::before {
+  content: "\2b"; }
+
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+  content: "\f065"; }
+
+.fa-computer::before {
+  content: "\e4e5"; }
+
+.fa-xmark::before {
+  content: "\f00d"; }
+
+.fa-close::before {
+  content: "\f00d"; }
+
+.fa-multiply::before {
+  content: "\f00d"; }
+
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+  content: "\f00d"; }
+
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+  content: "\f00d"; }
+
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+  content: "\f047"; }
+
+.fa-arrows::before {
+  content: "\f047"; }
+
+.fa-chalkboard-user::before {
+  content: "\f51c"; }
+
+.fa-chalkboard-teacher::before {
+  content: "\f51c"; }
+
+.fa-peso-sign::before {
+  content: "\e222"; }
+
+.fa-building-shield::before {
+  content: "\e4d8"; }
+
+.fa-baby::before {
+  content: "\f77c"; }
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+.fa-users-line::before {
+  content: "\e592"; }
+
+.fa-quote-left::before {
+  content: "\f10d"; }
+
+.fa-quote-left-alt::before {
+  content: "\f10d"; }
+
+.fa-tractor::before {
+  content: "\f722"; }
+
+.fa-trash-arrow-up::before {
+  content: "\f829"; }
+
+.fa-trash-restore::before {
+  content: "\f829"; }
+
+.fa-arrow-down-up-lock::before {
+  content: "\e4b0"; }
+
+.fa-lines-leaning::before {
+  content: "\e51e"; }
+
+.fa-ruler-combined::before {
+  content: "\f546"; }
+
+.fa-copyright::before {
+  content: "\f1f9"; }
+
+.fa-equals::before {
+  content: "\3d"; }
+
+.fa-blender::before {
+  content: "\f517"; }
+
+.fa-teeth::before {
+  content: "\f62e"; }
+
+.fa-shekel-sign::before {
+  content: "\f20b"; }
+
+.fa-ils::before {
+  content: "\f20b"; }
+
+.fa-shekel::before {
+  content: "\f20b"; }
+
+.fa-sheqel::before {
+  content: "\f20b"; }
+
+.fa-sheqel-sign::before {
+  content: "\f20b"; }
+
+.fa-map::before {
+  content: "\f279"; }
+
+.fa-rocket::before {
+  content: "\f135"; }
+
+.fa-photo-film::before {
+  content: "\f87c"; }
+
+.fa-photo-video::before {
+  content: "\f87c"; }
+
+.fa-folder-minus::before {
+  content: "\f65d"; }
+
+.fa-store::before {
+  content: "\f54e"; }
+
+.fa-arrow-trend-up::before {
+  content: "\e098"; }
+
+.fa-plug-circle-minus::before {
+  content: "\e55e"; }
+
+.fa-sign-hanging::before {
+  content: "\f4d9"; }
+
+.fa-sign::before {
+  content: "\f4d9"; }
+
+.fa-bezier-curve::before {
+  content: "\f55b"; }
+
+.fa-bell-slash::before {
+  content: "\f1f6"; }
+
+.fa-tablet::before {
+  content: "\f3fb"; }
+
+.fa-tablet-android::before {
+  content: "\f3fb"; }
+
+.fa-school-flag::before {
+  content: "\e56e"; }
+
+.fa-fill::before {
+  content: "\f575"; }
+
+.fa-angle-up::before {
+  content: "\f106"; }
+
+.fa-drumstick-bite::before {
+  content: "\f6d7"; }
+
+.fa-holly-berry::before {
+  content: "\f7aa"; }
+
+.fa-chevron-left::before {
+  content: "\f053"; }
+
+.fa-bacteria::before {
+  content: "\e059"; }
+
+.fa-hand-lizard::before {
+  content: "\f258"; }
+
+.fa-notdef::before {
+  content: "\e1fe"; }
+
+.fa-disease::before {
+  content: "\f7fa"; }
+
+.fa-briefcase-medical::before {
+  content: "\f469"; }
+
+.fa-genderless::before {
+  content: "\f22d"; }
+
+.fa-chevron-right::before {
+  content: "\f054"; }
+
+.fa-retweet::before {
+  content: "\f079"; }
+
+.fa-car-rear::before {
+  content: "\f5de"; }
+
+.fa-car-alt::before {
+  content: "\f5de"; }
+
+.fa-pump-soap::before {
+  content: "\e06b"; }
+
+.fa-video-slash::before {
+  content: "\f4e2"; }
+
+.fa-battery-quarter::before {
+  content: "\f243"; }
+
+.fa-battery-2::before {
+  content: "\f243"; }
+
+.fa-radio::before {
+  content: "\f8d7"; }
+
+.fa-baby-carriage::before {
+  content: "\f77d"; }
+
+.fa-carriage-baby::before {
+  content: "\f77d"; }
+
+.fa-traffic-light::before {
+  content: "\f637"; }
+
+.fa-thermometer::before {
+  content: "\f491"; }
+
+.fa-vr-cardboard::before {
+  content: "\f729"; }
+
+.fa-hand-middle-finger::before {
+  content: "\f806"; }
+
+.fa-percent::before {
+  content: "\25"; }
+
+.fa-percentage::before {
+  content: "\25"; }
+
+.fa-truck-moving::before {
+  content: "\f4df"; }
+
+.fa-glass-water-droplet::before {
+  content: "\e4f5"; }
+
+.fa-display::before {
+  content: "\e163"; }
+
+.fa-face-smile::before {
+  content: "\f118"; }
+
+.fa-smile::before {
+  content: "\f118"; }
+
+.fa-thumbtack::before {
+  content: "\f08d"; }
+
+.fa-thumb-tack::before {
+  content: "\f08d"; }
+
+.fa-trophy::before {
+  content: "\f091"; }
+
+.fa-person-praying::before {
+  content: "\f683"; }
+
+.fa-pray::before {
+  content: "\f683"; }
+
+.fa-hammer::before {
+  content: "\f6e3"; }
+
+.fa-hand-peace::before {
+  content: "\f25b"; }
+
+.fa-rotate::before {
+  content: "\f2f1"; }
+
+.fa-sync-alt::before {
+  content: "\f2f1"; }
+
+.fa-spinner::before {
+  content: "\f110"; }
+
+.fa-robot::before {
+  content: "\f544"; }
+
+.fa-peace::before {
+  content: "\f67c"; }
+
+.fa-gears::before {
+  content: "\f085"; }
+
+.fa-cogs::before {
+  content: "\f085"; }
+
+.fa-warehouse::before {
+  content: "\f494"; }
+
+.fa-arrow-up-right-dots::before {
+  content: "\e4b7"; }
+
+.fa-splotch::before {
+  content: "\f5bc"; }
+
+.fa-face-grin-hearts::before {
+  content: "\f584"; }
+
+.fa-grin-hearts::before {
+  content: "\f584"; }
+
+.fa-dice-four::before {
+  content: "\f524"; }
+
+.fa-sim-card::before {
+  content: "\f7c4"; }
+
+.fa-transgender::before {
+  content: "\f225"; }
+
+.fa-transgender-alt::before {
+  content: "\f225"; }
+
+.fa-mercury::before {
+  content: "\f223"; }
+
+.fa-arrow-turn-down::before {
+  content: "\f149"; }
+
+.fa-level-down::before {
+  content: "\f149"; }
+
+.fa-person-falling-burst::before {
+  content: "\e547"; }
+
+.fa-award::before {
+  content: "\f559"; }
+
+.fa-ticket-simple::before {
+  content: "\f3ff"; }
+
+.fa-ticket-alt::before {
+  content: "\f3ff"; }
+
+.fa-building::before {
+  content: "\f1ad"; }
+
+.fa-angles-left::before {
+  content: "\f100"; }
+
+.fa-angle-double-left::before {
+  content: "\f100"; }
+
+.fa-qrcode::before {
+  content: "\f029"; }
+
+.fa-clock-rotate-left::before {
+  content: "\f1da"; }
+
+.fa-history::before {
+  content: "\f1da"; }
+
+.fa-face-grin-beam-sweat::before {
+  content: "\f583"; }
+
+.fa-grin-beam-sweat::before {
+  content: "\f583"; }
+
+.fa-file-export::before {
+  content: "\f56e"; }
+
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+  content: "\f56e"; }
+
+.fa-shield::before {
+  content: "\f132"; }
+
+.fa-shield-blank::before {
+  content: "\f132"; }
+
+.fa-arrow-up-short-wide::before {
+  content: "\f885"; }
+
+.fa-sort-amount-up-alt::before {
+  content: "\f885"; }
+
+.fa-house-medical::before {
+  content: "\e3b2"; }
+
+.fa-golf-ball-tee::before {
+  content: "\f450"; }
+
+.fa-golf-ball::before {
+  content: "\f450"; }
+
+.fa-circle-chevron-left::before {
+  content: "\f137"; }
+
+.fa-chevron-circle-left::before {
+  content: "\f137"; }
+
+.fa-house-chimney-window::before {
+  content: "\e00d"; }
+
+.fa-pen-nib::before {
+  content: "\f5ad"; }
+
+.fa-tent-arrow-turn-left::before {
+  content: "\e580"; }
+
+.fa-tents::before {
+  content: "\e582"; }
+
+.fa-wand-magic::before {
+  content: "\f0d0"; }
+
+.fa-magic::before {
+  content: "\f0d0"; }
+
+.fa-dog::before {
+  content: "\f6d3"; }
+
+.fa-carrot::before {
+  content: "\f787"; }
+
+.fa-moon::before {
+  content: "\f186"; }
+
+.fa-wine-glass-empty::before {
+  content: "\f5ce"; }
+
+.fa-wine-glass-alt::before {
+  content: "\f5ce"; }
+
+.fa-cheese::before {
+  content: "\f7ef"; }
+
+.fa-yin-yang::before {
+  content: "\f6ad"; }
+
+.fa-music::before {
+  content: "\f001"; }
+
+.fa-code-commit::before {
+  content: "\f386"; }
+
+.fa-temperature-low::before {
+  content: "\f76b"; }
+
+.fa-person-biking::before {
+  content: "\f84a"; }
+
+.fa-biking::before {
+  content: "\f84a"; }
+
+.fa-broom::before {
+  content: "\f51a"; }
+
+.fa-shield-heart::before {
+  content: "\e574"; }
+
+.fa-gopuram::before {
+  content: "\f664"; }
+
+.fa-earth-oceania::before {
+  content: "\e47b"; }
+
+.fa-globe-oceania::before {
+  content: "\e47b"; }
+
+.fa-square-xmark::before {
+  content: "\f2d3"; }
+
+.fa-times-square::before {
+  content: "\f2d3"; }
+
+.fa-xmark-square::before {
+  content: "\f2d3"; }
+
+.fa-hashtag::before {
+  content: "\23"; }
+
+.fa-up-right-and-down-left-from-center::before {
+  content: "\f424"; }
+
+.fa-expand-alt::before {
+  content: "\f424"; }
+
+.fa-oil-can::before {
+  content: "\f613"; }
+
+.fa-t::before {
+  content: "\54"; }
+
+.fa-hippo::before {
+  content: "\f6ed"; }
+
+.fa-chart-column::before {
+  content: "\e0e3"; }
+
+.fa-infinity::before {
+  content: "\f534"; }
+
+.fa-vial-circle-check::before {
+  content: "\e596"; }
+
+.fa-person-arrow-down-to-line::before {
+  content: "\e538"; }
+
+.fa-voicemail::before {
+  content: "\f897"; }
+
+.fa-fan::before {
+  content: "\f863"; }
+
+.fa-person-walking-luggage::before {
+  content: "\e554"; }
+
+.fa-up-down::before {
+  content: "\f338"; }
+
+.fa-arrows-alt-v::before {
+  content: "\f338"; }
+
+.fa-cloud-moon-rain::before {
+  content: "\f73c"; }
+
+.fa-calendar::before {
+  content: "\f133"; }
+
+.fa-trailer::before {
+  content: "\e041"; }
+
+.fa-bahai::before {
+  content: "\f666"; }
+
+.fa-haykal::before {
+  content: "\f666"; }
+
+.fa-sd-card::before {
+  content: "\f7c2"; }
+
+.fa-dragon::before {
+  content: "\f6d5"; }
+
+.fa-shoe-prints::before {
+  content: "\f54b"; }
+
+.fa-circle-plus::before {
+  content: "\f055"; }
+
+.fa-plus-circle::before {
+  content: "\f055"; }
+
+.fa-face-grin-tongue-wink::before {
+  content: "\f58b"; }
+
+.fa-grin-tongue-wink::before {
+  content: "\f58b"; }
+
+.fa-hand-holding::before {
+  content: "\f4bd"; }
+
+.fa-plug-circle-exclamation::before {
+  content: "\e55d"; }
+
+.fa-link-slash::before {
+  content: "\f127"; }
+
+.fa-chain-broken::before {
+  content: "\f127"; }
+
+.fa-chain-slash::before {
+  content: "\f127"; }
+
+.fa-unlink::before {
+  content: "\f127"; }
+
+.fa-clone::before {
+  content: "\f24d"; }
+
+.fa-person-walking-arrow-loop-left::before {
+  content: "\e551"; }
+
+.fa-arrow-up-z-a::before {
+  content: "\f882"; }
+
+.fa-sort-alpha-up-alt::before {
+  content: "\f882"; }
+
+.fa-fire-flame-curved::before {
+  content: "\f7e4"; }
+
+.fa-fire-alt::before {
+  content: "\f7e4"; }
+
+.fa-tornado::before {
+  content: "\f76f"; }
+
+.fa-file-circle-plus::before {
+  content: "\e494"; }
+
+.fa-book-quran::before {
+  content: "\f687"; }
+
+.fa-quran::before {
+  content: "\f687"; }
+
+.fa-anchor::before {
+  content: "\f13d"; }
+
+.fa-border-all::before {
+  content: "\f84c"; }
+
+.fa-face-angry::before {
+  content: "\f556"; }
+
+.fa-angry::before {
+  content: "\f556"; }
+
+.fa-cookie-bite::before {
+  content: "\f564"; }
+
+.fa-arrow-trend-down::before {
+  content: "\e097"; }
+
+.fa-rss::before {
+  content: "\f09e"; }
+
+.fa-feed::before {
+  content: "\f09e"; }
+
+.fa-draw-polygon::before {
+  content: "\f5ee"; }
+
+.fa-scale-balanced::before {
+  content: "\f24e"; }
+
+.fa-balance-scale::before {
+  content: "\f24e"; }
+
+.fa-gauge-simple-high::before {
+  content: "\f62a"; }
+
+.fa-tachometer::before {
+  content: "\f62a"; }
+
+.fa-tachometer-fast::before {
+  content: "\f62a"; }
+
+.fa-shower::before {
+  content: "\f2cc"; }
+
+.fa-desktop::before {
+  content: "\f390"; }
+
+.fa-desktop-alt::before {
+  content: "\f390"; }
+
+.fa-m::before {
+  content: "\4d"; }
+
+.fa-table-list::before {
+  content: "\f00b"; }
+
+.fa-th-list::before {
+  content: "\f00b"; }
+
+.fa-comment-sms::before {
+  content: "\f7cd"; }
+
+.fa-sms::before {
+  content: "\f7cd"; }
+
+.fa-book::before {
+  content: "\f02d"; }
+
+.fa-user-plus::before {
+  content: "\f234"; }
+
+.fa-check::before {
+  content: "\f00c"; }
+
+.fa-battery-three-quarters::before {
+  content: "\f241"; }
+
+.fa-battery-4::before {
+  content: "\f241"; }
+
+.fa-house-circle-check::before {
+  content: "\e509"; }
+
+.fa-angle-left::before {
+  content: "\f104"; }
+
+.fa-diagram-successor::before {
+  content: "\e47a"; }
+
+.fa-truck-arrow-right::before {
+  content: "\e58b"; }
+
+.fa-arrows-split-up-and-left::before {
+  content: "\e4bc"; }
+
+.fa-hand-fist::before {
+  content: "\f6de"; }
+
+.fa-fist-raised::before {
+  content: "\f6de"; }
+
+.fa-cloud-moon::before {
+  content: "\f6c3"; }
+
+.fa-briefcase::before {
+  content: "\f0b1"; }
+
+.fa-person-falling::before {
+  content: "\e546"; }
+
+.fa-image-portrait::before {
+  content: "\f3e0"; }
+
+.fa-portrait::before {
+  content: "\f3e0"; }
+
+.fa-user-tag::before {
+  content: "\f507"; }
+
+.fa-rug::before {
+  content: "\e569"; }
+
+.fa-earth-europe::before {
+  content: "\f7a2"; }
+
+.fa-globe-europe::before {
+  content: "\f7a2"; }
+
+.fa-cart-flatbed-suitcase::before {
+  content: "\f59d"; }
+
+.fa-luggage-cart::before {
+  content: "\f59d"; }
+
+.fa-rectangle-xmark::before {
+  content: "\f410"; }
+
+.fa-rectangle-times::before {
+  content: "\f410"; }
+
+.fa-times-rectangle::before {
+  content: "\f410"; }
+
+.fa-window-close::before {
+  content: "\f410"; }
+
+.fa-baht-sign::before {
+  content: "\e0ac"; }
+
+.fa-book-open::before {
+  content: "\f518"; }
+
+.fa-book-journal-whills::before {
+  content: "\f66a"; }
+
+.fa-journal-whills::before {
+  content: "\f66a"; }
+
+.fa-handcuffs::before {
+  content: "\e4f8"; }
+
+.fa-triangle-exclamation::before {
+  content: "\f071"; }
+
+.fa-exclamation-triangle::before {
+  content: "\f071"; }
+
+.fa-warning::before {
+  content: "\f071"; }
+
+.fa-database::before {
+  content: "\f1c0"; }
+
+.fa-share::before {
+  content: "\f064"; }
+
+.fa-arrow-turn-right::before {
+  content: "\f064"; }
+
+.fa-mail-forward::before {
+  content: "\f064"; }
+
+.fa-bottle-droplet::before {
+  content: "\e4c4"; }
+
+.fa-mask-face::before {
+  content: "\e1d7"; }
+
+.fa-hill-rockslide::before {
+  content: "\e508"; }
+
+.fa-right-left::before {
+  content: "\f362"; }
+
+.fa-exchange-alt::before {
+  content: "\f362"; }
+
+.fa-paper-plane::before {
+  content: "\f1d8"; }
+
+.fa-road-circle-exclamation::before {
+  content: "\e565"; }
+
+.fa-dungeon::before {
+  content: "\f6d9"; }
+
+.fa-align-right::before {
+  content: "\f038"; }
+
+.fa-money-bill-1-wave::before {
+  content: "\f53b"; }
+
+.fa-money-bill-wave-alt::before {
+  content: "\f53b"; }
+
+.fa-life-ring::before {
+  content: "\f1cd"; }
+
+.fa-hands::before {
+  content: "\f2a7"; }
+
+.fa-sign-language::before {
+  content: "\f2a7"; }
+
+.fa-signing::before {
+  content: "\f2a7"; }
+
+.fa-calendar-day::before {
+  content: "\f783"; }
+
+.fa-water-ladder::before {
+  content: "\f5c5"; }
+
+.fa-ladder-water::before {
+  content: "\f5c5"; }
+
+.fa-swimming-pool::before {
+  content: "\f5c5"; }
+
+.fa-arrows-up-down::before {
+  content: "\f07d"; }
+
+.fa-arrows-v::before {
+  content: "\f07d"; }
+
+.fa-face-grimace::before {
+  content: "\f57f"; }
+
+.fa-grimace::before {
+  content: "\f57f"; }
+
+.fa-wheelchair-move::before {
+  content: "\e2ce"; }
+
+.fa-wheelchair-alt::before {
+  content: "\e2ce"; }
+
+.fa-turn-down::before {
+  content: "\f3be"; }
+
+.fa-level-down-alt::before {
+  content: "\f3be"; }
+
+.fa-person-walking-arrow-right::before {
+  content: "\e552"; }
+
+.fa-square-envelope::before {
+  content: "\f199"; }
+
+.fa-envelope-square::before {
+  content: "\f199"; }
+
+.fa-dice::before {
+  content: "\f522"; }
+
+.fa-bowling-ball::before {
+  content: "\f436"; }
+
+.fa-brain::before {
+  content: "\f5dc"; }
+
+.fa-bandage::before {
+  content: "\f462"; }
+
+.fa-band-aid::before {
+  content: "\f462"; }
+
+.fa-calendar-minus::before {
+  content: "\f272"; }
+
+.fa-circle-xmark::before {
+  content: "\f057"; }
+
+.fa-times-circle::before {
+  content: "\f057"; }
+
+.fa-xmark-circle::before {
+  content: "\f057"; }
+
+.fa-gifts::before {
+  content: "\f79c"; }
+
+.fa-hotel::before {
+  content: "\f594"; }
+
+.fa-earth-asia::before {
+  content: "\f57e"; }
+
+.fa-globe-asia::before {
+  content: "\f57e"; }
+
+.fa-id-card-clip::before {
+  content: "\f47f"; }
+
+.fa-id-card-alt::before {
+  content: "\f47f"; }
+
+.fa-magnifying-glass-plus::before {
+  content: "\f00e"; }
+
+.fa-search-plus::before {
+  content: "\f00e"; }
+
+.fa-thumbs-up::before {
+  content: "\f164"; }
+
+.fa-user-clock::before {
+  content: "\f4fd"; }
+
+.fa-hand-dots::before {
+  content: "\f461"; }
+
+.fa-allergies::before {
+  content: "\f461"; }
+
+.fa-file-invoice::before {
+  content: "\f570"; }
+
+.fa-window-minimize::before {
+  content: "\f2d1"; }
+
+.fa-mug-saucer::before {
+  content: "\f0f4"; }
+
+.fa-coffee::before {
+  content: "\f0f4"; }
+
+.fa-brush::before {
+  content: "\f55d"; }
+
+.fa-mask::before {
+  content: "\f6fa"; }
+
+.fa-magnifying-glass-minus::before {
+  content: "\f010"; }
+
+.fa-search-minus::before {
+  content: "\f010"; }
+
+.fa-ruler-vertical::before {
+  content: "\f548"; }
+
+.fa-user-large::before {
+  content: "\f406"; }
+
+.fa-user-alt::before {
+  content: "\f406"; }
+
+.fa-train-tram::before {
+  content: "\e5b4"; }
+
+.fa-user-nurse::before {
+  content: "\f82f"; }
+
+.fa-syringe::before {
+  content: "\f48e"; }
+
+.fa-cloud-sun::before {
+  content: "\f6c4"; }
+
+.fa-stopwatch-20::before {
+  content: "\e06f"; }
+
+.fa-square-full::before {
+  content: "\f45c"; }
+
+.fa-magnet::before {
+  content: "\f076"; }
+
+.fa-jar::before {
+  content: "\e516"; }
+
+.fa-note-sticky::before {
+  content: "\f249"; }
+
+.fa-sticky-note::before {
+  content: "\f249"; }
+
+.fa-bug-slash::before {
+  content: "\e490"; }
+
+.fa-arrow-up-from-water-pump::before {
+  content: "\e4b6"; }
+
+.fa-bone::before {
+  content: "\f5d7"; }
+
+.fa-user-injured::before {
+  content: "\f728"; }
+
+.fa-face-sad-tear::before {
+  content: "\f5b4"; }
+
+.fa-sad-tear::before {
+  content: "\f5b4"; }
+
+.fa-plane::before {
+  content: "\f072"; }
+
+.fa-tent-arrows-down::before {
+  content: "\e581"; }
+
+.fa-exclamation::before {
+  content: "\21"; }
+
+.fa-arrows-spin::before {
+  content: "\e4bb"; }
+
+.fa-print::before {
+  content: "\f02f"; }
+
+.fa-turkish-lira-sign::before {
+  content: "\e2bb"; }
+
+.fa-try::before {
+  content: "\e2bb"; }
+
+.fa-turkish-lira::before {
+  content: "\e2bb"; }
+
+.fa-dollar-sign::before {
+  content: "\24"; }
+
+.fa-dollar::before {
+  content: "\24"; }
+
+.fa-usd::before {
+  content: "\24"; }
+
+.fa-x::before {
+  content: "\58"; }
+
+.fa-magnifying-glass-dollar::before {
+  content: "\f688"; }
+
+.fa-search-dollar::before {
+  content: "\f688"; }
+
+.fa-users-gear::before {
+  content: "\f509"; }
+
+.fa-users-cog::before {
+  content: "\f509"; }
+
+.fa-person-military-pointing::before {
+  content: "\e54a"; }
+
+.fa-building-columns::before {
+  content: "\f19c"; }
+
+.fa-bank::before {
+  content: "\f19c"; }
+
+.fa-institution::before {
+  content: "\f19c"; }
+
+.fa-museum::before {
+  content: "\f19c"; }
+
+.fa-university::before {
+  content: "\f19c"; }
+
+.fa-umbrella::before {
+  content: "\f0e9"; }
+
+.fa-trowel::before {
+  content: "\e589"; }
+
+.fa-d::before {
+  content: "\44"; }
+
+.fa-stapler::before {
+  content: "\e5af"; }
+
+.fa-masks-theater::before {
+  content: "\f630"; }
+
+.fa-theater-masks::before {
+  content: "\f630"; }
+
+.fa-kip-sign::before {
+  content: "\e1c4"; }
+
+.fa-hand-point-left::before {
+  content: "\f0a5"; }
+
+.fa-handshake-simple::before {
+  content: "\f4c6"; }
+
+.fa-handshake-alt::before {
+  content: "\f4c6"; }
+
+.fa-jet-fighter::before {
+  content: "\f0fb"; }
+
+.fa-fighter-jet::before {
+  content: "\f0fb"; }
+
+.fa-square-share-nodes::before {
+  content: "\f1e1"; }
+
+.fa-share-alt-square::before {
+  content: "\f1e1"; }
+
+.fa-barcode::before {
+  content: "\f02a"; }
+
+.fa-plus-minus::before {
+  content: "\e43c"; }
+
+.fa-video::before {
+  content: "\f03d"; }
+
+.fa-video-camera::before {
+  content: "\f03d"; }
+
+.fa-graduation-cap::before {
+  content: "\f19d"; }
+
+.fa-mortar-board::before {
+  content: "\f19d"; }
+
+.fa-hand-holding-medical::before {
+  content: "\e05c"; }
+
+.fa-person-circle-check::before {
+  content: "\e53e"; }
+
+.fa-turn-up::before {
+  content: "\f3bf"; }
+
+.fa-level-up-alt::before {
+  content: "\f3bf"; }
+
+.sr-only,
+.fa-sr-only {
+  position: absolute;
+  width: 1px;
+  height: 1px;
+  padding: 0;
+  margin: -1px;
+  overflow: hidden;
+  clip: rect(0, 0, 0, 0);
+  white-space: nowrap;
+  border-width: 0; }
+
+.sr-only-focusable:not(:focus),
+.fa-sr-only-focusable:not(:focus) {
+  position: absolute;
+  width: 1px;
+  height: 1px;
+  padding: 0;
+  margin: -1px;
+  overflow: hidden;
+  clip: rect(0, 0, 0, 0);
+  white-space: nowrap;
+  border-width: 0; }
+:root, :host {
+  --fa-style-family-brands: 'Font Awesome 6 Brands';
+  --fa-font-brands: normal 400 1em/1 'Font Awesome 6 Brands'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Brands';
+  font-style: normal;
+  font-weight: 400;
+  font-display: block;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+.fab,
+.fa-brands {
+  font-weight: 400; }
+
+.fa-monero:before {
+  content: "\f3d0"; }
+
+.fa-hooli:before {
+  content: "\f427"; }
+
+.fa-yelp:before {
+  content: "\f1e9"; }
+
+.fa-cc-visa:before {
+  content: "\f1f0"; }
+
+.fa-lastfm:before {
+  content: "\f202"; }
+
+.fa-shopware:before {
+  content: "\f5b5"; }
+
+.fa-creative-commons-nc:before {
+  content: "\f4e8"; }
+
+.fa-aws:before {
+  content: "\f375"; }
+
+.fa-redhat:before {
+  content: "\f7bc"; }
+
+.fa-yoast:before {
+  content: "\f2b1"; }
+
+.fa-cloudflare:before {
+  content: "\e07d"; }
+
+.fa-ups:before {
+  content: "\f7e0"; }
+
+.fa-wpexplorer:before {
+  content: "\f2de"; }
+
+.fa-dyalog:before {
+  content: "\f399"; }
+
+.fa-bity:before {
+  content: "\f37a"; }
+
+.fa-stackpath:before {
+  content: "\f842"; }
+
+.fa-buysellads:before {
+  content: "\f20d"; }
+
+.fa-first-order:before {
+  content: "\f2b0"; }
+
+.fa-modx:before {
+  content: "\f285"; }
+
+.fa-guilded:before {
+  content: "\e07e"; }
+
+.fa-vnv:before {
+  content: "\f40b"; }
+
+.fa-square-js:before {
+  content: "\f3b9"; }
+
+.fa-js-square:before {
+  content: "\f3b9"; }
+
+.fa-microsoft:before {
+  content: "\f3ca"; }
+
+.fa-qq:before {
+  content: "\f1d6"; }
+
+.fa-orcid:before {
+  content: "\f8d2"; }
+
+.fa-java:before {
+  content: "\f4e4"; }
+
+.fa-invision:before {
+  content: "\f7b0"; }
+
+.fa-creative-commons-pd-alt:before {
+  content: "\f4ed"; }
+
+.fa-centercode:before {
+  content: "\f380"; }
+
+.fa-glide-g:before {
+  content: "\f2a6"; }
+
+.fa-drupal:before {
+  content: "\f1a9"; }
+
+.fa-hire-a-helper:before {
+  content: "\f3b0"; }
+
+.fa-creative-commons-by:before {
+  content: "\f4e7"; }
+
+.fa-unity:before {
+  content: "\e049"; }
+
+.fa-whmcs:before {
+  content: "\f40d"; }
+
+.fa-rocketchat:before {
+  content: "\f3e8"; }
+
+.fa-vk:before {
+  content: "\f189"; }
+
+.fa-untappd:before {
+  content: "\f405"; }
+
+.fa-mailchimp:before {
+  content: "\f59e"; }
+
+.fa-css3-alt:before {
+  content: "\f38b"; }
+
+.fa-square-reddit:before {
+  content: "\f1a2"; }
+
+.fa-reddit-square:before {
+  content: "\f1a2"; }
+
+.fa-vimeo-v:before {
+  content: "\f27d"; }
+
+.fa-contao:before {
+  content: "\f26d"; }
+
+.fa-square-font-awesome:before {
+  content: "\e5ad"; }
+
+.fa-deskpro:before {
+  content: "\f38f"; }
+
+.fa-sistrix:before {
+  content: "\f3ee"; }
+
+.fa-square-instagram:before {
+  content: "\e055"; }
+
+.fa-instagram-square:before {
+  content: "\e055"; }
+
+.fa-battle-net:before {
+  content: "\f835"; }
+
+.fa-the-red-yeti:before {
+  content: "\f69d"; }
+
+.fa-square-hacker-news:before {
+  content: "\f3af"; }
+
+.fa-hacker-news-square:before {
+  content: "\f3af"; }
+
+.fa-edge:before {
+  content: "\f282"; }
+
+.fa-threads:before {
+  content: "\e618"; }
+
+.fa-napster:before {
+  content: "\f3d2"; }
+
+.fa-square-snapchat:before {
+  content: "\f2ad"; }
+
+.fa-snapchat-square:before {
+  content: "\f2ad"; }
+
+.fa-google-plus-g:before {
+  content: "\f0d5"; }
+
+.fa-artstation:before {
+  content: "\f77a"; }
+
+.fa-markdown:before {
+  content: "\f60f"; }
+
+.fa-sourcetree:before {
+  content: "\f7d3"; }
+
+.fa-google-plus:before {
+  content: "\f2b3"; }
+
+.fa-diaspora:before {
+  content: "\f791"; }
+
+.fa-foursquare:before {
+  content: "\f180"; }
+
+.fa-stack-overflow:before {
+  content: "\f16c"; }
+
+.fa-github-alt:before {
+  content: "\f113"; }
+
+.fa-phoenix-squadron:before {
+  content: "\f511"; }
+
+.fa-pagelines:before {
+  content: "\f18c"; }
+
+.fa-algolia:before {
+  content: "\f36c"; }
+
+.fa-red-river:before {
+  content: "\f3e3"; }
+
+.fa-creative-commons-sa:before {
+  content: "\f4ef"; }
+
+.fa-safari:before {
+  content: "\f267"; }
+
+.fa-google:before {
+  content: "\f1a0"; }
+
+.fa-square-font-awesome-stroke:before {
+  content: "\f35c"; }
+
+.fa-font-awesome-alt:before {
+  content: "\f35c"; }
+
+.fa-atlassian:before {
+  content: "\f77b"; }
+
+.fa-linkedin-in:before {
+  content: "\f0e1"; }
+
+.fa-digital-ocean:before {
+  content: "\f391"; }
+
+.fa-nimblr:before {
+  content: "\f5a8"; }
+
+.fa-chromecast:before {
+  content: "\f838"; }
+
+.fa-evernote:before {
+  content: "\f839"; }
+
+.fa-hacker-news:before {
+  content: "\f1d4"; }
+
+.fa-creative-commons-sampling:before {
+  content: "\f4f0"; }
+
+.fa-adversal:before {
+  content: "\f36a"; }
+
+.fa-creative-commons:before {
+  content: "\f25e"; }
+
+.fa-watchman-monitoring:before {
+  content: "\e087"; }
+
+.fa-fonticons:before {
+  content: "\f280"; }
+
+.fa-weixin:before {
+  content: "\f1d7"; }
+
+.fa-shirtsinbulk:before {
+  content: "\f214"; }
+
+.fa-codepen:before {
+  content: "\f1cb"; }
+
+.fa-git-alt:before {
+  content: "\f841"; }
+
+.fa-lyft:before {
+  content: "\f3c3"; }
+
+.fa-rev:before {
+  content: "\f5b2"; }
+
+.fa-windows:before {
+  content: "\f17a"; }
+
+.fa-wizards-of-the-coast:before {
+  content: "\f730"; }
+
+.fa-square-viadeo:before {
+  content: "\f2aa"; }
+
+.fa-viadeo-square:before {
+  content: "\f2aa"; }
+
+.fa-meetup:before {
+  content: "\f2e0"; }
+
+.fa-centos:before {
+  content: "\f789"; }
+
+.fa-adn:before {
+  content: "\f170"; }
+
+.fa-cloudsmith:before {
+  content: "\f384"; }
+
+.fa-pied-piper-alt:before {
+  content: "\f1a8"; }
+
+.fa-square-dribbble:before {
+  content: "\f397"; }
+
+.fa-dribbble-square:before {
+  content: "\f397"; }
+
+.fa-codiepie:before {
+  content: "\f284"; }
+
+.fa-node:before {
+  content: "\f419"; }
+
+.fa-mix:before {
+  content: "\f3cb"; }
+
+.fa-steam:before {
+  content: "\f1b6"; }
+
+.fa-cc-apple-pay:before {
+  content: "\f416"; }
+
+.fa-scribd:before {
+  content: "\f28a"; }
+
+.fa-debian:before {
+  content: "\e60b"; }
+
+.fa-openid:before {
+  content: "\f19b"; }
+
+.fa-instalod:before {
+  content: "\e081"; }
+
+.fa-expeditedssl:before {
+  content: "\f23e"; }
+
+.fa-sellcast:before {
+  content: "\f2da"; }
+
+.fa-square-twitter:before {
+  content: "\f081"; }
+
+.fa-twitter-square:before {
+  content: "\f081"; }
+
+.fa-r-project:before {
+  content: "\f4f7"; }
+
+.fa-delicious:before {
+  content: "\f1a5"; }
+
+.fa-freebsd:before {
+  content: "\f3a4"; }
+
+.fa-vuejs:before {
+  content: "\f41f"; }
+
+.fa-accusoft:before {
+  content: "\f369"; }
+
+.fa-ioxhost:before {
+  content: "\f208"; }
+
+.fa-fonticons-fi:before {
+  content: "\f3a2"; }
+
+.fa-app-store:before {
+  content: "\f36f"; }
+
+.fa-cc-mastercard:before {
+  content: "\f1f1"; }
+
+.fa-itunes-note:before {
+  content: "\f3b5"; }
+
+.fa-golang:before {
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+  content: "\f3e6"; }
+
+.fa-suse:before {
+  content: "\f7d6"; }
+
+.fa-jenkins:before {
+  content: "\f3b6"; }
+
+.fa-twitter:before {
+  content: "\f099"; }
+
+.fa-rockrms:before {
+  content: "\f3e9"; }
+
+.fa-pinterest:before {
+  content: "\f0d2"; }
+
+.fa-buffer:before {
+  content: "\f837"; }
+
+.fa-npm:before {
+  content: "\f3d4"; }
+
+.fa-yammer:before {
+  content: "\f840"; }
+
+.fa-btc:before {
+  content: "\f15a"; }
+
+.fa-dribbble:before {
+  content: "\f17d"; }
+
+.fa-stumbleupon-circle:before {
+  content: "\f1a3"; }
+
+.fa-internet-explorer:before {
+  content: "\f26b"; }
+
+.fa-stubber:before {
+  content: "\e5c7"; }
+
+.fa-telegram:before {
+  content: "\f2c6"; }
+
+.fa-telegram-plane:before {
+  content: "\f2c6"; }
+
+.fa-old-republic:before {
+  content: "\f510"; }
+
+.fa-odysee:before {
+  content: "\e5c6"; }
+
+.fa-square-whatsapp:before {
+  content: "\f40c"; }
+
+.fa-whatsapp-square:before {
+  content: "\f40c"; }
+
+.fa-node-js:before {
+  content: "\f3d3"; }
+
+.fa-edge-legacy:before {
+  content: "\e078"; }
+
+.fa-slack:before {
+  content: "\f198"; }
+
+.fa-slack-hash:before {
+  content: "\f198"; }
+
+.fa-medrt:before {
+  content: "\f3c8"; }
+
+.fa-usb:before {
+  content: "\f287"; }
+
+.fa-tumblr:before {
+  content: "\f173"; }
+
+.fa-vaadin:before {
+  content: "\f408"; }
+
+.fa-quora:before {
+  content: "\f2c4"; }
+
+.fa-square-x-twitter:before {
+  content: "\e61a"; }
+
+.fa-reacteurope:before {
+  content: "\f75d"; }
+
+.fa-medium:before {
+  content: "\f23a"; }
+
+.fa-medium-m:before {
+  content: "\f23a"; }
+
+.fa-amilia:before {
+  content: "\f36d"; }
+
+.fa-mixcloud:before {
+  content: "\f289"; }
+
+.fa-flipboard:before {
+  content: "\f44d"; }
+
+.fa-viacoin:before {
+  content: "\f237"; }
+
+.fa-critical-role:before {
+  content: "\f6c9"; }
+
+.fa-sitrox:before {
+  content: "\e44a"; }
+
+.fa-discourse:before {
+  content: "\f393"; }
+
+.fa-joomla:before {
+  content: "\f1aa"; }
+
+.fa-mastodon:before {
+  content: "\f4f6"; }
+
+.fa-airbnb:before {
+  content: "\f834"; }
+
+.fa-wolf-pack-battalion:before {
+  content: "\f514"; }
+
+.fa-buy-n-large:before {
+  content: "\f8a6"; }
+
+.fa-gulp:before {
+  content: "\f3ae"; }
+
+.fa-creative-commons-sampling-plus:before {
+  content: "\f4f1"; }
+
+.fa-strava:before {
+  content: "\f428"; }
+
+.fa-ember:before {
+  content: "\f423"; }
+
+.fa-canadian-maple-leaf:before {
+  content: "\f785"; }
+
+.fa-teamspeak:before {
+  content: "\f4f9"; }
+
+.fa-pushed:before {
+  content: "\f3e1"; }
+
+.fa-wordpress-simple:before {
+  content: "\f411"; }
+
+.fa-nutritionix:before {
+  content: "\f3d6"; }
+
+.fa-wodu:before {
+  content: "\e088"; }
+
+.fa-google-pay:before {
+  content: "\e079"; }
+
+.fa-intercom:before {
+  content: "\f7af"; }
+
+.fa-zhihu:before {
+  content: "\f63f"; }
+
+.fa-korvue:before {
+  content: "\f42f"; }
+
+.fa-pix:before {
+  content: "\e43a"; }
+
+.fa-steam-symbol:before {
+  content: "\f3f6"; }
+:root, :host {
+  --fa-style-family-classic: 'Font Awesome 6 Free';
+  --fa-font-regular: normal 400 1em/1 'Font Awesome 6 Free'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Free';
+  font-style: normal;
+  font-weight: 400;
+  font-display: block;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+
+.far,
+.fa-regular {
+  font-weight: 400; }
+:root, :host {
+  --fa-style-family-classic: 'Font Awesome 6 Free';
+  --fa-font-solid: normal 900 1em/1 'Font Awesome 6 Free'; }
+
+@font-face {
+  font-family: 'Font Awesome 6 Free';
+  font-style: normal;
+  font-weight: 900;
+  font-display: block;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+.fas,
+.fa-solid {
+  font-weight: 900; }
+@font-face {
+  font-family: 'Font Awesome 5 Brands';
+  font-display: block;
+  font-weight: 400;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'Font Awesome 5 Free';
+  font-display: block;
+  font-weight: 900;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'Font Awesome 5 Free';
+  font-display: block;
+  font-weight: 400;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-solid-900.woff2") format("woff2"), url("../webfonts/fa-solid-900.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-regular-400.woff2") format("woff2"), url("../webfonts/fa-regular-400.ttf") format("truetype"); }
+
+@font-face {
+  font-family: 'FontAwesome';
+  font-display: block;
+  src: url("../webfonts/fa-v4compatibility.woff2") format("woff2"), url("../webfonts/fa-v4compatibility.ttf") format("truetype"); }
diff --git a/latest-tag/deps/font-awesome-6.4.2/css/all.min.css b/latest-tag/deps/font-awesome-6.4.2/css/all.min.css
new file mode 100644
index 00000000..6604a067
--- /dev/null
+++ b/latest-tag/deps/font-awesome-6.4.2/css/all.min.css
@@ -0,0 +1,9 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa{font-family:var(--fa-style-family,"Font Awesome 6 Free");font-weight:var(--fa-style,900)}.fa,.fa-brands,.fa-classic,.fa-regular,.fa-sharp,.fa-solid,.fab,.far,.fas{-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;display:var(--fa-display,inline-block);font-style:normal;font-variant:normal;line-height:1;text-rendering:auto}.fa-classic,.fa-regular,.fa-solid,.far,.fas{font-family:"Font Awesome 6 Free"}.fa-brands,.fab{font-family:"Font Awesome 6 Brands"}.fa-1x{font-size:1em}.fa-2x{font-size:2em}.fa-3x{font-size:3em}.fa-4x{font-size:4em}.fa-5x{font-size:5em}.fa-6x{font-size:6em}.fa-7x{font-size:7em}.fa-8x{font-size:8em}.fa-9x{font-size:9em}.fa-10x{font-size:10em}.fa-2xs{font-size:.625em;line-height:.1em;vertical-align:.225em}.fa-xs{font-size:.75em;line-height:.08333em;vertical-align:.125em}.fa-sm{font-size:.875em;line-height:.07143em;vertical-align:.05357em}.fa-lg{font-size:1.25em;line-height:.05em;vertical-align:-.075em}.fa-xl{font-size:1.5em;line-height:.04167em;vertical-align:-.125em}.fa-2xl{font-size:2em;line-height:.03125em;vertical-align:-.1875em}.fa-fw{text-align:center;width:1.25em}.fa-ul{list-style-type:none;margin-left:var(--fa-li-margin,2.5em);padding-left:0}.fa-ul>li{position:relative}.fa-li{left:calc(var(--fa-li-width, 2em)*-1);position:absolute;text-align:center;width:var(--fa-li-width,2em);line-height:inherit}.fa-border{border-radius:var(--fa-border-radius,.1em);border:var(--fa-border-width,.08em) var(--fa-border-style,solid) var(--fa-border-color,#eee);padding:var(--fa-border-padding,.2em .25em .15em)}.fa-pull-left{float:left;margin-right:var(--fa-pull-margin,.3em)}.fa-pull-right{float:right;margin-left:var(--fa-pull-margin,.3em)}.fa-beat{-webkit-animation-name:fa-beat;animation-name:fa-beat;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,ease-in-out);animation-timing-function:var(--fa-animation-timing,ease-in-out)}.fa-bounce{-webkit-animation-name:fa-bounce;animation-name:fa-bounce;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.28,.84,.42,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.28,.84,.42,1))}.fa-fade{-webkit-animation-name:fa-fade;animation-name:fa-fade;-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1))}.fa-beat-fade,.fa-fade{-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s)}.fa-beat-fade{-webkit-animation-name:fa-beat-fade;animation-name:fa-beat-fade;-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1));animation-timing-function:var(--fa-animation-timing,cubic-bezier(.4,0,.6,1))}.fa-flip{-webkit-animation-name:fa-flip;animation-name:fa-flip;-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,ease-in-out);animation-timing-function:var(--fa-animation-timing,ease-in-out)}.fa-shake{-webkit-animation-name:fa-shake;animation-name:fa-shake;-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,linear);animation-timing-function:var(--fa-animation-timing,linear)}.fa-shake,.fa-spin{-webkit-animation-delay:var(--fa-animation-delay,0s);animation-delay:var(--fa-animation-delay,0s);-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal)}.fa-spin{-webkit-animation-name:fa-spin;animation-name:fa-spin;-webkit-animation-duration:var(--fa-animation-duration,2s);animation-duration:var(--fa-animation-duration,2s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,linear);animation-timing-function:var(--fa-animation-timing,linear)}.fa-spin-reverse{--fa-animation-direction:reverse}.fa-pulse,.fa-spin-pulse{-webkit-animation-name:fa-spin;animation-name:fa-spin;-webkit-animation-direction:var(--fa-animation-direction,normal);animation-direction:var(--fa-animation-direction,normal);-webkit-animation-duration:var(--fa-animation-duration,1s);animation-duration:var(--fa-animation-duration,1s);-webkit-animation-iteration-count:var(--fa-animation-iteration-count,infinite);animation-iteration-count:var(--fa-animation-iteration-count,infinite);-webkit-animation-timing-function:var(--fa-animation-timing,steps(8));animation-timing-function:var(--fa-animation-timing,steps(8))}@media (prefers-reduced-motion:reduce){.fa-beat,.fa-beat-fade,.fa-bounce,.fa-fade,.fa-flip,.fa-pulse,.fa-shake,.fa-spin,.fa-spin-pulse{-webkit-animation-delay:-1ms;animation-delay:-1ms;-webkit-animation-duration:1ms;animation-duration:1ms;-webkit-animation-iteration-count:1;animation-iteration-count:1;-webkit-transition-delay:0s;transition-delay:0s;-webkit-transition-duration:0s;transition-duration:0s}}@-webkit-keyframes fa-beat{0%,90%{-webkit-transform:scale(1);transform:scale(1)}45%{-webkit-transform:scale(var(--fa-beat-scale,1.25));transform:scale(var(--fa-beat-scale,1.25))}}@keyframes fa-beat{0%,90%{-webkit-transform:scale(1);transform:scale(1)}45%{-webkit-transform:scale(var(--fa-beat-scale,1.25));transform:scale(var(--fa-beat-scale,1.25))}}@-webkit-keyframes fa-bounce{0%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}10%{-webkit-transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0);transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0)}30%{-webkit-transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em));transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em))}50%{-webkit-transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0);transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0)}57%{-webkit-transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em));transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em))}64%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}to{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}}@keyframes fa-bounce{0%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}10%{-webkit-transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0);transform:scale(var(--fa-bounce-start-scale-x,1.1),var(--fa-bounce-start-scale-y,.9)) translateY(0)}30%{-webkit-transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em));transform:scale(var(--fa-bounce-jump-scale-x,.9),var(--fa-bounce-jump-scale-y,1.1)) translateY(var(--fa-bounce-height,-.5em))}50%{-webkit-transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0);transform:scale(var(--fa-bounce-land-scale-x,1.05),var(--fa-bounce-land-scale-y,.95)) translateY(0)}57%{-webkit-transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em));transform:scale(1) translateY(var(--fa-bounce-rebound,-.125em))}64%{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}to{-webkit-transform:scale(1) translateY(0);transform:scale(1) translateY(0)}}@-webkit-keyframes fa-fade{50%{opacity:var(--fa-fade-opacity,.4)}}@keyframes fa-fade{50%{opacity:var(--fa-fade-opacity,.4)}}@-webkit-keyframes fa-beat-fade{0%,to{opacity:var(--fa-beat-fade-opacity,.4);-webkit-transform:scale(1);transform:scale(1)}50%{opacity:1;-webkit-transform:scale(var(--fa-beat-fade-scale,1.125));transform:scale(var(--fa-beat-fade-scale,1.125))}}@keyframes fa-beat-fade{0%,to{opacity:var(--fa-beat-fade-opacity,.4);-webkit-transform:scale(1);transform:scale(1)}50%{opacity:1;-webkit-transform:scale(var(--fa-beat-fade-scale,1.125));transform:scale(var(--fa-beat-fade-scale,1.125))}}@-webkit-keyframes fa-flip{50%{-webkit-transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg));transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg))}}@keyframes fa-flip{50%{-webkit-transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg));transform:rotate3d(var(--fa-flip-x,0),var(--fa-flip-y,1),var(--fa-flip-z,0),var(--fa-flip-angle,-180deg))}}@-webkit-keyframes fa-shake{0%{-webkit-transform:rotate(-15deg);transform:rotate(-15deg)}4%{-webkit-transform:rotate(15deg);transform:rotate(15deg)}8%,24%{-webkit-transform:rotate(-18deg);transform:rotate(-18deg)}12%,28%{-webkit-transform:rotate(18deg);transform:rotate(18deg)}16%{-webkit-transform:rotate(-22deg);transform:rotate(-22deg)}20%{-webkit-transform:rotate(22deg);transform:rotate(22deg)}32%{-webkit-transform:rotate(-12deg);transform:rotate(-12deg)}36%{-webkit-transform:rotate(12deg);transform:rotate(12deg)}40%,to{-webkit-transform:rotate(0deg);transform:rotate(0deg)}}@keyframes fa-shake{0%{-webkit-transform:rotate(-15deg);transform:rotate(-15deg)}4%{-webkit-transform:rotate(15deg);transform:rotate(15deg)}8%,24%{-webkit-transform:rotate(-18deg);transform:rotate(-18deg)}12%,28%{-webkit-transform:rotate(18deg);transform:rotate(18deg)}16%{-webkit-transform:rotate(-22deg);transform:rotate(-22deg)}20%{-webkit-transform:rotate(22deg);transform:rotate(22deg)}32%{-webkit-transform:rotate(-12deg);transform:rotate(-12deg)}36%{-webkit-transform:rotate(12deg);transform:rotate(12deg)}40%,to{-webkit-transform:rotate(0deg);transform:rotate(0deg)}}@-webkit-keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}to{-webkit-transform:rotate(1turn);transform:rotate(1turn)}}@keyframes 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+
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diff --git a/latest-tag/deps/font-awesome-6.4.2/css/v4-shims.css b/latest-tag/deps/font-awesome-6.4.2/css/v4-shims.css
new file mode 100644
index 00000000..a85953d1
--- /dev/null
+++ b/latest-tag/deps/font-awesome-6.4.2/css/v4-shims.css
@@ -0,0 +1,2194 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa.fa-glass:before {
+  content: "\f000"; }
+
+.fa.fa-envelope-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-envelope-o:before {
+  content: "\f0e0"; }
+
+.fa.fa-star-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-star-o:before {
+  content: "\f005"; }
+
+.fa.fa-remove:before {
+  content: "\f00d"; }
+
+.fa.fa-close:before {
+  content: "\f00d"; }
+
+.fa.fa-gear:before {
+  content: "\f013"; }
+
+.fa.fa-trash-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-trash-o:before {
+  content: "\f2ed"; }
+
+.fa.fa-home:before {
+  content: "\f015"; }
+
+.fa.fa-file-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-file-o:before {
+  content: "\f15b"; }
+
+.fa.fa-clock-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-clock-o:before {
+  content: "\f017"; }
+
+.fa.fa-arrow-circle-o-down {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-down:before {
+  content: "\f358"; }
+
+.fa.fa-arrow-circle-o-up {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-arrow-circle-o-up:before {
+  content: "\f35b"; }
+
+.fa.fa-play-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-play-circle-o:before {
+  content: "\f144"; }
+
+.fa.fa-repeat:before {
+  content: "\f01e"; }
+
+.fa.fa-rotate-right:before {
+  content: "\f01e"; }
+
+.fa.fa-refresh:before {
+  content: "\f021"; }
+
+.fa.fa-list-alt {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-list-alt:before {
+  content: "\f022"; }
+
+.fa.fa-dedent:before {
+  content: "\f03b"; }
+
+.fa.fa-video-camera:before {
+  content: "\f03d"; }
+
+.fa.fa-picture-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-picture-o:before {
+  content: "\f03e"; }
+
+.fa.fa-photo {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-photo:before {
+  content: "\f03e"; }
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+.fa.fa-image {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-image:before {
+  content: "\f03e"; }
+
+.fa.fa-map-marker:before {
+  content: "\f3c5"; }
+
+.fa.fa-pencil-square-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-pencil-square-o:before {
+  content: "\f044"; }
+
+.fa.fa-edit {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-edit:before {
+  content: "\f044"; }
+
+.fa.fa-share-square-o:before {
+  content: "\f14d"; }
+
+.fa.fa-check-square-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-check-square-o:before {
+  content: "\f14a"; }
+
+.fa.fa-arrows:before {
+  content: "\f0b2"; }
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+.fa.fa-times-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-times-circle-o:before {
+  content: "\f057"; }
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+.fa.fa-check-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-check-circle-o:before {
+  content: "\f058"; }
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+.fa.fa-mail-forward:before {
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+.fa.fa-expand:before {
+  content: "\f424"; }
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+.fa.fa-compress:before {
+  content: "\f422"; }
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+.fa.fa-eye {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-eye-slash {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
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+.fa.fa-warning:before {
+  content: "\f071"; }
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+.fa.fa-calendar:before {
+  content: "\f073"; }
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+.fa.fa-arrows-v:before {
+  content: "\f338"; }
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+.fa.fa-arrows-h:before {
+  content: "\f337"; }
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+.fa.fa-bar-chart:before {
+  content: "\e0e3"; }
+
+.fa.fa-bar-chart-o:before {
+  content: "\e0e3"; }
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+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-pause-circle-o:before {
+  content: "\f28b"; }
+
+.fa.fa-stop-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-stop-circle-o:before {
+  content: "\f28d"; }
+
+.fa.fa-bluetooth {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-bluetooth-b {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-gitlab {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpbeginner {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpforms {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-envira {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wheelchair-alt {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wheelchair-alt:before {
+  content: "\f368"; }
+
+.fa.fa-question-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-question-circle-o:before {
+  content: "\f059"; }
+
+.fa.fa-volume-control-phone:before {
+  content: "\f2a0"; }
+
+.fa.fa-asl-interpreting:before {
+  content: "\f2a3"; }
+
+.fa.fa-deafness:before {
+  content: "\f2a4"; }
+
+.fa.fa-hard-of-hearing:before {
+  content: "\f2a4"; }
+
+.fa.fa-glide {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-glide-g {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-signing:before {
+  content: "\f2a7"; }
+
+.fa.fa-viadeo {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-viadeo-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-viadeo-square:before {
+  content: "\f2aa"; }
+
+.fa.fa-snapchat {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-ghost {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-ghost:before {
+  content: "\f2ab"; }
+
+.fa.fa-snapchat-square {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-snapchat-square:before {
+  content: "\f2ad"; }
+
+.fa.fa-pied-piper {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-first-order {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-yoast {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-themeisle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-official {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-official:before {
+  content: "\f2b3"; }
+
+.fa.fa-google-plus-circle {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-google-plus-circle:before {
+  content: "\f2b3"; }
+
+.fa.fa-font-awesome {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fa {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-fa:before {
+  content: "\f2b4"; }
+
+.fa.fa-handshake-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-handshake-o:before {
+  content: "\f2b5"; }
+
+.fa.fa-envelope-open-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-envelope-open-o:before {
+  content: "\f2b6"; }
+
+.fa.fa-linode {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-address-book-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-address-book-o:before {
+  content: "\f2b9"; }
+
+.fa.fa-vcard:before {
+  content: "\f2bb"; }
+
+.fa.fa-address-card-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-address-card-o:before {
+  content: "\f2bb"; }
+
+.fa.fa-vcard-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-vcard-o:before {
+  content: "\f2bb"; }
+
+.fa.fa-user-circle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-user-circle-o:before {
+  content: "\f2bd"; }
+
+.fa.fa-user-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-user-o:before {
+  content: "\f007"; }
+
+.fa.fa-id-badge {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-drivers-license:before {
+  content: "\f2c2"; }
+
+.fa.fa-id-card-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-id-card-o:before {
+  content: "\f2c2"; }
+
+.fa.fa-drivers-license-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-drivers-license-o:before {
+  content: "\f2c2"; }
+
+.fa.fa-quora {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-free-code-camp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-telegram {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-thermometer-4:before {
+  content: "\f2c7"; }
+
+.fa.fa-thermometer:before {
+  content: "\f2c7"; }
+
+.fa.fa-thermometer-3:before {
+  content: "\f2c8"; }
+
+.fa.fa-thermometer-2:before {
+  content: "\f2c9"; }
+
+.fa.fa-thermometer-1:before {
+  content: "\f2ca"; }
+
+.fa.fa-thermometer-0:before {
+  content: "\f2cb"; }
+
+.fa.fa-bathtub:before {
+  content: "\f2cd"; }
+
+.fa.fa-s15:before {
+  content: "\f2cd"; }
+
+.fa.fa-window-maximize {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-window-restore {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-times-rectangle:before {
+  content: "\f410"; }
+
+.fa.fa-window-close-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-window-close-o:before {
+  content: "\f410"; }
+
+.fa.fa-times-rectangle-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-times-rectangle-o:before {
+  content: "\f410"; }
+
+.fa.fa-bandcamp {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-grav {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-etsy {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-imdb {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-ravelry {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-eercast {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-eercast:before {
+  content: "\f2da"; }
+
+.fa.fa-snowflake-o {
+  font-family: 'Font Awesome 6 Free';
+  font-weight: 400; }
+
+.fa.fa-snowflake-o:before {
+  content: "\f2dc"; }
+
+.fa.fa-superpowers {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-wpexplorer {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
+
+.fa.fa-meetup {
+  font-family: 'Font Awesome 6 Brands';
+  font-weight: 400; }
diff --git a/latest-tag/deps/font-awesome-6.4.2/css/v4-shims.min.css b/latest-tag/deps/font-awesome-6.4.2/css/v4-shims.min.css
new file mode 100644
index 00000000..64e4e8d8
--- /dev/null
+++ b/latest-tag/deps/font-awesome-6.4.2/css/v4-shims.min.css
@@ -0,0 +1,6 @@
+/*!
+ * Font Awesome Free 6.4.2 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ * Copyright 2023 Fonticons, Inc.
+ */
+.fa.fa-glass:before{content:"\f000"}.fa.fa-envelope-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-envelope-o:before{content:"\f0e0"}.fa.fa-star-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-star-o:before{content:"\f005"}.fa.fa-close:before,.fa.fa-remove:before{content:"\f00d"}.fa.fa-gear:before{content:"\f013"}.fa.fa-trash-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-trash-o:before{content:"\f2ed"}.fa.fa-home:before{content:"\f015"}.fa.fa-file-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-file-o:before{content:"\f15b"}.fa.fa-clock-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-clock-o:before{content:"\f017"}.fa.fa-arrow-circle-o-down{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-arrow-circle-o-down:before{content:"\f358"}.fa.fa-arrow-circle-o-up{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-arrow-circle-o-up:before{content:"\f35b"}.fa.fa-play-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-play-circle-o:before{content:"\f144"}.fa.fa-repeat:before,.fa.fa-rotate-right:before{content:"\f01e"}.fa.fa-refresh:before{content:"\f021"}.fa.fa-list-alt{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-list-alt:before{content:"\f022"}.fa.fa-dedent:before{content:"\f03b"}.fa.fa-video-camera:before{content:"\f03d"}.fa.fa-picture-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-picture-o:before{content:"\f03e"}.fa.fa-photo{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-photo:before{content:"\f03e"}.fa.fa-image{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-image:before{content:"\f03e"}.fa.fa-map-marker:before{content:"\f3c5"}.fa.fa-pencil-square-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-pencil-square-o:before{content:"\f044"}.fa.fa-edit{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-edit:before{content:"\f044"}.fa.fa-share-square-o:before{content:"\f14d"}.fa.fa-check-square-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-check-square-o:before{content:"\f14a"}.fa.fa-arrows:before{content:"\f0b2"}.fa.fa-times-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-times-circle-o:before{content:"\f057"}.fa.fa-check-circle-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-check-circle-o:before{content:"\f058"}.fa.fa-mail-forward:before{content:"\f064"}.fa.fa-expand:before{content:"\f424"}.fa.fa-compress:before{content:"\f422"}.fa.fa-eye,.fa.fa-eye-slash{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-warning:before{content:"\f071"}.fa.fa-calendar:before{content:"\f073"}.fa.fa-arrows-v:before{content:"\f338"}.fa.fa-arrows-h:before{content:"\f337"}.fa.fa-bar-chart-o:before,.fa.fa-bar-chart:before{content:"\e0e3"}.fa.fa-twitter-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-twitter-square:before{content:"\f081"}.fa.fa-facebook-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-facebook-square:before{content:"\f082"}.fa.fa-gears:before{content:"\f085"}.fa.fa-thumbs-o-up{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-thumbs-o-up:before{content:"\f164"}.fa.fa-thumbs-o-down{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-thumbs-o-down:before{content:"\f165"}.fa.fa-heart-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-heart-o:before{content:"\f004"}.fa.fa-sign-out:before{content:"\f2f5"}.fa.fa-linkedin-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-linkedin-square:before{content:"\f08c"}.fa.fa-thumb-tack:before{content:"\f08d"}.fa.fa-external-link:before{content:"\f35d"}.fa.fa-sign-in:before{content:"\f2f6"}.fa.fa-github-square{font-family:"Font Awesome 6 Brands";font-weight:400}.fa.fa-github-square:before{content:"\f092"}.fa.fa-lemon-o{font-family:"Font Awesome 6 Free";font-weight:400}.fa.fa-lemon-o:before{content:"\f094"}.fa.fa-square-o{font-family:"Font Awesome 6 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diff --git a/latest-tag/deps/headroom-0.11.0/headroom.min.js b/latest-tag/deps/headroom-0.11.0/headroom.min.js
new file mode 100644
index 00000000..433069fd
--- /dev/null
+++ b/latest-tag/deps/headroom-0.11.0/headroom.min.js
@@ -0,0 +1,7 @@
+/*!
+ * headroom.js v0.11.0 - Give your page some headroom. Hide your header until you need it
+ * Copyright (c) 2020 Nick Williams - http://wicky.nillia.ms/headroom.js
+ * License: MIT
+ */
+
+!function(t,n){"object"==typeof exports&&"undefined"!=typeof module?module.exports=n():"function"==typeof define&&define.amd?define(n):(t=t||self).Headroom=n()}(this,function(){"use strict";function t(){return"undefined"!=typeof window}function d(t){return function(t){return t&&t.document&&function(t){return 9===t.nodeType}(t.document)}(t)?function(t){var n=t.document,o=n.body,s=n.documentElement;return{scrollHeight:function(){return Math.max(o.scrollHeight,s.scrollHeight,o.offsetHeight,s.offsetHeight,o.clientHeight,s.clientHeight)},height:function(){return t.innerHeight||s.clientHeight||o.clientHeight},scrollY:function(){return void 0!==t.pageYOffset?t.pageYOffset:(s||o.parentNode||o).scrollTop}}}(t):function(t){return{scrollHeight:function(){return Math.max(t.scrollHeight,t.offsetHeight,t.clientHeight)},height:function(){return Math.max(t.offsetHeight,t.clientHeight)},scrollY:function(){return t.scrollTop}}}(t)}function n(t,s,e){var n,o=function(){var n=!1;try{var t={get passive(){n=!0}};window.addEventListener("test",t,t),window.removeEventListener("test",t,t)}catch(t){n=!1}return n}(),i=!1,r=d(t),l=r.scrollY(),a={};function c(){var t=Math.round(r.scrollY()),n=r.height(),o=r.scrollHeight();a.scrollY=t,a.lastScrollY=l,a.direction=l<t?"down":"up",a.distance=Math.abs(t-l),a.isOutOfBounds=t<0||o<t+n,a.top=t<=s.offset,a.bottom=o<=t+n,a.toleranceExceeded=a.distance>s.tolerance[a.direction],e(a),l=t,i=!1}function h(){i||(i=!0,n=requestAnimationFrame(c))}var u=!!o&&{passive:!0,capture:!1};return t.addEventListener("scroll",h,u),c(),{destroy:function(){cancelAnimationFrame(n),t.removeEventListener("scroll",h,u)}}}function o(t,n){n=n||{},Object.assign(this,o.options,n),this.classes=Object.assign({},o.options.classes,n.classes),this.elem=t,this.tolerance=function(t){return t===Object(t)?t:{down:t,up:t}}(this.tolerance),this.initialised=!1,this.frozen=!1}return o.prototype={constructor:o,init:function(){return o.cutsTheMustard&&!this.initialised&&(this.addClass("initial"),this.initialised=!0,setTimeout(function(t){t.scrollTracker=n(t.scroller,{offset:t.offset,tolerance:t.tolerance},t.update.bind(t))},100,this)),this},destroy:function(){this.initialised=!1,Object.keys(this.classes).forEach(this.removeClass,this),this.scrollTracker.destroy()},unpin:function(){!this.hasClass("pinned")&&this.hasClass("unpinned")||(this.addClass("unpinned"),this.removeClass("pinned"),this.onUnpin&&this.onUnpin.call(this))},pin:function(){this.hasClass("unpinned")&&(this.addClass("pinned"),this.removeClass("unpinned"),this.onPin&&this.onPin.call(this))},freeze:function(){this.frozen=!0,this.addClass("frozen")},unfreeze:function(){this.frozen=!1,this.removeClass("frozen")},top:function(){this.hasClass("top")||(this.addClass("top"),this.removeClass("notTop"),this.onTop&&this.onTop.call(this))},notTop:function(){this.hasClass("notTop")||(this.addClass("notTop"),this.removeClass("top"),this.onNotTop&&this.onNotTop.call(this))},bottom:function(){this.hasClass("bottom")||(this.addClass("bottom"),this.removeClass("notBottom"),this.onBottom&&this.onBottom.call(this))},notBottom:function(){this.hasClass("notBottom")||(this.addClass("notBottom"),this.removeClass("bottom"),this.onNotBottom&&this.onNotBottom.call(this))},shouldUnpin:function(t){return"down"===t.direction&&!t.top&&t.toleranceExceeded},shouldPin:function(t){return"up"===t.direction&&t.toleranceExceeded||t.top},addClass:function(t){this.elem.classList.add.apply(this.elem.classList,this.classes[t].split(" "))},removeClass:function(t){this.elem.classList.remove.apply(this.elem.classList,this.classes[t].split(" "))},hasClass:function(t){return this.classes[t].split(" ").every(function(t){return this.classList.contains(t)},this.elem)},update:function(t){t.isOutOfBounds||!0!==this.frozen&&(t.top?this.top():this.notTop(),t.bottom?this.bottom():this.notBottom(),this.shouldUnpin(t)?this.unpin():this.shouldPin(t)&&this.pin())}},o.options={tolerance:{up:0,down:0},offset:0,scroller:t()?window:null,classes:{frozen:"headroom--frozen",pinned:"headroom--pinned",unpinned:"headroom--unpinned",top:"headroom--top",notTop:"headroom--not-top",bottom:"headroom--bottom",notBottom:"headroom--not-bottom",initial:"headroom"}},o.cutsTheMustard=!!(t()&&function(){}.bind&&"classList"in document.documentElement&&Object.assign&&Object.keys&&requestAnimationFrame),o});
\ No newline at end of file
diff --git a/latest-tag/deps/headroom-0.11.0/jQuery.headroom.min.js b/latest-tag/deps/headroom-0.11.0/jQuery.headroom.min.js
new file mode 100644
index 00000000..17f70c9e
--- /dev/null
+++ b/latest-tag/deps/headroom-0.11.0/jQuery.headroom.min.js
@@ -0,0 +1,7 @@
+/*!
+ * headroom.js v0.9.4 - Give your page some headroom. Hide your header until you need it
+ * Copyright (c) 2017 Nick Williams - http://wicky.nillia.ms/headroom.js
+ * License: MIT
+ */
+
+!function(a){a&&(a.fn.headroom=function(b){return this.each(function(){var c=a(this),d=c.data("headroom"),e="object"==typeof b&&b;e=a.extend(!0,{},Headroom.options,e),d||(d=new Headroom(this,e),d.init(),c.data("headroom",d)),"string"==typeof b&&(d[b](),"destroy"===b&&c.removeData("headroom"))})},a("[data-headroom]").each(function(){var b=a(this);b.headroom(b.data())}))}(window.Zepto||window.jQuery);
\ No newline at end of file
diff --git a/latest-tag/deps/search-1.0.0/autocomplete.jquery.min.js b/latest-tag/deps/search-1.0.0/autocomplete.jquery.min.js
new file mode 100644
index 00000000..fb63a6a2
--- /dev/null
+++ b/latest-tag/deps/search-1.0.0/autocomplete.jquery.min.js
@@ -0,0 +1,7 @@
+/*!
+ * autocomplete.js 0.38.0
+ * https://github.com/algolia/autocomplete.js
+ * Copyright 2020 Algolia, Inc. and other contributors; Licensed MIT
+ */
+!function(a){function b(d){if(c[d])return c[d].exports;var e=c[d]={exports:{},id:d,loaded:!1};return a[d].call(e.exports,e,e.exports,b),e.loaded=!0,e.exports}var c={};b.m=a,b.c=c,b.p="",b(0)}([function(a,b,c){"use strict";a.exports=c(1)},function(a,b,c){"use strict";var d=c(2),e=c(3);d.element=e;var f=c(4);f.isArray=e.isArray,f.isFunction=e.isFunction,f.isObject=e.isPlainObject,f.bind=e.proxy,f.each=function(a,b){function c(a,c){return b(c,a)}e.each(a,c)},f.map=e.map,f.mixin=e.extend,f.Event=e.Event;var g,h,i,j=c(5),k=c(6);g=e.fn.autocomplete,h="aaAutocomplete",i={initialize:function(a,b){function c(){var c,d=e(this),f=new k({el:d});c=new j({input:d,eventBus:f,dropdownMenuContainer:a.dropdownMenuContainer,hint:void 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a=this.input.getQuery();this.dropdown.isEmpty&&a.length>=this.minLength?this.dropdown.update(a):this.dropdown.moveCursorDown(),this.dropdown.open()},_onLeftKeyed:function(){"rtl"===this.dir&&this._autocomplete()},_onRightKeyed:function(){"ltr"===this.dir&&this._autocomplete()},_onQueryChanged:function(a,b){this.input.clearHintIfInvalid(),b.length>=this.minLength?this.dropdown.update(b):this.dropdown.empty(),this.dropdown.open(),this._setLanguageDirection()},_onWhitespaceChanged:function(){this._updateHint(),this.dropdown.open()},_setLanguageDirection:function(){var a=this.input.getLanguageDirection();this.dir!==a&&(this.dir=a,this.$node.css("direction",a),this.dropdown.setLanguageDirection(a))},_updateHint:function(){var a,b,c,d,e,f;a=this.dropdown.getDatumForTopSuggestion(),a&&this.dropdown.isVisible()&&!this.input.hasOverflow()?(b=this.input.getInputValue(),c=l.normalizeQuery(b),d=i.escapeRegExChars(c),e=new 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+var c=[].slice.call(arguments,1);this.cacheSuggestions(a,b,c),this._render.apply(this,[a,b].concat(c))}}if(this.query=a,this.canceled=!1,this.shouldFetchFromCache(a))b.apply(this,[this.cachedSuggestions].concat(this.cachedRenderExtraArgs));else{var c=this,d=function(){c.canceled||c.source(a,b.bind(c))};if(this.debounce){var e=function(){c.debounceTimeout=null,d()};clearTimeout(this.debounceTimeout),this.debounceTimeout=setTimeout(e,this.debounce)}else d()}},cacheSuggestions:function(a,b,c){this.cachedQuery=a,this.cachedSuggestions=b,this.cachedRenderExtraArgs=c},shouldFetchFromCache:function(a){return this.cache&&this.cachedQuery===a&&this.cachedSuggestions&&this.cachedSuggestions.length},clearCachedSuggestions:function(){delete this.cachedQuery,delete this.cachedSuggestions,delete this.cachedRenderExtraArgs},cancel:function(){this.canceled=!0},clear:function(){this.$el&&(this.cancel(),this.$el.empty(),this.trigger("rendered",""))},isEmpty:function(){return this._isEmpty},destroy:function(){this.clearCachedSuggestions(),this.$el=null}}),a.exports=d},function(a,b){"use strict";a.exports={wrapper:'<span class="%ROOT%"></span>',dropdown:'<span class="%PREFIX%%DROPDOWN_MENU%"></span>',dataset:'<div class="%PREFIX%%DATASET%-%CLASS%"></div>',suggestions:'<span class="%PREFIX%%SUGGESTIONS%"></span>',suggestion:'<div class="%PREFIX%%SUGGESTION%"></div>'}},function(a,b,c){"use strict";var d=c(4),e={wrapper:{position:"relative",display:"inline-block"},hint:{position:"absolute",top:"0",left:"0",borderColor:"transparent",boxShadow:"none",opacity:"1"},input:{position:"relative",verticalAlign:"top",backgroundColor:"transparent"},inputWithNoHint:{position:"relative",verticalAlign:"top"},dropdown:{position:"absolute",top:"100%",left:"0",zIndex:"100",display:"none"},suggestions:{display:"block"},suggestion:{whiteSpace:"nowrap",cursor:"pointer"},suggestionChild:{whiteSpace:"normal"},ltr:{left:"0",right:"auto"},rtl:{left:"auto",right:"0"},defaultClasses:{root:"algolia-autocomplete",prefix:"aa",noPrefix:!1,dropdownMenu:"dropdown-menu",input:"input",hint:"hint",suggestions:"suggestions",suggestion:"suggestion",cursor:"cursor",dataset:"dataset",empty:"empty"},appendTo:{wrapper:{position:"absolute",zIndex:"100",display:"none"},input:{},inputWithNoHint:{},dropdown:{display:"block"}}};d.isMsie()&&d.mixin(e.input,{backgroundImage:"url(data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)"}),d.isMsie()&&d.isMsie()<=7&&d.mixin(e.input,{marginTop:"-1px"}),a.exports=e},function(a,b,c){"use strict";a.exports={hits:c(21),popularIn:c(24)}},function(a,b,c){"use strict";var d=c(4),e=c(22),f=c(23),g=function(){function a(a,d){return window.Promise.resolve().then(function(){return b.length&&(e=a.search(b),b=[]),e}).then(function(a){if(a)return c=a.results,c[d]})}var b=[],c=[],e=window.Promise.resolve();return function(c,e){return function(f,g){a(c.as,b.push({indexName:c.indexName,query:f,params:e})-1).then(function(a){a&&g(a.hits,a)}).catch(function(a){d.error(a.message)})}}}();a.exports=function(a,b){var c=f(a.as._ua);if(c&&c[0]>=3&&c[1]>20){var d="autocomplete.js "+e;a.as._ua.indexOf(d)===-1&&(a.as._ua+="; "+d)}return g(a,b)}},function(a,b){a.exports="0.38.0"},function(a,b){"use strict";a.exports=function(a){var b=a.match(/Algolia for JavaScript \((\d+\.)(\d+\.)(\d+)\)/)||a.match(/Algolia for vanilla JavaScript (\d+\.)(\d+\.)(\d+)/);if(b)return[b[1],b[2],b[3]]}},function(a,b,c){"use strict";var d=c(4),e=c(22),f=c(23);a.exports=function(a,b,c,g){function h(h,i){a.search(h,b,function(a,h){if(a)return void d.error(a.message);if(h.hits.length>0){var l=h.hits[0],m=d.mixin({hitsPerPage:0},c);delete m.source,delete m.index;var n=f(k.as._ua);return n&&n[0]>=3&&n[1]>20&&(b.additionalUA="autocomplete.js "+e),void k.search(j(l),m,function(a,b){if(a)return void d.error(a.message);var c=[];if(g.includeAll){var e=g.allTitle||"All departments";c.push(d.mixin({facet:{value:e,count:b.nbHits}},d.cloneDeep(l)))}d.each(b.facets,function(a,b){d.each(a,function(a,e){c.push(d.mixin({facet:{facet:b,value:e,count:a}},d.cloneDeep(l)))})});for(var f=1;f<h.hits.length;++f)c.push(h.hits[f]);i(c,h)})}i([])})}var i=f(a.as._ua);if(i&&i[0]>=3&&i[1]>20&&(b=b||{},b.additionalUA="autocomplete.js "+e),!c.source)return d.error("Missing 'source' key");var j=d.isFunction(c.source)?c.source:function(a){return a[c.source]};if(!c.index)return d.error("Missing 'index' key");var k=c.index;return g=g||{},h}}]);
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diff --git a/latest-tag/deps/search-1.0.0/fuse.min.js b/latest-tag/deps/search-1.0.0/fuse.min.js
new file mode 100644
index 00000000..7def5985
--- /dev/null
+++ b/latest-tag/deps/search-1.0.0/fuse.min.js
@@ -0,0 +1,9 @@
+/**
+ * Fuse.js v6.4.6 - Lightweight fuzzy-search (http://fusejs.io)
+ *
+ * Copyright (c) 2021 Kiro Risk (http://kiro.me)
+ * All Rights Reserved. Apache Software License 2.0
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ */
+var e,t;e=this,t=function(){"use strict";function e(t){return(e="function"==typeof Symbol&&"symbol"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&"function"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?"symbol":typeof e})(t)}function t(e,t){if(!(e instanceof t))throw new TypeError("Cannot call a class as a function")}function n(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,"value"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}function r(e,t,r){return t&&n(e.prototype,t),r&&n(e,r),e}function i(e,t,n){return t in e?Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[t]=n,e}function o(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(e);t&&(r=r.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),n.push.apply(n,r)}return n}function c(e){for(var t=1;t<arguments.length;t++){var 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diff --git a/latest-tag/deps/search-1.0.0/mark.min.js b/latest-tag/deps/search-1.0.0/mark.min.js
new file mode 100644
index 00000000..1eea0533
--- /dev/null
+++ b/latest-tag/deps/search-1.0.0/mark.min.js
@@ -0,0 +1,7 @@
+/*!***************************************************
+* mark.js v8.11.1
+* https://markjs.io/
+* Copyright (c) 2014–2018, Julian Kühnel
+* Released under the MIT license https://git.io/vwTVl
+*****************************************************/
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diff --git a/latest-tag/index.html b/latest-tag/index.html
index d22c7a76..aa5f24a7 100644
--- a/latest-tag/index.html
+++ b/latest-tag/index.html
@@ -5,33 +5,26 @@
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-<meta name="description" content="A set of functions to create random Analysis Data Model (ADaM) datasets and cached dataset.
-    ADaM dataset specifications are described by the Clinical Data Interchange Standards Consortium (CDISC) 
-    Analysis Data Model Team.">
 <title>Create Random ADaM Datasets • random.cdisc.data</title>
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-<!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Create Random ADaM Datasets">
-<meta property="og:description" content="A set of functions to create random Analysis Data Model (ADaM) datasets and cached dataset.
-    ADaM dataset specifications are described by the Clinical Data Interchange Standards Consortium (CDISC) 
-    Analysis Data Model Team.">
-<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="consent.css">
+<script src="deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet">
+<link href="deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet">
+<script src="deps/headroom-0.11.0/headroom.min.js"></script><script src="deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="deps/search-1.0.0/fuse.min.js"></script><script src="deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="pkgdown.js"></script><meta property="og:title" content="Create Random ADaM Datasets">
+<meta name="description" content="A set of functions to create random Analysis Data Model (ADaM) datasets and cached dataset. ADaM dataset specifications are described by the Clinical Data Interchange Standards Consortium (CDISC) Analysis Data Model Team.">
+<meta property="og:description" content="A set of functions to create random Analysis Data Model (ADaM) datasets and cached dataset. ADaM dataset specifications are described by the Clinical Data Interchange Standards Consortium (CDISC) Analysis Data Model Team.">
+<link rel="stylesheet" href="consent.css">
 <script src="consent.js" type="text/javascript" charset="utf-8"></script>
 </head>
 <body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -40,50 +33,42 @@
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
       <ul class="navbar-nav me-auto">
-<li class="nav-item">
-  <a class="nav-link" href="reference/index.html">Reference</a>
-</li>
+<li class="nav-item"><a class="nav-link" href="reference/index.html">Reference</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="news/index.html">Changelog</a>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles">
+<li><a class="dropdown-item" href="articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul>
 </li>
+<li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
+<li class="nav-item dropdown">
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="unit-test-report/">Unit test report</a>
-  </div>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports">
+<li><a class="dropdown-item" href="coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul>
 </li>
       </ul>
-<form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="search.json" id="search-input" placeholder="Search for" autocomplete="off">
-</form>
-
-      <ul class="navbar-nav">
-<li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+<ul class="navbar-nav">
+<li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="search.json">
+</form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul>
 </div>
 
-    
+
   </div>
 </nav><div class="container template-home">
 <div class="row">
@@ -143,12 +128,12 @@
 <div class="section level2">
 <h2 id="installation">Installation<a class="anchor" aria-label="anchor" href="#installation"></a>
 </h2>
-<p>For releases from August 2022 it is recommended that you <a href="https://docs.github.com/en/github/authenticating-to-github/keeping-your-account-and-data-secure/creating-a-personal-access-token" class="external-link">create and use a Github PAT</a> to install the latest version of this package. Once you have the PAT, run the following:</p>
 <div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/Sys.setenv.html" class="external-link">Sys.setenv</a></span><span class="op">(</span>GITHUB_PAT <span class="op">=</span> <span class="st">"your_access_token_here"</span><span class="op">)</span></span>
-<span><span class="kw">if</span> <span class="op">(</span><span class="op">!</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="st"><a href="https://remotes.r-lib.org" class="external-link">"remotes"</a></span><span class="op">)</span><span class="op">)</span> <span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html" class="external-link">install.packages</a></span><span class="op">(</span><span class="st">"remotes"</span><span class="op">)</span></span>
-<span><span class="fu">remotes</span><span class="fu">::</span><span class="fu"><a href="https://remotes.r-lib.org/reference/install_github.html" class="external-link">install_github</a></span><span class="op">(</span><span class="st">"insightsengineering/random.cdisc.data@*release"</span><span class="op">)</span></span></code></pre></div>
-<p>A stable release of all <code>NEST</code> packages from June 2022 is also available <a href="https://github.com/insightsengineering/depository#readme" class="external-link">here</a>.</p>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html" class="external-link">install.packages</a></span><span class="op">(</span><span class="st">"random.cdisc.data"</span><span class="op">)</span></span></code></pre></div>
+<p>Alternatively, you might also use the development version.</p>
+<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="co"># install.packages("pak")</span></span>
+<span><span class="fu">pak</span><span class="fu">::</span><span class="fu"><a href="https://pak.r-lib.org/reference/pak.html" class="external-link">pak</a></span><span class="op">(</span><span class="st">"insightsengineering/random.cdisc.data"</span><span class="op">)</span></span></code></pre></div>
 </div>
 <div class="section level2">
 <h2 id="acknowledgment">Acknowledgment<a class="anchor" aria-label="anchor" href="#acknowledgment"></a>
@@ -179,13 +164,15 @@ <h3 id="forkers">Forkers<a class="anchor" aria-label="anchor" href="#forkers"></
 <h2 data-toc-skip>Links</h2>
 <ul class="list-unstyled">
 <li><a href="https://cloud.r-project.org/package=random.cdisc.data" class="external-link">View on CRAN</a></li>
+<li><a href="https://github.com/insightsengineering/random.cdisc.data/" class="external-link">Browse source code</a></li>
+<li><a href="https://github.com/insightsengineering/random.cdisc.data/issues" class="external-link">Report a bug</a></li>
 </ul>
 </div>
 
 <div class="license">
 <h2 data-toc-skip>License</h2>
 <ul class="list-unstyled">
-<li>Apache License 2.0 </li>
+<li>Apache License 2.0</li>
 </ul>
 </div>
 
@@ -231,9 +218,9 @@ <h2 data-toc-skip>Developers</h2>
 <script type="text/javascript" src="analytics.js"></script></footer>
 </div>
 
-  
 
-  
+
+
 
   </body>
 </html>
diff --git a/latest-tag/katex-auto.js b/latest-tag/katex-auto.js
new file mode 100644
index 00000000..20651d9f
--- /dev/null
+++ b/latest-tag/katex-auto.js
@@ -0,0 +1,14 @@
+// https://github.com/jgm/pandoc/blob/29fa97ab96b8e2d62d48326e1b949a71dc41f47a/src/Text/Pandoc/Writers/HTML.hs#L332-L345
+document.addEventListener("DOMContentLoaded", function () {
+  var mathElements = document.getElementsByClassName("math");
+  var macros = [];
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+    if (mathElements[i].tagName == "SPAN") {
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+    }}});
diff --git a/latest-tag/lightswitch.js b/latest-tag/lightswitch.js
new file mode 100644
index 00000000..9467125a
--- /dev/null
+++ b/latest-tag/lightswitch.js
@@ -0,0 +1,85 @@
+
+/*!
+ * Color mode toggler for Bootstrap's docs (https://getbootstrap.com/)
+ * Copyright 2011-2023 The Bootstrap Authors
+ * Licensed under the Creative Commons Attribution 3.0 Unported License.
+ * Updates for {pkgdown} by the {bslib} authors, also licensed under CC-BY-3.0.
+ */
+
+const getStoredTheme = () => localStorage.getItem('theme')
+const setStoredTheme = theme => localStorage.setItem('theme', theme)
+
+const getPreferredTheme = () => {
+  const storedTheme = getStoredTheme()
+  if (storedTheme) {
+    return storedTheme
+  }
+
+  return window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light'
+}
+
+const setTheme = theme => {
+  if (theme === 'auto') {
+    document.documentElement.setAttribute('data-bs-theme', (window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light'))
+  } else {
+    document.documentElement.setAttribute('data-bs-theme', theme)
+  }
+}
+
+function bsSetupThemeToggle () {
+  'use strict'
+
+  const showActiveTheme = (theme, focus = false) => {
+    var activeLabel, activeIcon;
+
+    document.querySelectorAll('[data-bs-theme-value]').forEach(element => {
+      const buttonTheme = element.getAttribute('data-bs-theme-value')
+      const isActive = buttonTheme == theme
+      
+      element.classList.toggle('active', isActive)
+      element.setAttribute('aria-pressed', isActive)
+
+      if (isActive) {
+        activeLabel = element.textContent;
+        activeIcon = element.querySelector('span').classList.value;
+      }
+    })
+
+    const themeSwitcher = document.querySelector('#dropdown-lightswitch')
+    if (!themeSwitcher) {
+      return
+    }
+
+    themeSwitcher.setAttribute('aria-label', activeLabel)
+    themeSwitcher.querySelector('span').classList.value = activeIcon;
+
+    if (focus) {
+      themeSwitcher.focus()
+    }
+  }
+
+  window.matchMedia('(prefers-color-scheme: dark)').addEventListener('change', () => {
+    const storedTheme = getStoredTheme()
+    if (storedTheme !== 'light' && storedTheme !== 'dark') {
+      setTheme(getPreferredTheme())
+    }
+  })
+
+  window.addEventListener('DOMContentLoaded', () => {
+    showActiveTheme(getPreferredTheme())
+
+    document
+      .querySelectorAll('[data-bs-theme-value]')
+      .forEach(toggle => {
+        toggle.addEventListener('click', () => {
+          const theme = toggle.getAttribute('data-bs-theme-value')
+          setTheme(theme)
+          setStoredTheme(theme)
+          showActiveTheme(theme, true)
+        })
+      })
+  })
+}
+
+setTheme(getPreferredTheme());
+bsSetupThemeToggle();
diff --git a/latest-tag/news/index.html b/latest-tag/news/index.html
index 03d8f053..4515b2ff 100644
--- a/latest-tag/news/index.html
+++ b/latest-tag/news/index.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Changelog • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Changelog"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Changelog • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Changelog"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,54 +15,52 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="active nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="active nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-news">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Changelog</h1>
-      
+
+      <h1>Changelog</h1>
+      <small>Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/NEWS.md" class="external-link"><code>NEWS.md</code></a></small>
     </div>
 
+    <div class="section level2">
+<h2 class="pkg-version" data-toc-text="0.3.16" id="randomcdiscdata-0316">random.cdisc.data 0.3.16<a class="anchor" aria-label="anchor" href="#randomcdiscdata-0316"></a></h2><p class="text-muted">CRAN release: 2024-10-10</p>
+<div class="section level4">
+<h4 id="miscellaneous-0-3-16">Miscellaneous<a class="anchor" aria-label="anchor" href="#miscellaneous-0-3-16"></a></h4>
+<ul><li>Renamed <code>var_relabel</code> into <code>rcd_var_relabel</code> and copied new functionalities to avoid namespace conflict with <code>formatters</code> package.</li>
+<li>Made <code>rcd_var_relabel</code> internal as it was intended for developers use only.</li>
+<li>Updated <code>ARM</code> and <code>ACTARM</code> variables in the <code>ADAB</code> data.</li>
+</ul></div>
+</div>
     <div class="section level2">
 <h2 class="pkg-version" data-toc-text="0.3.15" id="randomcdiscdata-0315">random.cdisc.data 0.3.15<a class="anchor" aria-label="anchor" href="#randomcdiscdata-0315"></a></h2><p class="text-muted">CRAN release: 2024-03-27</p>
 <div class="section level4">
@@ -282,7 +277,7 @@ <h2 class="pkg-version" data-toc-text="0.2.0" id="randomcdiscdata-020">random.cd
 <h2 class="pkg-version" data-toc-text="0.1.0" id="randomcdiscdata-010">random.cdisc.data 0.1.0<a class="anchor" aria-label="anchor" href="#randomcdiscdata-010"></a></h2>
 <ul><li>Initial release.</li>
 </ul></div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -291,9 +286,9 @@ <h2 class="pkg-version" data-toc-text="0.1.0" id="randomcdiscdata-010">random.cd
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/pkgdown.js b/latest-tag/pkgdown.js
index 5fccd9c0..1a99c65f 100644
--- a/latest-tag/pkgdown.js
+++ b/latest-tag/pkgdown.js
@@ -30,10 +30,10 @@
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   function changeTooltipMessage(element, msg) {
-    var tooltipOriginalTitle=element.getAttribute('data-original-title');
-    element.setAttribute('data-original-title', msg);
+    var tooltipOriginalTitle=element.getAttribute('data-bs-original-title');
+    element.setAttribute('data-bs-original-title', msg);
     $(element).tooltip('show');
-    element.setAttribute('data-original-title', tooltipOriginalTitle);
+    element.setAttribute('data-bs-original-title', tooltipOriginalTitle);
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   if(ClipboardJS.isSupported()) {
@@ -60,7 +60,7 @@
         e.clearSelection();
       });
 
-      clipboard.on('error', function() {
+      clipboard.on('error', function(e) {
         changeTooltipMessage(e.trigger,'Press Ctrl+C or Command+C to copy');
       });
 
@@ -153,4 +153,10 @@ async function searchFuse(query, callback) {
   });
 })(window.jQuery || window.$)
 
-
+document.addEventListener('keydown', function(event) {
+  // Check if the pressed key is '/'
+  if (event.key === '/') {
+    event.preventDefault();  // Prevent any default action associated with the '/' key
+    document.getElementById('search-input').focus();  // Set focus to the search input
+  }
+});
diff --git a/latest-tag/pkgdown.yml b/latest-tag/pkgdown.yml
index 7975628c..9da58325 100644
--- a/latest-tag/pkgdown.yml
+++ b/latest-tag/pkgdown.yml
@@ -1,10 +1,9 @@
-pandoc: 3.1.1
-pkgdown: 2.0.7
+pandoc: '3.4'
+pkgdown: 2.1.1
 pkgdown_sha: ~
 articles:
   rebuild_cached_data: rebuild_cached_data.html
-last_built: 2024-03-28T16:02Z
+last_built: 2024-10-10T14:53Z
 urls:
   reference: https://insightsengineering.github.io/random.cdisc.data/reference
   article: https://insightsengineering.github.io/random.cdisc.data/articles
-
diff --git a/latest-tag/pull_request_template.html b/latest-tag/pull_request_template.html
deleted file mode 100644
index 92c445ed..00000000
--- a/latest-tag/pull_request_template.html
+++ /dev/null
@@ -1,88 +0,0 @@
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-    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
-
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
-    <a class="navbar-brand me-2" href="index.html">random.cdisc.data</a>
-
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
-
-    <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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-      <span class="navbar-toggler-icon"></span>
-    </button>
-
-    <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="nav-item">
-  <a class="nav-link" href="reference/index.html">Reference</a>
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-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
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-  <a class="nav-link" href="news/index.html">Changelog</a>
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-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
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-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
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-
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-</nav><div class="container template-title-body">
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-  <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Pull Request</h1>
-      
-    </div>
-
-<div id="pull-request" class="section level1">
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-<p>Fixes #nnn</p>
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-
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-
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diff --git a/latest-tag/reference/apply_metadata.html b/latest-tag/reference/apply_metadata.html
index af38f03c..3340b60a 100644
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+++ b/latest-tag/reference/apply_metadata.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
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     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
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+
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 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Apply Metadata</h1>
-      
+
+      <h1>Apply Metadata</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
       <div class="d-none name"><code>apply_metadata.Rd</code></div>
     </div>
 
@@ -83,27 +69,27 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>df</dt>
+
+
+<dl><dt id="arg-df">df<a class="anchor" aria-label="anchor" href="#arg-df"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Data frame to which metadata is applied.</p></dd>
 
 
-<dt>filename</dt>
+<dt id="arg-filename">filename<a class="anchor" aria-label="anchor" href="#arg-filename"></a></dt>
 <dd><p>(<code>yaml</code>)<br> File containing domain metadata.</p></dd>
 
 
-<dt>add_adsl</dt>
+<dt id="arg-add-adsl">add_adsl<a class="anchor" aria-label="anchor" href="#arg-add-adsl"></a></dt>
 <dd><p>(<code>logical</code>)<br> Should ADSL data be merged to domain.</p></dd>
 
 
-<dt>adsl_filename</dt>
+<dt id="arg-adsl-filename">adsl_filename<a class="anchor" aria-label="anchor" href="#arg-adsl-filename"></a></dt>
 <dd><p>(<code>yaml</code>)<br> File containing ADSL metadata.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>Data frame with metadata applied.</p>
+    <p>Data frame with metadata applied.</p>
     </div>
 
     <div class="section level2">
@@ -119,7 +105,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="op">)</span></span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -128,9 +114,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
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diff --git a/latest-tag/reference/argument_convention.html b/latest-tag/reference/argument_convention.html
index dd738b0d..36a0cc4a 100644
--- a/latest-tag/reference/argument_convention.html
+++ b/latest-tag/reference/argument_convention.html
@@ -1,18 +1,15 @@
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-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="The documentation to this function lists all the arguments in random.cdisc.data
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+that are used repeatedly in dataset creation."><meta property="og:description" content="The documentation to this function lists all the arguments in random.cdisc.data
+that are used repeatedly in dataset creation."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Standard Arguments</h1>
-      
+
+      <h1>Standard Arguments</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/argument_convention.R" class="external-link"><code>R/argument_convention.R</code></a></small>
       <div class="d-none name"><code>argument_convention.Rd</code></div>
     </div>
 
@@ -77,15 +63,17 @@
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>seed</dt>
+
+
+<dl><dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>na_percentage</dt>
+<dt id="arg-na-percentage">na_percentage<a class="anchor" aria-label="anchor" href="#arg-na-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Default percentage of values to be replaced by <code>NA</code>.</p></dd>
 
 
-<dt>na_vars</dt>
+<dt id="arg-na-vars">na_vars<a class="anchor" aria-label="anchor" href="#arg-na-vars"></a></dt>
 <dd><p>(<code>list</code>)<br> A named list where the name of each element is a column name of <code>ds</code>. Each
 element of this list should be a numeric vector with two elements:</p><ul><li><p><code>seed</code> (<code>numeric</code>)<br> The seed to be used for this element - can be <code>NA</code>.</p></li>
 <li><p><code>percentage</code> (<code>proportion</code>)<br> Percentage of elements to be replaced with <code>NA</code>.
@@ -93,43 +81,43 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>adsl</dt>
+<dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>lookup</dt>
+<dt id="arg-lookup">lookup<a class="anchor" aria-label="anchor" href="#arg-lookup"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Additional parameters.</p></dd>
 
 
-<dt>lookup_aag</dt>
+<dt id="arg-lookup-aag">lookup_aag<a class="anchor" aria-label="anchor" href="#arg-lookup-aag"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Additional metadata parameters.</p></dd>
 
 
-<dt>param</dt>
+<dt id="arg-param">param<a class="anchor" aria-label="anchor" href="#arg-param"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter values.</p></dd>
 
 
-<dt>paramcd</dt>
+<dt id="arg-paramcd">paramcd<a class="anchor" aria-label="anchor" href="#arg-paramcd"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter code values.</p></dd>
 
 
-<dt>paramu</dt>
+<dt id="arg-paramu">paramu<a class="anchor" aria-label="anchor" href="#arg-paramu"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter unit values.</p></dd>
 
 
-<dt>visit_format</dt>
+<dt id="arg-visit-format">visit_format<a class="anchor" aria-label="anchor" href="#arg-visit-format"></a></dt>
 <dd><p>(<code>character</code>)<br> Type of visit. Options are "WEEK" and "CYCLE".</p></dd>
 
 
-<dt>n_assessments</dt>
+<dt id="arg-n-assessments">n_assessments<a class="anchor" aria-label="anchor" href="#arg-n-assessments"></a></dt>
 <dd><p>(<code>integer</code>)<br> Number of weeks or cycles.</p></dd>
 
 
-<dt>n_days</dt>
+<dt id="arg-n-days">n_days<a class="anchor" aria-label="anchor" href="#arg-n-days"></a></dt>
 <dd><p>(<code>integer</code>)<br> Number of days in each cycle (only used if <code>visit_format</code> is "CYCLE").</p></dd>
 
 
-<dt>aval_mean</dt>
+<dt id="arg-aval-mean">aval_mean<a class="anchor" aria-label="anchor" href="#arg-aval-mean"></a></dt>
 <dd><p>(<code>numeric vector</code>)<br> Mean values corresponding to each parameter.</p></dd>
 
 </dl></div>
@@ -142,9 +130,9 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/cadab.html b/latest-tag/reference/cadab.html
index f9bcae16..d4e1eae3 100644
--- a/latest-tag/reference/cadab.html
+++ b/latest-tag/reference/cadab.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cached ADAB data generated with seed = 1"><title>Cached ADAB — cadab • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADAB — cadab"><meta property="og:description" content="Cached ADAB data generated with seed = 1"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cached ADAB — cadab • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADAB — cadab"><meta name="description" content="Cached ADAB data generated with seed = 1"><meta property="og:description" content="Cached ADAB data generated with seed = 1"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
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 <!-- start dropdown for versions --> <li class="nav-item dropdown">
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 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
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-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
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-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Cached ADAB</h1>
-      
+
+      <h1>Cached ADAB</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/cached_data.R" class="external-link"><code>R/cached_data.R</code></a></small>
       <div class="d-none name"><code>cadab.Rd</code></div>
     </div>
 
@@ -81,7 +67,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     <p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 6916 rows and 21 columns.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,9 +76,9 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/cadae.html b/latest-tag/reference/cadae.html
index a9614043..24faeae9 100644
--- a/latest-tag/reference/cadae.html
+++ b/latest-tag/reference/cadae.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cached ADAE data generated with seed = 1"><title>Cached ADAE — cadae • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADAE — cadae"><meta property="og:description" content="Cached ADAE data generated with seed = 1"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cached ADAE — cadae • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADAE — cadae"><meta name="description" content="Cached ADAE data generated with seed = 1"><meta property="og:description" content="Cached ADAE data generated with seed = 1"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
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-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Cached ADAE</h1>
-      
+
+      <h1>Cached ADAE</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/cached_data.R" class="external-link"><code>R/cached_data.R</code></a></small>
       <div class="d-none name"><code>cadae.Rd</code></div>
     </div>
 
@@ -81,7 +67,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     <p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 1934 rows and 92 columns.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,9 +76,9 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/cadaette.html b/latest-tag/reference/cadaette.html
index 8e44f6e7..b317c325 100644
--- a/latest-tag/reference/cadaette.html
+++ b/latest-tag/reference/cadaette.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cached ADAETTE data generated with seed = 1"><title>Cached ADAETTE — cadaette • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADAETTE — cadaette"><meta property="og:description" content="Cached ADAETTE data generated with seed = 1"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cached ADAETTE — cadaette • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADAETTE — cadaette"><meta name="description" content="Cached ADAETTE data generated with seed = 1"><meta property="og:description" content="Cached ADAETTE data generated with seed = 1"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
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-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
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-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
-</li>
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-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
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-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
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-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Cached ADAETTE</h1>
-      
+
+      <h1>Cached ADAETTE</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/cached_data.R" class="external-link"><code>R/cached_data.R</code></a></small>
       <div class="d-none name"><code>cadaette.Rd</code></div>
     </div>
 
@@ -81,7 +67,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     <p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 3600 rows and 66 columns.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,9 +76,9 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/cadcm.html b/latest-tag/reference/cadcm.html
index 4ab73853..a8104e1e 100644
--- a/latest-tag/reference/cadcm.html
+++ b/latest-tag/reference/cadcm.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cached ADCM data generated with seed = 1"><title>Cached ADCM — cadcm • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADCM — cadcm"><meta property="og:description" content="Cached ADCM data generated with seed = 1"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cached ADCM — cadcm • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADCM — cadcm"><meta name="description" content="Cached ADCM data generated with seed = 1"><meta property="og:description" content="Cached ADCM data generated with seed = 1"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Cached ADCM</h1>
-      
+
+      <h1>Cached ADCM</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/cached_data.R" class="external-link"><code>R/cached_data.R</code></a></small>
       <div class="d-none name"><code>cadcm.Rd</code></div>
     </div>
 
@@ -81,7 +67,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     <p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 3685 rows and 83 columns.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,9 +76,9 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/caddv.html b/latest-tag/reference/caddv.html
index 8055ccb3..ed423b9a 100644
--- a/latest-tag/reference/caddv.html
+++ b/latest-tag/reference/caddv.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cached ADDV data generated with seed = 1"><title>Cached ADDV — caddv • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADDV — caddv"><meta property="og:description" content="Cached ADDV data generated with seed = 1"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cached ADDV — caddv • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADDV — caddv"><meta name="description" content="Cached ADDV data generated with seed = 1"><meta property="og:description" content="Cached ADDV data generated with seed = 1"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Cached ADDV</h1>
-      
+
+      <h1>Cached ADDV</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/cached_data.R" class="external-link"><code>R/cached_data.R</code></a></small>
       <div class="d-none name"><code>caddv.Rd</code></div>
     </div>
 
@@ -81,7 +67,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     <p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 119 rows and 66 columns.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,9 +76,9 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/cadeg.html b/latest-tag/reference/cadeg.html
index 497a180c..1f619be3 100644
--- a/latest-tag/reference/cadeg.html
+++ b/latest-tag/reference/cadeg.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cached ADEG data generated with seed = 1"><title>Cached ADEG — cadeg • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADEG — cadeg"><meta property="og:description" content="Cached ADEG data generated with seed = 1"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cached ADEG — cadeg • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADEG — cadeg"><meta name="description" content="Cached ADEG data generated with seed = 1"><meta property="og:description" content="Cached ADEG data generated with seed = 1"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
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+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
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 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
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 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
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-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Cached ADEG</h1>
-      
+
+      <h1>Cached ADEG</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/cached_data.R" class="external-link"><code>R/cached_data.R</code></a></small>
       <div class="d-none name"><code>cadeg.Rd</code></div>
     </div>
 
@@ -81,7 +67,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     <p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 13600 rows and 88 columns.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,9 +76,9 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/cadex.html b/latest-tag/reference/cadex.html
index 400b00c4..dd5e6be4 100644
--- a/latest-tag/reference/cadex.html
+++ b/latest-tag/reference/cadex.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cached ADEX data generated with seed = 1"><title>Cached ADEX — cadex • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADEX — cadex"><meta property="og:description" content="Cached ADEX data generated with seed = 1"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cached ADEX — cadex • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADEX — cadex"><meta name="description" content="Cached ADEX data generated with seed = 1"><meta property="og:description" content="Cached ADEX data generated with seed = 1"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
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-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
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     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
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 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
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-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
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-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
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-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Cached ADEX</h1>
-      
+
+      <h1>Cached ADEX</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/cached_data.R" class="external-link"><code>R/cached_data.R</code></a></small>
       <div class="d-none name"><code>cadex.Rd</code></div>
     </div>
 
@@ -81,7 +67,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     <p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 6400 rows and 79 columns.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,9 +76,9 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/cadhy.html b/latest-tag/reference/cadhy.html
index a554210c..7be8934d 100644
--- a/latest-tag/reference/cadhy.html
+++ b/latest-tag/reference/cadhy.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cached ADHY data generated with seed = 1"><title>Cached ADHY — cadhy • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADHY — cadhy"><meta property="og:description" content="Cached ADHY data generated with seed = 1"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cached ADHY — cadhy • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADHY — cadhy"><meta name="description" content="Cached ADHY data generated with seed = 1"><meta property="og:description" content="Cached ADHY data generated with seed = 1"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
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 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
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-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
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-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
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-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Cached ADHY</h1>
-      
+
+      <h1>Cached ADHY</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/cached_data.R" class="external-link"><code>R/cached_data.R</code></a></small>
       <div class="d-none name"><code>cadhy.Rd</code></div>
     </div>
 
@@ -81,7 +67,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     <p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 20000 rows and 71 columns.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,9 +76,9 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/cadlb.html b/latest-tag/reference/cadlb.html
index 554585cf..3982a163 100644
--- a/latest-tag/reference/cadlb.html
+++ b/latest-tag/reference/cadlb.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cached ADLB data generated with seed = 1"><title>Cached ADLB — cadlb • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADLB — cadlb"><meta property="og:description" content="Cached ADLB data generated with seed = 1"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cached ADLB — cadlb • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADLB — cadlb"><meta name="description" content="Cached ADLB data generated with seed = 1"><meta property="og:description" content="Cached ADLB data generated with seed = 1"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
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-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
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           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Cached ADLB</h1>
-      
+
+      <h1>Cached ADLB</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/cached_data.R" class="external-link"><code>R/cached_data.R</code></a></small>
       <div class="d-none name"><code>cadlb.Rd</code></div>
     </div>
 
@@ -81,7 +67,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     <p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 8400 rows and 102 columns.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,9 +76,9 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/cadmh.html b/latest-tag/reference/cadmh.html
index bdbab333..0176c4ab 100644
--- a/latest-tag/reference/cadmh.html
+++ b/latest-tag/reference/cadmh.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cached ADMH data generated with seed = 1"><title>Cached ADMH — cadmh • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADMH — cadmh"><meta property="og:description" content="Cached ADMH data generated with seed = 1"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cached ADMH — cadmh • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADMH — cadmh"><meta name="description" content="Cached ADMH data generated with seed = 1"><meta property="og:description" content="Cached ADMH data generated with seed = 1"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
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-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Cached ADMH</h1>
-      
+
+      <h1>Cached ADMH</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/cached_data.R" class="external-link"><code>R/cached_data.R</code></a></small>
       <div class="d-none name"><code>cadmh.Rd</code></div>
     </div>
 
@@ -81,7 +67,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     <p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 1934 rows and 67 columns.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,9 +76,9 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/cadpc.html b/latest-tag/reference/cadpc.html
index fa28fdae..b6b6ec28 100644
--- a/latest-tag/reference/cadpc.html
+++ b/latest-tag/reference/cadpc.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cached ADPC data generated with seed = 1"><title>Cached ADPC — cadpc • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADPC — cadpc"><meta property="og:description" content="Cached ADPC data generated with seed = 1"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cached ADPC — cadpc • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADPC — cadpc"><meta name="description" content="Cached ADPC data generated with seed = 1"><meta property="og:description" content="Cached ADPC data generated with seed = 1"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Cached ADPC</h1>
-      
+
+      <h1>Cached ADPC</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/cached_data.R" class="external-link"><code>R/cached_data.R</code></a></small>
       <div class="d-none name"><code>cadpc.Rd</code></div>
     </div>
 
@@ -81,7 +67,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     <p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 6640 rows and 72 columns.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,9 +76,9 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/cadpp.html b/latest-tag/reference/cadpp.html
index 75f2f0dc..38940802 100644
--- a/latest-tag/reference/cadpp.html
+++ b/latest-tag/reference/cadpp.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cached ADPP data generated with seed = 1"><title>Cached ADPP — cadpp • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADPP — cadpp"><meta property="og:description" content="Cached ADPP data generated with seed = 1"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cached ADPP — cadpp • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADPP — cadpp"><meta name="description" content="Cached ADPP data generated with seed = 1"><meta property="og:description" content="Cached ADPP data generated with seed = 1"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Cached ADPP</h1>
-      
+
+      <h1>Cached ADPP</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/cached_data.R" class="external-link"><code>R/cached_data.R</code></a></small>
       <div class="d-none name"><code>cadpp.Rd</code></div>
     </div>
 
@@ -81,7 +67,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     <p>An object of class <code>data.frame</code> with 26268 rows and 68 columns.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,9 +76,9 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/cadqlqc.html b/latest-tag/reference/cadqlqc.html
index ec38ff6e..3b614e34 100644
--- a/latest-tag/reference/cadqlqc.html
+++ b/latest-tag/reference/cadqlqc.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cached ADQLQC data generated with seed = 1"><title>Cached ADQLQC — cadqlqc • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADQLQC — cadqlqc"><meta property="og:description" content="Cached ADQLQC data generated with seed = 1"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cached ADQLQC — cadqlqc • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADQLQC — cadqlqc"><meta name="description" content="Cached ADQLQC data generated with seed = 1"><meta property="og:description" content="Cached ADQLQC data generated with seed = 1"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Cached ADQLQC</h1>
-      
+
+      <h1>Cached ADQLQC</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/cached_data.R" class="external-link"><code>R/cached_data.R</code></a></small>
       <div class="d-none name"><code>cadqlqc.Rd</code></div>
     </div>
 
@@ -81,7 +67,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     <p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 116803 rows and 50 columns.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,9 +76,9 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/cadqs.html b/latest-tag/reference/cadqs.html
index 27d7353a..8ac40aef 100644
--- a/latest-tag/reference/cadqs.html
+++ b/latest-tag/reference/cadqs.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cached ADQS data generated with seed = 1"><title>Cached ADQS — cadqs • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADQS — cadqs"><meta property="og:description" content="Cached ADQS data generated with seed = 1"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cached ADQS — cadqs • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADQS — cadqs"><meta name="description" content="Cached ADQS data generated with seed = 1"><meta property="og:description" content="Cached ADQS data generated with seed = 1"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
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+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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@@ -18,52 +15,41 @@
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+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
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+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
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+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Cached ADQS</h1>
-      
+
+      <h1>Cached ADQS</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/cached_data.R" class="external-link"><code>R/cached_data.R</code></a></small>
       <div class="d-none name"><code>cadqs.Rd</code></div>
     </div>
 
@@ -81,7 +67,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     <p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 14000 rows and 73 columns.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,9 +76,9 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/cadrs.html b/latest-tag/reference/cadrs.html
index 413ccaf4..480922dc 100644
--- a/latest-tag/reference/cadrs.html
+++ b/latest-tag/reference/cadrs.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cached ADRS data generated with seed = 1"><title>Cached ADRS — cadrs • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADRS — cadrs"><meta property="og:description" content="Cached ADRS data generated with seed = 1"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cached ADRS — cadrs • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADRS — cadrs"><meta name="description" content="Cached ADRS data generated with seed = 1"><meta property="og:description" content="Cached ADRS data generated with seed = 1"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
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     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
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+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
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-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
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+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
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+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Cached ADRS</h1>
-      
+
+      <h1>Cached ADRS</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/cached_data.R" class="external-link"><code>R/cached_data.R</code></a></small>
       <div class="d-none name"><code>cadrs.Rd</code></div>
     </div>
 
@@ -81,7 +67,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     <p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 3200 rows and 65 columns.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,9 +76,9 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
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+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/cadsl.html b/latest-tag/reference/cadsl.html
index a5e0fccd..416e84d6 100644
--- a/latest-tag/reference/cadsl.html
+++ b/latest-tag/reference/cadsl.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cached ADSL data generated with seed = 1"><title>Cached ADSL — cadsl • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADSL — cadsl"><meta property="og:description" content="Cached ADSL data generated with seed = 1"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cached ADSL — cadsl • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADSL — cadsl"><meta name="description" content="Cached ADSL data generated with seed = 1"><meta property="og:description" content="Cached ADSL data generated with seed = 1"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
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+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Cached ADSL</h1>
-      
+
+      <h1>Cached ADSL</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/cached_data.R" class="external-link"><code>R/cached_data.R</code></a></small>
       <div class="d-none name"><code>cadsl.Rd</code></div>
     </div>
 
@@ -81,7 +67,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     <p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 400 rows and 55 columns.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,9 +76,9 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/cadsub.html b/latest-tag/reference/cadsub.html
index 37713021..cb664350 100644
--- a/latest-tag/reference/cadsub.html
+++ b/latest-tag/reference/cadsub.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cached ADSUB data generated with seed = 1"><title>Cached ADSUB — cadsub • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADSUB — cadsub"><meta property="og:description" content="Cached ADSUB data generated with seed = 1"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cached ADSUB — cadsub • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADSUB — cadsub"><meta name="description" content="Cached ADSUB data generated with seed = 1"><meta property="og:description" content="Cached ADSUB data generated with seed = 1"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
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-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
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+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
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-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
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-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Cached ADSUB</h1>
-      
+
+      <h1>Cached ADSUB</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/cached_data.R" class="external-link"><code>R/cached_data.R</code></a></small>
       <div class="d-none name"><code>cadsub.Rd</code></div>
     </div>
 
@@ -81,7 +67,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     <p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 2000 rows and 65 columns.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,9 +76,9 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/cadtr.html b/latest-tag/reference/cadtr.html
index 516ad2a3..bc84b564 100644
--- a/latest-tag/reference/cadtr.html
+++ b/latest-tag/reference/cadtr.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cached ADTR data generated with seed = 1"><title>Cached ADTR — cadtr • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADTR — cadtr"><meta property="og:description" content="Cached ADTR data generated with seed = 1"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cached ADTR — cadtr • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADTR — cadtr"><meta name="description" content="Cached ADTR data generated with seed = 1"><meta property="og:description" content="Cached ADTR data generated with seed = 1"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Cached ADTR</h1>
-      
+
+      <h1>Cached ADTR</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/cached_data.R" class="external-link"><code>R/cached_data.R</code></a></small>
       <div class="d-none name"><code>cadtr.Rd</code></div>
     </div>
 
@@ -81,7 +67,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     <p>An object of class <code>data.frame</code> with 2800 rows and 76 columns.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,9 +76,9 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/cadtte.html b/latest-tag/reference/cadtte.html
index 56f08532..17383e73 100644
--- a/latest-tag/reference/cadtte.html
+++ b/latest-tag/reference/cadtte.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cached ADTTE data generated with seed = 1"><title>Cached ADTTE — cadtte • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADTTE — cadtte"><meta property="og:description" content="Cached ADTTE data generated with seed = 1"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Cached ADTTE — cadtte • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADTTE — cadtte"><meta name="description" content="Cached ADTTE data generated with seed = 1"><meta property="og:description" content="Cached ADTTE data generated with seed = 1"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
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-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
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         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
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-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
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-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Cached ADTTE</h1>
-      
+
+      <h1>Cached ADTTE</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/cached_data.R" class="external-link"><code>R/cached_data.R</code></a></small>
       <div class="d-none name"><code>cadtte.Rd</code></div>
     </div>
 
@@ -81,7 +67,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     <p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 2000 rows and 67 columns.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,9 +76,9 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/cadvs.html b/latest-tag/reference/cadvs.html
index 47f4408f..21feb1a6 100644
--- a/latest-tag/reference/cadvs.html
+++ b/latest-tag/reference/cadvs.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Cached ADVS data generated with seed = 1"><title>Cached ADVS — cadvs • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Cached ADVS — cadvs"><meta property="og:description" content="Cached ADVS data generated with seed = 1"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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@@ -18,52 +15,41 @@
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+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
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+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Cached ADVS</h1>
-      
+
+      <h1>Cached ADVS</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/cached_data.R" class="external-link"><code>R/cached_data.R</code></a></small>
       <div class="d-none name"><code>cadvs.Rd</code></div>
     </div>
 
@@ -81,7 +67,7 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
     <p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 16800 rows and 87 columns.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -90,9 +76,9 @@ <h2 id="format">Format<a class="anchor" aria-label="anchor" href="#format"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
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diff --git a/latest-tag/reference/calc_scales.html b/latest-tag/reference/calc_scales.html
new file mode 100644
index 00000000..ab407776
--- /dev/null
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@@ -0,0 +1,8 @@
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+  <head>
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diff --git a/latest-tag/reference/comp_derv.html b/latest-tag/reference/comp_derv.html
new file mode 100644
index 00000000..ab407776
--- /dev/null
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@@ -0,0 +1,8 @@
+<html>
+  <head>
+    <meta http-equiv="refresh" content="0;URL=https://insightsengineering.github.io/random.cdisc.data/reference/h_adqlqc.html" />
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+
diff --git a/latest-tag/reference/derv_chgcat1.html b/latest-tag/reference/derv_chgcat1.html
new file mode 100644
index 00000000..ab407776
--- /dev/null
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@@ -0,0 +1,8 @@
+<html>
+  <head>
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new file mode 100644
index 00000000..ab407776
--- /dev/null
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@@ -0,0 +1,8 @@
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diff --git a/latest-tag/reference/get_random_dates_between.html b/latest-tag/reference/get_random_dates_between.html
new file mode 100644
index 00000000..ab407776
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@@ -0,0 +1,8 @@
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diff --git a/latest-tag/reference/h_adqlqc.html b/latest-tag/reference/h_adqlqc.html
index 5713fe29..a82f736a 100644
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+++ b/latest-tag/reference/h_adqlqc.html
@@ -1,16 +1,13 @@
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
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-      <img src="" class="logo" alt=""><h1>Helper Functions for Constructing ADQLQC</h1>
-      
+
+      <h1>Helper Functions for Constructing ADQLQC</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radqlqc.R" class="external-link"><code>R/radqlqc.R</code></a></small>
       <div class="d-none name"><code>h_adqlqc.Rd</code></div>
     </div>
 
@@ -97,35 +83,37 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>visit_format</dt>
+<dt id="arg-visit-format">visit_format<a class="anchor" aria-label="anchor" href="#arg-visit-format"></a></dt>
 <dd><p>(<code>character</code>)<br> Type of visit. Options are "WEEK" and "CYCLE".</p></dd>
 
 
-<dt>n_assessments</dt>
+<dt id="arg-n-assessments">n_assessments<a class="anchor" aria-label="anchor" href="#arg-n-assessments"></a></dt>
 <dd><p>(<code>integer</code>)<br> Number of weeks or cycles.</p></dd>
 
 
-<dt>n_days</dt>
+<dt id="arg-n-days">n_days<a class="anchor" aria-label="anchor" href="#arg-n-days"></a></dt>
 <dd><p>(<code>integer</code>)<br> Number of days in each cycle (only used if <code>visit_format</code> is "CYCLE").</p></dd>
 
 
-<dt>lookup</dt>
+<dt id="arg-lookup">lookup<a class="anchor" aria-label="anchor" href="#arg-lookup"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Additional parameters.</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>na_percentage</dt>
+<dt id="arg-na-percentage">na_percentage<a class="anchor" aria-label="anchor" href="#arg-na-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Default percentage of values to be replaced by <code>NA</code>.</p></dd>
 
 
-<dt>na_vars</dt>
+<dt id="arg-na-vars">na_vars<a class="anchor" aria-label="anchor" href="#arg-na-vars"></a></dt>
 <dd><p>(<code>list</code>)<br> A named list where the name of each element is a column name of <code>ds</code>. Each
 element of this list should be a numeric vector with two elements:</p><ul><li><p><code>seed</code> (<code>numeric</code>)<br> The seed to be used for this element - can be <code>NA</code>.</p></li>
 <li><p><code>percentage</code> (<code>proportion</code>)<br> Percentage of elements to be replaced with <code>NA</code>.
@@ -133,67 +121,50 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>from</dt>
+<dt id="arg-from">from<a class="anchor" aria-label="anchor" href="#arg-from"></a></dt>
 <dd><p>(<code>datetime vector</code>)<br> Start date/times.</p></dd>
 
 
-<dt>to</dt>
+<dt id="arg-to">to<a class="anchor" aria-label="anchor" href="#arg-to"></a></dt>
 <dd><p>(<code>datetime vector</code>)<br> End date/times.</p></dd>
 
 
-<dt>visit_id</dt>
+<dt id="arg-visit-id">visit_id<a class="anchor" aria-label="anchor" href="#arg-visit-id"></a></dt>
 <dd><p>(<code>vector</code>)<br> Visit identifiers.</p></dd>
 
 
-<dt>df</dt>
+<dt id="arg-df">df<a class="anchor" aria-label="anchor" href="#arg-df"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> SDTM QS dataset.</p></dd>
 
 
-<dt>adqlqc1</dt>
+<dt id="arg-adqlqc-">adqlqc1<a class="anchor" aria-label="anchor" href="#arg-adqlqc-"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Prepared data generated from the <code>prep_adqlqc()</code> function.</p></dd>
 
 
-<dt>dataset</dt>
+<dt id="arg-dataset">dataset<a class="anchor" aria-label="anchor" href="#arg-dataset"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Dataset.</p></dd>
 
 
-<dt>percent</dt>
+<dt id="arg-percent">percent<a class="anchor" aria-label="anchor" href="#arg-percent"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Completion - Completed at least y percent of questions, 1 record per visit</p></dd>
 
 
-<dt>number</dt>
+<dt id="arg-number">number<a class="anchor" aria-label="anchor" href="#arg-number"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Completion - Completed at least x question(s), 1 record per visit</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>a dataframe with SDTM questionnaire data</p>
-
-
+    <p>a dataframe with SDTM questionnaire data</p>
 <p>Data frame with new randomly generated dates variable.</p>
-
-
 <p><code>data.frame</code></p>
-
-
-
 <p><code>data.frame</code></p>
-
-
-
 <p><code>data.frame</code></p>
-
-
-
 <p><code>data.frame</code></p>
-
-
     </div>
     <div class="section level2">
     <h2 id="functions">Functions<a class="anchor" aria-label="anchor" href="#functions"></a></h2>
-    
+
 <ul><li><p><code>get_qs_data()</code>: Questionnaires EORTC QLQ-C30 V3.0 SDTM (QS)</p>
 <p>Function for generating random Questionnaires SDTM domain</p></li>
 <li><p><code>get_random_dates_between()</code>: Function for generating random dates between 2 dates</p></li>
@@ -210,7 +181,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span></span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -219,9 +190,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/h_anthropometrics_by_sex.html b/latest-tag/reference/h_anthropometrics_by_sex.html
index 31385b5a..20dd67be 100644
--- a/latest-tag/reference/h_anthropometrics_by_sex.html
+++ b/latest-tag/reference/h_anthropometrics_by_sex.html
@@ -1,22 +1,19 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Anthropometric measurements are randomly generated using normal approximation.
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex"><meta name="description" content="Anthropometric measurements are randomly generated using normal approximation.
 The default mean and standard deviation values used are based on US National Health
 Statistics for adults aged 20 years or over. The measurements are generated in same units
-as provided to the function."><title>Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex"><meta property="og:description" content="Anthropometric measurements are randomly generated using normal approximation.
+as provided to the function."><meta property="og:description" content="Anthropometric measurements are randomly generated using normal approximation.
 The default mean and standard deviation values used are based on US National Health
 Statistics for adults aged 20 years or over. The measurements are generated in same units
-as provided to the function."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+as provided to the function."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
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+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -24,52 +21,41 @@
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+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
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-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Generate Anthropometric Measurements for Males and Females.</h1>
-      
+
+      <h1>Generate Anthropometric Measurements for Males and Females.</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radsub.R" class="external-link"><code>R/radsub.R</code></a></small>
       <div class="d-none name"><code>h_anthropometrics_by_sex.Rd</code></div>
     </div>
 
@@ -97,54 +83,54 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>df</dt>
+
+
+<dl><dt id="arg-df">df<a class="anchor" aria-label="anchor" href="#arg-df"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Analysis dataset.</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>id_var</dt>
+<dt id="arg-id-var">id_var<a class="anchor" aria-label="anchor" href="#arg-id-var"></a></dt>
 <dd><p>(<code>character</code>)<br> Patient identifier variable name.</p></dd>
 
 
-<dt>sex_var</dt>
+<dt id="arg-sex-var">sex_var<a class="anchor" aria-label="anchor" href="#arg-sex-var"></a></dt>
 <dd><p>(<code>character</code>)<br> Name of variable representing sex of patient.</p></dd>
 
 
-<dt>sex_var_level_male</dt>
+<dt id="arg-sex-var-level-male">sex_var_level_male<a class="anchor" aria-label="anchor" href="#arg-sex-var-level-male"></a></dt>
 <dd><p>(<code>character</code>)<br> Level of <code>sex_var</code> representing males.</p></dd>
 
 
-<dt>male_weight_in_kg</dt>
+<dt id="arg-male-weight-in-kg">male_weight_in_kg<a class="anchor" aria-label="anchor" href="#arg-male-weight-in-kg"></a></dt>
 <dd><p>(named <code>list</code>)<br> List of means and SDs of male weights in kilograms.</p></dd>
 
 
-<dt>female_weight_in_kg</dt>
+<dt id="arg-female-weight-in-kg">female_weight_in_kg<a class="anchor" aria-label="anchor" href="#arg-female-weight-in-kg"></a></dt>
 <dd><p>(named <code>list</code>)<br> List of means and SDs of female weights in kilograms.</p></dd>
 
 
-<dt>male_height_in_m</dt>
+<dt id="arg-male-height-in-m">male_height_in_m<a class="anchor" aria-label="anchor" href="#arg-male-height-in-m"></a></dt>
 <dd><p>(named <code>list</code>)<br> List of means and SDs of male heights in metres.</p></dd>
 
 
-<dt>female_height_in_m</dt>
+<dt id="arg-female-height-in-m">female_height_in_m<a class="anchor" aria-label="anchor" href="#arg-female-height-in-m"></a></dt>
 <dd><p>(named <code>list</code>)<br> list of means and SDs of female heights in metres.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>a dataframe with anthropometric measurements for each subject in analysis dataset.</p>
+    <p>a dataframe with anthropometric measurements for each subject in analysis dataset.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>One record per subject.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -153,9 +139,9 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/index.html b/latest-tag/reference/index.html
index edf6e268..ff6705cb 100644
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@@ -1,16 +1,13 @@
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Package index • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Package index"><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
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-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-index">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Function reference</h1>
+
+      <h1>Package index</h1>
     </div>
 
     <div class="section level2">
       <h2 id="overview-page">Overview Page<a class="anchor" aria-label="anchor" href="#overview-page"></a></h2>
-      
-      
 
-      
-    </div><div id="" class="section level2">
-      
-      
-      
+
+
+
+    </div><div class="section level2">
+
+
+
 
       <dl><dt>
-          
-          <code><a href="random.cdisc.data-package.html">random.cdisc.data</a></code> <code><a href="random.cdisc.data-package.html">random.cdisc.data-package</a></code> 
+
+          <code><a href="random.cdisc.data-package.html">random.cdisc.data</a></code> <code><a href="random.cdisc.data-package.html">random.cdisc.data-package</a></code>
+
         </dt>
         <dd><code>random.cdisc.data</code> Package</dd>
       </dl></div><div class="section level2">
       <h2 id="cdisc-domain-functions">CDISC Domain Functions<a class="anchor" aria-label="anchor" href="#cdisc-domain-functions"></a></h2>
-      
-      <p class="section-desc"></p><p>These functions generate CDISC domains containing randomly assigned data.</p>
 
-      
-    </div><div id="" class="section level2">
-      
-      
-      
+      <div class="section-desc"><p>These functions generate CDISC domains containing randomly assigned data.</p></div>
+
+
+    </div><div class="section level2">
+
+
+
 
       <dl><dt>
-          
-          <code><a href="radae.html">radae()</a></code> 
+
+          <code><a href="radae.html">radae()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Adverse Event Analysis Dataset (ADAE)</dd>
       </dl><dl><dt>
-          
-          <code><a href="radab.html">radab()</a></code> 
+
+          <code><a href="radab.html">radab()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Anti-Drug Antibody Analysis Dataset (ADAB)</dd>
       </dl><dl><dt>
-          
-          <code><a href="radaette.html">radaette()</a></code> 
+
+          <code><a href="radaette.html">radaette()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Time to Adverse Event Analysis Dataset (ADAETTE)</dd>
       </dl><dl><dt>
-          
-          <code><a href="radcm.html">radcm()</a></code> 
+
+          <code><a href="radcm.html">radcm()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Previous and Concomitant Medications Analysis Dataset (ADCM)</dd>
       </dl><dl><dt>
-          
-          <code><a href="raddv.html">raddv()</a></code> 
+
+          <code><a href="raddv.html">raddv()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Protocol Deviations Analysis Dataset (ADDV)</dd>
       </dl><dl><dt>
-          
-          <code><a href="radeg.html">radeg()</a></code> 
+
+          <code><a href="radeg.html">radeg()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>ECG Analysis Dataset (ADEG)</dd>
       </dl><dl><dt>
-          
-          <code><a href="radex.html">radex()</a></code> 
+
+          <code><a href="radex.html">radex()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Exposure Analysis Dataset (ADEX)</dd>
       </dl><dl><dt>
-          
-          <code><a href="radhy.html">radhy()</a></code> 
+
+          <code><a href="radhy.html">radhy()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Hy's Law Analysis Dataset (ADHY)</dd>
       </dl><dl><dt>
-          
-          <code><a href="radlb.html">radlb()</a></code> 
+
+          <code><a href="radlb.html">radlb()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Laboratory Data Analysis Dataset (ADLB)</dd>
       </dl><dl><dt>
-          
-          <code><a href="radmh.html">radmh()</a></code> 
+
+          <code><a href="radmh.html">radmh()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Medical History Analysis Dataset (ADMH)</dd>
       </dl><dl><dt>
-          
-          <code><a href="radpc.html">radpc()</a></code> 
+
+          <code><a href="radpc.html">radpc()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Pharmacokinetics Analysis Dataset (ADPC)</dd>
       </dl><dl><dt>
-          
-          <code><a href="radpp.html">radpp()</a></code> 
+
+          <code><a href="radpp.html">radpp()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Pharmacokinetics Parameters Dataset (ADPP)</dd>
       </dl><dl><dt>
-          
-          <code><a href="radqlqc.html">radqlqc()</a></code> 
+
+          <code><a href="radqlqc.html">radqlqc()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC)</dd>
       </dl><dl><dt>
-          
-          <code><a href="radqs.html">radqs()</a></code> 
+
+          <code><a href="radqs.html">radqs()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Questionnaires Analysis Dataset (ADQS)</dd>
       </dl><dl><dt>
-          
-          <code><a href="radrs.html">radrs()</a></code> 
+
+          <code><a href="radrs.html">radrs()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Tumor Response Analysis Dataset (ADRS)</dd>
       </dl><dl><dt>
-          
-          <code><a href="radsaftte.html">radsaftte()</a></code> 
+
+          <code><a href="radsaftte.html">radsaftte()</a></code>
+
         </dt>
         <dd>Time to Safety Event Analysis Dataset (ADSAFTTE)</dd>
       </dl><dl><dt>
-          
-          <code><a href="radsl.html">radsl()</a></code> 
+
+          <code><a href="radsl.html">radsl()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Subject-Level Analysis Dataset (ADSL)</dd>
       </dl><dl><dt>
-          
-          <code><a href="radsub.html">radsub()</a></code> 
+
+          <code><a href="radsub.html">radsub()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Subcategory Analysis Dataset (ADSUB)</dd>
       </dl><dl><dt>
-          
-          <code><a href="radtr.html">radtr()</a></code> 
+
+          <code><a href="radtr.html">radtr()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Tumor Response Analysis Dataset (ADTR)</dd>
       </dl><dl><dt>
-          
-          <code><a href="radtte.html">radtte()</a></code> 
+
+          <code><a href="radtte.html">radtte()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Time-to-Event Analysis Dataset (ADTTE)</dd>
       </dl><dl><dt>
-          
-          <code><a href="radvs.html">radvs()</a></code> 
+
+          <code><a href="radvs.html">radvs()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Vital Signs Analysis Dataset (ADVS)</dd>
       </dl></div><div class="section level2">
       <h2 id="cached-datasets">Cached Datasets<a class="anchor" aria-label="anchor" href="#cached-datasets"></a></h2>
-      
-      <p class="section-desc"></p><p>These datasets are attached in order speed up the example sections of the dependent packages. Note you can also use the <code>cached</code> option in the corresponding <code>r*</code> functions to retrieve these cached datasets.</p>
 
-      
-    </div><div id="" class="section level2">
-      
-      
-      
+      <div class="section-desc"><p>These datasets are attached in order speed up the example sections of the dependent packages. Note you can also use the <code>cached</code> option in the corresponding <code>r*</code> functions to retrieve these cached datasets.</p></div>
+
+
+    </div><div class="section level2">
+
+
+
 
       <dl><dt>
-          
-          <code><a href="cadae.html">cadae</a></code> 
+
+          <code><a href="cadae.html">cadae</a></code>
+
         </dt>
         <dd>Cached ADAE</dd>
       </dl><dl><dt>
-          
-          <code><a href="cadab.html">cadab</a></code> 
+
+          <code><a href="cadab.html">cadab</a></code>
+
         </dt>
         <dd>Cached ADAB</dd>
       </dl><dl><dt>
-          
-          <code><a href="cadaette.html">cadaette</a></code> 
+
+          <code><a href="cadaette.html">cadaette</a></code>
+
         </dt>
         <dd>Cached ADAETTE</dd>
       </dl><dl><dt>
-          
-          <code><a href="cadcm.html">cadcm</a></code> 
+
+          <code><a href="cadcm.html">cadcm</a></code>
+
         </dt>
         <dd>Cached ADCM</dd>
       </dl><dl><dt>
-          
-          <code><a href="caddv.html">caddv</a></code> 
+
+          <code><a href="caddv.html">caddv</a></code>
+
         </dt>
         <dd>Cached ADDV</dd>
       </dl><dl><dt>
-          
-          <code><a href="cadeg.html">cadeg</a></code> 
+
+          <code><a href="cadeg.html">cadeg</a></code>
+
         </dt>
         <dd>Cached ADEG</dd>
       </dl><dl><dt>
-          
-          <code><a href="cadex.html">cadex</a></code> 
+
+          <code><a href="cadex.html">cadex</a></code>
+
         </dt>
         <dd>Cached ADEX</dd>
       </dl><dl><dt>
-          
-          <code><a href="cadhy.html">cadhy</a></code> 
+
+          <code><a href="cadhy.html">cadhy</a></code>
+
         </dt>
         <dd>Cached ADHY</dd>
       </dl><dl><dt>
-          
-          <code><a href="cadlb.html">cadlb</a></code> 
+
+          <code><a href="cadlb.html">cadlb</a></code>
+
         </dt>
         <dd>Cached ADLB</dd>
       </dl><dl><dt>
-          
-          <code><a href="cadmh.html">cadmh</a></code> 
+
+          <code><a href="cadmh.html">cadmh</a></code>
+
         </dt>
         <dd>Cached ADMH</dd>
       </dl><dl><dt>
-          
-          <code><a href="cadpc.html">cadpc</a></code> 
+
+          <code><a href="cadpc.html">cadpc</a></code>
+
         </dt>
         <dd>Cached ADPC</dd>
       </dl><dl><dt>
-          
-          <code><a href="cadpp.html">cadpp</a></code> 
+
+          <code><a href="cadpp.html">cadpp</a></code>
+
         </dt>
         <dd>Cached ADPP</dd>
       </dl><dl><dt>
-          
-          <code><a href="cadqlqc.html">cadqlqc</a></code> 
+
+          <code><a href="cadqlqc.html">cadqlqc</a></code>
+
         </dt>
         <dd>Cached ADQLQC</dd>
       </dl><dl><dt>
-          
-          <code><a href="cadqs.html">cadqs</a></code> 
+
+          <code><a href="cadqs.html">cadqs</a></code>
+
         </dt>
         <dd>Cached ADQS</dd>
       </dl><dl><dt>
-          
-          <code><a href="cadrs.html">cadrs</a></code> 
+
+          <code><a href="cadrs.html">cadrs</a></code>
+
         </dt>
         <dd>Cached ADRS</dd>
       </dl><dl><dt>
-          
-          <code><a href="cadsl.html">cadsl</a></code> 
+
+          <code><a href="cadsl.html">cadsl</a></code>
+
         </dt>
         <dd>Cached ADSL</dd>
       </dl><dl><dt>
-          
-          <code><a href="cadsub.html">cadsub</a></code> 
+
+          <code><a href="cadsub.html">cadsub</a></code>
+
         </dt>
         <dd>Cached ADSUB</dd>
       </dl><dl><dt>
-          
-          <code><a href="cadtr.html">cadtr</a></code> 
+
+          <code><a href="cadtr.html">cadtr</a></code>
+
         </dt>
         <dd>Cached ADTR</dd>
       </dl><dl><dt>
-          
-          <code><a href="cadtte.html">cadtte</a></code> 
+
+          <code><a href="cadtte.html">cadtte</a></code>
+
         </dt>
         <dd>Cached ADTTE</dd>
       </dl><dl><dt>
-          
-          <code><a href="cadvs.html">cadvs</a></code> 
+
+          <code><a href="cadvs.html">cadvs</a></code>
+
         </dt>
         <dd>Cached ADVS</dd>
       </dl></div><div class="section level2">
       <h2 id="utility-functions">Utility Functions<a class="anchor" aria-label="anchor" href="#utility-functions"></a></h2>
-      
-      <p class="section-desc"></p><p>These functions are not exported but are documented for developers.</p>
 
-      
-    </div><div id="" class="section level2">
-      
-      
-      
+      <div class="section-desc"><p>These functions are not exported but are documented for developers.</p></div>
+
+
+    </div><div class="section level2">
+
+
+
 
       <dl><dt>
-          
-          <code><a href="apply_metadata.html">apply_metadata()</a></code> 
+
+          <code><a href="apply_metadata.html">apply_metadata()</a></code>
+
         </dt>
         <dd>Apply Metadata</dd>
       </dl><dl><dt>
-          
-          <code><a href="h_adqlqc.html">get_qs_data()</a></code> <code><a href="h_adqlqc.html">get_random_dates_between()</a></code> <code><a href="h_adqlqc.html">prep_adqlqc()</a></code> <code><a href="h_adqlqc.html">calc_scales()</a></code> <code><a href="h_adqlqc.html">derv_chgcat1()</a></code> <code><a href="h_adqlqc.html">comp_derv()</a></code> 
+
+          <code><a href="h_adqlqc.html">get_qs_data()</a></code> <code><a href="h_adqlqc.html">get_random_dates_between()</a></code> <code><a href="h_adqlqc.html">prep_adqlqc()</a></code> <code><a href="h_adqlqc.html">calc_scales()</a></code> <code><a href="h_adqlqc.html">derv_chgcat1()</a></code> <code><a href="h_adqlqc.html">comp_derv()</a></code>
+
         </dt>
         <dd>Helper Functions for Constructing ADQLQC</dd>
       </dl><dl><dt>
-          
-          <code><a href="h_anthropometrics_by_sex.html">h_anthropometrics_by_sex()</a></code> 
+
+          <code><a href="h_anthropometrics_by_sex.html">h_anthropometrics_by_sex()</a></code>
+
         </dt>
         <dd>Generate Anthropometric Measurements for Males and Females.</dd>
       </dl><dl><dt>
-          
-          <code><a href="mutate_na.html">mutate_na()</a></code> 
+
+          <code><a href="mutate_na.html">mutate_na()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Replace Values with NA</dd>
       </dl><dl><dt>
-          
-          <code><a href="rel_var.html">rel_var()</a></code> 
+
+          <code><a href="rel_var.html">rel_var()</a></code>
+
         </dt>
         <dd>Related Variables: Assign</dd>
       </dl><dl><dt>
-          
-          <code><a href="relvar_init.html">relvar_init()</a></code> 
+
+          <code><a href="relvar_init.html">relvar_init()</a></code>
+
         </dt>
         <dd>Related Variables: Initialize</dd>
       </dl><dl><dt>
-          
-          <code><a href="replace_na.html">replace_na()</a></code> 
+
+          <code><a href="replace_na.html">replace_na()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Replace Values in a Vector by NA</dd>
       </dl><dl><dt>
-          
-          <code><a href="retain.html">retain()</a></code> 
+
+          <code><a href="retain.html">retain()</a></code>
+
         </dt>
         <dd>Primary Keys: Retain Values</dd>
       </dl><dl><dt>
-          
-          <code><a href="rtexp.html">rtexp()</a></code> 
+
+          <code><a href="rtexp.html">rtexp()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Truncated Exponential Distribution</dd>
       </dl><dl><dt>
-          
-          <code><a href="rtpois.html">rtpois()</a></code> 
+
+          <code><a href="rtpois.html">rtpois()</a></code>
+          <span class="badge lifecycle lifecycle-stable">stable</span>
         </dt>
         <dd>Zero-Truncated Poisson Distribution</dd>
       </dl><dl><dt>
-          
-          <code><a href="sample_fct.html">sample_fct()</a></code> 
+
+          <code><a href="sample_fct.html">sample_fct()</a></code>
+
         </dt>
         <dd>Create a Factor with Random Elements of x</dd>
       </dl><dl><dt>
-          
-          <code><a href="var_relabel.html">var_relabel()</a></code> 
+
+          <code><a href="rcd_var_relabel.html">rcd_var_relabel()</a></code>
+
         </dt>
         <dd>Primary Keys: Labels</dd>
       </dl><dl><dt>
-          
-          <code><a href="visit_schedule.html">visit_schedule()</a></code> 
+
+          <code><a href="visit_schedule.html">visit_schedule()</a></code>
+
         </dt>
         <dd>Create Visit Schedule</dd>
       </dl></div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -394,9 +435,9 @@ <h2 id="utility-functions">Utility Functions<a class="anchor" aria-label="anchor
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/mutate_na.html b/latest-tag/reference/mutate_na.html
index cd3e998e..ea6ab95e 100644
--- a/latest-tag/reference/mutate_na.html
+++ b/latest-tag/reference/mutate_na.html
@@ -1,18 +1,15 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
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+Replace column values with NAs."><meta property="og:description" content="
+Replace column values with NAs."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
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   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Replace Values with NA</h1>
-      
+
+      <h1>Replace Values with NA</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
       <div class="d-none name"><code>mutate_na.Rd</code></div>
     </div>
 
@@ -81,11 +67,13 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>ds</dt>
+
+
+<dl><dt id="arg-ds">ds<a class="anchor" aria-label="anchor" href="#arg-ds"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Any data set.</p></dd>
 
 
-<dt>na_vars</dt>
+<dt id="arg-na-vars">na_vars<a class="anchor" aria-label="anchor" href="#arg-na-vars"></a></dt>
 <dd><p>(<code>list</code>)<br> A named list where the name of each element is a column name of <code>ds</code>. Each
 element of this list should be a numeric vector with two elements:</p><ul><li><p><code>seed</code> (<code>numeric</code>)<br> The seed to be used for this element - can be <code>NA</code>.</p></li>
 <li><p><code>percentage</code> (<code>proportion</code>)<br> Percentage of elements to be replaced with <code>NA</code>.
@@ -93,18 +81,16 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>na_percentage</dt>
+<dt id="arg-na-percentage">na_percentage<a class="anchor" aria-label="anchor" href="#arg-na-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Default percentage of values to be replaced by <code>NA</code>.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>dataframe without <code>NA</code> values.</p>
+    <p>dataframe without <code>NA</code> values.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -113,9 +99,9 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/prep_adqlqc.html b/latest-tag/reference/prep_adqlqc.html
new file mode 100644
index 00000000..ab407776
--- /dev/null
+++ b/latest-tag/reference/prep_adqlqc.html
@@ -0,0 +1,8 @@
+<html>
+  <head>
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+    <meta name="robots" content="noindex">
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+
diff --git a/latest-tag/reference/radab.html b/latest-tag/reference/radab.html
index 690f00a3..a5be2c0c 100644
--- a/latest-tag/reference/radab.html
+++ b/latest-tag/reference/radab.html
@@ -1,20 +1,17 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Anti-Drug Antibody Analysis Dataset (ADAB) — radab • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Anti-Drug Antibody Analysis Dataset (ADAB) — radab"><meta name="description" content="
 Function for generating a random Anti-Drug Antibody Analysis Dataset for a given
-Subject-Level Analysis Dataset and Pharmacokinetics Analysis Dataset."><title>Anti-Drug Antibody Analysis Dataset (ADAB) — radab • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Anti-Drug Antibody Analysis Dataset (ADAB) — radab"><meta property="og:description" content="
+Subject-Level Analysis Dataset and Pharmacokinetics Analysis Dataset."><meta property="og:description" content="
 Function for generating a random Anti-Drug Antibody Analysis Dataset for a given
-Subject-Level Analysis Dataset and Pharmacokinetics Analysis Dataset."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+Subject-Level Analysis Dataset and Pharmacokinetics Analysis Dataset."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
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+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
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+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
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 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Anti-Drug Antibody Analysis Dataset (ADAB)</h1>
-      
+
+      <h1>Anti-Drug Antibody Analysis Dataset (ADAB)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radab.R" class="external-link"><code>R/radab.R</code></a></small>
       <div class="d-none name"><code>radab.Rd</code></div>
     </div>
 
@@ -110,39 +96,41 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>adpc</dt>
+<dt id="arg-adpc">adpc<a class="anchor" aria-label="anchor" href="#arg-adpc"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Pharmacokinetics Analysis Dataset.</p></dd>
 
 
-<dt>constants</dt>
+<dt id="arg-constants">constants<a class="anchor" aria-label="anchor" href="#arg-constants"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Constant parameters to be used in formulas for creating analysis values.</p></dd>
 
 
-<dt>paramcd</dt>
+<dt id="arg-paramcd">paramcd<a class="anchor" aria-label="anchor" href="#arg-paramcd"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter code values.</p></dd>
 
 
-<dt>param</dt>
+<dt id="arg-param">param<a class="anchor" aria-label="anchor" href="#arg-param"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter values.</p></dd>
 
 
-<dt>avalu</dt>
+<dt id="arg-avalu">avalu<a class="anchor" aria-label="anchor" href="#arg-avalu"></a></dt>
 <dd><p>(<code>character</code>)<br> Analysis value units.</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>na_percentage</dt>
+<dt id="arg-na-percentage">na_percentage<a class="anchor" aria-label="anchor" href="#arg-na-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Default percentage of values to be replaced by <code>NA</code>.</p></dd>
 
 
-<dt>na_vars</dt>
+<dt id="arg-na-vars">na_vars<a class="anchor" aria-label="anchor" href="#arg-na-vars"></a></dt>
 <dd><p>(<code>list</code>)<br> A named list where the name of each element is a column name of <code>ds</code>. Each
 element of this list should be a numeric vector with two elements:</p><ul><li><p><code>seed</code> (<code>numeric</code>)<br> The seed to be used for this element - can be <code>NA</code>.</p></li>
 <li><p><code>percentage</code> (<code>proportion</code>)<br> Percentage of elements to be replaced with <code>NA</code>.
@@ -150,18 +138,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>cached</dt>
+<dt id="arg-cached">cached<a class="anchor" aria-label="anchor" href="#arg-cached"></a></dt>
 <dd><p>boolean whether the cached ADAB data <code>cadab</code> should be returned or new data
 should be generated. If set to <code>TRUE</code> then the other arguments to <code>radab</code> will be ignored.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -194,7 +178,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   NRRLT &lt;dbl&gt;, ARRLT &lt;dbl&gt;</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -203,9 +187,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/radae.html b/latest-tag/reference/radae.html
index bee63768..e66e75f8 100644
--- a/latest-tag/reference/radae.html
+++ b/latest-tag/reference/radae.html
@@ -1,20 +1,17 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
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 Function for generating random Adverse Event Analysis Dataset for a given
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+Subject-Level Analysis Dataset."><meta property="og:description" content="
 Function for generating random Adverse Event Analysis Dataset for a given
-Subject-Level Analysis Dataset."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+Subject-Level Analysis Dataset."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
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+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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@@ -22,52 +19,41 @@
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+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
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+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
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+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
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   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Adverse Event Analysis Dataset (ADAE)</h1>
-      
+
+      <h1>Adverse Event Analysis Dataset (ADAE)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radae.R" class="external-link"><code>R/radae.R</code></a></small>
       <div class="d-none name"><code>radae.Rd</code></div>
     </div>
 
@@ -93,31 +79,33 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>max_n_aes</dt>
+<dt id="arg-max-n-aes">max_n_aes<a class="anchor" aria-label="anchor" href="#arg-max-n-aes"></a></dt>
 <dd><p>(<code>integer</code>)<br> Maximum number of AEs per patient. Defaults to 10.</p></dd>
 
 
-<dt>lookup</dt>
+<dt id="arg-lookup">lookup<a class="anchor" aria-label="anchor" href="#arg-lookup"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Additional parameters.</p></dd>
 
 
-<dt>lookup_aag</dt>
+<dt id="arg-lookup-aag">lookup_aag<a class="anchor" aria-label="anchor" href="#arg-lookup-aag"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Additional metadata parameters.</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>na_percentage</dt>
+<dt id="arg-na-percentage">na_percentage<a class="anchor" aria-label="anchor" href="#arg-na-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Default percentage of values to be replaced by <code>NA</code>.</p></dd>
 
 
-<dt>na_vars</dt>
+<dt id="arg-na-vars">na_vars<a class="anchor" aria-label="anchor" href="#arg-na-vars"></a></dt>
 <dd><p>(<code>list</code>)<br> A named list where the name of each element is a column name of <code>ds</code>. Each
 element of this list should be a numeric vector with two elements:</p><ul><li><p><code>seed</code> (<code>numeric</code>)<br> The seed to be used for this element - can be <code>NA</code>.</p></li>
 <li><p><code>percentage</code> (<code>proportion</code>)<br> Percentage of elements to be replaced with <code>NA</code>.
@@ -125,18 +113,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>cached</dt>
+<dt id="arg-cached">cached<a class="anchor" aria-label="anchor" href="#arg-cached"></a></dt>
 <dd><p>boolean whether the cached ADAE data <code>cadae</code> should be returned or new data
 should be generated. If set to <code>TRUE</code> then the other arguments to <code>radae</code> will be ignored.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -208,7 +192,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> dcd D.2.1.5.3                        0                        6</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -217,9 +201,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/radaette.html b/latest-tag/reference/radaette.html
index 091d2930..fbf15cce 100644
--- a/latest-tag/reference/radaette.html
+++ b/latest-tag/reference/radaette.html
@@ -1,20 +1,17 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Time to Adverse Event Analysis Dataset (ADAETTE) — radaette • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Time to Adverse Event Analysis Dataset (ADAETTE) — radaette"><meta name="description" content="
 Function to generate random Time-to-AE Dataset for a
-given Subject-Level Analysis Dataset."><title>Time to Adverse Event Analysis Dataset (ADAETTE) — radaette • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Time to Adverse Event Analysis Dataset (ADAETTE) — radaette"><meta property="og:description" content="
+given Subject-Level Analysis Dataset."><meta property="og:description" content="
 Function to generate random Time-to-AE Dataset for a
-given Subject-Level Analysis Dataset."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+given Subject-Level Analysis Dataset."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -22,52 +19,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
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-  <a class="nav-link" href="../news/index.html">Changelog</a>
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 <!-- start dropdown for versions --> <li class="nav-item dropdown">
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+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
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-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
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+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Time to Adverse Event Analysis Dataset (ADAETTE)</h1>
-      
+
+      <h1>Time to Adverse Event Analysis Dataset (ADAETTE)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radaette.R" class="external-link"><code>R/radaette.R</code></a></small>
       <div class="d-none name"><code>radaette.Rd</code></div>
     </div>
 
@@ -93,31 +79,33 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>event_descr</dt>
+<dt id="arg-event-descr">event_descr<a class="anchor" aria-label="anchor" href="#arg-event-descr"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Descriptions of events. Defaults to <code>NULL</code>.</p></dd>
 
 
-<dt>censor_descr</dt>
+<dt id="arg-censor-descr">censor_descr<a class="anchor" aria-label="anchor" href="#arg-censor-descr"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Descriptions of censors. Defaults to <code>NULL</code>.</p></dd>
 
 
-<dt>lookup</dt>
+<dt id="arg-lookup">lookup<a class="anchor" aria-label="anchor" href="#arg-lookup"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Additional parameters.</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>na_percentage</dt>
+<dt id="arg-na-percentage">na_percentage<a class="anchor" aria-label="anchor" href="#arg-na-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Default percentage of values to be replaced by <code>NA</code>.</p></dd>
 
 
-<dt>na_vars</dt>
+<dt id="arg-na-vars">na_vars<a class="anchor" aria-label="anchor" href="#arg-na-vars"></a></dt>
 <dd><p>(<code>list</code>)<br> A named list where the name of each element is a column name of <code>ds</code>. Each
 element of this list should be a numeric vector with two elements:</p><ul><li><p><code>seed</code> (<code>numeric</code>)<br> The seed to be used for this element - can be <code>NA</code>.</p></li>
 <li><p><code>percentage</code> (<code>proportion</code>)<br> Percentage of elements to be replaced with <code>NA</code>.
@@ -125,18 +113,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>cached</dt>
+<dt id="arg-cached">cached<a class="anchor" aria-label="anchor" href="#arg-cached"></a></dt>
 <dd><p>boolean whether the cached ADAETTE data <code>cadaette</code> should be returned or new data
 should be generated. If set to <code>TRUE</code> then the other arguments to <code>radaette</code> will be ignored.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -175,7 +159,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   TRT01SDTM &lt;dttm&gt;, TRT01EDTM &lt;dttm&gt;, TRT02SDTM &lt;dttm&gt;, TRT02EDTM &lt;dttm&gt;, …</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -184,9 +168,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/radcm.html b/latest-tag/reference/radcm.html
index 3c5a2d21..c5edd9b2 100644
--- a/latest-tag/reference/radcm.html
+++ b/latest-tag/reference/radcm.html
@@ -1,20 +1,17 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm"><meta name="description" content="
 Function for generating random Concomitant Medication Analysis Dataset for a given
-Subject-Level Analysis Dataset."><title>Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm"><meta property="og:description" content="
+Subject-Level Analysis Dataset."><meta property="og:description" content="
 Function for generating random Concomitant Medication Analysis Dataset for a given
-Subject-Level Analysis Dataset."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+Subject-Level Analysis Dataset."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -22,52 +19,41 @@
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     <div id="navbar" class="collapse navbar-collapse ms-3">
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+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
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+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
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+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
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+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
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+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
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-    
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 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Previous and Concomitant Medications Analysis Dataset (ADCM)</h1>
-      
+
+      <h1>Previous and Concomitant Medications Analysis Dataset (ADCM)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radcm.R" class="external-link"><code>R/radcm.R</code></a></small>
       <div class="d-none name"><code>radcm.Rd</code></div>
     </div>
 
@@ -93,27 +79,29 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>max_n_cms</dt>
+<dt id="arg-max-n-cms">max_n_cms<a class="anchor" aria-label="anchor" href="#arg-max-n-cms"></a></dt>
 <dd><p>(<code>integer</code>)<br> Maximum number of concomitant medications per patient. Defaults to 10.</p></dd>
 
 
-<dt>lookup</dt>
+<dt id="arg-lookup">lookup<a class="anchor" aria-label="anchor" href="#arg-lookup"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Additional parameters.</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>na_percentage</dt>
+<dt id="arg-na-percentage">na_percentage<a class="anchor" aria-label="anchor" href="#arg-na-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Default percentage of values to be replaced by <code>NA</code>.</p></dd>
 
 
-<dt>na_vars</dt>
+<dt id="arg-na-vars">na_vars<a class="anchor" aria-label="anchor" href="#arg-na-vars"></a></dt>
 <dd><p>(<code>list</code>)<br> A named list where the name of each element is a column name of <code>ds</code>. Each
 element of this list should be a numeric vector with two elements:</p><ul><li><p><code>seed</code> (<code>numeric</code>)<br> The seed to be used for this element - can be <code>NA</code>.</p></li>
 <li><p><code>percentage</code> (<code>proportion</code>)<br> Percentage of elements to be replaced with <code>NA</code>.
@@ -121,22 +109,18 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>who_coding</dt>
+<dt id="arg-who-coding">who_coding<a class="anchor" aria-label="anchor" href="#arg-who-coding"></a></dt>
 <dd><p>(<code>flag</code>)<br> Whether WHO coding (with multiple paths per medication) should be used.</p></dd>
 
 
-<dt>cached</dt>
+<dt id="arg-cached">cached<a class="anchor" aria-label="anchor" href="#arg-cached"></a></dt>
 <dd><p>boolean whether the cached ADCM data <code>cadcm</code> should be returned or new data
 should be generated. If set to <code>TRUE</code> then the other arguments to <code>radcm</code> will be ignored.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -195,7 +179,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   TRT01SDTM &lt;dttm&gt;, TRT01EDTM &lt;dttm&gt;, TRT02SDTM &lt;dttm&gt;, TRT02EDTM &lt;dttm&gt;, …</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -204,9 +188,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/raddv.html b/latest-tag/reference/raddv.html
index 0e8a66be..fea263c1 100644
--- a/latest-tag/reference/raddv.html
+++ b/latest-tag/reference/raddv.html
@@ -1,20 +1,17 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Protocol Deviations Analysis Dataset (ADDV) — raddv • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Protocol Deviations Analysis Dataset (ADDV) — raddv"><meta name="description" content="
 Function for generating random Protocol Deviations Analysis Dataset for a given
-Subject-Level Analysis Dataset."><title>Protocol Deviations Analysis Dataset (ADDV) — raddv • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Protocol Deviations Analysis Dataset (ADDV) — raddv"><meta property="og:description" content="
+Subject-Level Analysis Dataset."><meta property="og:description" content="
 Function for generating random Protocol Deviations Analysis Dataset for a given
-Subject-Level Analysis Dataset."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
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+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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-      <img src="" class="logo" alt=""><h1>Protocol Deviations Analysis Dataset (ADDV)</h1>
-      
+
+      <h1>Protocol Deviations Analysis Dataset (ADDV)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/raddv.R" class="external-link"><code>R/raddv.R</code></a></small>
       <div class="d-none name"><code>raddv.Rd</code></div>
     </div>
 
@@ -94,31 +80,33 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>max_n_dv</dt>
+<dt id="arg-max-n-dv">max_n_dv<a class="anchor" aria-label="anchor" href="#arg-max-n-dv"></a></dt>
 <dd><p>(<code>integer</code>)<br> Maximum number of deviations per patient. Defaults to 3.</p></dd>
 
 
-<dt>p_dv</dt>
+<dt id="arg-p-dv">p_dv<a class="anchor" aria-label="anchor" href="#arg-p-dv"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Probability of a patient having protocol deviations.</p></dd>
 
 
-<dt>lookup</dt>
+<dt id="arg-lookup">lookup<a class="anchor" aria-label="anchor" href="#arg-lookup"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Additional parameters.</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>na_percentage</dt>
+<dt id="arg-na-percentage">na_percentage<a class="anchor" aria-label="anchor" href="#arg-na-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Default percentage of values to be replaced by <code>NA</code>.</p></dd>
 
 
-<dt>na_vars</dt>
+<dt id="arg-na-vars">na_vars<a class="anchor" aria-label="anchor" href="#arg-na-vars"></a></dt>
 <dd><p>(<code>list</code>)<br> A named list where the name of each element is a column name of <code>ds</code>. Each
 element of this list should be a numeric vector with two elements:</p><ul><li><p><code>seed</code> (<code>numeric</code>)<br> The seed to be used for this element - can be <code>NA</code>.</p></li>
 <li><p><code>percentage</code> (<code>proportion</code>)<br> Percentage of elements to be replaced with <code>NA</code>.
@@ -126,18 +114,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>cached</dt>
+<dt id="arg-cached">cached<a class="anchor" aria-label="anchor" href="#arg-cached"></a></dt>
 <dd><p>boolean whether the cached ADDV data <code>caddv</code> should be returned or new data
 should be generated. If set to <code>TRUE</code> then the other arguments to <code>raddv</code> will be ignored.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -172,7 +156,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   AP01SDTM &lt;dttm&gt;, AP01EDTM &lt;dttm&gt;, AP02SDTM &lt;dttm&gt;, AP02EDTM &lt;dttm&gt;, …</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -181,9 +165,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/radeg.html b/latest-tag/reference/radeg.html
index e9b9d86d..2c5c0ef3 100644
--- a/latest-tag/reference/radeg.html
+++ b/latest-tag/reference/radeg.html
@@ -1,20 +1,17 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>ECG Analysis Dataset (ADEG) — radeg • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="ECG Analysis Dataset (ADEG) — radeg"><meta name="description" content="
 Function for generating random dataset from ECG Analysis Dataset for a given
-Subject-Level Analysis Dataset."><title>ECG Analysis Dataset (ADEG) — radeg • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="ECG Analysis Dataset (ADEG) — radeg"><meta property="og:description" content="
+Subject-Level Analysis Dataset."><meta property="og:description" content="
 Function for generating random dataset from ECG Analysis Dataset for a given
-Subject-Level Analysis Dataset."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+Subject-Level Analysis Dataset."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
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+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -22,52 +19,41 @@
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-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
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+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
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+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
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+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
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+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
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   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>ECG Analysis Dataset (ADEG)</h1>
-      
+
+      <h1>ECG Analysis Dataset (ADEG)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radeg.R" class="external-link"><code>R/radeg.R</code></a></small>
       <div class="d-none name"><code>radeg.Rd</code></div>
     </div>
 
@@ -100,55 +86,57 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>egcat</dt>
+<dt id="arg-egcat">egcat<a class="anchor" aria-label="anchor" href="#arg-egcat"></a></dt>
 <dd><p>(<code>character vector</code>)<br> EG category values.</p></dd>
 
 
-<dt>param</dt>
+<dt id="arg-param">param<a class="anchor" aria-label="anchor" href="#arg-param"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter values.</p></dd>
 
 
-<dt>paramcd</dt>
+<dt id="arg-paramcd">paramcd<a class="anchor" aria-label="anchor" href="#arg-paramcd"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter code values.</p></dd>
 
 
-<dt>paramu</dt>
+<dt id="arg-paramu">paramu<a class="anchor" aria-label="anchor" href="#arg-paramu"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter unit values.</p></dd>
 
 
-<dt>visit_format</dt>
+<dt id="arg-visit-format">visit_format<a class="anchor" aria-label="anchor" href="#arg-visit-format"></a></dt>
 <dd><p>(<code>character</code>)<br> Type of visit. Options are "WEEK" and "CYCLE".</p></dd>
 
 
-<dt>n_assessments</dt>
+<dt id="arg-n-assessments">n_assessments<a class="anchor" aria-label="anchor" href="#arg-n-assessments"></a></dt>
 <dd><p>(<code>integer</code>)<br> Number of weeks or cycles.</p></dd>
 
 
-<dt>n_days</dt>
+<dt id="arg-n-days">n_days<a class="anchor" aria-label="anchor" href="#arg-n-days"></a></dt>
 <dd><p>(<code>integer</code>)<br> Number of days in each cycle (only used if <code>visit_format</code> is "CYCLE").</p></dd>
 
 
-<dt>max_n_eg</dt>
+<dt id="arg-max-n-eg">max_n_eg<a class="anchor" aria-label="anchor" href="#arg-max-n-eg"></a></dt>
 <dd><p>(<code>integer</code>)<br> Maximum number of EG results per patient. Defaults to 10.</p></dd>
 
 
-<dt>lookup</dt>
+<dt id="arg-lookup">lookup<a class="anchor" aria-label="anchor" href="#arg-lookup"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Additional parameters.</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>na_percentage</dt>
+<dt id="arg-na-percentage">na_percentage<a class="anchor" aria-label="anchor" href="#arg-na-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Default percentage of values to be replaced by <code>NA</code>.</p></dd>
 
 
-<dt>na_vars</dt>
+<dt id="arg-na-vars">na_vars<a class="anchor" aria-label="anchor" href="#arg-na-vars"></a></dt>
 <dd><p>(<code>list</code>)<br> A named list where the name of each element is a column name of <code>ds</code>. Each
 element of this list should be a numeric vector with two elements:</p><ul><li><p><code>seed</code> (<code>numeric</code>)<br> The seed to be used for this element - can be <code>NA</code>.</p></li>
 <li><p><code>percentage</code> (<code>proportion</code>)<br> Percentage of elements to be replaced with <code>NA</code>.
@@ -156,18 +144,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>cached</dt>
+<dt id="arg-cached">cached<a class="anchor" aria-label="anchor" href="#arg-cached"></a></dt>
 <dd><p>boolean whether the cached ADEG data <code>cadeg</code> should be returned or new data
 should be generated. If set to <code>TRUE</code> then the other arguments to <code>radeg</code> will be ignored.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -230,7 +214,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   TRT01SDTM &lt;dttm&gt;, TRT01EDTM &lt;dttm&gt;, TRT02SDTM &lt;dttm&gt;, TRT02EDTM &lt;dttm&gt;, …</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -239,9 +223,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/radex.html b/latest-tag/reference/radex.html
index 44392054..ee47fbda 100644
--- a/latest-tag/reference/radex.html
+++ b/latest-tag/reference/radex.html
@@ -1,20 +1,17 @@
 <!DOCTYPE html>
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 Function for generating random Exposure Analysis Dataset for a given
-Subject-Level Analysis Dataset."><title>Exposure Analysis Dataset (ADEX) — radex • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Exposure Analysis Dataset (ADEX) — radex"><meta property="og:description" content="
+Subject-Level Analysis Dataset."><meta property="og:description" content="
 Function for generating random Exposure Analysis Dataset for a given
-Subject-Level Analysis Dataset."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+Subject-Level Analysis Dataset."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
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+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Exposure Analysis Dataset (ADEX)</h1>
-      
+
+      <h1>Exposure Analysis Dataset (ADEX)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radex.R" class="external-link"><code>R/radex.R</code></a></small>
       <div class="d-none name"><code>radex.Rd</code></div>
     </div>
 
@@ -102,59 +88,61 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>param</dt>
+<dt id="arg-param">param<a class="anchor" aria-label="anchor" href="#arg-param"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter values.</p></dd>
 
 
-<dt>paramcd</dt>
+<dt id="arg-paramcd">paramcd<a class="anchor" aria-label="anchor" href="#arg-paramcd"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter code values.</p></dd>
 
 
-<dt>paramu</dt>
+<dt id="arg-paramu">paramu<a class="anchor" aria-label="anchor" href="#arg-paramu"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter unit values.</p></dd>
 
 
-<dt>parcat1</dt>
+<dt id="arg-parcat-">parcat1<a class="anchor" aria-label="anchor" href="#arg-parcat-"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Dose amount categories. Defaults to "Individual" and "Overall".</p></dd>
 
 
-<dt>parcat2</dt>
+<dt id="arg-parcat-">parcat2<a class="anchor" aria-label="anchor" href="#arg-parcat-"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Types of drug received. Defaults to "Drug A" and "Drug B".</p></dd>
 
 
-<dt>visit_format</dt>
+<dt id="arg-visit-format">visit_format<a class="anchor" aria-label="anchor" href="#arg-visit-format"></a></dt>
 <dd><p>(<code>character</code>)<br> Type of visit. Options are "WEEK" and "CYCLE".</p></dd>
 
 
-<dt>n_assessments</dt>
+<dt id="arg-n-assessments">n_assessments<a class="anchor" aria-label="anchor" href="#arg-n-assessments"></a></dt>
 <dd><p>(<code>integer</code>)<br> Number of weeks or cycles.</p></dd>
 
 
-<dt>n_days</dt>
+<dt id="arg-n-days">n_days<a class="anchor" aria-label="anchor" href="#arg-n-days"></a></dt>
 <dd><p>(<code>integer</code>)<br> Number of days in each cycle (only used if <code>visit_format</code> is "CYCLE").</p></dd>
 
 
-<dt>max_n_exs</dt>
+<dt id="arg-max-n-exs">max_n_exs<a class="anchor" aria-label="anchor" href="#arg-max-n-exs"></a></dt>
 <dd><p>(<code>integer</code>)<br> Maximum number of exposures per patient. Defaults to 6.</p></dd>
 
 
-<dt>lookup</dt>
+<dt id="arg-lookup">lookup<a class="anchor" aria-label="anchor" href="#arg-lookup"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Additional parameters.</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>na_percentage</dt>
+<dt id="arg-na-percentage">na_percentage<a class="anchor" aria-label="anchor" href="#arg-na-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Default percentage of values to be replaced by <code>NA</code>.</p></dd>
 
 
-<dt>na_vars</dt>
+<dt id="arg-na-vars">na_vars<a class="anchor" aria-label="anchor" href="#arg-na-vars"></a></dt>
 <dd><p>(<code>list</code>)<br> A named list where the name of each element is a column name of <code>ds</code>. Each
 element of this list should be a numeric vector with two elements:</p><ul><li><p><code>seed</code> (<code>numeric</code>)<br> The seed to be used for this element - can be <code>NA</code>.</p></li>
 <li><p><code>percentage</code> (<code>proportion</code>)<br> Percentage of elements to be replaced with <code>NA</code>.
@@ -162,18 +150,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>cached</dt>
+<dt id="arg-cached">cached<a class="anchor" aria-label="anchor" href="#arg-cached"></a></dt>
 <dd><p>boolean whether the cached ADEX data <code>cadex</code> should be returned or new data
 should be generated. If set to <code>TRUE</code> then the other arguments to <code>radex</code> will be ignored.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -210,7 +194,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   TRT01SDTM &lt;dttm&gt;, TRT01EDTM &lt;dttm&gt;, TRT02SDTM &lt;dttm&gt;, TRT02EDTM &lt;dttm&gt;, …</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -219,9 +203,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/radhy.html b/latest-tag/reference/radhy.html
index af8704db..d52a8d06 100644
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+++ b/latest-tag/reference/radhy.html
@@ -1,20 +1,17 @@
 <!DOCTYPE html>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Hy's Law Analysis Dataset (ADHY) — radhy • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Hy's Law Analysis Dataset (ADHY) — radhy"><meta name="description" content="
 Function for generating a random Hy's Law Analysis Dataset for a given
-Subject-Level Analysis Dataset."><title>Hy's Law Analysis Dataset (ADHY) — radhy • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Hy's Law Analysis Dataset (ADHY) — radhy"><meta property="og:description" content="
+Subject-Level Analysis Dataset."><meta property="og:description" content="
 Function for generating a random Hy's Law Analysis Dataset for a given
-Subject-Level Analysis Dataset."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+Subject-Level Analysis Dataset."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
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-    
 
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+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
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 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Hy's Law Analysis Dataset (ADHY)</h1>
-      
+
+      <h1>Hy's Law Analysis Dataset (ADHY)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radhy.R" class="external-link"><code>R/radhy.R</code></a></small>
       <div class="d-none name"><code>radhy.Rd</code></div>
     </div>
 
@@ -113,34 +99,32 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>param</dt>
+<dt id="arg-param">param<a class="anchor" aria-label="anchor" href="#arg-param"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter values.</p></dd>
 
 
-<dt>paramcd</dt>
+<dt id="arg-paramcd">paramcd<a class="anchor" aria-label="anchor" href="#arg-paramcd"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter code values.</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>cached</dt>
+<dt id="arg-cached">cached<a class="anchor" aria-label="anchor" href="#arg-cached"></a></dt>
 <dd><p>boolean whether the cached ADHY data <code>cadhy</code> should be returned or new data
 should be generated. If set to <code>TRUE</code> then the other arguments to <code>radhy</code> will be ignored.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -180,7 +164,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   TRT01SDTM &lt;dttm&gt;, TRT01EDTM &lt;dttm&gt;, TRT02SDTM &lt;dttm&gt;, TRT02EDTM &lt;dttm&gt;, …</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -189,9 +173,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/radlb.html b/latest-tag/reference/radlb.html
index 7cfd7ec1..38742870 100644
--- a/latest-tag/reference/radlb.html
+++ b/latest-tag/reference/radlb.html
@@ -1,20 +1,17 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
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 Function for generating a random Laboratory Data Analysis Dataset for a given
-Subject-Level Analysis Dataset."><title>Laboratory Data Analysis Dataset (ADLB) — radlb • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Laboratory Data Analysis Dataset (ADLB) — radlb"><meta property="og:description" content="
+Subject-Level Analysis Dataset."><meta property="og:description" content="
 Function for generating a random Laboratory Data Analysis Dataset for a given
-Subject-Level Analysis Dataset."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+Subject-Level Analysis Dataset."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
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+
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
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+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
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   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Laboratory Data Analysis Dataset (ADLB)</h1>
-      
+
+      <h1>Laboratory Data Analysis Dataset (ADLB)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radlb.R" class="external-link"><code>R/radlb.R</code></a></small>
       <div class="d-none name"><code>radlb.Rd</code></div>
     </div>
 
@@ -103,59 +89,61 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>lbcat</dt>
+<dt id="arg-lbcat">lbcat<a class="anchor" aria-label="anchor" href="#arg-lbcat"></a></dt>
 <dd><p>(<code>character vector</code>)<br> LB category values.</p></dd>
 
 
-<dt>param</dt>
+<dt id="arg-param">param<a class="anchor" aria-label="anchor" href="#arg-param"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter values.</p></dd>
 
 
-<dt>paramcd</dt>
+<dt id="arg-paramcd">paramcd<a class="anchor" aria-label="anchor" href="#arg-paramcd"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter code values.</p></dd>
 
 
-<dt>paramu</dt>
+<dt id="arg-paramu">paramu<a class="anchor" aria-label="anchor" href="#arg-paramu"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter unit values.</p></dd>
 
 
-<dt>aval_mean</dt>
+<dt id="arg-aval-mean">aval_mean<a class="anchor" aria-label="anchor" href="#arg-aval-mean"></a></dt>
 <dd><p>(<code>numeric vector</code>)<br> Mean values corresponding to each parameter.</p></dd>
 
 
-<dt>visit_format</dt>
+<dt id="arg-visit-format">visit_format<a class="anchor" aria-label="anchor" href="#arg-visit-format"></a></dt>
 <dd><p>(<code>character</code>)<br> Type of visit. Options are "WEEK" and "CYCLE".</p></dd>
 
 
-<dt>n_assessments</dt>
+<dt id="arg-n-assessments">n_assessments<a class="anchor" aria-label="anchor" href="#arg-n-assessments"></a></dt>
 <dd><p>(<code>integer</code>)<br> Number of weeks or cycles.</p></dd>
 
 
-<dt>n_days</dt>
+<dt id="arg-n-days">n_days<a class="anchor" aria-label="anchor" href="#arg-n-days"></a></dt>
 <dd><p>(<code>integer</code>)<br> Number of days in each cycle (only used if <code>visit_format</code> is "CYCLE").</p></dd>
 
 
-<dt>max_n_lbs</dt>
+<dt id="arg-max-n-lbs">max_n_lbs<a class="anchor" aria-label="anchor" href="#arg-max-n-lbs"></a></dt>
 <dd><p>(<code>integer</code>)<br> Maximum number of labs per patient. Defaults to 10.</p></dd>
 
 
-<dt>lookup</dt>
+<dt id="arg-lookup">lookup<a class="anchor" aria-label="anchor" href="#arg-lookup"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Additional parameters.</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>na_percentage</dt>
+<dt id="arg-na-percentage">na_percentage<a class="anchor" aria-label="anchor" href="#arg-na-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Default percentage of values to be replaced by <code>NA</code>.</p></dd>
 
 
-<dt>na_vars</dt>
+<dt id="arg-na-vars">na_vars<a class="anchor" aria-label="anchor" href="#arg-na-vars"></a></dt>
 <dd><p>(<code>list</code>)<br> A named list where the name of each element is a column name of <code>ds</code>. Each
 element of this list should be a numeric vector with two elements:</p><ul><li><p><code>seed</code> (<code>numeric</code>)<br> The seed to be used for this element - can be <code>NA</code>.</p></li>
 <li><p><code>percentage</code> (<code>proportion</code>)<br> Percentage of elements to be replaced with <code>NA</code>.
@@ -163,18 +151,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>cached</dt>
+<dt id="arg-cached">cached<a class="anchor" aria-label="anchor" href="#arg-cached"></a></dt>
 <dd><p>boolean whether the cached ADLB data <code>cadlb</code> should be returned or new data
 should be generated. If set to <code>TRUE</code> then the other arguments to <code>radlb</code> will be ignored.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -237,7 +221,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   TRT01SDTM &lt;dttm&gt;, TRT01EDTM &lt;dttm&gt;, TRT02SDTM &lt;dttm&gt;, TRT02EDTM &lt;dttm&gt;, …</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -246,9 +230,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/radmh.html b/latest-tag/reference/radmh.html
index 3c39fccb..af2aea35 100644
--- a/latest-tag/reference/radmh.html
+++ b/latest-tag/reference/radmh.html
@@ -1,20 +1,17 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Medical History Analysis Dataset (ADMH) — radmh • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Medical History Analysis Dataset (ADMH) — radmh"><meta name="description" content="
 Function for generating a random Medical History Analysis Dataset for a given
-Subject-Level Analysis Dataset."><title>Medical History Analysis Dataset (ADMH) — radmh • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Medical History Analysis Dataset (ADMH) — radmh"><meta property="og:description" content="
+Subject-Level Analysis Dataset."><meta property="og:description" content="
 Function for generating a random Medical History Analysis Dataset for a given
-Subject-Level Analysis Dataset."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+Subject-Level Analysis Dataset."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -22,52 +19,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
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-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
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-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
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 <!-- start dropdown for versions --> <li class="nav-item dropdown">
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+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
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 <!-- end dropdown for versions -->
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-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
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+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Medical History Analysis Dataset (ADMH)</h1>
-      
+
+      <h1>Medical History Analysis Dataset (ADMH)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radmh.R" class="external-link"><code>R/radmh.R</code></a></small>
       <div class="d-none name"><code>radmh.Rd</code></div>
     </div>
 
@@ -92,27 +78,29 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>max_n_mhs</dt>
+<dt id="arg-max-n-mhs">max_n_mhs<a class="anchor" aria-label="anchor" href="#arg-max-n-mhs"></a></dt>
 <dd><p>(<code>integer</code>)<br> Maximum number of MHs per patient. Defaults to 10.</p></dd>
 
 
-<dt>lookup</dt>
+<dt id="arg-lookup">lookup<a class="anchor" aria-label="anchor" href="#arg-lookup"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Additional parameters.</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>na_percentage</dt>
+<dt id="arg-na-percentage">na_percentage<a class="anchor" aria-label="anchor" href="#arg-na-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Default percentage of values to be replaced by <code>NA</code>.</p></dd>
 
 
-<dt>na_vars</dt>
+<dt id="arg-na-vars">na_vars<a class="anchor" aria-label="anchor" href="#arg-na-vars"></a></dt>
 <dd><p>(<code>list</code>)<br> A named list where the name of each element is a column name of <code>ds</code>. Each
 element of this list should be a numeric vector with two elements:</p><ul><li><p><code>seed</code> (<code>numeric</code>)<br> The seed to be used for this element - can be <code>NA</code>.</p></li>
 <li><p><code>percentage</code> (<code>proportion</code>)<br> Percentage of elements to be replaced with <code>NA</code>.
@@ -120,18 +108,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>cached</dt>
+<dt id="arg-cached">cached<a class="anchor" aria-label="anchor" href="#arg-cached"></a></dt>
 <dd><p>boolean whether the cached ADMH data <code>cadmh</code> should be returned or new data
 should be generated. If set to <code>TRUE</code> then the other arguments to <code>radmh</code> will be ignored.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -167,7 +151,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   TRT01SDTM &lt;dttm&gt;, TRT01EDTM &lt;dttm&gt;, TRT02SDTM &lt;dttm&gt;, TRT02EDTM &lt;dttm&gt;, …</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -176,9 +160,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/radpc.html b/latest-tag/reference/radpc.html
index e617f7b5..1ffdaa37 100644
--- a/latest-tag/reference/radpc.html
+++ b/latest-tag/reference/radpc.html
@@ -1,20 +1,17 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Pharmacokinetics Analysis Dataset (ADPC) — radpc • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Pharmacokinetics Analysis Dataset (ADPC) — radpc"><meta name="description" content="
 Function for generating a random Pharmacokinetics Analysis Dataset for a given
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+Subject-Level Analysis Dataset."><meta property="og:description" content="
 Function for generating a random Pharmacokinetics Analysis Dataset for a given
-Subject-Level Analysis Dataset."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+Subject-Level Analysis Dataset."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
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-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -22,52 +19,41 @@
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+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
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+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
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+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
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 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Pharmacokinetics Analysis Dataset (ADPC)</h1>
-      
+
+      <h1>Pharmacokinetics Analysis Dataset (ADPC)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radpc.R" class="external-link"><code>R/radpc.R</code></a></small>
       <div class="d-none name"><code>radpc.Rd</code></div>
     </div>
 
@@ -93,31 +79,33 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>avalu</dt>
+<dt id="arg-avalu">avalu<a class="anchor" aria-label="anchor" href="#arg-avalu"></a></dt>
 <dd><p>(<code>character</code>)<br> Analysis value units.</p></dd>
 
 
-<dt>constants</dt>
+<dt id="arg-constants">constants<a class="anchor" aria-label="anchor" href="#arg-constants"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Constant parameters to be used in formulas for creating analysis values.</p></dd>
 
 
-<dt>duration</dt>
+<dt id="arg-duration">duration<a class="anchor" aria-label="anchor" href="#arg-duration"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Duration in number of days.</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>na_percentage</dt>
+<dt id="arg-na-percentage">na_percentage<a class="anchor" aria-label="anchor" href="#arg-na-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Default percentage of values to be replaced by <code>NA</code>.</p></dd>
 
 
-<dt>na_vars</dt>
+<dt id="arg-na-vars">na_vars<a class="anchor" aria-label="anchor" href="#arg-na-vars"></a></dt>
 <dd><p>(<code>list</code>)<br> A named list where the name of each element is a column name of <code>ds</code>. Each
 element of this list should be a numeric vector with two elements:</p><ul><li><p><code>seed</code> (<code>numeric</code>)<br> The seed to be used for this element - can be <code>NA</code>.</p></li>
 <li><p><code>percentage</code> (<code>proportion</code>)<br> Percentage of elements to be replaced with <code>NA</code>.
@@ -125,18 +113,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>cached</dt>
+<dt id="arg-cached">cached<a class="anchor" aria-label="anchor" href="#arg-cached"></a></dt>
 <dd><p>boolean whether the cached ADPC data <code>cadpc</code> should be returned or new data
 should be generated. If set to <code>TRUE</code> then the other arguments to <code>radpc</code> will be ignored.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -194,7 +178,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   TRT01SDTM &lt;dttm&gt;, TRT01EDTM &lt;dttm&gt;, TRT02SDTM &lt;dttm&gt;, TRT02EDTM &lt;dttm&gt;, …</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -203,9 +187,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/radpp.html b/latest-tag/reference/radpp.html
index cd7bc384..f3e3f54a 100644
--- a/latest-tag/reference/radpp.html
+++ b/latest-tag/reference/radpp.html
@@ -1,20 +1,17 @@
 <!DOCTYPE html>
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Pharmacokinetics Parameters Dataset (ADPP) — radpp • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Pharmacokinetics Parameters Dataset (ADPP) — radpp"><meta name="description" content="
 Function for generating a random Pharmacokinetics Parameters Dataset for a given
-Subject-Level Analysis Dataset."><title>Pharmacokinetics Parameters Dataset (ADPP) — radpp • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Pharmacokinetics Parameters Dataset (ADPP) — radpp"><meta property="og:description" content="
+Subject-Level Analysis Dataset."><meta property="og:description" content="
 Function for generating a random Pharmacokinetics Parameters Dataset for a given
-Subject-Level Analysis Dataset."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
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-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
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-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Pharmacokinetics Parameters Dataset (ADPP)</h1>
-      
+
+      <h1>Pharmacokinetics Parameters Dataset (ADPP)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radpp.R" class="external-link"><code>R/radpp.R</code></a></small>
       <div class="d-none name"><code>radpp.Rd</code></div>
     </div>
 
@@ -103,51 +89,53 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>ppcat</dt>
+<dt id="arg-ppcat">ppcat<a class="anchor" aria-label="anchor" href="#arg-ppcat"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Categories of parameters.</p></dd>
 
 
-<dt>ppspec</dt>
+<dt id="arg-ppspec">ppspec<a class="anchor" aria-label="anchor" href="#arg-ppspec"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Specimen material types.</p></dd>
 
 
-<dt>paramcd</dt>
+<dt id="arg-paramcd">paramcd<a class="anchor" aria-label="anchor" href="#arg-paramcd"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter code values.</p></dd>
 
 
-<dt>param</dt>
+<dt id="arg-param">param<a class="anchor" aria-label="anchor" href="#arg-param"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter values.</p></dd>
 
 
-<dt>paramu</dt>
+<dt id="arg-paramu">paramu<a class="anchor" aria-label="anchor" href="#arg-paramu"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter unit values.</p></dd>
 
 
-<dt>aval_mean</dt>
+<dt id="arg-aval-mean">aval_mean<a class="anchor" aria-label="anchor" href="#arg-aval-mean"></a></dt>
 <dd><p>(<code>numeric vector</code>)<br> Mean values corresponding to each parameter.</p></dd>
 
 
-<dt>visit_format</dt>
+<dt id="arg-visit-format">visit_format<a class="anchor" aria-label="anchor" href="#arg-visit-format"></a></dt>
 <dd><p>(<code>character</code>)<br> Type of visit. Options are "WEEK" and "CYCLE".</p></dd>
 
 
-<dt>n_days</dt>
+<dt id="arg-n-days">n_days<a class="anchor" aria-label="anchor" href="#arg-n-days"></a></dt>
 <dd><p>(<code>integer</code>)<br> Number of days in each cycle (only used if <code>visit_format</code> is "CYCLE").</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>na_percentage</dt>
+<dt id="arg-na-percentage">na_percentage<a class="anchor" aria-label="anchor" href="#arg-na-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Default percentage of values to be replaced by <code>NA</code>.</p></dd>
 
 
-<dt>na_vars</dt>
+<dt id="arg-na-vars">na_vars<a class="anchor" aria-label="anchor" href="#arg-na-vars"></a></dt>
 <dd><p>(<code>list</code>)<br> A named list where the name of each element is a column name of <code>ds</code>. Each
 element of this list should be a numeric vector with two elements:</p><ul><li><p><code>seed</code> (<code>numeric</code>)<br> The seed to be used for this element - can be <code>NA</code>.</p></li>
 <li><p><code>percentage</code> (<code>proportion</code>)<br> Percentage of elements to be replaced with <code>NA</code>.
@@ -155,18 +143,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>cached</dt>
+<dt id="arg-cached">cached<a class="anchor" aria-label="anchor" href="#arg-cached"></a></dt>
 <dd><p>boolean whether the cached ADPP data <code>cadpp</code> should be returned or new data
 should be generated. If set to <code>TRUE</code> then the other arguments to <code>radpp</code> will be ignored.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -8774,7 +8758,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 660 1.340679e+01    13.4067868033689         %     BID  Drug J</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -8783,9 +8767,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/radqlqc.html b/latest-tag/reference/radqlqc.html
index 6af7fa58..43b34546 100644
--- a/latest-tag/reference/radqlqc.html
+++ b/latest-tag/reference/radqlqc.html
@@ -1,20 +1,17 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc"><meta name="description" content="
 Function for generating a random EORTC QLQ-C30 V3 Analysis Dataset for a given
-Subject-Level Analysis Dataset."><title>EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc"><meta property="og:description" content="
+Subject-Level Analysis Dataset."><meta property="og:description" content="
 Function for generating a random EORTC QLQ-C30 V3 Analysis Dataset for a given
-Subject-Level Analysis Dataset."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+Subject-Level Analysis Dataset."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -22,52 +19,41 @@
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-      <ul class="navbar-nav me-auto"><li class="active nav-item">
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+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
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+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
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 <!-- start dropdown for versions --> <li class="nav-item dropdown">
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+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
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-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC)</h1>
-      
+
+      <h1>EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radqlqc.R" class="external-link"><code>R/radqlqc.R</code></a></small>
       <div class="d-none name"><code>radqlqc.Rd</code></div>
     </div>
 
@@ -84,34 +70,32 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>percent</dt>
+<dt id="arg-percent">percent<a class="anchor" aria-label="anchor" href="#arg-percent"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Completion - Completed at least y percent of questions, 1 record per visit</p></dd>
 
 
-<dt>number</dt>
+<dt id="arg-number">number<a class="anchor" aria-label="anchor" href="#arg-number"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Completion - Completed at least x question(s), 1 record per visit</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>cached</dt>
+<dt id="arg-cached">cached<a class="anchor" aria-label="anchor" href="#arg-cached"></a></dt>
 <dd><p>boolean whether the cached ADQLQC data <code>cadqlqc</code> should be returned or new data
 should be generated. If set to <code>TRUE</code> then the other arguments to <code>radqlqc</code> will be ignored.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -146,7 +130,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   PARAMCD &lt;fct&gt;, PARCAT1 &lt;fct&gt;, PARCAT1N &lt;dbl&gt;, PARCAT2 &lt;fct&gt;, AVAL &lt;dbl&gt;, …</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -155,9 +139,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/radqs.html b/latest-tag/reference/radqs.html
index f279e695..afaacc0b 100644
--- a/latest-tag/reference/radqs.html
+++ b/latest-tag/reference/radqs.html
@@ -1,20 +1,17 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Questionnaires Analysis Dataset (ADQS) — radqs • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Questionnaires Analysis Dataset (ADQS) — radqs"><meta name="description" content="
 Function for generating a random Questionnaires Analysis Dataset for a given
-Subject-Level Analysis Dataset."><title>Questionnaires Analysis Dataset (ADQS) — radqs • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Questionnaires Analysis Dataset (ADQS) — radqs"><meta property="og:description" content="
+Subject-Level Analysis Dataset."><meta property="og:description" content="
 Function for generating a random Questionnaires Analysis Dataset for a given
-Subject-Level Analysis Dataset."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+Subject-Level Analysis Dataset."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -22,52 +19,41 @@
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-      <ul class="navbar-nav me-auto"><li class="active nav-item">
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+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
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+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
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+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Questionnaires Analysis Dataset (ADQS)</h1>
-      
+
+      <h1>Questionnaires Analysis Dataset (ADQS)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radqs.R" class="external-link"><code>R/radqs.R</code></a></small>
       <div class="d-none name"><code>radqs.Rd</code></div>
     </div>
 
@@ -98,39 +84,41 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>param</dt>
+<dt id="arg-param">param<a class="anchor" aria-label="anchor" href="#arg-param"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter values.</p></dd>
 
 
-<dt>paramcd</dt>
+<dt id="arg-paramcd">paramcd<a class="anchor" aria-label="anchor" href="#arg-paramcd"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter code values.</p></dd>
 
 
-<dt>visit_format</dt>
+<dt id="arg-visit-format">visit_format<a class="anchor" aria-label="anchor" href="#arg-visit-format"></a></dt>
 <dd><p>(<code>character</code>)<br> Type of visit. Options are "WEEK" and "CYCLE".</p></dd>
 
 
-<dt>n_assessments</dt>
+<dt id="arg-n-assessments">n_assessments<a class="anchor" aria-label="anchor" href="#arg-n-assessments"></a></dt>
 <dd><p>(<code>integer</code>)<br> Number of weeks or cycles.</p></dd>
 
 
-<dt>n_days</dt>
+<dt id="arg-n-days">n_days<a class="anchor" aria-label="anchor" href="#arg-n-days"></a></dt>
 <dd><p>(<code>integer</code>)<br> Number of days in each cycle (only used if <code>visit_format</code> is "CYCLE").</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>na_percentage</dt>
+<dt id="arg-na-percentage">na_percentage<a class="anchor" aria-label="anchor" href="#arg-na-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Default percentage of values to be replaced by <code>NA</code>.</p></dd>
 
 
-<dt>na_vars</dt>
+<dt id="arg-na-vars">na_vars<a class="anchor" aria-label="anchor" href="#arg-na-vars"></a></dt>
 <dd><p>(<code>list</code>)<br> A named list where the name of each element is a column name of <code>ds</code>. Each
 element of this list should be a numeric vector with two elements:</p><ul><li><p><code>seed</code> (<code>numeric</code>)<br> The seed to be used for this element - can be <code>NA</code>.</p></li>
 <li><p><code>percentage</code> (<code>proportion</code>)<br> Percentage of elements to be replaced with <code>NA</code>.
@@ -138,18 +126,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>cached</dt>
+<dt id="arg-cached">cached<a class="anchor" aria-label="anchor" href="#arg-cached"></a></dt>
 <dd><p>boolean whether the cached ADQS data <code>cadqs</code> should be returned or new data
 should be generated. If set to <code>TRUE</code> then the other arguments to <code>radqs</code> will be ignored.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -212,7 +196,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   TRT01SDTM &lt;dttm&gt;, TRT01EDTM &lt;dttm&gt;, TRT02SDTM &lt;dttm&gt;, TRT02EDTM &lt;dttm&gt;, …</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -221,9 +205,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/radrs.html b/latest-tag/reference/radrs.html
index 717366fd..40515ee6 100644
--- a/latest-tag/reference/radrs.html
+++ b/latest-tag/reference/radrs.html
@@ -1,20 +1,17 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Tumor Response Analysis Dataset (ADRS) — radrs • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Tumor Response Analysis Dataset (ADRS) — radrs"><meta name="description" content="
 Function for generating a random Tumor Response Analysis Dataset for a given
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+Subject-Level Analysis Dataset."><meta property="og:description" content="
 Function for generating a random Tumor Response Analysis Dataset for a given
-Subject-Level Analysis Dataset."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Tumor Response Analysis Dataset (ADRS)</h1>
-      
+
+      <h1>Tumor Response Analysis Dataset (ADRS)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radrs.R" class="external-link"><code>R/radrs.R</code></a></small>
       <div class="d-none name"><code>radrs.Rd</code></div>
     </div>
 
@@ -92,27 +78,29 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>avalc</dt>
+<dt id="arg-avalc">avalc<a class="anchor" aria-label="anchor" href="#arg-avalc"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Analysis value categories.</p></dd>
 
 
-<dt>lookup</dt>
+<dt id="arg-lookup">lookup<a class="anchor" aria-label="anchor" href="#arg-lookup"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Additional parameters.</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>na_percentage</dt>
+<dt id="arg-na-percentage">na_percentage<a class="anchor" aria-label="anchor" href="#arg-na-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Default percentage of values to be replaced by <code>NA</code>.</p></dd>
 
 
-<dt>na_vars</dt>
+<dt id="arg-na-vars">na_vars<a class="anchor" aria-label="anchor" href="#arg-na-vars"></a></dt>
 <dd><p>(<code>list</code>)<br> A named list where the name of each element is a column name of <code>ds</code>. Each
 element of this list should be a numeric vector with two elements:</p><ul><li><p><code>seed</code> (<code>numeric</code>)<br> The seed to be used for this element - can be <code>NA</code>.</p></li>
 <li><p><code>percentage</code> (<code>proportion</code>)<br> Percentage of elements to be replaced with <code>NA</code>.
@@ -120,18 +108,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>cached</dt>
+<dt id="arg-cached">cached<a class="anchor" aria-label="anchor" href="#arg-cached"></a></dt>
 <dd><p>boolean whether the cached ADRS data <code>cadrs</code> should be returned or new data
 should be generated. If set to <code>TRUE</code> then the other arguments to <code>radrs</code> will be ignored.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -169,7 +153,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   TRT01SDTM &lt;dttm&gt;, TRT01EDTM &lt;dttm&gt;, TRT02SDTM &lt;dttm&gt;, TRT02EDTM &lt;dttm&gt;, …</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -178,9 +162,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/radsaftte.html b/latest-tag/reference/radsaftte.html
index 593ec155..e3940d7c 100644
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+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
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           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
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-    <span class="fa fa-github"></span>
-     
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-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Time to Safety Event Analysis Dataset (ADSAFTTE)</h1>
-      
+
+      <h1>Time to Safety Event Analysis Dataset (ADSAFTTE)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radsaftte.R" class="external-link"><code>R/radsaftte.R</code></a></small>
       <div class="d-none name"><code>radsaftte.Rd</code></div>
     </div>
 
@@ -81,21 +67,19 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Additional arguments to be passed to <code>radaette</code></p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -130,7 +114,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   TRT01SDTM &lt;dttm&gt;, TRT01EDTM &lt;dttm&gt;, TRT02SDTM &lt;dttm&gt;, TRT02EDTM &lt;dttm&gt;, …</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -139,9 +123,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/radsl.html b/latest-tag/reference/radsl.html
index 2e040ea4..736e383a 100644
--- a/latest-tag/reference/radsl.html
+++ b/latest-tag/reference/radsl.html
@@ -1,28 +1,25 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Subject-Level Analysis Dataset (ADSL) — radsl • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Subject-Level Analysis Dataset (ADSL) — radsl"><meta name="description" content="
 The Subject-Level Analysis Dataset (ADSL) is used to provide the variables
 that describe attributes of a subject. ADSL is a source for subject-level
 variables used in other analysis data sets, such as population flags and
 treatment variables. There is only one ADSL per study. ADSL and its related
 metadata are required in a CDISC-based submission of data from a clinical
-trial even if no other analysis data sets are submitted."><title>Subject-Level Analysis Dataset (ADSL) — radsl • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Subject-Level Analysis Dataset (ADSL) — radsl"><meta property="og:description" content="
+trial even if no other analysis data sets are submitted."><meta property="og:description" content="
 The Subject-Level Analysis Dataset (ADSL) is used to provide the variables
 that describe attributes of a subject. ADSL is a source for subject-level
 variables used in other analysis data sets, such as population flags and
 treatment variables. There is only one ADSL per study. ADSL and its related
 metadata are required in a CDISC-based submission of data from a clinical
-trial even if no other analysis data sets are submitted."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+trial even if no other analysis data sets are submitted."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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@@ -30,52 +27,41 @@
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+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
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+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
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+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
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+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Subject-Level Analysis Dataset (ADSL)</h1>
-      
+
+      <h1>Subject-Level Analysis Dataset (ADSL)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radsl.R" class="external-link"><code>R/radsl.R</code></a></small>
       <div class="d-none name"><code>radsl.Rd</code></div>
     </div>
 
@@ -106,27 +92,29 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>N</dt>
+
+
+<dl><dt id="arg-n">N<a class="anchor" aria-label="anchor" href="#arg-n"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Number of patients.</p></dd>
 
 
-<dt>study_duration</dt>
+<dt id="arg-study-duration">study_duration<a class="anchor" aria-label="anchor" href="#arg-study-duration"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Duration of study in years.</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>with_trt02</dt>
+<dt id="arg-with-trt-">with_trt02<a class="anchor" aria-label="anchor" href="#arg-with-trt-"></a></dt>
 <dd><p>(<code>logical</code>)<br> Should period 2 be added.</p></dd>
 
 
-<dt>na_percentage</dt>
+<dt id="arg-na-percentage">na_percentage<a class="anchor" aria-label="anchor" href="#arg-na-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Default percentage of values to be replaced by <code>NA</code>.</p></dd>
 
 
-<dt>na_vars</dt>
+<dt id="arg-na-vars">na_vars<a class="anchor" aria-label="anchor" href="#arg-na-vars"></a></dt>
 <dd><p>(<code>list</code>)<br> A named list where the name of each element is a column name of <code>ds</code>. Each
 element of this list should be a numeric vector with two elements:</p><ul><li><p><code>seed</code> (<code>numeric</code>)<br> The seed to be used for this element - can be <code>NA</code>.</p></li>
 <li><p><code>percentage</code> (<code>proportion</code>)<br> Percentage of elements to be replaced with <code>NA</code>.
@@ -134,23 +122,19 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>ae_withdrawal_prob</dt>
+<dt id="arg-ae-withdrawal-prob">ae_withdrawal_prob<a class="anchor" aria-label="anchor" href="#arg-ae-withdrawal-prob"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Probability that there is at least one
 Adverse Event leading to the withdrawal of a study drug.</p></dd>
 
 
-<dt>cached</dt>
+<dt id="arg-cached">cached<a class="anchor" aria-label="anchor" href="#arg-cached"></a></dt>
 <dd><p>boolean whether the cached ADSL data <code>cadsl</code> should be returned or new data
 should be generated. If set to <code>TRUE</code> then the other arguments to <code>radsl</code> will be ignored.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -237,7 +221,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   AP01SDTM &lt;dttm&gt;, AP01EDTM &lt;dttm&gt;, AP02SDTM &lt;dttm&gt;, AP02EDTM &lt;dttm&gt;, …</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -246,9 +230,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/radsub.html b/latest-tag/reference/radsub.html
index 3137b3d2..3e5e199d 100644
--- a/latest-tag/reference/radsub.html
+++ b/latest-tag/reference/radsub.html
@@ -1,20 +1,17 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Subcategory Analysis Dataset (ADSUB) — radsub • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Subcategory Analysis Dataset (ADSUB) — radsub"><meta name="description" content="
 Function for generating a random Subcategory Analysis Dataset for a given
-Subject-Level Analysis Dataset."><title>Subcategory Analysis Dataset (ADSUB) — radsub • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Subcategory Analysis Dataset (ADSUB) — radsub"><meta property="og:description" content="
+Subject-Level Analysis Dataset."><meta property="og:description" content="
 Function for generating a random Subcategory Analysis Dataset for a given
-Subject-Level Analysis Dataset."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+Subject-Level Analysis Dataset."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -22,52 +19,41 @@
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-  <a class="nav-link" href="../reference/index.html">Reference</a>
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+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
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+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
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       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Subcategory Analysis Dataset (ADSUB)</h1>
-      
+
+      <h1>Subcategory Analysis Dataset (ADSUB)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radsub.R" class="external-link"><code>R/radsub.R</code></a></small>
       <div class="d-none name"><code>radsub.Rd</code></div>
     </div>
 
@@ -93,27 +79,29 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>param</dt>
+<dt id="arg-param">param<a class="anchor" aria-label="anchor" href="#arg-param"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter values.</p></dd>
 
 
-<dt>paramcd</dt>
+<dt id="arg-paramcd">paramcd<a class="anchor" aria-label="anchor" href="#arg-paramcd"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter code values.</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>na_percentage</dt>
+<dt id="arg-na-percentage">na_percentage<a class="anchor" aria-label="anchor" href="#arg-na-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Default percentage of values to be replaced by <code>NA</code>.</p></dd>
 
 
-<dt>na_vars</dt>
+<dt id="arg-na-vars">na_vars<a class="anchor" aria-label="anchor" href="#arg-na-vars"></a></dt>
 <dd><p>(<code>list</code>)<br> A named list where the name of each element is a column name of <code>ds</code>. Each
 element of this list should be a numeric vector with two elements:</p><ul><li><p><code>seed</code> (<code>numeric</code>)<br> The seed to be used for this element - can be <code>NA</code>.</p></li>
 <li><p><code>percentage</code> (<code>proportion</code>)<br> Percentage of elements to be replaced with <code>NA</code>.
@@ -121,18 +109,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>cached</dt>
+<dt id="arg-cached">cached<a class="anchor" aria-label="anchor" href="#arg-cached"></a></dt>
 <dd><p>boolean whether the cached ADSUB data <code>cadsub</code> should be returned or new data
 should be generated. If set to <code>TRUE</code> then the other arguments to <code>radsub</code> will be ignored.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -172,7 +156,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   TRT01SDTM &lt;dttm&gt;, TRT01EDTM &lt;dttm&gt;, TRT02SDTM &lt;dttm&gt;, TRT02EDTM &lt;dttm&gt;, …</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -181,9 +165,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/radtr.html b/latest-tag/reference/radtr.html
index 98c3a126..d37c4b5e 100644
--- a/latest-tag/reference/radtr.html
+++ b/latest-tag/reference/radtr.html
@@ -1,20 +1,17 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Tumor Response Analysis Dataset (ADTR) — radtr • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Tumor Response Analysis Dataset (ADTR) — radtr"><meta name="description" content="
 Function for generating a random Tumor Response Analysis Dataset for a given
-Subject-Level Analysis Dataset."><title>Tumor Response Analysis Dataset (ADTR) — radtr • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Tumor Response Analysis Dataset (ADTR) — radtr"><meta property="og:description" content="
+Subject-Level Analysis Dataset."><meta property="og:description" content="
 Function for generating a random Tumor Response Analysis Dataset for a given
-Subject-Level Analysis Dataset."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+Subject-Level Analysis Dataset."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -22,52 +19,41 @@
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   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Tumor Response Analysis Dataset (ADTR)</h1>
-      
+
+      <h1>Tumor Response Analysis Dataset (ADTR)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radtr.R" class="external-link"><code>R/radtr.R</code></a></small>
       <div class="d-none name"><code>radtr.Rd</code></div>
     </div>
 
@@ -91,38 +77,36 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>param</dt>
+<dt id="arg-param">param<a class="anchor" aria-label="anchor" href="#arg-param"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter values.</p></dd>
 
 
-<dt>paramcd</dt>
+<dt id="arg-paramcd">paramcd<a class="anchor" aria-label="anchor" href="#arg-paramcd"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter code values.</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>cached</dt>
+<dt id="arg-cached">cached<a class="anchor" aria-label="anchor" href="#arg-cached"></a></dt>
 <dd><p>boolean whether the cached ADTR data <code>cadtr</code> should be returned or new data
 should be generated. If set to <code>TRUE</code> then the other arguments to <code>radtr</code> will be ignored.</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Additional arguments to be passed to <code>radrs</code>.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -1136,7 +1120,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 70     Y          NA          NA                       Y       Y</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -1145,9 +1129,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/radtte.html b/latest-tag/reference/radtte.html
index cf357782..0162f184 100644
--- a/latest-tag/reference/radtte.html
+++ b/latest-tag/reference/radtte.html
@@ -1,20 +1,17 @@
 <!DOCTYPE html>
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 Function for generating a random Time-to-Event Analysis Dataset for a given
-Subject-Level Analysis Dataset."><title>Time-to-Event Analysis Dataset (ADTTE) — radtte • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Time-to-Event Analysis Dataset (ADTTE) — radtte"><meta property="og:description" content="
+Subject-Level Analysis Dataset."><meta property="og:description" content="
 Function for generating a random Time-to-Event Analysis Dataset for a given
-Subject-Level Analysis Dataset."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+Subject-Level Analysis Dataset."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
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     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Time-to-Event Analysis Dataset (ADTTE)</h1>
-      
+
+      <h1>Time-to-Event Analysis Dataset (ADTTE)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radtte.R" class="external-link"><code>R/radtte.R</code></a></small>
       <div class="d-none name"><code>radtte.Rd</code></div>
     </div>
 
@@ -93,31 +79,33 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>event_descr</dt>
+<dt id="arg-event-descr">event_descr<a class="anchor" aria-label="anchor" href="#arg-event-descr"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Descriptions of events. Defaults to <code>NULL</code>.</p></dd>
 
 
-<dt>censor_descr</dt>
+<dt id="arg-censor-descr">censor_descr<a class="anchor" aria-label="anchor" href="#arg-censor-descr"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Descriptions of censors. Defaults to <code>NULL</code>.</p></dd>
 
 
-<dt>lookup</dt>
+<dt id="arg-lookup">lookup<a class="anchor" aria-label="anchor" href="#arg-lookup"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Additional parameters.</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>na_percentage</dt>
+<dt id="arg-na-percentage">na_percentage<a class="anchor" aria-label="anchor" href="#arg-na-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Default percentage of values to be replaced by <code>NA</code>.</p></dd>
 
 
-<dt>na_vars</dt>
+<dt id="arg-na-vars">na_vars<a class="anchor" aria-label="anchor" href="#arg-na-vars"></a></dt>
 <dd><p>(<code>list</code>)<br> A named list where the name of each element is a column name of <code>ds</code>. Each
 element of this list should be a numeric vector with two elements:</p><ul><li><p><code>seed</code> (<code>numeric</code>)<br> The seed to be used for this element - can be <code>NA</code>.</p></li>
 <li><p><code>percentage</code> (<code>proportion</code>)<br> Percentage of elements to be replaced with <code>NA</code>.
@@ -125,18 +113,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>cached</dt>
+<dt id="arg-cached">cached<a class="anchor" aria-label="anchor" href="#arg-cached"></a></dt>
 <dd><p>boolean whether the cached ADTTE data <code>cadtte</code> should be returned or new data
 should be generated. If set to <code>TRUE</code> then the other arguments to <code>radtte</code> will be ignored.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -171,7 +155,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   TRT01SDTM &lt;dttm&gt;, TRT01EDTM &lt;dttm&gt;, TRT02SDTM &lt;dttm&gt;, TRT02EDTM &lt;dttm&gt;, …</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -180,9 +164,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/radvs.html b/latest-tag/reference/radvs.html
index b6156a82..62fde45f 100644
--- a/latest-tag/reference/radvs.html
+++ b/latest-tag/reference/radvs.html
@@ -1,20 +1,17 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Vital Signs Analysis Dataset (ADVS) — radvs • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Vital Signs Analysis Dataset (ADVS) — radvs"><meta name="description" content="
 Function for generating a random Vital Signs Analysis Dataset for a given
-Subject-Level Analysis Dataset."><title>Vital Signs Analysis Dataset (ADVS) — radvs • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Vital Signs Analysis Dataset (ADVS) — radvs"><meta property="og:description" content="
+Subject-Level Analysis Dataset."><meta property="og:description" content="
 Function for generating a random Vital Signs Analysis Dataset for a given
-Subject-Level Analysis Dataset."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+Subject-Level Analysis Dataset."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -22,52 +19,41 @@
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     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
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+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
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+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
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-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
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-  <a class="nav-link" href="../news/index.html">Changelog</a>
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 <!-- start dropdown for versions --> <li class="nav-item dropdown">
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+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
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+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Vital Signs Analysis Dataset (ADVS)</h1>
-      
+
+      <h1>Vital Signs Analysis Dataset (ADVS)</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/radvs.R" class="external-link"><code>R/radvs.R</code></a></small>
       <div class="d-none name"><code>radvs.Rd</code></div>
     </div>
 
@@ -98,43 +84,45 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>adsl</dt>
+
+
+<dl><dt id="arg-adsl">adsl<a class="anchor" aria-label="anchor" href="#arg-adsl"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Subject-Level Analysis Dataset (ADSL).</p></dd>
 
 
-<dt>param</dt>
+<dt id="arg-param">param<a class="anchor" aria-label="anchor" href="#arg-param"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter values.</p></dd>
 
 
-<dt>paramcd</dt>
+<dt id="arg-paramcd">paramcd<a class="anchor" aria-label="anchor" href="#arg-paramcd"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter code values.</p></dd>
 
 
-<dt>paramu</dt>
+<dt id="arg-paramu">paramu<a class="anchor" aria-label="anchor" href="#arg-paramu"></a></dt>
 <dd><p>(<code>character vector</code>)<br> Parameter unit values.</p></dd>
 
 
-<dt>visit_format</dt>
+<dt id="arg-visit-format">visit_format<a class="anchor" aria-label="anchor" href="#arg-visit-format"></a></dt>
 <dd><p>(<code>character</code>)<br> Type of visit. Options are "WEEK" and "CYCLE".</p></dd>
 
 
-<dt>n_assessments</dt>
+<dt id="arg-n-assessments">n_assessments<a class="anchor" aria-label="anchor" href="#arg-n-assessments"></a></dt>
 <dd><p>(<code>integer</code>)<br> Number of weeks or cycles.</p></dd>
 
 
-<dt>n_days</dt>
+<dt id="arg-n-days">n_days<a class="anchor" aria-label="anchor" href="#arg-n-days"></a></dt>
 <dd><p>(<code>integer</code>)<br> Number of days in each cycle (only used if <code>visit_format</code> is "CYCLE").</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 
-<dt>na_percentage</dt>
+<dt id="arg-na-percentage">na_percentage<a class="anchor" aria-label="anchor" href="#arg-na-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Default percentage of values to be replaced by <code>NA</code>.</p></dd>
 
 
-<dt>na_vars</dt>
+<dt id="arg-na-vars">na_vars<a class="anchor" aria-label="anchor" href="#arg-na-vars"></a></dt>
 <dd><p>(<code>list</code>)<br> A named list where the name of each element is a column name of <code>ds</code>. Each
 element of this list should be a numeric vector with two elements:</p><ul><li><p><code>seed</code> (<code>numeric</code>)<br> The seed to be used for this element - can be <code>NA</code>.</p></li>
 <li><p><code>percentage</code> (<code>proportion</code>)<br> Percentage of elements to be replaced with <code>NA</code>.
@@ -142,18 +130,14 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 </ul></dd>
 
 
-<dt>cached</dt>
+<dt id="arg-cached">cached<a class="anchor" aria-label="anchor" href="#arg-cached"></a></dt>
 <dd><p>boolean whether the cached ADVS data <code>cadvs</code> should be returned or new data
 should be generated. If set to <code>TRUE</code> then the other arguments to <code>radvs</code> will be ignored.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>data.frame</code></p>
-
-
+    <p><code>data.frame</code></p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -216,7 +200,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   TRT01SDTM &lt;dttm&gt;, TRT01EDTM &lt;dttm&gt;, TRT02SDTM &lt;dttm&gt;, TRT02EDTM &lt;dttm&gt;, …</span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -225,9 +209,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/random.cdisc.data-package.html b/latest-tag/reference/random.cdisc.data-package.html
index 3ab64f1a..9bc1fd43 100644
--- a/latest-tag/reference/random.cdisc.data-package.html
+++ b/latest-tag/reference/random.cdisc.data-package.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Package to create random SDTM and ADAM datasets."><title>random.cdisc.data Package — random.cdisc.data-package • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="random.cdisc.data Package — random.cdisc.data-package"><meta property="og:description" content="Package to create random SDTM and ADAM datasets."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
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     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
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+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
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   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1><code>random.cdisc.data</code> Package</h1>
-      
+
+      <h1><code>random.cdisc.data</code> Package</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/package.R" class="external-link"><code>R/package.R</code></a></small>
       <div class="d-none name"><code>random.cdisc.data-package.Rd</code></div>
     </div>
 
@@ -72,6 +58,13 @@
     </div>
 
 
+    <div class="section level2">
+    <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
+    <div class="dont-index"><p>Useful links:</p><ul><li><p><a href="https://insightsengineering.github.io/random.cdisc.data/">https://insightsengineering.github.io/random.cdisc.data/</a></p></li>
+<li><p><a href="https://github.com/insightsengineering/random.cdisc.data/" class="external-link">https://github.com/insightsengineering/random.cdisc.data/</a></p></li>
+<li><p>Report bugs at <a href="https://github.com/insightsengineering/random.cdisc.data/issues" class="external-link">https://github.com/insightsengineering/random.cdisc.data/issues</a></p></li>
+</ul></div>
+    </div>
     <div class="section level2">
     <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a></h2>
     <p><strong>Maintainer</strong>: Joe Zhu <a href="mailto:joe.zhu@roche.com">joe.zhu@roche.com</a></p>
@@ -85,7 +78,8 @@ <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a><
 </ul><p>Other contributors:</p><ul><li><p>F. Hoffmann-La Roche AG [copyright holder, funder]</p></li>
 </ul></div>
 
-  </main></div>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
 
 
     <footer><div class="nest">
@@ -93,9 +87,9 @@ <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a><
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
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+
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diff --git a/latest-tag/reference/random.cdisc.data.html b/latest-tag/reference/random.cdisc.data.html
new file mode 100644
index 00000000..3c47cdfa
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@@ -0,0 +1,8 @@
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+  <head>
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+
diff --git a/latest-tag/reference/rcd_var_relabel.html b/latest-tag/reference/rcd_var_relabel.html
new file mode 100644
index 00000000..a6d516b5
--- /dev/null
+++ b/latest-tag/reference/rcd_var_relabel.html
@@ -0,0 +1,100 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Primary Keys: Labels — rcd_var_relabel • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Primary Keys: Labels — rcd_var_relabel"><meta name="description" content="Shallow copy of formatters::var_relabel(). Used mainly internally to
+relabel a subset of variables in a data set."><meta property="og:description" content="Shallow copy of formatters::var_relabel(). Used mainly internally to
+relabel a subset of variables in a data set."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+    <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
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+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
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+    <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
+
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
+
+    <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
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+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
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+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
+      </ul></div>
+
+
+  </div>
+</nav><div class="container template-reference-topic">
+<div class="row">
+  <main id="main" class="col-md-9"><div class="page-header">
+
+      <h1>Primary Keys: Labels</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
+      <div class="d-none name"><code>rcd_var_relabel.Rd</code></div>
+    </div>
+
+    <div class="ref-description section level2">
+    <p>Shallow copy of <code><a href="https://insightsengineering.github.io/formatters/latest-tag/reference/var_relabel.html" class="external-link">formatters::var_relabel()</a></code>. Used mainly internally to
+relabel a subset of variables in a data set.</p>
+    </div>
+
+    <div class="section level2">
+    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">rcd_var_relabel</span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div class="section level2">
+    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
+<dd><p>(<code>data.frame</code>)<br> Data frame containing variables to which labels are applied.</p></dd>
+
+
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
+<dd><p>(<code>named character</code>)<br> Name-Value pairs, where name corresponds to a variable
+name in <code>x</code> and the value to the new variable label.</p></dd>
+
+</dl></div>
+    <div class="section level2">
+    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
+    <p>x (<code>data.frame</code>)<br> Data frame with labels applied.</p>
+    </div>
+
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
+    </nav></aside></div>
+
+
+    <footer><div class="nest">
+  <p>random.cdisc.data is a part of the <strong>NEST</strong> and <a href="https://pharmaverse.org/" class="external-link"><strong>pharmaverse</strong></a>.</p>
+</div>
+<script type="text/javascript" src="../analytics.js"></script></footer></div>
+
+
+
+
+
+  </body></html>
+
diff --git a/latest-tag/reference/rel_var.html b/latest-tag/reference/rel_var.html
index 78b8b52e..c1ecb44a 100644
--- a/latest-tag/reference/rel_var.html
+++ b/latest-tag/reference/rel_var.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
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-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Related Variables: Assign — rel_var • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Related Variables: Assign — rel_var"><meta name="description" content="Assign values to a related variable within a domain."><meta property="og:description" content="Assign values to a related variable within a domain."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
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-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
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+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
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-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
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+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
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+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
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+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
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+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Related Variables: Assign</h1>
-      
+
+      <h1>Related Variables: Assign</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
       <div class="d-none name"><code>rel_var.Rd</code></div>
     </div>
 
@@ -78,28 +64,28 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>df</dt>
+
+
+<dl><dt id="arg-df">df<a class="anchor" aria-label="anchor" href="#arg-df"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Data frame containing the related variables.</p></dd>
 
 
-<dt>var_name</dt>
+<dt id="arg-var-name">var_name<a class="anchor" aria-label="anchor" href="#arg-var-name"></a></dt>
 <dd><p>(<code>character</code>)<br> Name of variable related to <code>rel_var</code> to add to <code>df</code>.</p></dd>
 
 
-<dt>related_var</dt>
+<dt id="arg-related-var">related_var<a class="anchor" aria-label="anchor" href="#arg-related-var"></a></dt>
 <dd><p>(<code>character</code>)<br> Name of variable within <code>df</code> with values to which values
 of <code>var_name</code> must relate.</p></dd>
 
 
-<dt>var_values</dt>
+<dt id="arg-var-values">var_values<a class="anchor" aria-label="anchor" href="#arg-var-values"></a></dt>
 <dd><p>(<code>any</code>)<br> Vector of values related to values of <code>related_var</code>.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p><code>df</code> with added factor variable <code>var_name</code> containing <code>var_values</code> corresponding to <code>related_var</code>.</p>
+    <p><code>df</code> with added factor variable <code>var_name</code> containing <code>var_values</code> corresponding to <code>related_var</code>.</p>
     </div>
 
     <div class="section level2">
@@ -158,7 +144,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">9</span>     9 Level C C      </span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -167,9 +153,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/relvar_init.html b/latest-tag/reference/relvar_init.html
index ba8c1a90..f1351348 100644
--- a/latest-tag/reference/relvar_init.html
+++ b/latest-tag/reference/relvar_init.html
@@ -1,18 +1,15 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content='Verify and initialize related variable values.
-For example, relvar_init("Alanine Aminotransferase Measurement", "ALT").'><title>Related Variables: Initialize — relvar_init • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Related Variables: Initialize — relvar_init"><meta property="og:description" content='Verify and initialize related variable values.
-For example, relvar_init("Alanine Aminotransferase Measurement", "ALT").'><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Related Variables: Initialize — relvar_init • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Related Variables: Initialize — relvar_init"><meta name="description" content='Verify and initialize related variable values.
+For example, relvar_init("Alanine Aminotransferase Measurement", "ALT").'><meta property="og:description" content='Verify and initialize related variable values.
+For example, relvar_init("Alanine Aminotransferase Measurement", "ALT").'><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -20,52 +17,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
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-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
           aria-expanded="false" aria-haspopup="true"
           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Related Variables: Initialize</h1>
-      
+
+      <h1>Related Variables: Initialize</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
       <div class="d-none name"><code>relvar_init.Rd</code></div>
     </div>
 
@@ -81,22 +67,22 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>relvar1</dt>
+
+
+<dl><dt id="arg-relvar-">relvar1<a class="anchor" aria-label="anchor" href="#arg-relvar-"></a></dt>
 <dd><p>(<code>list</code> of <code>character</code>)<br> List of n elements.</p></dd>
 
 
-<dt>relvar2</dt>
+<dt id="arg-relvar-">relvar2<a class="anchor" aria-label="anchor" href="#arg-relvar-"></a></dt>
 <dd><p>(<code>list</code> of <code>character</code>)<br> List of n elements.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A vector of n elements.</p>
+    <p>A vector of n elements.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -105,9 +91,9 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/replace_na.html b/latest-tag/reference/replace_na.html
index 2642e1ba..174001c9 100644
--- a/latest-tag/reference/replace_na.html
+++ b/latest-tag/reference/replace_na.html
@@ -1,18 +1,15 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
-Randomized replacement of values by NA."><title>Replace Values in a Vector by NA — replace_na • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Replace Values in a Vector by NA — replace_na"><meta property="og:description" content="
-Randomized replacement of values by NA."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Replace Values in a Vector by NA — replace_na • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Replace Values in a Vector by NA — replace_na"><meta name="description" content="
+Randomized replacement of values by NA."><meta property="og:description" content="
+Randomized replacement of values by NA."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -20,52 +17,41 @@
     </button>
 
     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
-</li>
-<li class="nav-item">
-  <a class="nav-link" href="../news/index.html">Changelog</a>
-</li>
 <!-- start dropdown for versions --> <li class="nav-item dropdown">
         <a href="#" class="nav-link dropdown-toggle"
           data-bs-toggle="dropdown" role="button"
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 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
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-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Replace Values in a Vector by NA</h1>
-      
+
+      <h1>Replace Values in a Vector by NA</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
       <div class="d-none name"><code>replace_na.Rd</code></div>
     </div>
 
@@ -81,28 +67,28 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>v</dt>
+
+
+<dl><dt id="arg-v">v<a class="anchor" aria-label="anchor" href="#arg-v"></a></dt>
 <dd><p>(<code>any</code>)<br> Vector of any type.</p></dd>
 
 
-<dt>percentage</dt>
+<dt id="arg-percentage">percentage<a class="anchor" aria-label="anchor" href="#arg-percentage"></a></dt>
 <dd><p>(<code>proportion</code>)<br> Value between 0 and 1 defining
 how much of the vector shall be replaced by <code>NA</code>. This number
 is randomized by +/- 5% to have full randomization.</p></dd>
 
 
-<dt>seed</dt>
+<dt id="arg-seed">seed<a class="anchor" aria-label="anchor" href="#arg-seed"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Seed to use for reproducible random number generation.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>The input vector <code>v</code> where a certain number of values are replaced by <code>NA</code>.</p>
+    <p>The input vector <code>v</code> where a certain number of values are replaced by <code>NA</code>.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -111,9 +97,9 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/retain.html b/latest-tag/reference/retain.html
index 08fdd1e2..3a9c6afe 100644
--- a/latest-tag/reference/retain.html
+++ b/latest-tag/reference/retain.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Retain values within primary keys."><title>Primary Keys: Retain Values — retain • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Primary Keys: Retain Values — retain"><meta property="og:description" content="Retain values within primary keys."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-      <img src="" class="logo" alt=""><h1>Primary Keys: Retain Values</h1>
-      
+
+      <h1>Primary Keys: Retain Values</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
       <div class="d-none name"><code>retain.Rd</code></div>
     </div>
 
@@ -78,30 +64,30 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>df</dt>
+
+
+<dl><dt id="arg-df">df<a class="anchor" aria-label="anchor" href="#arg-df"></a></dt>
 <dd><p>(<code>data.frame</code>)<br> Data frame in which to apply the retain.</p></dd>
 
 
-<dt>value_var</dt>
+<dt id="arg-value-var">value_var<a class="anchor" aria-label="anchor" href="#arg-value-var"></a></dt>
 <dd><p>(<code>any</code>)<br> Variable in <code>df</code> containing the value to be retained.</p></dd>
 
 
-<dt>event</dt>
+<dt id="arg-event">event<a class="anchor" aria-label="anchor" href="#arg-event"></a></dt>
 <dd><p>(<code>expression</code>)<br> Expression returning a logical value to trigger the retain.</p></dd>
 
 
-<dt>outside</dt>
+<dt id="arg-outside">outside<a class="anchor" aria-label="anchor" href="#arg-outside"></a></dt>
 <dd><p>(<code>any</code>)<br> Additional value to retain. Defaults to <code>NA</code>.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A vector of values where expression is true.</p>
+    <p>A vector of values where expression is true.</p>
     </div>
 
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -110,9 +96,9 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/rtexp.html b/latest-tag/reference/rtexp.html
index d3e33998..b8d6cb4c 100644
--- a/latest-tag/reference/rtexp.html
+++ b/latest-tag/reference/rtexp.html
@@ -1,26 +1,23 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Truncated Exponential Distribution — rtexp • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Truncated Exponential Distribution — rtexp"><meta name="description" content="
 This generates random numbers from a truncated Exponential distribution,
 i.e. from X | X &amp;gt; l or X | X &amp;lt; r when X ~ Exp(rate). The advantage here is that
 we guarantee to return exactly n numbers and without using a loop internally.
 This can be derived from the quantile functions of the left- and right-truncated
-Exponential distributions."><title>Truncated Exponential Distribution — rtexp • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Truncated Exponential Distribution — rtexp"><meta property="og:description" content="
+Exponential distributions."><meta property="og:description" content="
 This generates random numbers from a truncated Exponential distribution,
 i.e. from X | X &amp;gt; l or X | X &amp;lt; r when X ~ Exp(rate). The advantage here is that
 we guarantee to return exactly n numbers and without using a loop internally.
 This can be derived from the quantile functions of the left- and right-truncated
-Exponential distributions."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+Exponential distributions."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
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-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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           id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
-<li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-reports">
-    <a class="dropdown-item" href="../coverage-report/">Coverage report</a>
-    <a class="dropdown-item" href="../unit-test-report/">Unit test report</a>
-  </div>
-</li>
-      </ul><form class="form-inline my-2 my-lg-0" role="search">
-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
-
-      <ul class="navbar-nav"><li class="nav-item">
-  <a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/">
-    <span class="fa fa-github"></span>
-     
-  </a>
-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Truncated Exponential Distribution</h1>
-      
+
+      <h1>Truncated Exponential Distribution</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
       <div class="d-none name"><code>rtexp.Rd</code></div>
     </div>
 
@@ -93,27 +79,27 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>n</dt>
+
+
+<dl><dt id="arg-n">n<a class="anchor" aria-label="anchor" href="#arg-n"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Number of random numbers.</p></dd>
 
 
-<dt>rate</dt>
+<dt id="arg-rate">rate<a class="anchor" aria-label="anchor" href="#arg-rate"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Non-negative rate.</p></dd>
 
 
-<dt>l</dt>
+<dt id="arg-l">l<a class="anchor" aria-label="anchor" href="#arg-l"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Positive left-hand truncation parameter.</p></dd>
 
 
-<dt>r</dt>
+<dt id="arg-r">r<a class="anchor" aria-label="anchor" href="#arg-r"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Positive right-hand truncation parameter.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>The random numbers. If neither <code>l</code> nor <code>r</code> are provided then the usual Exponential
+    <p>The random numbers. If neither <code>l</code> nor <code>r</code> are provided then the usual Exponential
 distribution is used.</p>
     </div>
 
@@ -133,7 +119,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="rtexp-3.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -142,9 +128,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/rtpois.html b/latest-tag/reference/rtpois.html
index ad2df3b6..dd0c327d 100644
--- a/latest-tag/reference/rtpois.html
+++ b/latest-tag/reference/rtpois.html
@@ -1,26 +1,23 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Zero-Truncated Poisson Distribution — rtpois • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Zero-Truncated Poisson Distribution — rtpois"><meta name="description" content="
 This generates random numbers from a zero-truncated Poisson distribution,
 i.e. from X | X &amp;gt; 0 when X ~ Poisson(lambda). The advantage here is that
 we guarantee to return exactly n numbers and without using a loop internally.
 This solution was provided in a post by
-Peter Dalgaard."><title>Zero-Truncated Poisson Distribution — rtpois • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Zero-Truncated Poisson Distribution — rtpois"><meta property="og:description" content="
+Peter Dalgaard."><meta property="og:description" content="
 This generates random numbers from a zero-truncated Poisson distribution,
 i.e. from X | X &amp;gt; 0 when X ~ Poisson(lambda). The advantage here is that
 we guarantee to return exactly n numbers and without using a loop internally.
 This solution was provided in a post by
-Peter Dalgaard."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
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-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+Peter Dalgaard."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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@@ -28,52 +25,41 @@
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     <div id="navbar" class="collapse navbar-collapse ms-3">
-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
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+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
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 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
 <!-- end dropdown for versions -->
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-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
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-    <span class="fa fa-github"></span>
-     
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-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Zero-Truncated Poisson Distribution</h1>
-      
+
+      <h1>Zero-Truncated Poisson Distribution</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
       <div class="d-none name"><code>rtpois.Rd</code></div>
     </div>
 
@@ -93,19 +79,19 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>n</dt>
+
+
+<dl><dt id="arg-n">n<a class="anchor" aria-label="anchor" href="#arg-n"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Number of random numbers.</p></dd>
 
 
-<dt>lambda</dt>
+<dt id="arg-lambda">lambda<a class="anchor" aria-label="anchor" href="#arg-lambda"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Non-negative mean(s).</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>The random numbers.</p>
+    <p>The random numbers.</p>
     </div>
 
     <div class="section level2">
@@ -120,7 +106,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-plt img"><img src="rtpois-2.png" alt="" width="700" height="433"></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -129,9 +115,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/sample_fct.html b/latest-tag/reference/sample_fct.html
index 09bba6c1..8545669f 100644
--- a/latest-tag/reference/sample_fct.html
+++ b/latest-tag/reference/sample_fct.html
@@ -1,16 +1,13 @@
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+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
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 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Create a Factor with Random Elements of x</h1>
-      
+
+      <h1>Create a Factor with Random Elements of x</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
       <div class="d-none name"><code>sample_fct.Rd</code></div>
     </div>
 
@@ -78,24 +64,24 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
+
+
+<dl><dt id="arg-x">x<a class="anchor" aria-label="anchor" href="#arg-x"></a></dt>
 <dd><p>(<code>character vector</code> or <code>factor</code>)<br> If character vector then it is also used
 as levels of the returned factor. If factor then the levels are used as the new levels.</p></dd>
 
 
-<dt>N</dt>
+<dt id="arg-n">N<a class="anchor" aria-label="anchor" href="#arg-n"></a></dt>
 <dd><p>(<code>numeric</code>)<br> Number of items to choose.</p></dd>
 
 
-<dt>...</dt>
+<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Additional arguments to be passed to <code>sample</code>.</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A factor of length <code>N</code>.</p>
+    <p>A factor of length <code>N</code>.</p>
     </div>
 
     <div class="section level2">
@@ -109,7 +95,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> Levels: setosa versicolor virginica</span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -118,9 +104,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/reference/var_relabel.html b/latest-tag/reference/var_relabel.html
deleted file mode 100644
index a1c97c1c..00000000
--- a/latest-tag/reference/var_relabel.html
+++ /dev/null
@@ -1,140 +0,0 @@
-<!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Relabel a subset of variables in a data set."><title>Primary Keys: Labels — var_relabel • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Primary Keys: Labels — var_relabel"><meta property="og:description" content="Relabel a subset of variables in a data set."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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-      <img src="" class="logo" alt=""><h1>Primary Keys: Labels</h1>
-      
-      <div class="d-none name"><code>var_relabel.Rd</code></div>
-    </div>
-
-    <div class="ref-description section level2">
-    <p>Relabel a subset of variables in a data set.</p>
-    </div>
-
-    <div class="section level2">
-    <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">var_relabel</span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
-    </div>
-
-    <div class="section level2">
-    <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>x</dt>
-<dd><p>(<code>data.frame</code>)<br> Data frame containing variables to which labels are applied.</p></dd>
-
-
-<dt>...</dt>
-<dd><p>(<code>named character</code>)<br> Name-Value pairs, where name corresponds to a variable
-name in <code>x</code> and the value to the new variable label.</p></dd>
-
-</dl></div>
-    <div class="section level2">
-    <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>x (<code>data.frame</code>)<br> Data frame with labels applied.</p>
-    </div>
-
-    <div class="section level2">
-    <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">adsl</span> <span class="op">&lt;-</span> <span class="fu"><a href="radsl.html">radsl</a></span><span class="op">(</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="fu">var_relabel</span><span class="op">(</span><span class="va">adsl</span>,</span></span>
-<span class="r-in"><span>  STUDYID <span class="op">=</span> <span class="st">"Study Identifier"</span>,</span></span>
-<span class="r-in"><span>  USUBJID <span class="op">=</span> <span class="st">"Unique Subject Identifier"</span></span></span>
-<span class="r-in"><span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># A tibble: 400 × 55</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>    <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>      <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;chr&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;int&gt;</span> <span style="color: #949494; font-style: italic;">&lt;fct&gt;</span> <span style="color: #949494; font-style: italic;">&lt;fct&gt;</span> <span style="color: #949494; font-style: italic;">&lt;fct&gt;</span> <span style="color: #949494; font-style: italic;">&lt;fct&gt;</span>  <span style="color: #949494; font-style: italic;">&lt;fct&gt;</span>   <span style="color: #949494; font-style: italic;">&lt;fct&gt;</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 1</span> AB12345 AB12345-C… id-199 CHN-11    33 YEARS F     BLAC… NOT H… CHN     N    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 2</span> AB12345 AB12345-C… id-146 CHN-14    27 YEARS M     BLAC… NOT H… CHN     N    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 3</span> AB12345 AB12345-C… id-179 CHN-12    40 YEARS M     UNKN… NOT H… CHN     N    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 4</span> AB12345 AB12345-U… id-42  USA-1     29 YEARS F     ASIAN NOT H… USA     N    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 5</span> AB12345 AB12345-C… id-87  CAN-1     30 YEARS M     BLAC… NOT H… CAN     N    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 6</span> AB12345 AB12345-J… id-353 JPN-11    33 YEARS M     ASIAN NOT H… JPN     N    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 7</span> AB12345 AB12345-B… id-315 BRA-12    36 YEARS M     ASIAN NOT H… BRA     Y    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 8</span> AB12345 AB12345-U… id-299 USA-11    56 YEARS F     AMER… NOT H… USA     N    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;"> 9</span> AB12345 AB12345-J… id-80  JPN-12    29 YEARS F     ASIAN NOT H… JPN     N    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #BCBCBC;">10</span> AB12345 AB12345-C… id-131 CHN-6     36 YEARS F     BLAC… NOT H… CHN     N    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 390 more rows</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;"># ℹ 44 more variables: INVID &lt;chr&gt;, INVNAM &lt;chr&gt;, ARM &lt;fct&gt;, ARMCD &lt;fct&gt;,</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   ACTARM &lt;fct&gt;, ACTARMCD &lt;fct&gt;, TRT01P &lt;fct&gt;, TRT01A &lt;fct&gt;, TRT02P &lt;fct&gt;,</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   TRT02A &lt;fct&gt;, REGION1 &lt;fct&gt;, STRATA1 &lt;fct&gt;, STRATA2 &lt;fct&gt;, BMRKR1 &lt;dbl&gt;,</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   BMRKR2 &lt;fct&gt;, ITTFL &lt;fct&gt;, SAFFL &lt;fct&gt;, BMEASIFL &lt;fct&gt;, BEP01FL &lt;fct&gt;,</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   AEWITHFL &lt;fct&gt;, RANDDT &lt;date&gt;, TRTSDTM &lt;dttm&gt;, TRTEDTM &lt;dttm&gt;,</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> <span style="color: #949494;">#   TRT01SDTM &lt;dttm&gt;, TRT01EDTM &lt;dttm&gt;, TRT02SDTM &lt;dttm&gt;, TRT02EDTM &lt;dttm&gt;, …</span></span>
-</code></pre></div>
-    </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
-    </nav></aside></div>
-
-
-    <footer><div class="nest">
-  <p>random.cdisc.data is a part of the <strong>NEST</strong> and <a href="https://pharmaverse.org/" class="external-link"><strong>pharmaverse</strong></a>.</p>
-</div>
-<script type="text/javascript" src="../analytics.js"></script></footer></div>
-
-  
-
-  
-
-  </body></html>
-
diff --git a/latest-tag/reference/visit_schedule.html b/latest-tag/reference/visit_schedule.html
index 035b583c..a0d429aa 100644
--- a/latest-tag/reference/visit_schedule.html
+++ b/latest-tag/reference/visit_schedule.html
@@ -1,16 +1,13 @@
 <!DOCTYPE html>
-<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><meta name="description" content="Create a visit schedule as a factor."><title>Create Visit Schedule — visit_schedule • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- bootstrap-toc --><script src="https://cdn.jsdelivr.net/gh/afeld/bootstrap-toc@v1.0.1/dist/bootstrap-toc.min.js" integrity="sha256-4veVQbu7//Lk5TSmc7YV48MxtMy98e26cf5MrgZYnwo=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- search --><script src="https://cdnjs.cloudflare.com/ajax/libs/fuse.js/6.4.6/fuse.js" integrity="sha512-zv6Ywkjyktsohkbp9bb45V6tEMoWhzFzXis+LrMehmJZZSys19Yxf1dopHx7WzIKxr5tK2dVcYmaCk2uqdjF4A==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/autocomplete.js/0.38.0/autocomplete.jquery.min.js" integrity="sha512-GU9ayf+66Xx2TmpxqJpliWbT5PiGYxpaG8rfnBEk1LL8l1KGkRShhngwdXK1UgqhAzWpZHSiYPc09/NwDQIGyg==" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mark.js/8.11.1/mark.min.js" integrity="sha512-5CYOlHXGh6QpOFA/TeTylKLWfB3ftPsde7AnmhuitiTX4K5SqCLBeKro6sPS8ilsz1Q4NRx3v8Ko2IBiszzdww==" crossorigin="anonymous"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Create Visit Schedule — visit_schedule"><meta property="og:description" content="Create a visit schedule as a factor."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
-<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
-<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]--><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><title>Create Visit Schedule — visit_schedule • random.cdisc.data</title><script src="../deps/jquery-3.6.0/jquery-3.6.0.min.js"></script><meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"><link href="../deps/bootstrap-5.3.1/bootstrap.min.css" rel="stylesheet"><script src="../deps/bootstrap-5.3.1/bootstrap.bundle.min.js"></script><link href="../deps/font-awesome-6.4.2/css/all.min.css" rel="stylesheet"><link href="../deps/font-awesome-6.4.2/css/v4-shims.min.css" rel="stylesheet"><script src="../deps/headroom-0.11.0/headroom.min.js"></script><script src="../deps/headroom-0.11.0/jQuery.headroom.min.js"></script><script src="../deps/bootstrap-toc-1.0.1/bootstrap-toc.min.js"></script><script src="../deps/clipboard.js-2.0.11/clipboard.min.js"></script><script src="../deps/search-1.0.0/autocomplete.jquery.min.js"></script><script src="../deps/search-1.0.0/fuse.min.js"></script><script src="../deps/search-1.0.0/mark.min.js"></script><!-- pkgdown --><script src="../pkgdown.js"></script><meta property="og:title" content="Create Visit Schedule — visit_schedule"><meta name="description" content="Create a visit schedule as a factor."><meta property="og:description" content="Create a visit schedule as a factor."><link rel="stylesheet" href="../consent.css"><script src="../consent.js" type="text/javascript" charset="utf-8"></script></head><body>
     <a href="#main" class="visually-hidden-focusable">Skip to contents</a>
-    
 
-    <nav class="navbar fixed-top navbar-light navbar-expand-lg bg-light"><div class="container">
-    
+
+    <nav class="navbar navbar-expand-lg fixed-top bg-light" data-bs-theme="light" aria-label="Site navigation"><div class="container">
+
     <a class="navbar-brand me-2" href="../index.html">random.cdisc.data</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.15</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="">0.3.16</small>
 
     <div style="width: 140px; margin-left: 0.5rem;"> <small class="nav-text text-muted me-auto">part of</small> <img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/nest.png?raw=true" alt="NEST" style="height: 30px;"><a href="https://pharmaverse.org/" class="external-link"><img src="https://github.com/insightsengineering/hex-stickers/blob/main/PNG/pharmaverse.png?raw=true" alt="pharmaverse" style="height: 28px;"></a> </div>
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -18,52 +15,41 @@
     </button>
 
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-      <ul class="navbar-nav me-auto"><li class="active nav-item">
-  <a class="nav-link" href="../reference/index.html">Reference</a>
-</li>
+      <ul class="navbar-nav me-auto"><li class="active nav-item"><a class="nav-link" href="../reference/index.html">Reference</a></li>
+<li class="nav-item dropdown">
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-articles" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Articles</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-articles"><li><a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a></li>
+  </ul></li>
+<li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-articles">Articles</a>
-  <div class="dropdown-menu" aria-labelledby="dropdown-articles">
-    <a class="dropdown-item" href="../articles/rebuild_cached_data.html">Rebuilding Cached Random CDISC Data</a>
-  </div>
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-  <a class="nav-link" href="../news/index.html">Changelog</a>
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 <!-- start dropdown for versions --> <li class="nav-item dropdown">
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+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
 <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
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-  <a href="#" class="nav-link dropdown-toggle" data-bs-toggle="dropdown" role="button" aria-expanded="false" aria-haspopup="true" id="dropdown-reports">Reports</a>
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-        <input type="search" class="form-control me-sm-2" aria-label="Toggle navigation" name="search-input" data-search-index="../search.json" id="search-input" placeholder="Search for" autocomplete="off"></form>
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-    <span class="fa fa-github"></span>
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-</li>
+  <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
+  <ul class="dropdown-menu" aria-labelledby="dropdown-reports"><li><a class="dropdown-item" href="../coverage-report/">Coverage report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report/">Unit test report</a></li>
+    <li><a class="dropdown-item" href="../unit-test-report-non-cran/">Non-CRAN unit test report</a></li>
+  </ul></li>
+      </ul><ul class="navbar-nav"><li class="nav-item"><form class="form-inline" role="search">
+ <input class="form-control" type="search" name="search-input" id="search-input" autocomplete="off" aria-label="Search site" placeholder="Search for" data-search-index="../search.json"></form></li>
+<li class="nav-item"><a class="external-link nav-link" href="https://github.com/insightsengineering/random.cdisc.data/"><span class="fa fa-github"></span></a></li>
       </ul></div>
 
-    
+
   </div>
 </nav><div class="container template-reference-topic">
 <div class="row">
   <main id="main" class="col-md-9"><div class="page-header">
-      <img src="" class="logo" alt=""><h1>Create Visit Schedule</h1>
-      
+
+      <h1>Create Visit Schedule</h1>
+      <small class="dont-index">Source: <a href="https://github.com/insightsengineering/random.cdisc.data/blob/v0.3.16/R/utils.R" class="external-link"><code>R/utils.R</code></a></small>
       <div class="d-none name"><code>visit_schedule.Rd</code></div>
     </div>
 
@@ -78,23 +64,23 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 
     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>
-    <dl><dt>visit_format</dt>
+
+
+<dl><dt id="arg-visit-format">visit_format<a class="anchor" aria-label="anchor" href="#arg-visit-format"></a></dt>
 <dd><p>(<code>character</code>)<br> Type of visit. Options are "WEEK" and "CYCLE".</p></dd>
 
 
-<dt>n_assessments</dt>
+<dt id="arg-n-assessments">n_assessments<a class="anchor" aria-label="anchor" href="#arg-n-assessments"></a></dt>
 <dd><p>(<code>integer</code>)<br> Number of weeks or cycles.</p></dd>
 
 
-<dt>n_days</dt>
+<dt id="arg-n-days">n_days<a class="anchor" aria-label="anchor" href="#arg-n-days"></a></dt>
 <dd><p>(<code>integer</code>)<br> Number of days in each cycle (only used if <code>visit_format</code> is "CYCLE").</p></dd>
 
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
-    
-
-<p>A factor of length <code>n_assessments</code>.</p>
+    <p>A factor of length <code>n_assessments</code>.</p>
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
@@ -107,7 +93,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="fu">visit_schedule</span><span class="op">(</span>visit_format <span class="op">=</span> <span class="st">"CyCLE"</span>, n_assessments <span class="op">=</span> <span class="fl">5L</span>, n_days <span class="op">=</span> <span class="fl">2L</span><span class="op">)</span></span></span>
 </code></pre></div>
     </div>
-  </main><aside class="col-md-3"><nav id="toc"><h2>On this page</h2>
+  </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
     </nav></aside></div>
 
 
@@ -116,9 +102,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 <script type="text/javascript" src="../analytics.js"></script></footer></div>
 
-  
 
-  
+
+
 
   </body></html>
 
diff --git a/latest-tag/search.json b/latest-tag/search.json
index f4b0058b..1ad9f882 100644
--- a/latest-tag/search.json
+++ b/latest-tag/search.json
@@ -1 +1 @@
-[{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"members, contributors, leaders pledge make participation community harassment-free experience everyone, regardless age, body size, visible invisible disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, caste, color, religion, sexual identity orientation. pledge act interact ways contribute open, welcoming, diverse, inclusive, healthy community.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes positive environment community include: Demonstrating empathy kindness toward people respectful differing opinions, viewpoints, experiences Giving gracefully accepting constructive feedback Accepting responsibility apologizing affected mistakes, learning experience Focusing best just us individuals, overall community Examples unacceptable behavior include: use sexualized language imagery, sexual attention advances kind Trolling, insulting derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical email address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"enforcement-responsibilities","dir":"","previous_headings":"","what":"Enforcement Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Community leaders responsible clarifying enforcing standards acceptable behavior take appropriate fair corrective action response behavior deem inappropriate, threatening, offensive, harmful. Community leaders right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, communicate reasons moderation decisions appropriate.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within community spaces, also applies individual officially representing community public spaces. Examples representing community include using official e-mail address, posting via official social media account, acting appointed representative online offline event.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported community leaders responsible enforcement [INSERT CONTACT METHOD]. complaints reviewed investigated promptly fairly. community leaders obligated respect privacy security reporter incident.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"enforcement-guidelines","dir":"","previous_headings":"","what":"Enforcement Guidelines","title":"Contributor Covenant Code of Conduct","text":"Community leaders follow Community Impact Guidelines determining consequences action deem violation Code Conduct:","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"id_1-correction","dir":"","previous_headings":"Enforcement Guidelines","what":"1. Correction","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Use inappropriate language behavior deemed unprofessional unwelcome community. Consequence: private, written warning community leaders, providing clarity around nature violation explanation behavior inappropriate. public apology may requested.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"id_2-warning","dir":"","previous_headings":"Enforcement Guidelines","what":"2. Warning","title":"Contributor Covenant Code of Conduct","text":"Community Impact: violation single incident series actions. Consequence: warning consequences continued behavior. interaction people involved, including unsolicited interaction enforcing Code Conduct, specified period time. includes avoiding interactions community spaces well external channels like social media. Violating terms may lead temporary permanent ban.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"id_3-temporary-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"3. Temporary Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: serious violation community standards, including sustained inappropriate behavior. Consequence: temporary ban sort interaction public communication community specified period time. public private interaction people involved, including unsolicited interaction enforcing Code Conduct, allowed period. Violating terms may lead permanent ban.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"id_4-permanent-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"4. Permanent Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Demonstrating pattern violation community standards, including sustained inappropriate behavior, harassment individual, aggression toward disparagement classes individuals. Consequence: permanent ban sort public interaction within community.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 2.1, available https://www.contributor-covenant.org/version/2/1/code_of_conduct.html. Community Impact Guidelines inspired Mozilla’s code conduct enforcement ladder. answers common questions code conduct, see FAQ https://www.contributor-covenant.org/faq. Translations available https://www.contributor-covenant.org/translations.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":null,"dir":"","previous_headings":"","what":"Contribution Guidelines","title":"Contribution Guidelines","text":"🙏 Thank taking time contribute! input deeply valued, whether issue, pull request, even feedback, regardless size, content scope.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"table-of-contents","dir":"","previous_headings":"","what":"Table of contents","title":"Contribution Guidelines","text":"👶 Getting started 📔 Code Conduct 🗃 License 📜 Issues 🚩 Pull requests 💻 Coding guidelines 🏆 Recognition model ❓ Questions","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"getting-started","dir":"","previous_headings":"","what":"Getting started","title":"Contribution Guidelines","text":"Please refer project documentation brief introduction. Please also see articles within project documentation additional information.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Contribution Guidelines","text":"Code Conduct governs project. Participants contributors expected follow rules outlined therein.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"license","dir":"","previous_headings":"","what":"License","title":"Contribution Guidelines","text":"contributions covered project’s license.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"issues","dir":"","previous_headings":"","what":"Issues","title":"Contribution Guidelines","text":"use GitHub track issues, feature requests, bugs. submitting new issue, please check issue already reported. issue already exists, please upvote existing issue 👍. new feature requests, please elaborate context benefit feature users, developers, relevant personas.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"github-flow","dir":"","previous_headings":"Pull requests","what":"GitHub Flow","title":"Contribution Guidelines","text":"repository uses GitHub Flow model collaboration. submit pull request: Create branch Please see branch naming convention . don’t write access repository, please fork . Make changes Make sure code passes checks imposed GitHub Actions well documented well tested unit tests sufficiently covering changes introduced Create pull request (PR) pull request description, please link relevant issue (), provide detailed description change, include assumptions. Address review comments, Post approval Merge PR write access. Otherwise, reviewer merge PR behalf. Pat back Congratulations! 🎉 now official contributor project! grateful contribution.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"branch-naming-convention","dir":"","previous_headings":"Pull requests","what":"Branch naming convention","title":"Contribution Guidelines","text":"Suppose changes related current issue current project; please name branch follows: <issue_id>_<short_description>. Please use underscore (_) delimiter word separation. example, 420_fix_ui_bug suitable branch name change resolving UI-related bug reported issue number 420 current project. change affects multiple repositories, please name branches follows: <issue_id>_<issue_repo>_<short description>. example, 69_awesomeproject_fix_spelling_error reference issue 69 reported project awesomeproject aims resolve one spelling errors multiple (likely related) repositories.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"monorepo-and-stageddependencies","dir":"","previous_headings":"Pull requests","what":"monorepo and staged.dependencies","title":"Contribution Guidelines","text":"Sometimes might need change upstream dependent package(s) able submit meaningful change. using staged.dependencies functionality simulate monorepo behavior. dependency configuration already specified project’s staged_dependencies.yaml file. need name feature branches appropriately. exception branch naming convention described . Please refer staged.dependencies package documentation details.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"coding-guidelines","dir":"","previous_headings":"","what":"Coding guidelines","title":"Contribution Guidelines","text":"repository follows unified processes standards adopted maintainers ensure software development carried consistently within teams cohesively across repositories.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"style-guide","dir":"","previous_headings":"Coding guidelines","what":"Style guide","title":"Contribution Guidelines","text":"repository follows standard tidyverse style guide uses lintr lint checks. Customized lint configurations available repository’s .lintr file.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"dependency-management","dir":"","previous_headings":"Coding guidelines","what":"Dependency management","title":"Contribution Guidelines","text":"Lightweight right weight. repository follows tinyverse recommedations limiting dependencies minimum.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"dependency-version-management","dir":"","previous_headings":"Coding guidelines","what":"Dependency version management","title":"Contribution Guidelines","text":"code compatible (!) historical versions given dependenct package, required specify minimal version DESCRIPTION file. particular: development version requires (imports) development version another package - required put abc (>= 1.2.3.9000).","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"r--package-versions","dir":"","previous_headings":"Coding guidelines > Recommended development environment & tools","what":"R & package versions","title":"Contribution Guidelines","text":"continuously test packages newest R version along recent dependencies CRAN BioConductor. recommend working environment also set way. can find details R version packages used R CMD check GitHub Action execution log - step prints R sessionInfo(). discover bugs older R versions older set dependencies, please create relevant bug reports.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"pre-commit","dir":"","previous_headings":"Coding guidelines > Recommended development environment & tools","what":"pre-commit","title":"Contribution Guidelines","text":"highly recommend use pre-commit tool combined R hooks pre-commit execute checks committing pushing changes. Pre-commit hooks already available repository’s .pre-commit-config.yaml file.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"recognition-model","dir":"","previous_headings":"","what":"Recognition model","title":"Contribution Guidelines","text":"mentioned previously, contributions deeply valued appreciated. contribution data available part repository insights, recognize significant contribution hence add contributor package authors list, following rules enforced: Minimum 5% lines code authored* (determined git blame query) top 5 contributors terms number commits lines added lines removed* *Excluding auto-generated code, including limited roxygen comments renv.lock files. package maintainer also reserves right adjust criteria recognize contributions.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"questions","dir":"","previous_headings":"","what":"Questions","title":"Contribution Guidelines","text":"questions regarding contribution guidelines, please contact package/repository maintainer.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/SECURITY.html","id":"reporting-security-issues","dir":"","previous_headings":"","what":"Reporting Security Issues","title":"Security Policy","text":"believe found security vulnerability repositories organization, please report us coordinated disclosure. Please report security vulnerabilities public GitHub issues, discussions, pull requests. Instead, please send email vulnerability.management[@]roche.com. Please include much information listed can help us better understand resolve issue: type issue (e.g., buffer overflow, SQL injection, cross-site scripting) Full paths source file(s) related manifestation issue location affected source code (tag/branch/commit direct URL) special configuration required reproduce issue Step--step instructions reproduce issue Proof--concept exploit code (possible) Impact issue, including attacker might exploit issue information help us triage report quickly.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/SECURITY.html","id":"data-security-standards-dss","dir":"","previous_headings":"","what":"Data Security Standards (DSS)","title":"Security Policy","text":"Please make sure reporting issues form bug, feature, pull request, sensitive information PII, PHI, PCI completely removed text attachments, including pictures videos.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/articles/rebuild_cached_data.html","id":"getting-started","dir":"Articles","previous_headings":"","what":"Getting Started","title":"Rebuilding Cached Random CDISC Data","text":"following script used create, compare save cached data data/ directory. Starting R 3.6.0 default kind --hood random-number generator changed. Now, order get results set.seed() match, first call function RNGkind(sample.kind = \"Rounding\"). throws expected warning:","code":"Warning: non-uniform 'Rounding' sampler used"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/articles/rebuild_cached_data.html","id":"code-maintenance","dir":"Articles","previous_headings":"","what":"Code Maintenance","title":"Rebuilding Cached Random CDISC Data","text":"Currently, random.cdisc.data data-generating function created modified, code chunk must run build new/updated cached dataset add data/ directory. dataset dependency another dataset updated dependent dataset also updated. manually specify datasets updated, edit data_to_update vector , entering desired dataset names.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/articles/rebuild_cached_data.html","id":"update-cached-data","dir":"Articles","previous_headings":"","what":"Update Cached Data","title":"Rebuilding Cached Random CDISC Data","text":"Note: Prior running following code chunk, please ensure reinstalled random.cdisc.data package completing dataset modifications.","code":"# Helper functions # flatten_list_of_deps <- function(updated_data, data_deps) {   # Get higher deps fnc   get_higher_deps <- function(cur_dep, data_deps) {     sapply(seq_along(data_deps), function(x) {       if (any(cur_dep %in% data_deps[[x]])) {         names(data_deps)[x]       }     })   }    # Get lower deps fnc   get_lower_deps <- function(cur_dep, data_deps) {     data_deps[sapply(cur_dep, function(x) which(x == names(data_deps)))]   }    # Sort data_deps   sort_data_deps <- function(upd_data, data_deps) {     iup <- upd_data     for (ud in upd_data) {       up <- unlist(get_lower_deps(ud, data_deps))       if (any(up %in% upd_data)) {         iup <- unique(unlist(c(up[up %in% upd_data], iup)))       }     }     iup   }    # Firstly, lets sort by dependencies the initial updated data   fin_up <- sort_data_deps(updated_data, data_deps)    # Extracting higher dependencies for each value   cnt <- 1   while (cnt <= length(fin_up)) {     cur_deps <- unlist(       get_higher_deps(fin_up[cnt], data_deps)     )     if (!is.null(cur_deps)) {       cur_deps <- sort_data_deps(cur_deps, data_deps)       fin_up <- unique(c(fin_up[seq_len(cnt)], cur_deps, fin_up[-seq_len(cnt)]))     }     cnt <- cnt + 1   }    fin_up } library(random.cdisc.data) library(diffdf) library(dplyr)  # Call function to match random number generation from previous R versions RNGkind(sample.kind = \"Rounding\")  # Datasets must be listed after all of their dependencies # e.g. adsl is a dependency for all other datasets so it is listed first.  pkg_dir <- dirname(getwd()) # Listing source files and extraction of datasets' names src_files <- list.files(paste0(pkg_dir, \"/R\")) data_nms <- src_files[grepl(\"^ra*\", src_files)] %>%   stringr::str_remove(pattern = \"^r\") %>%   stringr::str_remove(pattern = \".R$\") %>%   sort() # Exception handling data_nms <- data_nms[data_nms != \"adsaftte\"] # Unbuilt for now  # Construction of dependency tree based on formals data_deps <- sapply(   data_nms,   function(x) {     dat_args <- names(formals(paste0(\"r\", x)))     dat_args[dat_args %in% data_nms]   } )  git_call <- \"git diff origin/main --name-only\" updated_files <- tryCatch(   system(git_call, intern = TRUE),   error = function(e) e ) status_uf <- attr(updated_files, \"status\") if (is(updated_files, \"error\") || (!is.null(status_uf) && status_uf == 1)) {   message(\"Found following error in git call: \", git_call)   message(e)   message(     \"The calculation continues as default by recreating all datasets \",     \"and updating the cached data if any change is found.\"   )   updated_data <- data_nms } else {   updated_data <- updated_files[grepl(\"^R\\\\/\", updated_files)] %>%     stringr::str_remove(\"^R\\\\/\") %>%     stringr::str_remove(pattern = \"^r\") %>%     stringr::str_remove(pattern = \".R$\") }  if (length(updated_data) != 0) {   stopifnot(all(updated_data %in% names(data_deps)))    data_to_update <- flatten_list_of_deps(updated_data, data_deps)   default_args <- list(seed = 1, na_vars = list(), who_coding = TRUE, percent = 80, number = 2)    # Generate and save updated cached datasets   for (dat in data_to_update) {     # Match arguments with defaults     dat_args <- default_args[names(default_args) %in% names(formals(paste0(\"r\", dat)))]      # Get the data deps cache that is already there (if adsl returns list())     dat_deps <- lapply(data_deps[[dat]], function(x) get(paste0(\"c\", x)))      # Main call to creation function     cdataset <- do.call(paste0(\"r\", dat), c(dat_args, dat_deps))      # Preview differences     cat(\"\\nSaving cached data for dataset\", paste0(\"*\", dat, \"*\"), \"with the following changes found (diffdf):\\n\")     diff_test <- diffdf(get(paste0(\"c\", dat)), cdataset)     print(diff_test)      # Check if there is any actual change to the data     if (length(diff_test) > 0) { # If no difference -> list()       # Save new cached dataset       assign(paste0(\"c\", dat), cdataset)       fl_save <- paste0(dirname(getwd()), \"/data/c\", dat, \".RData\")       attr(cdataset, \"creation date\") <- lubridate::date() # This should NOT be updated if no changes in diffdf       save(list = paste0(\"c\", dat), file = fl_save, compress = \"xz\")       cat(\"Cached dataset updated for\", paste0(\"*\", dat, \"*\"), \"in\", paste0(\"data/\", basename(fl_save), \".\"), \"\\n\")     } else {       message(\"No update detected on the final data. No cached data was updated for *\", dat, \"*.\")     }   } } else {   message(\"No source files changed: no cached datasets currently require updates.\") }"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Pawel Rucki. Author. Nick Paszty. Author. Jana Stoilova. Author. Joe Zhu. Author, maintainer. Davide Garolini. Author. Emily de la Rua. Author. Christopher DiPietrantonio. Author. Adrian Waddell. Author. F. Hoffmann-La Roche AG. Copyright holder, funder.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Rucki P, Paszty N, Stoilova J, Zhu J, Garolini D, de la Rua E, DiPietrantonio C, Waddell (2024). random.cdisc.data: Create Random ADaM Datasets. R package version 0.3.15.","code":"@Manual{,   title = {random.cdisc.data: Create Random ADaM Datasets},   author = {Pawel Rucki and Nick Paszty and Jana Stoilova and Joe Zhu and Davide Garolini and Emily {de la Rua} and Christopher DiPietrantonio and Adrian Waddell},   year = {2024},   note = {R package version 0.3.15}, }"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/index.html","id":"randomcdiscdata","dir":"","previous_headings":"","what":"Create Random ADaM Datasets","title":"Create Random ADaM Datasets","text":"random.cdisc.data package creating random CDISC data. random datasets available create : radsl: Subject-Level Analysis Dataset (ADSL) radab: Anti-Drug Antibody Analysis Dataset (ADAB) radae: Adverse Event Analysis Dataset (ADAE) radaette: Time Adverse Event Analysis Dataset (ADAETTE) radcm: Previous Concomitant Medications Analysis Dataset (ADCM) raddv: Protocol Deviations Analysis Dataset (ADDV) radeg: ECG Analysis Dataset (ADEG) radex: Exposure Analysis Dataset (ADEX) radhy: Hys Law Analysis Dataset (ADHY) radlb: Laboratory Data Analysis Dataset (ADLB) radmh: Medical History Analysis Dataset (ADMH) radpc: Pharmacokinetics Analysis Dataset (ADPC) radpp: Pharmacokinetics Parameters Dataset (ADPP) radqlqc: EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) radqs: Questionnaires Analysis Dataset (ADQS) radrs: Response Analysis Dataset (ADRS) radsaftte: Time Safety Event Analysis Dataset (ADSAFTTE, wrapper radaette) radsub: Subcategory Analysis Dataset (ADSUB) radtr: Tumor Response Analysis Dataset (ADTR) radtte: Time--Event Dataset (ADTTE) radvs: Vital Signs Analysis Dataset (ADVS) Please note changes random data functions requires rebuild cached data. Please read “Rebuilding Random CDISC Cached Data” article.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Create Random ADaM Datasets","text":"releases August 2022 recommended create use Github PAT install latest version package. PAT, run following: stable release NEST packages June 2022 also available .","code":"Sys.setenv(GITHUB_PAT = \"your_access_token_here\") if (!require(\"remotes\")) install.packages(\"remotes\") remotes::install_github(\"insightsengineering/random.cdisc.data@*release\")"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/index.html","id":"acknowledgment","dir":"","previous_headings":"","what":"Acknowledgment","title":"Create Random ADaM Datasets","text":"package result joint efforts many developers stakeholders. like thank everyone contributed far!","code":""},{"path":[]},{"path":[]},{"path":[]},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/pull_request_template.html","id":null,"dir":"","previous_headings":"","what":"Pull Request","title":"Pull Request","text":"Fixes #nnn","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/apply_metadata.html","id":null,"dir":"Reference","previous_headings":"","what":"Apply Metadata — apply_metadata","title":"Apply Metadata — apply_metadata","text":"Apply label variable ordering attributes domains.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/apply_metadata.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Apply Metadata — apply_metadata","text":"","code":"apply_metadata(   df,   filename,   add_adsl = TRUE,   adsl_filename = \"metadata/ADSL.yml\" )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/apply_metadata.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Apply Metadata — apply_metadata","text":"df (data.frame) Data frame metadata applied. filename (yaml) File containing domain metadata. add_adsl (logical) ADSL data merged domain. adsl_filename (yaml) File containing ADSL metadata.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/apply_metadata.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Apply Metadata — apply_metadata","text":"Data frame metadata applied.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/apply_metadata.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Apply Metadata — apply_metadata","text":"","code":"seed <- 1 adsl <- radsl(seed = seed) adsub <- radsub(adsl, seed = seed) yaml_path <- file.path(path.package(\"random.cdisc.data\"), \"inst\", \"metadata\") adsl <- apply_metadata(adsl, file.path(yaml_path, \"ADSL.yml\"), FALSE) adsub <- apply_metadata(   adsub, file.path(yaml_path, \"ADSUB.yml\"), TRUE,   file.path(yaml_path, \"ADSL.yml\") )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/argument_convention.html","id":null,"dir":"Reference","previous_headings":"","what":"Standard Arguments — argument_convention","title":"Standard Arguments — argument_convention","text":"documentation function lists arguments random.cdisc.data used repeatedly dataset creation.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/argument_convention.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Standard Arguments — argument_convention","text":"seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. adsl (data.frame) Subject-Level Analysis Dataset (ADSL). lookup (data.frame) Additional parameters. lookup_aag (data.frame) Additional metadata parameters. param (character vector) Parameter values. paramcd (character vector) Parameter code values. paramu (character vector) Parameter unit values. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). aval_mean (numeric vector) Mean values corresponding parameter.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadab.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADAB — cadab","title":"Cached ADAB — cadab","text":"Cached ADAB data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadab.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADAB — cadab","text":"","code":"data(cadab)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadab.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADAB — cadab","text":"object class tbl_df (inherits tbl, data.frame) 6916 rows 21 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadae.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADAE — cadae","title":"Cached ADAE — cadae","text":"Cached ADAE data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadae.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADAE — cadae","text":"","code":"data(cadae)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadae.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADAE — cadae","text":"object class tbl_df (inherits tbl, data.frame) 1934 rows 92 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadaette.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADAETTE — cadaette","title":"Cached ADAETTE — cadaette","text":"Cached ADAETTE data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadaette.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADAETTE — cadaette","text":"","code":"data(cadaette)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadaette.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADAETTE — cadaette","text":"object class tbl_df (inherits tbl, data.frame) 3600 rows 66 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadcm.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADCM — cadcm","title":"Cached ADCM — cadcm","text":"Cached ADCM data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadcm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADCM — cadcm","text":"","code":"data(cadcm)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadcm.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADCM — cadcm","text":"object class tbl_df (inherits tbl, data.frame) 3685 rows 83 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/caddv.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADDV — caddv","title":"Cached ADDV — caddv","text":"Cached ADDV data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/caddv.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADDV — caddv","text":"","code":"data(caddv)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/caddv.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADDV — caddv","text":"object class tbl_df (inherits tbl, data.frame) 119 rows 66 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadeg.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADEG — cadeg","title":"Cached ADEG — cadeg","text":"Cached ADEG data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadeg.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADEG — cadeg","text":"","code":"data(cadeg)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadeg.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADEG — cadeg","text":"object class tbl_df (inherits tbl, data.frame) 13600 rows 88 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadex.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADEX — cadex","title":"Cached ADEX — cadex","text":"Cached ADEX data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadex.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADEX — cadex","text":"","code":"data(cadex)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadex.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADEX — cadex","text":"object class tbl_df (inherits tbl, data.frame) 6400 rows 79 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadhy.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADHY — cadhy","title":"Cached ADHY — cadhy","text":"Cached ADHY data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadhy.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADHY — cadhy","text":"","code":"data(cadhy)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadhy.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADHY — cadhy","text":"object class tbl_df (inherits tbl, data.frame) 20000 rows 71 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadlb.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADLB — cadlb","title":"Cached ADLB — cadlb","text":"Cached ADLB data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadlb.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADLB — cadlb","text":"","code":"data(cadlb)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadlb.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADLB — cadlb","text":"object class tbl_df (inherits tbl, data.frame) 8400 rows 102 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadmh.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADMH — cadmh","title":"Cached ADMH — cadmh","text":"Cached ADMH data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadmh.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADMH — cadmh","text":"","code":"data(cadmh)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadmh.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADMH — cadmh","text":"object class tbl_df (inherits tbl, data.frame) 1934 rows 67 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadpc.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADPC — cadpc","title":"Cached ADPC — cadpc","text":"Cached ADPC data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadpc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADPC — cadpc","text":"","code":"data(cadpc)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadpc.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADPC — cadpc","text":"object class tbl_df (inherits tbl, data.frame) 6640 rows 72 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadpp.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADPP — cadpp","title":"Cached ADPP — cadpp","text":"Cached ADPP data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadpp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADPP — cadpp","text":"","code":"data(cadpp)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadpp.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADPP — cadpp","text":"object class data.frame 26268 rows 68 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadqlqc.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADQLQC — cadqlqc","title":"Cached ADQLQC — cadqlqc","text":"Cached ADQLQC data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadqlqc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADQLQC — cadqlqc","text":"","code":"data(cadqlqc)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadqlqc.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADQLQC — cadqlqc","text":"object class tbl_df (inherits tbl, data.frame) 116803 rows 50 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadqs.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADQS — cadqs","title":"Cached ADQS — cadqs","text":"Cached ADQS data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadqs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADQS — cadqs","text":"","code":"data(cadqs)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadqs.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADQS — cadqs","text":"object class tbl_df (inherits tbl, data.frame) 14000 rows 73 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadrs.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADRS — cadrs","title":"Cached ADRS — cadrs","text":"Cached ADRS data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadrs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADRS — cadrs","text":"","code":"data(cadrs)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadrs.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADRS — cadrs","text":"object class tbl_df (inherits tbl, data.frame) 3200 rows 65 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadsl.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADSL — cadsl","title":"Cached ADSL — cadsl","text":"Cached ADSL data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadsl.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADSL — cadsl","text":"","code":"data(cadsl)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadsl.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADSL — cadsl","text":"object class tbl_df (inherits tbl, data.frame) 400 rows 55 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadsub.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADSUB — cadsub","title":"Cached ADSUB — cadsub","text":"Cached ADSUB data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadsub.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADSUB — cadsub","text":"","code":"data(cadsub)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadsub.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADSUB — cadsub","text":"object class tbl_df (inherits tbl, data.frame) 2000 rows 65 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadtr.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADTR — cadtr","title":"Cached ADTR — cadtr","text":"Cached ADTR data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadtr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADTR — cadtr","text":"","code":"data(cadtr)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadtr.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADTR — cadtr","text":"object class data.frame 2800 rows 76 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadtte.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADTTE — cadtte","title":"Cached ADTTE — cadtte","text":"Cached ADTTE data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadtte.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADTTE — cadtte","text":"","code":"data(cadtte)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadtte.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADTTE — cadtte","text":"object class tbl_df (inherits tbl, data.frame) 2000 rows 67 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadvs.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADVS — cadvs","title":"Cached ADVS — cadvs","text":"Cached ADVS data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadvs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADVS — cadvs","text":"","code":"data(cadvs)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadvs.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADVS — cadvs","text":"object class tbl_df (inherits tbl, data.frame) 16800 rows 87 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_adqlqc.html","id":null,"dir":"Reference","previous_headings":"","what":"Helper Functions for Constructing ADQLQC — h_adqlqc","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"Internal functions used radqlqc.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_adqlqc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"","code":"get_qs_data(   adsl,   visit_format = \"CYCLE\",   n_assessments = 5L,   n_days = 1L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(QSORRES = c(1234, 0.2), QSSTRESC = c(1234, 0.2)) )  get_random_dates_between(from, to, visit_id)  prep_adqlqc(df)  calc_scales(adqlqc1)  derv_chgcat1(dataset)  comp_derv(dataset, percent, number)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_adqlqc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. (datetime vector) Start date/times. (datetime vector) End date/times. visit_id (vector) Visit identifiers. df (data.frame) SDTM QS dataset. adqlqc1 (data.frame) Prepared data generated prep_adqlqc() function. dataset (data.frame) Dataset. percent (numeric) Completion - Completed least y percent questions, 1 record per visit number (numeric) Completion - Completed least x question(s), 1 record per visit","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_adqlqc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"dataframe SDTM questionnaire data Data frame new randomly generated dates variable. data.frame data.frame data.frame data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_adqlqc.html","id":"functions","dir":"Reference","previous_headings":"","what":"Functions","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"get_qs_data(): Questionnaires EORTC QLQ-C30 V3.0 SDTM (QS) Function generating random Questionnaires SDTM domain get_random_dates_between(): Function generating random dates 2 dates prep_adqlqc(): Prepare ADaM ADQLQC data, adding PARAMCD SDTM QS data calc_scales(): Scale calculation ADQLQC data derv_chgcat1(): Calculate Change Baseline Category 1 comp_derv(): Completion/Compliance Data Calculation","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_adqlqc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1) adqlqc <- radqlqc(adsl, seed = 1, percent = 80, number = 2)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_anthropometrics_by_sex.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","title":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","text":"Anthropometric measurements randomly generated using normal approximation. default mean standard deviation values used based US National Health Statistics adults aged 20 years . measurements generated units provided function.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_anthropometrics_by_sex.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","text":"","code":"h_anthropometrics_by_sex(   df,   seed = 1,   id_var = \"USUBJID\",   sex_var = \"SEX\",   sex_var_level_male = \"M\",   male_weight_in_kg = list(mean = 90.6, sd = 44.9),   female_weight_in_kg = list(mean = 77.5, sd = 46.2),   male_height_in_m = list(mean = 1.75, sd = 0.14),   female_height_in_m = list(mean = 1.61, sd = 0.24) )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_anthropometrics_by_sex.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","text":"df (data.frame) Analysis dataset. seed (numeric) Seed use reproducible random number generation. id_var (character) Patient identifier variable name. sex_var (character) Name variable representing sex patient. sex_var_level_male (character) Level sex_var representing males. male_weight_in_kg (named list) List means SDs male weights kilograms. female_weight_in_kg (named list) List means SDs female weights kilograms. male_height_in_m (named list) List means SDs male heights metres. female_height_in_m (named list) list means SDs female heights metres.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_anthropometrics_by_sex.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","text":"dataframe anthropometric measurements subject analysis dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_anthropometrics_by_sex.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","text":"One record per subject.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/mutate_na.html","id":null,"dir":"Reference","previous_headings":"","what":"Replace Values with NA — mutate_na","title":"Replace Values with NA — mutate_na","text":"Replace column values NAs.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/mutate_na.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Replace Values with NA — mutate_na","text":"","code":"mutate_na(ds, na_vars = NULL, na_percentage = 0.05)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/mutate_na.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Replace Values with NA — mutate_na","text":"ds (data.frame) data set. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. na_percentage (proportion) Default percentage values replaced NA.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/mutate_na.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Replace Values with NA — mutate_na","text":"dataframe without NA values.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radab.html","id":null,"dir":"Reference","previous_headings":"","what":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"Function generating random Anti-Drug Antibody Analysis Dataset given Subject-Level Analysis Dataset Pharmacokinetics Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radab.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"","code":"radab(   adsl,   adpc,   constants = c(D = 100, ka = 0.8, ke = 1),   paramcd = c(\"R1800000\", \"RESULT1\", \"R1800001\", \"RESULT2\", \"ADASTAT1\", \"INDUCD1\",     \"ENHANC1\", \"TRUNAFF1\", \"EMERNEG1\", \"EMERPOS1\", \"PERSADA1\", \"TRANADA1\", \"BFLAG1\",     \"TIMADA1\", \"ADADUR1\", \"ADASTAT2\", \"INDUCD2\", \"ENHANC2\", \"EMERNEG2\", \"EMERPOS2\",     \"BFLAG2\", \"TRUNAFF2\"),   param = c(\"Antibody titer units\", \"ADA interpreted per sample result\",     \"Neutralizing Antibody titer units\", \"NAB interpreted per sample result\",     \"ADA Status of a patient\", \"Treatment induced ADA\", \"Treatment enhanced ADA\",     \"Treatment unaffected\", \"Treatment Emergent - Negative\",     \"Treatment Emergent - Positive\", \"Persistent ADA\", \"Transient ADA\", \"Baseline\",     \"Time to onset of ADA\", \"ADA Duration\", \"NAB Status of a patient\",     \"Treatment induced ADA, Neutralizing Antibody\",     \"Treatment enhanced ADA, Neutralizing Antibody\",           \"Treatment Emergent - Negative, Neutralizing Antibody\",     \"Treatment Emergent - Positive, Neutralizing Antibody\",     \"Baseline, Neutralizing Antibody\", \"Treatment unaffected, Neutralizing Antibody\"),   avalu = c(\"titer\", \"\", \"titer\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"weeks\",     \"weeks\", \"\", \"\", \"\", \"\", \"\", \"\", \"\"),   seed = NULL,   na_percentage = 0,   na_vars = list(AVAL = c(NA, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radab.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). adpc (data.frame) Pharmacokinetics Analysis Dataset. constants (character vector) Constant parameters used formulas creating analysis values. paramcd (character vector) Parameter code values. param (character vector) Parameter values. avalu (character) Analysis value units. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADAB data cadab returned new data generated. set TRUE arguments radab ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radab.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radab.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"One record per study per subject per parameter per time point: \"R1800000\", \"RESULT1\", \"R1800001\", \"RESULT2\".","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radab.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2) adpc <- radpc(adsl, seed = 2, duration = 9 * 7)  adab <- radab(adsl, adpc, seed = 2) adab #> # A tibble: 208 × 21 #>    STUDYID USUBJID      ARM   ACTARM ISTPT  AVAL AVALC AVALU PARAM PARAMCD VISIT #>    <chr>   <chr>        <fct> <fct>  <fct> <dbl> <chr> <fct> <fct> <fct>   <fct> #>  1 AB12345 AB12345-JPN… A: D… A: Dr… Pred…  1.04 POSI… titer Anti… R18000… Day 1 #>  2 AB12345 AB12345-USA… A: D… A: Dr… Pred…  1.32 POSI… titer Anti… R18000… Day 1 #>  3 AB12345 AB12345-BRA… A: D… A: Dr… Pred… NA    NEGA… titer Anti… R18000… Day 1 #>  4 AB12345 AB12345-CHN… A: D… A: Dr… Pred… NA    NEGA… titer Anti… R18000… Day 1 #>  5 AB12345 AB12345-CHN… C: C… C: Co… Pred…  1.03 POSI… titer Anti… R18000… Day 1 #>  6 AB12345 AB12345-CHN… A: D… A: Dr… Pred…  1.14 POSI… titer Anti… R18000… Day 1 #>  7 AB12345 AB12345-RUS… A: D… A: Dr… Pred…  1.40 POSI… titer Anti… R18000… Day 1 #>  8 AB12345 AB12345-BRA… C: C… C: Co… Pred… NA    NEGA… titer Anti… R18000… Day 1 #>  9 AB12345 AB12345-JPN… A: D… A: Dr… 24H    1.20 POSI… titer Anti… R18000… Day 2 #> 10 AB12345 AB12345-USA… A: D… A: Dr… 24H   NA    NEGA… titer Anti… R18000… Day 2 #> # ℹ 198 more rows #> # ℹ 10 more variables: VISITDY <int>, PARCAT1 <fct>, ADABLPFL <fct>, #> #   ADPBLPFL <fct>, ABLFL <fct>, RELTMU <fct>, NFRLT <dbl>, AFRLT <dbl>, #> #   NRRLT <dbl>, ARRLT <dbl>"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radae.html","id":null,"dir":"Reference","previous_headings":"","what":"Adverse Event Analysis Dataset (ADAE) — radae","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"Function generating random Adverse Event Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radae.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"","code":"radae(   adsl,   max_n_aes = 10L,   lookup = NULL,   lookup_aag = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(AEBODSYS = c(NA, 0.1), AEDECOD = c(1234, 0.1), AETOXGR = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radae.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). max_n_aes (integer) Maximum number AEs per patient. Defaults 10. lookup (data.frame) Additional parameters. lookup_aag (data.frame) Additional metadata parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADAE data cadae returned new data generated. set TRUE arguments radae ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radae.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radae.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"One record per record corresponding SDTM domain. Keys: STUDYID, USUBJID, ASTDTM, AETERM, AESEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radae.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1)  adae <- radae(adsl, seed = 2) adae #> # A tibble: 51 × 92 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  8 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 41 more rows #> # ℹ 81 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  # Add metadata. aag <- utils::read.table(   sep = \",\", header = TRUE,   text = paste(     \"NAMVAR,SRCVAR,GRPTYPE,REFNAME,REFTERM,SCOPE\",     \"CQ01NAM,AEDECOD,CUSTOM,D.2.1.5.3/A.1.1.1.1 AESI,dcd D.2.1.5.3,\",     \"CQ01NAM,AEDECOD,CUSTOM,D.2.1.5.3/A.1.1.1.1 AESI,dcd A.1.1.1.1,\",     \"SMQ01NAM,AEDECOD,SMQ,C.1.1.1.3/B.2.2.3.1 AESI,dcd C.1.1.1.3,BROAD\",     \"SMQ01NAM,AEDECOD,SMQ,C.1.1.1.3/B.2.2.3.1 AESI,dcd B.2.2.3.1,BROAD\",     \"SMQ02NAM,AEDECOD,SMQ,Y.9.9.9.9/Z.9.9.9.9 AESI,dcd Y.9.9.9.9,NARROW\",     \"SMQ02NAM,AEDECOD,SMQ,Y.9.9.9.9/Z.9.9.9.9 AESI,dcd Z.9.9.9.9,NARROW\",     sep = \"\\n\"   ), stringsAsFactors = FALSE )  adae <- radae(adsl, lookup_aag = aag)  with(   adae,   cbind(     table(AEDECOD, SMQ01NAM),     table(AEDECOD, CQ01NAM)   ) ) #>               C.1.1.1.3/B.2.2.3.1 AESI D.2.1.5.3/A.1.1.1.1 AESI #> dcd A.1.1.1.1                        0                        9 #> dcd A.1.1.1.2                        0                        0 #> dcd B.1.1.1.1                        0                        0 #> dcd B.2.1.2.1                        0                        0 #> dcd B.2.2.3.1                       11                        0 #> dcd C.1.1.1.3                       10                        0 #> dcd C.2.1.2.1                        0                        0 #> dcd D.1.1.1.1                        0                        0 #> dcd D.1.1.4.2                        0                        0 #> dcd D.2.1.5.3                        0                        6"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radaette.html","id":null,"dir":"Reference","previous_headings":"","what":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"Function generate random Time--AE Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radaette.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"","code":"radaette(   adsl,   event_descr = NULL,   censor_descr = NULL,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(CNSR = c(NA, 0.1), AVAL = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radaette.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). event_descr (character vector) Descriptions events. Defaults NULL. censor_descr (character vector) Descriptions censors. Defaults NULL. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADAETTE data cadaette returned new data generated. set TRUE arguments radaette ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radaette.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radaette.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"Keys: STUDYID, USUBJID, PARAMCD","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radaette.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"Xiuting Mi","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radaette.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adaette <- radaette(adsl, seed = 2) adaette #> # A tibble: 90 × 66 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 80 more rows #> # ℹ 55 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radcm.html","id":null,"dir":"Reference","previous_headings":"","what":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"Function generating random Concomitant Medication Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radcm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"","code":"radcm(   adsl,   max_n_cms = 10L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(CMCLAS = c(NA, 0.1), CMDECOD = c(1234, 0.1), ATIREL = c(1234, 0.1)),   who_coding = FALSE,   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radcm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). max_n_cms (integer) Maximum number concomitant medications per patient. Defaults 10. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. who_coding (flag) Whether coding (multiple paths per medication) used. cached boolean whether cached ADCM data cadcm returned new data generated. set TRUE arguments radcm ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radcm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radcm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"One record per record corresponding SDTM domain. Keys: STUDYID, USUBJID, ASTDTM, CMSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radcm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adcm <- radcm(adsl, seed = 2) adcm #> # A tibble: 50 × 83 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  2 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  3 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  4 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  5 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  8 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  9 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #> 10 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #> # ℹ 40 more rows #> # ℹ 72 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  adcm_who <- radcm(adsl, seed = 2, who_coding = TRUE) adcm_who #> # A tibble: 102 × 83 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  2 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  3 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  4 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  5 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  8 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  9 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #> 10 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #> # ℹ 92 more rows #> # ℹ 72 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/raddv.html","id":null,"dir":"Reference","previous_headings":"","what":"Protocol Deviations Analysis Dataset (ADDV) — raddv","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"Function generating random Protocol Deviations Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/raddv.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"","code":"raddv(   adsl,   max_n_dv = 3L,   p_dv = 0.15,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(ASTDT = c(seed = 1234, percentage = 0.1), DVCAT = c(seed = 1234,     percentage = 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/raddv.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). max_n_dv (integer) Maximum number deviations per patient. Defaults 3. p_dv (proportion) Probability patient protocol deviations. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADDV data caddv returned new data generated. set TRUE arguments raddv ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/raddv.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/raddv.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"One record per record corresponding SDTM domain. Keys: STUDYID, USUBJID, ASTDT, DVTERM, DVSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/raddv.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  addv <- raddv(adsl, seed = 2) addv #> # A tibble: 9 × 66 #>   STUDYID USUBJID     SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>   <chr>   <chr>       <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #> 1 AB12345 AB12345-BR… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 2 AB12345 AB12345-BR… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 3 AB12345 AB12345-BR… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 4 AB12345 AB12345-CH… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #> 5 AB12345 AB12345-CH… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #> 6 AB12345 AB12345-CH… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #> 7 AB12345 AB12345-US… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #> 8 AB12345 AB12345-US… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #> 9 AB12345 AB12345-US… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #> # ℹ 55 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, #> #   AP01SDTM <dttm>, AP01EDTM <dttm>, AP02SDTM <dttm>, AP02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radeg.html","id":null,"dir":"Reference","previous_headings":"","what":"ECG Analysis Dataset (ADEG) — radeg","title":"ECG Analysis Dataset (ADEG) — radeg","text":"Function generating random dataset ECG Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radeg.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"ECG Analysis Dataset (ADEG) — radeg","text":"","code":"radeg(   adsl,   egcat = c(\"INTERVAL\", \"INTERVAL\", \"MEASUREMENT\", \"FINDING\"),   param = c(\"QT Duration\", \"RR Duration\", \"Heart Rate\", \"ECG Interpretation\"),   paramcd = c(\"QT\", \"RR\", \"HR\", \"ECGINTP\"),   paramu = c(\"msec\", \"msec\", \"beats/min\", \"\"),   visit_format = \"WEEK\",   n_assessments = 5L,   n_days = 5L,   max_n_eg = 10L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(ABLFL = c(1235, 0.1), BASE = c(NA, 0.1), BASEC = c(NA, 0.1), CHG =     c(1234, 0.1), PCHG = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radeg.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"ECG Analysis Dataset (ADEG) — radeg","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). egcat (character vector) EG category values. param (character vector) Parameter values. paramcd (character vector) Parameter code values. paramu (character vector) Parameter unit values. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). max_n_eg (integer) Maximum number EG results per patient. Defaults 10. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADEG data cadeg returned new data generated. set TRUE arguments radeg ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radeg.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"ECG Analysis Dataset (ADEG) — radeg","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radeg.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"ECG Analysis Dataset (ADEG) — radeg","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, BASETYPE, AVISITN, ATPTN, DTYPE, ADTM, EGSEQ, ASPID","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radeg.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"ECG Analysis Dataset (ADEG) — radeg","text":"tomlinsj, npaszty, Xuefeng Hou, dipietrc","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radeg.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"ECG Analysis Dataset (ADEG) — radeg","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adeg <- radeg(adsl, visit_format = \"WEEK\", n_assessments = 7L, seed = 2) adeg #> # A tibble: 420 × 88 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 410 more rows #> # ℹ 77 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  adeg <- radeg(adsl, visit_format = \"CYCLE\", n_assessments = 2L, seed = 2) adeg #> # A tibble: 500 × 88 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 490 more rows #> # ℹ 77 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radex.html","id":null,"dir":"Reference","previous_headings":"","what":"Exposure Analysis Dataset (ADEX) — radex","title":"Exposure Analysis Dataset (ADEX) — radex","text":"Function generating random Exposure Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radex.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Exposure Analysis Dataset (ADEX) — radex","text":"","code":"radex(   adsl,   param = c(\"Dose administered during constant dosing interval\",     \"Number of doses administered during constant dosing interval\",     \"Total dose administered\", \"Total number of doses administered\"),   paramcd = c(\"DOSE\", \"NDOSE\", \"TDOSE\", \"TNDOSE\"),   paramu = c(\"mg\", \" \", \"mg\", \" \"),   parcat1 = c(\"INDIVIDUAL\", \"OVERALL\"),   parcat2 = c(\"Drug A\", \"Drug B\"),   visit_format = \"WEEK\",   n_assessments = 5L,   n_days = 5L,   max_n_exs = 6L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(AVAL = c(NA, 0.1), AVALU = c(NA), 0.1),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radex.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Exposure Analysis Dataset (ADEX) — radex","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. paramu (character vector) Parameter unit values. parcat1 (character vector) Dose amount categories. Defaults \"Individual\" \"Overall\". parcat2 (character vector) Types drug received. Defaults \"Drug \" \"Drug B\". visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). max_n_exs (integer) Maximum number exposures per patient. Defaults 6. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADEX data cadex returned new data generated. set TRUE arguments radex ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radex.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Exposure Analysis Dataset (ADEX) — radex","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radex.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Exposure Analysis Dataset (ADEX) — radex","text":"One record per record corresponding SDTM domain. Keys: STUDYID, USUBJID, EXSEQ, PARAMCD, PARCAT1, ASTDTM, AENDTM, ASTDY, AENDY, AVISITN, EXDOSFRQ, EXROUTE, VISIT, VISITDY, EXSTDTC, EXENDTC, EXSTDY, EXENDY","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radex.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Exposure Analysis Dataset (ADEX) — radex","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1)  adex <- radex(adsl, seed = 2) adex #> # A tibble: 160 × 79 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 150 more rows #> # ℹ 68 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radhy.html","id":null,"dir":"Reference","previous_headings":"","what":"Hy's Law Analysis Dataset (ADHY) — radhy","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"Function generating random Hy's Law Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radhy.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"","code":"radhy(   adsl,   param = c(\"TBILI <= 2 times ULN and ALT value category\",     \"TBILI > 2 times ULN and AST value category\",     \"TBILI > 2 times ULN and ALT value category\",     \"TBILI <= 2 times ULN and AST value category\",     \"TBILI > 2 times ULN and ALKPH <= 2 times ULN and ALT value category\",     \"TBILI > 2 times ULN and ALKPH <= 2 times ULN and AST value category\",     \"TBILI > 2 times ULN and ALKPH <= 5 times ULN and ALT value category\",     \"TBILI > 2 times ULN and ALKPH <= 5 times ULN and AST value category\",     \"TBILI <= 2 times ULN and two consecutive elevations of ALT in relation to ULN\",           \"TBILI > 2 times ULN and two consecutive elevations of AST in relation to ULN\",     \"TBILI <= 2 times ULN and two consecutive elevations of AST in relation to ULN\",     \"TBILI > 2 times ULN and two consecutive elevations of ALT in relation to ULN\",     \"TBILI > 2 times ULN and two consecutive elevations of ALT in relation to Baseline\",     \"TBILI <= 2 times ULN and two consecutive elevations of ALT in relation to Baseline\",     \"TBILI > 2 times ULN and two consecutive elevations of AST in relation to Baseline\",               \"TBILI <= 2 times ULN and two consecutive elevations of AST in relation to Baseline\",     \"ALT > 3 times ULN by Period\", \"AST > 3 times ULN by Period\",     \"ALT or AST > 3 times ULN by Period\", \"ALT > 3 times Baseline by Period\",     \"AST > 3 times Baseline by Period\", \"ALT or AST > 3 times Baseline by Period\"),   paramcd = c(\"BLAL\", \"BGAS\", \"BGAL\", \"BLAS\", \"BA2AL\", \"BA2AS\", \"BA5AL\", \"BA5AS\",     \"BL2AL2CU\", \"BG2AS2CU\", \"BL2AS2CU\", \"BG2AL2CU\", \"BG2AL2CB\", \"BL2AL2CB\", \"BG2AS2CB\",     \"BL2AS2CB\", \"ALTPULN\", \"ASTPULN\", \"ALTASTPU\", \"ALTPBASE\", \"ASTPBASE\", \"ALTASTPB\"),   seed = NULL,   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radhy.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. seed (numeric) Seed use reproducible random number generation. cached boolean whether cached ADHY data cadhy returned new data generated. set TRUE arguments radhy ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radhy.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radhy.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, AVISITN, ADTM, SRCSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radhy.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"wojciakw","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radhy.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adhy <- radhy(adsl, seed = 2) adhy #> # A tibble: 500 × 71 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 490 more rows #> # ℹ 60 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radlb.html","id":null,"dir":"Reference","previous_headings":"","what":"Laboratory Data Analysis Dataset (ADLB) — radlb","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"Function generating random Laboratory Data Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radlb.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"","code":"radlb(   adsl,   lbcat = c(\"CHEMISTRY\", \"CHEMISTRY\", \"IMMUNOLOGY\"),   param = c(\"Alanine Aminotransferase Measurement\", \"C-Reactive Protein Measurement\",     \"Immunoglobulin A Measurement\"),   paramcd = c(\"ALT\", \"CRP\", \"IGA\"),   paramu = c(\"U/L\", \"mg/L\", \"g/L\"),   aval_mean = c(18, 9, 2.9),   visit_format = \"WEEK\",   n_assessments = 5L,   n_days = 5L,   max_n_lbs = 10L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(LOQFL = c(NA, 0.1), ABLFL2 = c(1234, 0.1), ABLFL = c(1235, 0.1), BASE2 =     c(NA, 0.1), BASE = c(NA, 0.1), CHG2 = c(1235, 0.1), PCHG2 = c(1235, 0.1), CHG =     c(1234, 0.1), PCHG = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radlb.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). lbcat (character vector) LB category values. param (character vector) Parameter values. paramcd (character vector) Parameter code values. paramu (character vector) Parameter unit values. aval_mean (numeric vector) Mean values corresponding parameter. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). max_n_lbs (integer) Maximum number labs per patient. Defaults 10. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADLB data cadlb returned new data generated. set TRUE arguments radlb ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radlb.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radlb.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, BASETYPE, AVISITN, ATPTN, DTYPE, ADTM, LBSEQ, ASPID","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radlb.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"tomlinsj, npaszty, Xuefeng Hou","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radlb.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adlb <- radlb(adsl, visit_format = \"WEEK\", n_assessments = 7L, seed = 2) adlb #> # A tibble: 270 × 102 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 260 more rows #> # ℹ 91 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  adlb <- radlb(adsl, visit_format = \"CYCLE\", n_assessments = 2L, seed = 2) adlb #> # A tibble: 330 × 102 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 320 more rows #> # ℹ 91 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radmh.html","id":null,"dir":"Reference","previous_headings":"","what":"Medical History Analysis Dataset (ADMH) — radmh","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"Function generating random Medical History Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radmh.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"","code":"radmh(   adsl,   max_n_mhs = 10L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(MHBODSYS = c(NA, 0.1), MHDECOD = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radmh.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). max_n_mhs (integer) Maximum number MHs per patient. Defaults 10. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADMH data cadmh returned new data generated. set TRUE arguments radmh ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radmh.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radmh.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"One record per record corresponding SDTM domain. Keys: STUDYID, USUBJID, ASTDTM, MHSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radmh.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1)  admh <- radmh(adsl, seed = 2) admh #> # A tibble: 51 × 67 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  8 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 41 more rows #> # ℹ 56 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpc.html","id":null,"dir":"Reference","previous_headings":"","what":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"Function generating random Pharmacokinetics Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"","code":"radpc(   adsl,   avalu = \"ug/mL\",   constants = c(D = 100, ka = 0.8, ke = 1),   duration = 2,   seed = NULL,   na_percentage = 0,   na_vars = list(AVAL = c(NA, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). avalu (character) Analysis value units. constants (character vector) Constant parameters used formulas creating analysis values. duration (numeric) Duration number days. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADPC data cadpc returned new data generated. set TRUE arguments radpc ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpc.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"One record per study, subject, parameter, time point.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adpc <- radpc(adsl, seed = 2) adpc #> # A tibble: 180 × 72 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 170 more rows #> # ℹ 61 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  adpc <- radpc(adsl, seed = 2, duration = 3) adpc #> # A tibble: 206 × 72 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 196 more rows #> # ℹ 61 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpp.html","id":null,"dir":"Reference","previous_headings":"","what":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"Function generating random Pharmacokinetics Parameters Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"","code":"radpp(   adsl,   ppcat = c(\"Plasma Drug X\", \"Plasma Drug Y\", \"Metabolite Drug X\", \"Metabolite Drug Y\"),   ppspec = c(\"Plasma\", \"Plasma\", \"Plasma\", \"Matrix of PD\", \"Matrix of PD\", \"Urine\",     \"Urine\", \"Urine\", \"Urine\"),   paramcd = c(\"AUCIFO\", \"CMAX\", \"CLO\", \"RMAX\", \"TON\", \"RENALCL\", \"RENALCLD\", \"RCAMINT\",     \"RCPCINT\"),   param = c(\"AUC Infinity Obs\", \"Max Conc\", \"Total CL Obs\", \"Time of Maximum Response\",     \"Time to Onset\", \"Renal CL\", \"Renal CL Norm by Dose\", \"Amt Rec from T1 to T2\",     \"Pct Rec from T1 to T2\"),   paramu = c(\"day*ug/mL\", \"ug/mL\", \"ml/day/kg\", \"hr\", \"hr\", \"L/hr\", \"L/hr/mg\", \"mg\",     \"%\"),   aval_mean = c(200, 30, 5, 10, 3, 0.05, 0.005, 1.5613, 15.65),   visit_format = \"CYCLE\",   n_days = 2L,   seed = NULL,   na_percentage = 0,   na_vars = list(AVAL = c(NA, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). ppcat (character vector) Categories parameters. ppspec (character vector) Specimen material types. paramcd (character vector) Parameter code values. param (character vector) Parameter values. paramu (character vector) Parameter unit values. aval_mean (numeric vector) Mean values corresponding parameter. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_days (integer) Number days cycle (used visit_format \"CYCLE\"). seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADPP data cadpp returned new data generated. set TRUE arguments radpp ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpp.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpp.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"One record per study, subject, parameter category, parameter visit.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adpp <- radpp(adsl, seed = 2) adpp #>     STUDYID             USUBJID SUBJID SITEID AGE  AGEU SEX #> 1   AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 2   AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 3   AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 4   AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 5   AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 6   AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 7   AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 8   AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 9   AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 10  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 11  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 12  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 13  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 14  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 15  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 16  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 17  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 18  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 19  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 20  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 21  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 22  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 23  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 24  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 25  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 26  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 27  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 28  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 29  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 30  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 31  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 32  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 33  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 34  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 35  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 36  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 37  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 38  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 39  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 40  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 41  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 42  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 43  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 44  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 45  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 46  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 47  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 48  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 49  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 50  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 51  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 52  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 53  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 54  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 55  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 56  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 57  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 58  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 59  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 60  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 61  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 62  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 63  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 64  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 65  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 66  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 67  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 68  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 69  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 70  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 71  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 72  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 73  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 74  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 75  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 76  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 77  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 78  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 79  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 80  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 81  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 82  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 83  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 84  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 85  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 86  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 87  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 88  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 89  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 90  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 91  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 92  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 93  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 94  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 95  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 96  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 97  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 98  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 99  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 100 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 101 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 102 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 103 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 104 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 105 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 106 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 107 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 108 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 109 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 110 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 111 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 112 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 113 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 114 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 115 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 116 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 117 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 118 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 119 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 120 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 121 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 122 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 123 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 124 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 125 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 126 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 127 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 128 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 129 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 130 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 131 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 132 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 133 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 134 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 135 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 136 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 137 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 138 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 139 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 140 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 141 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 142 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 143 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 144 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 145 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 146 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 147 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 148 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 149 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 150 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 151 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 152 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 153 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 154 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 155 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 156 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 157 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 158 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 159 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 160 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 161 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 162 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 163 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 164 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 165 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 166 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 167 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 168 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 169 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 170 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 171 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 172 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 173 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 174 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 175 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 176 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 177 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 178 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 179 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 180 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 181 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 182 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 183 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 184 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 185 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 186 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 187 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 188 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 189 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 190 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 191 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 192 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 193 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 194 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 195 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 196 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 197 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 198 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 199 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 200 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 201 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 202 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 203 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 204 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 205 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 206 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 207 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 208 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 209 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 210 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 211 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 212 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 213 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 214 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 215 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 216 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 217 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 218 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 219 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 220 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 221 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 222 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 223 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 224 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 225 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 226 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 227 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 228 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 229 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 230 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 231 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 232 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 233 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 234 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 235 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 236 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 237 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 238 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 239 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 240 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 241 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 242 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 243 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 244 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 245 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 246 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 247 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 248 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 249 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 250 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 251 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 252 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 253 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 254 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 255 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 256 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 257 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 258 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 259 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 260 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 261 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 262 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 263 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 264 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 265 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 266 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 267 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 268 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 269 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 270 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 271 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 272 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 273 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 274 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 275 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 276 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 277 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 278 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 279 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 280 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 281 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 282 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 283 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 284 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 285 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 286 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 287 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 288 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 289 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 290 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 291 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 292 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 293 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 294 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 295 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 296 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 297 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 298 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 299 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 300 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 301 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 302 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 303 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 304 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 305 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 306 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 307 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 308 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 309 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 310 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 311 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 312 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 313 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 314 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 315 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 316 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 317 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 318 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 319 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 320 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 321 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 322 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 323 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 324 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 325 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 326 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 327 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 328 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 329 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 330 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 331 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 332 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 333 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 334 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 335 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 336 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 337 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 338 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 339 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 340 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 341 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 342 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 343 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 344 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 345 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 346 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 347 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 348 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 349 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 350 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 351 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 352 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 353 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 354 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 355 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 356 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 357 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 358 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 359 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 360 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 361 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 362 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 363 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 364 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 365 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 366 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 367 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 368 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 369 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 370 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 371 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 372 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 373 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 374 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 375 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 376 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 377 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 378 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 379 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 380 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 381 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 382 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 383 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 384 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 385 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 386 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 387 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 388 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 389 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 390 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 391 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 392 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 393 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 394 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 395 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 396 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 397 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 398 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 399 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 400 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 401 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 402 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 403 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 404 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 405 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 406 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 407 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 408 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 409 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 410 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 411 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 412 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 413 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 414 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 415 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 416 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 417 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 418 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 419 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 420 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 421 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 422 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 423 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 424 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 425 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 426 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 427 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 428 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 429 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 430 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 431 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 432 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 433 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 434 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 435 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 436 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 437 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 438 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 439 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 440 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 441 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 442 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 443 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 444 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 445 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 446 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 447 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 448 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 449 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 450 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 451 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 452 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 453 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 454 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 455 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 456 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 457 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 458 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 459 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 460 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 461 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 462 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 463 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 464 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 465 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 466 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 467 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 468 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 469 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 470 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 471 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 472 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 473 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 474 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 475 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 476 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 477 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 478 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 479 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 480 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 481 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 482 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 483 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 484 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 485 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 486 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 487 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 488 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 489 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 490 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 491 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 492 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 493 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 494 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 495 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 496 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 497 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 498 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 499 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 500 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 501 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 502 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 503 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 504 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 505 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 506 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 507 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 508 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 509 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 510 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 511 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 512 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 513 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 514 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 515 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 516 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 517 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 518 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 519 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 520 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 521 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 522 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 523 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 524 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 525 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 526 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 527 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 528 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 529 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 530 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 531 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 532 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 533 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 534 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 535 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 536 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 537 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 538 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 539 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 540 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 541 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 542 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 543 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 544 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 545 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 546 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 547 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 548 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 549 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 550 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 551 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 552 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 553 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 554 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 555 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 556 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 557 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 558 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 559 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 560 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 561 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 562 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 563 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 564 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 565 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 566 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 567 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 568 AB12345  AB12345-BRA-1-id-9   id-9  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AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 601 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 602 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 603 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 604 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 605 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 606 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 607 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 608 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 609 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 610 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 611 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 612 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 613 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 614 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 615 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 616 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 617 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 618 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 619 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 620 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 621 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 622 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 623 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 624 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 625 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 626 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 627 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 628 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 629 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 630 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 631 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 632 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 633 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 634 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 635 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 636 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 637 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 638 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 639 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 640 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 641 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 642 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 643 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 644 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 645 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 646 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 647 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 648 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 649 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 650 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 651 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 652 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 653 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 654 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 655 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 656 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 657 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 658 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 659 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 660 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #>                                 RACE                 ETHNIC COUNTRY DTHFL #> 1                              ASIAN NOT HISPANIC OR LATINO     JPN     N #> 2   AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 3                              ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 4          BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 5                              WHITE NOT HISPANIC OR LATINO     CHN     Y #> 6                              ASIAN NOT HISPANIC OR LATINO     CHN     N #> 7                              ASIAN NOT HISPANIC OR LATINO     RUS     N #> 8          BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 9                              WHITE NOT HISPANIC OR LATINO     CHN     Y #> 10         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 11                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 12  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 13                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 14         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 15                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 16                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 17                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 18         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 19                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 20         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 21                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 22  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 23                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 24         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 25                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 26                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 27                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 28         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 29                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 30         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 31                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 32  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 33                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 34         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 35                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 36                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 37                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 38         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 39                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 40         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 41                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 42  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 43                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 44         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 45                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 46                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 47                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 48         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 49                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 50         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 51                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 52  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 53                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 54         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 55                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 56                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 57                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 58         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 59                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 60         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 61                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 62  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 63                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 64         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 65                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 66                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 67                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 68         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 69                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 70         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 71                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 72  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 73                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 74         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 75                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 76                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 77                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 78         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 79                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 80         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 81                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 82  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 83                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 84         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 85                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 86                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 87                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 88         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 89                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 90         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 91                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 92  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 93                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 94         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 95                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 96                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 97                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 98         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 99                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 100        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 101                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 102 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 103                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 104        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 105                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 106                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 107                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 108        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 109                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 110        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 111                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 112 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 113                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 114        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 115                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 116                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 117                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 118        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 119                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 120        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 121                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 122 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 123                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 124        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 125                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 126                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 127                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 128        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 129                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 130        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 131                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 132 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 133                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 134        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 135                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 136                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 137                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 138        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 139                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 140        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 141                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 142                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 143 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 144 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 145                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 146                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 147        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 148        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 149                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 150                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 151                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 152                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 153                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 154                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 155        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 156        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 157                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 158                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 159        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 160        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 161                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 162                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 163 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 164 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 165                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 166                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 167        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 168        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 169                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 170                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 171                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 172                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 173                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 174                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 175        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 176        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 177                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 178                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 179        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 180        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 181                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 182                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 183 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 184 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 185                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 186                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 187        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 188        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 189                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 190                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 191                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 192                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 193                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 194                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 195        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 196        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 197                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 198                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 199        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 200        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 201                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 202                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 203 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 204 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 205                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 206                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 207        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 208        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 209                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 210                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 211                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 212                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 213                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 214                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 215        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 216        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 217                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 218                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 219        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 220        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 221                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 222 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 223                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 224        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 225                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 226                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 227                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 228        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 229                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 230        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 231                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 232 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 233                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 234        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 235                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 236                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 237                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 238        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 239                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 240        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 241                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 242 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 243                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 244        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 245                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 246                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 247                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 248        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 249                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 250        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 251                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 252 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 253                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 254        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 255                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 256                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 257                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 258        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 259                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 260        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 261                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 262 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 263                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 264        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 265                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 266                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 267                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 268        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 269                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 270        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 271                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 272 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 273                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 274        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 275                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 276                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 277                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 278        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 279                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 280        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 281                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 282 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 283                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 284        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 285                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 286                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 287                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 288        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 289                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 290        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 291                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 292 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 293                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 294        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 295                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 296                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 297                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 298        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 299                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 300        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 301                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 302 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 303                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 304        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 305                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 306                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 307                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 308        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 309                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 310        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 311                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 312 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 313                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 314        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 315                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 316                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 317                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 318        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 319                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 320        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 321                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 322 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 323                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 324        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 325                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 326                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 327                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 328        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 329                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 330        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 331                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 332 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 333                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 334        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 335                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 336                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 337                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 338        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 339                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 340        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 341                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 342 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 343                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 344        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 345                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 346                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 347                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 348        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 349                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 350        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 351                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 352 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 353                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 354        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 355                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 356                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 357                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 358        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 359                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 360        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 361                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 362                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 363 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 364 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 365                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 366                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 367        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 368        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 369                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 370                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 371                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 372                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 373                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 374                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 375        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 376        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 377                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 378                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 379        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 380        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 381                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 382                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 383 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 384 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 385                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 386                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 387        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 388        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 389                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 390                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 391                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 392                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 393                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 394                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 395        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 396        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 397                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 398                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 399        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 400        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 401                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 402                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 403 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 404 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 405                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 406                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 407        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 408        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 409                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 410                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 411                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 412                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 413                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 414                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 415        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 416        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 417                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 418                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 419        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 420        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 421                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 422                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 423 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 424 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 425                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 426                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 427        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 428        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 429                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 430                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 431                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 432                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 433                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 434                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 435        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 436        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 437                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 438                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 439        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 440        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 441                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 442 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 443                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 444        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 445                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 446                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 447                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 448        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 449                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 450        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 451                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 452 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 453                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 454        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 455                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 456                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 457                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 458        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 459                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 460        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 461                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 462 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 463                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 464        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 465                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 466                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 467                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 468        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 469                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 470        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 471                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 472 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 473                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 474        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 475                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 476                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 477                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 478        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 479                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 480        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 481                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 482 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 483                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 484        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 485                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 486                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 487                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 488        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 489                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 490        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 491                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 492 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 493                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 494        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 495                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 496                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 497                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 498        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 499                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 500        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 501                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 502 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 503                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 504        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 505                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 506                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 507                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 508        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 509                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 510        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 511                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 512 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 513                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 514        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 515                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 516                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 517                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 518        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 519                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 520        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 521                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 522 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 523                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 524        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 525                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 526                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 527                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 528        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 529                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 530        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 531                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 532 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 533                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 534        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 535                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 536                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 537                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 538        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 539                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 540        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 541                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 542 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 543                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 544        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 545                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 546                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 547                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 548        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 549                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 550        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 551                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 552 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 553                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 554        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 555                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 556                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 557                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 558        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 559                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 560        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 561                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 562 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 563                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 564        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 565                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 566                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 567                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 568        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 569                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 570        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 571                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 572 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 573                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 574        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 575                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 576                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 577                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 578        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 579                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 580        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 581                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 582                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 583 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 584 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 585                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 586                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 587        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 588        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 589                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 590                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 591                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 592                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 593                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 594                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 595        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 596        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 597                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 598                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 599        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 600        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 601                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 602                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 603 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 604 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 605                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 606                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 607        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 608        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 609                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 610                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 611                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 612                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 613                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 614                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 615        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 616        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 617                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 618                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 619        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 620        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 621                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 622                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 623 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 624 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 625                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 626                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 627        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 628        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 629                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 630                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 631                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 632                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 633                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 634                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 635        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 636        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 637                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 638                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 639        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 640        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 641                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 642                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 643 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 644 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 645                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 646                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 647        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 648        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 649                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 650                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 651                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 652                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 653                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 654                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 655        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 656        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 657                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 658                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 659        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 660        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #>             INVID         INVNAM            ARM ARMCD         ACTARM ACTARMCD #> 1    INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 2   INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 3    INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 4   INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 5   INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 6    INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 7    INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 8    INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 9   INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 10   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 11   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 12  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 13   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 14  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 15  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 16   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 17   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 18   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 19  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 20   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 21   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 22  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 23   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 24  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 25  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 26   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 27   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 28   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 29  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 30   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 31   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 32  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 33   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 34  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 35  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 36   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 37   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 38   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 39  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 40   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 41   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 42  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 43   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 44  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 45  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 46   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 47   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 48   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 49  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 50   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 51   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 52  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 53   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 54  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 55  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 56   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 57   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 58   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 59  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 60   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 61   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 62  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 63   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 64  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 65  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 66   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 67   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 68   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 69  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 70   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 71   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 72  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 73   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 74  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 75  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 76   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 77   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 78   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 79  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 80   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 81   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 82  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 83   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 84  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 85  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 86   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 87   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 88   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 89  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 90   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 91   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 92  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 93   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 94  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 95  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 96   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 97   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 98   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 99  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 100  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 101  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 102 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 103  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 104 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 105 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 106  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 107  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 108  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 109 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 110  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 111  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 112 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 113  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 114 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 115 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 116  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 117  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 118  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 119 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 120  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 121  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 122 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 123  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 124 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 125 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 126  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 127  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 128  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 129 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 130  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 131  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 132 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 133  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 134 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 135 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 136  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 137  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 138  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 139 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 140  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 141  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 142  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 143 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 144 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 145  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 146  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 147 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 148 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 149 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 150 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 151  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 152  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 153  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 154  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 155  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 156  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 157 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 158 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 159  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 160  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 161  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 162  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 163 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 164 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 165  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 166  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 167 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 168 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 169 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 170 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 171  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 172  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 173  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 174  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 175  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 176  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 177 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 178 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 179  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 180  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 181  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 182  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 183 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 184 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 185  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 186  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 187 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 188 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 189 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 190 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 191  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 192  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 193  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 194  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 195  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 196  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 197 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 198 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 199  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 200  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 201  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 202  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 203 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 204 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 205  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 206  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 207 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 208 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 209 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 210 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 211  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 212  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 213  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 214  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 215  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 216  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 217 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 218 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 219  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 220  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 221  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 222 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 223  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 224 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 225 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 226  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 227  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 228  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 229 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 230  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 231  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 232 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 233  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 234 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 235 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 236  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 237  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 238  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 239 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 240  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 241  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 242 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 243  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 244 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 245 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 246  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 247  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 248  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 249 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 250  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 251  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 252 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 253  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 254 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 255 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 256  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 257  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 258  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 259 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 260  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 261  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 262 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 263  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 264 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 265 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 266  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 267  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 268  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 269 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 270  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 271  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 272 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 273  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 274 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 275 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 276  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 277  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 278  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 279 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 280  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 281  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 282 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 283  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 284 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 285 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 286  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 287  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 288  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 289 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 290  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 291  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 292 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 293  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 294 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 295 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 296  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 297  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 298  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 299 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 300  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 301  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 302 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 303  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 304 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 305 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 306  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 307  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 308  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 309 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 310  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 311  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 312 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 313  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 314 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 315 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 316  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 317  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 318  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 319 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 320  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 321  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 322 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 323  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 324 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 325 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 326  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 327  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 328  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 329 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 330  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 331  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 332 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 333  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 334 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 335 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 336  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 337  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 338  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 339 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 340  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 341  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 342 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 343  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 344 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 345 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 346  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 347  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 348  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 349 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 350  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 351  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 352 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 353  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 354 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 355 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 356  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 357  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 358  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 359 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 360  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 361  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 362  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 363 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 364 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 365  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 366  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 367 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 368 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 369 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 370 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 371  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 372  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 373  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 374  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 375  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 376  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 377 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 378 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 379  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 380  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 381  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 382  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 383 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 384 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 385  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 386  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 387 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 388 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 389 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 390 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 391  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 392  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 393  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 394  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 395  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 396  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 397 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 398 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 399  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 400  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 401  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 402  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 403 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 404 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 405  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 406  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 407 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 408 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 409 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 410 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 411  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 412  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 413  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 414  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 415  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 416  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 417 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 418 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 419  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 420  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 421  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 422  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 423 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 424 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 425  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 426  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 427 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 428 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 429 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 430 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 431  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 432  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 433  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 434  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 435  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 436  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 437 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 438 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 439  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 440  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 441  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 442 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 443  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 444 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 445 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 446  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 447  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 448  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 449 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 450  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 451  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 452 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 453  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 454 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 455 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 456  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 457  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 458  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 459 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 460  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 461  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 462 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 463  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 464 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 465 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 466  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 467  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 468  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 469 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 470  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 471  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 472 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 473  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 474 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 475 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 476  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 477  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 478  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 479 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 480  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 481  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 482 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 483  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 484 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 485 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 486  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 487  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 488  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 489 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 490  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 491  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 492 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 493  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 494 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 495 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 496  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 497  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 498  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 499 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 500  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 501  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 502 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 503  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 504 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 505 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 506  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 507  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 508  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 509 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 510  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 511  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 512 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 513  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 514 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 515 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 516  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 517  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 518  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 519 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 520  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 521  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 522 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 523  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 524 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 525 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 526  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 527  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 528  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 529 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 530  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 531  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 532 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 533  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 534 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 535 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 536  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 537  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 538  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 539 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 540  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 541  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 542 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 543  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 544 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 545 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 546  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 547  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 548  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 549 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 550  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 551  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 552 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 553  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 554 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 555 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 556  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 557  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 558  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 559 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 560  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 561  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 562 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 563  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 564 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 565 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 566  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 567  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 568  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 569 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 570  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 571  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 572 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 573  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 574 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 575 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 576  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 577  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 578  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 579 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 580  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 581  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 582  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 583 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 584 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 585  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 586  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 587 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 588 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 589 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 590 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 591  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 592  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 593  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 594  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 595  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 596  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 597 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 598 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 599  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 600  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 601  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 602  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 603 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 604 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 605  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 606  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 607 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 608 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 609 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 610 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 611  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 612  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 613  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 614  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 615  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 616  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 617 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 618 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 619  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 620  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 621  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 622  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 623 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 624 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 625  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 626  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 627 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 628 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 629 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 630 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 631  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 632  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 633  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 634  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 635  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 636  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 637 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 638 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 639  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 640  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 641  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 642  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 643 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 644 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 645  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 646  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 647 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 648 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 649 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 650 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 651  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 652  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 653  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 654  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 655  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 656  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 657 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 658 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 659  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 660  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #>             TRT01P         TRT01A         TRT02P         TRT02A       REGION1 #> 1        A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 2        A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 3        A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 4        A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 5   C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 6        A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 7        A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 8   C: Combination C: Combination      A: Drug X C: Combination South America #> 9   C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 10  C: Combination C: Combination      A: Drug X C: Combination South America #> 11       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 12       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 13       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 14       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 15  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 16       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 17       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 18  C: Combination C: Combination      A: Drug X C: Combination South America #> 19  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 20  C: Combination C: Combination      A: Drug X C: Combination South America #> 21       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 22       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 23       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 24       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 25  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 26       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 27       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 28  C: Combination C: Combination      A: Drug X C: Combination South America #> 29  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 30  C: Combination C: Combination      A: Drug X C: Combination South America #> 31       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 32       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 33       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 34       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 35  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 36       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 37       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 38  C: Combination C: Combination      A: Drug X C: Combination South America #> 39  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 40  C: Combination C: Combination      A: Drug X C: Combination South America #> 41       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 42       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 43       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 44       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 45  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 46       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 47       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 48  C: Combination C: Combination      A: Drug X C: Combination South America #> 49  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 50  C: Combination C: Combination      A: Drug X C: Combination South America #> 51       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 52       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 53       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 54       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 55  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 56       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 57       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 58  C: Combination C: Combination      A: Drug X C: Combination South America #> 59  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 60  C: Combination C: Combination      A: Drug X C: Combination South America #> 61       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 62       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 63       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 64       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 65  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 66       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 67       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 68  C: Combination C: Combination      A: Drug X C: Combination South America #> 69  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 70  C: Combination C: Combination      A: Drug X C: Combination South America #> 71       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 72       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 73       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 74       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 75  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 76       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 77       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 78  C: Combination C: Combination      A: Drug X C: Combination South America #> 79  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 80  C: Combination C: Combination      A: Drug X C: Combination South America #> 81       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 82       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 83       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 84       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 85  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 86       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 87       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 88  C: Combination C: Combination      A: Drug X C: Combination South America #> 89  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 90  C: Combination C: Combination      A: Drug X C: Combination South America #> 91       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 92       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 93       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 94       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 95  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 96       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 97       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 98  C: Combination C: Combination      A: Drug X C: Combination South America #> 99  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 100 C: Combination C: Combination      A: Drug X C: Combination South America #> 101      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 102      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 103      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 104      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 105 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 106      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 107      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 108 C: Combination C: Combination      A: Drug X C: Combination South America #> 109 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 110 C: Combination C: Combination      A: Drug X C: Combination South America #> 111      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 112      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 113      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 114      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 115 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 116      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 117      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 118 C: Combination C: Combination      A: Drug X C: Combination South America #> 119 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 120 C: Combination C: Combination      A: Drug X C: Combination South America #> 121      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 122      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 123      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 124      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 125 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 126      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 127      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 128 C: Combination C: Combination      A: Drug X C: Combination South America #> 129 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 130 C: Combination C: Combination      A: Drug X C: Combination South America #> 131      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 132      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 133      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 134      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 135 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 136      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 137      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 138 C: Combination C: Combination      A: Drug X C: Combination South America #> 139 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 140 C: Combination C: Combination      A: Drug X C: Combination South America #> 141      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 142      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 143      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 144      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 145      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 146      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 147      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 148      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 149 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 150 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 151      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 152      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 153      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 154      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 155 C: Combination C: Combination      A: Drug X C: Combination South America #> 156 C: Combination C: Combination      A: Drug X C: Combination South America #> 157 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 158 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 159 C: Combination C: Combination      A: Drug X C: Combination South America #> 160 C: Combination C: Combination      A: Drug X C: Combination South America #> 161      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 162      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 163      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 164      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 165      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 166      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 167      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 168      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 169 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 170 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 171      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 172      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 173      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 174      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 175 C: Combination C: Combination      A: Drug X C: Combination South America #> 176 C: Combination C: Combination      A: Drug X C: Combination South America #> 177 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 178 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 179 C: Combination C: Combination      A: Drug X C: Combination South America #> 180 C: Combination C: Combination      A: Drug X C: Combination South America #> 181      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 182      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 183      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 184      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 185      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 186      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 187      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 188      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 189 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 190 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 191      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 192      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 193      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 194      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 195 C: Combination C: Combination      A: Drug X C: Combination South America #> 196 C: Combination C: Combination      A: Drug X C: Combination South America #> 197 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 198 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 199 C: Combination C: Combination      A: Drug X C: Combination South America #> 200 C: Combination C: Combination      A: Drug X C: Combination South America #> 201      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 202      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 203      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 204      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 205      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 206      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 207      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 208      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 209 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 210 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 211      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 212      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 213      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 214      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 215 C: Combination C: Combination      A: Drug X C: Combination South America #> 216 C: Combination C: Combination      A: Drug X C: Combination South America #> 217 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 218 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 219 C: Combination C: Combination      A: Drug X C: Combination South America #> 220 C: Combination C: Combination      A: Drug X C: Combination South America #> 221      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 222      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 223      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 224      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 225 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 226      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 227      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 228 C: Combination C: Combination      A: Drug X C: Combination South America #> 229 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 230 C: Combination C: Combination      A: Drug X C: Combination South America #> 231      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 232      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 233      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 234      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 235 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 236      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 237      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 238 C: Combination C: Combination      A: Drug X C: Combination South America #> 239 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 240 C: Combination C: Combination      A: Drug X C: Combination South America #> 241      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 242      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 243      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 244      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 245 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 246      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 247      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 248 C: Combination C: Combination      A: Drug X C: Combination South America #> 249 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 250 C: Combination C: Combination      A: Drug X C: Combination South America #> 251      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 252      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 253      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 254      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 255 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 256      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 257      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 258 C: Combination C: Combination      A: Drug X C: Combination South America #> 259 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 260 C: Combination C: Combination      A: Drug X C: Combination South America #> 261      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 262      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 263      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 264      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 265 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 266      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 267      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 268 C: Combination C: Combination      A: Drug X C: Combination South America #> 269 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 270 C: Combination C: Combination      A: Drug X C: Combination South America #> 271      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 272      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 273      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 274      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 275 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 276      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 277      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 278 C: Combination C: Combination      A: Drug X C: Combination South America #> 279 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 280 C: Combination C: Combination      A: Drug X C: Combination South America #> 281      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 282      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 283      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 284      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 285 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 286      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 287      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 288 C: Combination C: Combination      A: Drug X C: Combination South America #> 289 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 290 C: Combination C: Combination      A: Drug X C: Combination South America #> 291      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 292      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 293      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 294      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 295 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 296      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 297      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 298 C: Combination C: Combination      A: Drug X C: Combination South America #> 299 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 300 C: Combination C: Combination      A: Drug X C: Combination South America #> 301      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 302      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 303      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 304      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 305 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 306      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 307      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 308 C: Combination C: Combination      A: Drug X C: Combination South America #> 309 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 310 C: Combination C: Combination      A: Drug X C: Combination South America #> 311      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 312      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 313      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 314      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 315 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 316      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 317      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 318 C: Combination C: Combination      A: Drug X C: Combination South America #> 319 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 320 C: Combination C: Combination      A: Drug X C: Combination South America #> 321      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 322      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 323      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 324      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 325 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 326      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 327      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 328 C: Combination C: Combination      A: Drug X C: Combination South America #> 329 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 330 C: Combination C: Combination      A: Drug X C: Combination South America #> 331      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 332      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 333      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 334      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 335 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 336      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 337      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 338 C: Combination C: Combination      A: Drug X C: Combination South America #> 339 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 340 C: Combination C: Combination      A: Drug X C: Combination South America #> 341      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 342      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 343      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 344      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 345 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 346      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 347      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 348 C: Combination C: Combination      A: Drug X C: Combination South America #> 349 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 350 C: Combination C: Combination      A: Drug X C: Combination South America #> 351      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 352      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 353      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 354      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 355 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 356      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 357      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 358 C: Combination C: Combination      A: Drug X C: Combination South America #> 359 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 360 C: Combination C: Combination      A: Drug X C: Combination South America #> 361      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 362      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 363      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 364      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 365      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 366      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 367      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 368      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 369 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 370 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 371      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 372      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 373      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 374      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 375 C: Combination C: Combination      A: Drug X C: Combination South America #> 376 C: Combination C: Combination      A: Drug X C: Combination South America #> 377 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 378 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 379 C: Combination C: Combination      A: Drug X C: Combination South America #> 380 C: Combination C: Combination      A: Drug X C: Combination South America #> 381      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 382      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 383      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 384      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 385      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 386      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 387      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 388      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 389 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 390 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 391      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 392      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 393      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 394      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 395 C: Combination C: Combination      A: Drug X C: Combination South America #> 396 C: Combination C: Combination      A: Drug X C: Combination South America #> 397 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 398 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 399 C: Combination C: Combination      A: Drug X C: Combination South America #> 400 C: Combination C: Combination      A: Drug X C: Combination South America #> 401      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 402      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 403      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 404      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 405      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 406      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 407      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 408      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 409 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 410 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 411      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 412      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 413      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 414      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 415 C: Combination C: Combination      A: Drug X C: Combination South America #> 416 C: Combination C: Combination      A: Drug X C: Combination South America #> 417 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 418 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 419 C: Combination C: Combination      A: Drug X C: Combination South America #> 420 C: Combination C: Combination      A: Drug X C: Combination South America #> 421      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 422      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 423      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 424      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 425      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 426      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 427      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 428      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 429 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 430 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 431      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 432      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 433      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 434      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 435 C: Combination C: Combination      A: Drug X C: Combination South America #> 436 C: Combination C: Combination      A: Drug X C: Combination South America #> 437 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 438 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 439 C: Combination C: Combination      A: Drug X C: Combination South America #> 440 C: Combination C: Combination      A: Drug X C: Combination South America #> 441      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 442      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 443      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 444      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 445 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 446      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 447      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 448 C: Combination C: Combination      A: Drug X C: Combination South America #> 449 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 450 C: Combination C: Combination      A: Drug X C: Combination South America #> 451      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 452      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 453      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 454      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 455 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 456      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 457      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 458 C: Combination C: Combination      A: Drug X C: Combination South America #> 459 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 460 C: Combination C: Combination      A: Drug X C: Combination South America #> 461      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 462      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 463      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 464      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 465 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 466      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 467      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 468 C: Combination C: Combination      A: Drug X C: Combination South America #> 469 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 470 C: Combination C: Combination      A: Drug X C: Combination South America #> 471      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 472      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 473      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 474      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 475 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 476      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 477      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 478 C: Combination C: Combination      A: Drug X C: Combination South America #> 479 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 480 C: Combination C: Combination      A: Drug X C: Combination South America #> 481      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 482      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 483      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 484      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 485 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 486      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 487      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 488 C: Combination C: Combination      A: Drug X C: Combination South America #> 489 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 490 C: Combination C: Combination      A: Drug X C: Combination South America #> 491      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 492      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 493      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 494      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 495 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 496      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 497      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 498 C: Combination C: Combination      A: Drug X C: Combination South America #> 499 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 500 C: Combination C: Combination      A: Drug X C: Combination South America #> 501      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 502      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 503      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 504      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 505 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 506      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 507      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 508 C: Combination C: Combination      A: Drug X C: Combination South America #> 509 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 510 C: Combination C: Combination      A: Drug X C: Combination South America #> 511      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 512      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 513      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 514      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 515 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 516      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 517      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 518 C: Combination C: Combination      A: Drug X C: Combination South America #> 519 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 520 C: Combination C: Combination      A: Drug X C: Combination South America #> 521      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 522      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 523      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 524      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 525 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 526      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 527      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 528 C: Combination C: Combination      A: Drug X C: Combination South America #> 529 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 530 C: Combination C: Combination      A: Drug X C: Combination South America #> 531      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 532      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 533      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 534      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 535 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 536      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 537      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 538 C: Combination C: Combination      A: Drug X C: Combination South America #> 539 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 540 C: Combination C: Combination      A: Drug X C: Combination South America #> 541      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 542      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 543      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 544      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 545 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 546      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 547      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 548 C: Combination C: Combination      A: Drug X C: Combination South America #> 549 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 550 C: Combination C: Combination      A: Drug X C: Combination South America #> 551      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 552      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 553      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 554      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 555 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 556      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 557      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 558 C: Combination C: Combination      A: Drug X C: Combination South America #> 559 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 560 C: Combination C: Combination      A: Drug X C: Combination South America #> 561      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 562      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 563      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 564      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 565 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 566      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 567      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 568 C: Combination C: Combination      A: Drug X C: Combination South America #> 569 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 570 C: Combination C: Combination      A: Drug X C: Combination South America #> 571      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 572      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 573      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 574      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 575 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 576      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 577      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 578 C: Combination C: Combination      A: Drug X C: Combination South America #> 579 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 580 C: Combination C: Combination      A: Drug X C: Combination South America #> 581      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 582      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 583      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 584      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 585      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 586      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 587      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 588      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 589 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 590 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 591      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 592      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 593      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 594      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 595 C: Combination C: Combination      A: Drug X C: Combination South America #> 596 C: Combination C: Combination      A: Drug X C: Combination South America #> 597 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 598 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 599 C: Combination C: Combination      A: Drug X C: Combination South America #> 600 C: Combination C: Combination      A: Drug X C: Combination South America #> 601      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 602      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 603      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 604      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 605      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 606      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 607      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 608      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 609 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 610 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 611      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 612      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 613      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 614      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 615 C: Combination C: Combination      A: Drug X C: Combination South America #> 616 C: Combination C: Combination      A: Drug X C: Combination South America #> 617 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 618 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 619 C: Combination C: Combination      A: Drug X C: Combination South America #> 620 C: Combination C: Combination      A: Drug X C: Combination South America #> 621      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 622      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 623      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 624      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 625      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 626      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 627      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 628      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 629 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 630 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 631      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 632      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 633      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 634      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 635 C: Combination C: Combination      A: Drug X C: Combination South America #> 636 C: Combination C: Combination      A: Drug X C: Combination South America #> 637 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 638 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 639 C: Combination C: Combination      A: Drug X C: Combination South America #> 640 C: Combination C: Combination      A: Drug X C: Combination South America #> 641      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 642      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 643      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 644      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 645      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 646      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 647      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 648      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 649 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 650 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 651      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 652      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 653      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 654      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 655 C: Combination C: Combination      A: Drug X C: Combination South America #> 656 C: Combination C: Combination      A: Drug X C: Combination South America #> 657 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 658 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 659 C: Combination C: Combination      A: Drug X C: Combination South America #> 660 C: Combination C: Combination      A: Drug X C: Combination South America #>     STRATA1 STRATA2    BMRKR1 BMRKR2 ITTFL SAFFL BMEASIFL BEP01FL AEWITHFL #> 1         B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 2         C      S1  7.254058    LOW     Y     Y        Y       N        N #> 3         B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 4         C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 5         B      S1  8.926907    LOW     Y     Y        N       N        N #> 6         A      S2  2.619796    LOW     Y     Y        Y       N        N #> 7         B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 8         A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 9         B      S1  8.926907    LOW     Y     Y        N       N        N #> 10        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 11        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 12        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 13        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 14        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 15        B      S1  8.926907    LOW     Y     Y        N       N        N #> 16        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 17        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 18        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 19        B      S1  8.926907    LOW     Y     Y        N       N        N #> 20        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 21        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 22        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 23        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 24        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 25        B      S1  8.926907    LOW     Y     Y        N       N        N #> 26        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 27        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 28        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 29        B      S1  8.926907    LOW     Y     Y        N       N        N #> 30        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 31        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 32        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 33        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 34        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 35        B      S1  8.926907    LOW     Y     Y        N       N        N #> 36        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 37        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 38        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 39        B      S1  8.926907    LOW     Y     Y        N       N        N #> 40        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 41        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 42        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 43        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 44        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 45        B      S1  8.926907    LOW     Y     Y        N       N        N #> 46        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 47        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 48        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 49        B      S1  8.926907    LOW     Y     Y        N       N        N #> 50        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 51        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 52        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 53        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 54        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 55        B      S1  8.926907    LOW     Y     Y        N       N        N #> 56        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 57        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 58        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 59        B      S1  8.926907    LOW     Y     Y        N       N        N #> 60        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 61        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 62        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 63        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 64        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 65        B      S1  8.926907    LOW     Y     Y        N       N        N #> 66        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 67        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 68        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 69        B      S1  8.926907    LOW     Y     Y        N       N        N #> 70        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 71        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 72        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 73        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 74        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 75        B      S1  8.926907    LOW     Y     Y        N       N        N #> 76        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 77        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 78        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 79        B      S1  8.926907    LOW     Y     Y        N       N        N #> 80        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 81        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 82        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 83        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 84        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 85        B      S1  8.926907    LOW     Y     Y        N       N        N #> 86        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 87        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 88        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 89        B      S1  8.926907    LOW     Y     Y        N       N        N #> 90        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 91        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 92        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 93        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 94        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 95        B      S1  8.926907    LOW     Y     Y        N       N        N #> 96        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 97        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 98        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 99        B      S1  8.926907    LOW     Y     Y        N       N        N #> 100       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 101       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 102       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 103       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 104       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 105       B      S1  8.926907    LOW     Y     Y        N       N        N #> 106       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 107       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 108       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 109       B      S1  8.926907    LOW     Y     Y        N       N        N #> 110       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 111       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 112       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 113       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 114       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 115       B      S1  8.926907    LOW     Y     Y        N       N        N #> 116       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 117       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 118       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 119       B      S1  8.926907    LOW     Y     Y        N       N        N #> 120       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 121       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 122       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 123       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 124       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 125       B      S1  8.926907    LOW     Y     Y        N       N        N #> 126       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 127       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 128       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 129       B      S1  8.926907    LOW     Y     Y        N       N        N #> 130       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 131       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 132       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 133       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 134       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 135       B      S1  8.926907    LOW     Y     Y        N       N        N #> 136       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 137       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 138       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 139       B      S1  8.926907    LOW     Y     Y        N       N        N #> 140       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 141       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 142       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 143       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 144       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 145       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 146       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 147       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 148       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 149       B      S1  8.926907    LOW     Y     Y        N       N        N #> 150       B      S1  8.926907    LOW     Y     Y        N       N        N #> 151       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 152       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 153       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 154       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 155       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 156       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 157       B      S1  8.926907    LOW     Y     Y        N       N        N #> 158       B      S1  8.926907    LOW     Y     Y        N       N        N #> 159       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 160       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 161       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 162       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 163       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 164       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 165       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 166       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 167       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 168       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 169       B      S1  8.926907    LOW     Y     Y        N       N        N #> 170       B      S1  8.926907    LOW     Y     Y        N       N        N #> 171       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 172       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 173       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 174       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 175       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 176       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 177       B      S1  8.926907    LOW     Y     Y        N       N        N #> 178       B      S1  8.926907    LOW     Y     Y        N       N        N #> 179       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 180       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 181       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 182       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 183       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 184       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 185       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 186       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 187       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 188       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 189       B      S1  8.926907    LOW     Y     Y        N       N        N #> 190       B      S1  8.926907    LOW     Y     Y        N       N        N #> 191       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 192       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 193       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 194       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 195       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 196       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 197       B      S1  8.926907    LOW     Y     Y        N       N        N #> 198       B      S1  8.926907    LOW     Y     Y        N       N        N #> 199       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 200       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 201       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 202       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 203       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 204       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 205       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 206       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 207       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 208       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 209       B      S1  8.926907    LOW     Y     Y        N       N        N #> 210       B      S1  8.926907    LOW     Y     Y        N       N        N #> 211       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 212       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 213       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 214       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 215       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 216       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 217       B      S1  8.926907    LOW     Y     Y        N       N        N #> 218       B      S1  8.926907    LOW     Y     Y        N       N        N #> 219       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 220       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 221       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 222       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 223       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 224       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 225       B      S1  8.926907    LOW     Y     Y        N       N        N #> 226       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 227       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 228       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 229       B      S1  8.926907    LOW     Y     Y        N       N        N #> 230       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 231       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 232       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 233       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 234       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 235       B      S1  8.926907    LOW     Y     Y        N       N        N #> 236       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 237       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 238       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 239       B      S1  8.926907    LOW     Y     Y        N       N        N #> 240       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 241       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 242       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 243       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 244       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 245       B      S1  8.926907    LOW     Y     Y        N       N        N #> 246       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 247       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 248       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 249       B      S1  8.926907    LOW     Y     Y        N       N        N #> 250       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 251       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 252       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 253       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 254       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 255       B      S1  8.926907    LOW     Y     Y        N       N        N #> 256       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 257       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 258       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 259       B      S1  8.926907    LOW     Y     Y        N       N        N #> 260       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 261       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 262       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 263       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 264       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 265       B      S1  8.926907    LOW     Y     Y        N       N        N #> 266       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 267       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 268       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 269       B      S1  8.926907    LOW     Y     Y        N       N        N #> 270       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 271       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 272       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 273       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 274       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 275       B      S1  8.926907    LOW     Y     Y        N       N        N #> 276       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 277       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 278       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 279       B      S1  8.926907    LOW     Y     Y        N       N        N #> 280       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 281       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 282       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 283       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 284       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 285       B      S1  8.926907    LOW     Y     Y        N       N        N #> 286       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 287       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 288       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 289       B      S1  8.926907    LOW     Y     Y        N       N        N #> 290       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 291       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 292       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 293       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 294       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 295       B      S1  8.926907    LOW     Y     Y        N       N        N #> 296       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 297       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 298       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 299       B      S1  8.926907    LOW     Y     Y        N       N        N #> 300       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 301       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 302       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 303       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 304       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 305       B      S1  8.926907    LOW     Y     Y        N       N        N #> 306       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 307       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 308       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 309       B      S1  8.926907    LOW     Y     Y        N       N        N #> 310       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 311       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 312       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 313       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 314       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 315       B      S1  8.926907    LOW     Y     Y        N       N        N #> 316       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 317       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 318       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 319       B      S1  8.926907    LOW     Y     Y        N       N        N #> 320       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 321       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 322       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 323       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 324       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 325       B      S1  8.926907    LOW     Y     Y        N       N        N #> 326       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 327       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 328       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 329       B      S1  8.926907    LOW     Y     Y        N       N        N #> 330       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 331       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 332       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 333       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 334       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 335       B      S1  8.926907    LOW     Y     Y        N       N        N #> 336       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 337       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 338       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 339       B      S1  8.926907    LOW     Y     Y        N       N        N #> 340       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 341       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 342       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 343       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 344       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 345       B      S1  8.926907    LOW     Y     Y        N       N        N #> 346       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 347       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 348       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 349       B      S1  8.926907    LOW     Y     Y        N       N        N #> 350       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 351       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 352       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 353       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 354       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 355       B      S1  8.926907    LOW     Y     Y        N       N        N #> 356       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 357       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 358       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 359       B      S1  8.926907    LOW     Y     Y        N       N        N #> 360       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 361       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 362       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 363       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 364       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 365       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 366       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 367       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 368       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 369       B      S1  8.926907    LOW     Y     Y        N       N        N #> 370       B      S1  8.926907    LOW     Y     Y        N       N        N #> 371       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 372       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 373       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 374       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 375       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 376       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 377       B      S1  8.926907    LOW     Y     Y        N       N        N #> 378       B      S1  8.926907    LOW     Y     Y        N       N        N #> 379       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 380       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 381       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 382       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 383       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 384       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 385       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 386       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 387       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 388       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 389       B      S1  8.926907    LOW     Y     Y        N       N        N #> 390       B      S1  8.926907    LOW     Y     Y        N       N        N #> 391       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 392       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 393       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 394       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 395       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 396       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 397       B      S1  8.926907    LOW     Y     Y        N       N        N #> 398       B      S1  8.926907    LOW     Y     Y        N       N        N #> 399       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 400       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 401       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 402       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 403       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 404       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 405       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 406       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 407       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 408       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 409       B      S1  8.926907    LOW     Y     Y        N       N        N #> 410       B      S1  8.926907    LOW     Y     Y        N       N        N #> 411       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 412       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 413       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 414       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 415       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 416       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 417       B      S1  8.926907    LOW     Y     Y        N       N        N #> 418       B      S1  8.926907    LOW     Y     Y        N       N        N #> 419       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 420       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 421       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 422       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 423       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 424       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 425       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 426       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 427       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 428       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 429       B      S1  8.926907    LOW     Y     Y        N       N        N #> 430       B      S1  8.926907    LOW     Y     Y        N       N        N #> 431       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 432       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 433       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 434       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 435       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 436       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 437       B      S1  8.926907    LOW     Y     Y        N       N        N #> 438       B      S1  8.926907    LOW     Y     Y        N       N        N #> 439       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 440       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 441       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 442       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 443       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 444       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 445       B      S1  8.926907    LOW     Y     Y        N       N        N #> 446       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 447       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 448       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 449       B      S1  8.926907    LOW     Y     Y        N       N        N #> 450       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 451       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 452       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 453       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 454       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 455       B      S1  8.926907    LOW     Y     Y        N       N        N #> 456       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 457       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 458       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 459       B      S1  8.926907    LOW     Y     Y        N       N        N #> 460       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 461       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 462       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 463       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 464       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 465       B      S1  8.926907    LOW     Y     Y        N       N        N #> 466       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 467       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 468       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 469       B      S1  8.926907    LOW     Y     Y        N       N        N #> 470       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 471       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 472       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 473       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 474       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 475       B      S1  8.926907    LOW     Y     Y        N       N        N #> 476       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 477       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 478       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 479       B      S1  8.926907    LOW     Y     Y        N       N        N #> 480       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 481       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 482       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 483       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 484       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 485       B      S1  8.926907    LOW     Y     Y        N       N        N #> 486       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 487       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 488       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 489       B      S1  8.926907    LOW     Y     Y        N       N        N #> 490       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 491       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 492       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 493       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 494       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 495       B      S1  8.926907    LOW     Y     Y        N       N        N #> 496       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 497       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 498       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 499       B      S1  8.926907    LOW     Y     Y        N       N        N #> 500       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 501       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 502       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 503       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 504       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 505       B      S1  8.926907    LOW     Y     Y        N       N        N #> 506       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 507       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 508       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 509       B      S1  8.926907    LOW     Y     Y        N       N        N #> 510       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 511       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 512       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 513       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 514       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 515       B      S1  8.926907    LOW     Y     Y        N       N        N #> 516       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 517       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 518       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 519       B      S1  8.926907    LOW     Y     Y        N       N        N #> 520       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 521       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 522       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 523       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 524       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 525       B      S1  8.926907    LOW     Y     Y        N       N        N #> 526       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 527       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 528       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 529       B      S1  8.926907    LOW     Y     Y        N       N        N #> 530       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 531       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 532       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 533       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 534       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 535       B      S1  8.926907    LOW     Y     Y        N       N        N #> 536       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 537       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 538       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 539       B      S1  8.926907    LOW     Y     Y        N       N        N #> 540       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 541       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 542       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 543       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 544       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 545       B      S1  8.926907    LOW     Y     Y        N       N        N #> 546       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 547       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 548       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 549       B      S1  8.926907    LOW     Y     Y        N       N        N #> 550       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 551       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 552       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 553       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 554       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 555       B      S1  8.926907    LOW     Y     Y        N       N        N #> 556       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 557       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 558       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 559       B      S1  8.926907    LOW     Y     Y        N       N        N #> 560       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 561       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 562       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 563       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 564       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 565       B      S1  8.926907    LOW     Y     Y        N       N        N #> 566       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 567       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 568       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 569       B      S1  8.926907    LOW     Y     Y        N       N        N #> 570       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 571       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 572       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 573       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 574       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 575       B      S1  8.926907    LOW     Y     Y        N       N        N #> 576       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 577       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 578       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 579       B      S1  8.926907    LOW     Y     Y        N       N        N #> 580       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 581       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 582       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 583       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 584       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 585       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 586       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 587       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 588       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 589       B      S1  8.926907    LOW     Y     Y        N       N        N #> 590       B      S1  8.926907    LOW     Y     Y        N       N        N #> 591       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 592       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 593       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 594       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 595       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 596       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 597       B      S1  8.926907    LOW     Y     Y        N       N        N #> 598       B      S1  8.926907    LOW     Y     Y        N       N        N #> 599       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 600       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 601       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 602       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 603       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 604       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 605       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 606       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 607       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 608       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 609       B      S1  8.926907    LOW     Y     Y        N       N        N #> 610       B      S1  8.926907    LOW     Y     Y        N       N        N #> 611       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 612       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 613       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 614       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 615       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 616       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 617       B      S1  8.926907    LOW     Y     Y        N       N        N #> 618       B      S1  8.926907    LOW     Y     Y        N       N        N #> 619       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 620       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 621       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 622       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 623       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 624       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 625       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 626       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 627       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 628       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 629       B      S1  8.926907    LOW     Y     Y        N       N        N #> 630       B      S1  8.926907    LOW     Y     Y        N       N        N #> 631       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 632       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 633       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 634       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 635       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 636       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 637       B      S1  8.926907    LOW     Y     Y        N       N        N #> 638       B      S1  8.926907    LOW     Y     Y        N       N        N #> 639       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 640       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 641       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 642       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 643       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 644       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 645       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 646       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 647       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 648       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 649       B      S1  8.926907    LOW     Y     Y        N       N        N #> 650       B      S1  8.926907    LOW     Y     Y        N       N        N #> 651       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 652       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 653       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 654       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 655       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 656       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 657       B      S1  8.926907    LOW     Y     Y        N       N        N #> 658       B      S1  8.926907    LOW     Y     Y        N       N        N #> 659       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 660       A      S1  6.922043   HIGH     Y     Y        Y       N        N #>         RANDDT             TRTSDTM             TRTEDTM           TRT01SDTM #> 1   2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 2   2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 3   2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 4   2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 5   2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 6   2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 7   2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 8   2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 9   2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 10  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 11  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 12  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 13  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 14  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 15  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 16  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 17  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 18  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 19  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 20  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 21  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 22  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 23  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 24  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 25  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 26  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 27  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 28  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 29  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 30  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 31  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 32  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 33  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 34  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 35  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 36  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 37  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 38  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 39  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 40  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 41  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 42  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 43  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 44  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 45  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 46  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 47  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 48  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 49  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 50  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 51  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 52  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 53  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 54  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 55  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 56  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 57  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 58  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 59  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 60  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 61  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 62  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 63  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 64  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 65  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 66  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 67  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 68  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 69  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 70  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 71  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 72  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 73  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 74  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 75  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 76  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 77  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 78  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 79  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 80  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 81  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 82  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 83  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 84  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 85  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 86  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 87  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 88  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 89  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 90  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 91  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 92  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 93  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 94  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 95  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 96  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 97  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 98  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 99  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 100 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 101 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 102 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 103 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 104 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 105 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 106 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 107 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 108 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 109 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 110 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 111 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 112 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 113 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 114 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 115 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 116 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 117 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 118 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 119 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 120 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 121 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 122 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 123 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 124 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 125 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 126 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 127 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 128 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 129 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 130 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 131 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 132 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 133 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 134 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 135 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 136 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 137 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 138 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 139 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 140 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 141 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 142 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 143 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 144 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 145 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 146 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 147 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 148 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 149 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 150 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 151 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 152 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 153 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 154 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 155 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 156 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 157 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 158 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 159 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 160 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 161 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 162 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 163 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 164 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 165 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 166 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 167 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 168 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 169 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 170 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 171 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 172 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 173 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 174 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 175 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 176 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 177 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 178 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 179 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 180 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 181 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 182 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 183 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 184 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 185 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 186 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 187 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 188 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 189 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 190 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 191 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 192 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 193 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 194 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 195 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 196 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 197 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 198 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 199 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 200 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 201 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 202 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 203 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 204 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 205 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 206 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 207 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 208 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 209 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 210 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 211 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 212 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 213 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 214 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 215 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 216 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 217 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 218 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 219 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 220 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 221 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 222 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 223 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 224 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 225 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 226 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 227 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 228 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 229 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 230 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 231 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 232 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 233 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 234 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 235 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 236 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 237 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 238 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 239 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 240 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 241 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 242 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 243 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 244 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 245 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 246 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 247 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 248 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 249 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 250 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 251 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 252 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 253 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 254 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 255 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 256 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 257 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 258 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 259 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 260 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 261 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 262 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 263 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 264 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 265 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 266 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 267 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 268 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 269 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 270 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 271 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 272 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 273 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 274 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 275 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 276 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 277 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 278 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 279 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 280 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 281 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 282 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 283 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 284 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 285 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 286 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 287 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 288 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 289 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 290 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 291 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 292 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 293 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 294 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 295 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 296 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 297 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 298 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 299 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 300 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 301 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 302 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 303 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 304 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 305 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 306 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 307 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 308 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 309 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 310 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 311 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 312 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 313 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 314 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 315 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 316 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 317 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 318 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 319 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 320 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 321 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 322 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 323 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 324 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 325 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 326 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 327 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 328 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 329 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 330 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 331 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 332 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 333 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 334 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 335 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 336 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 337 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 338 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 339 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 340 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 341 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 342 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 343 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 344 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 345 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 346 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 347 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 348 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 349 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 350 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 351 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 352 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 353 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 354 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 355 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 356 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 357 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 358 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 359 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 360 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 361 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 362 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 363 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 364 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 365 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 366 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 367 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 368 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 369 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 370 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 371 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 372 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 373 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 374 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 375 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 376 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 377 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 378 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 379 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 380 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 381 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 382 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 383 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 384 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 385 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 386 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 387 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 388 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 389 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 390 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 391 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 392 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 393 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 394 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 395 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 396 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 397 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 398 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 399 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 400 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 401 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 402 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 403 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 404 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 405 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 406 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 407 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 408 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 409 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 410 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 411 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 412 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 413 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 414 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 415 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 416 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 417 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 418 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 419 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 420 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 421 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 422 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 423 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 424 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 425 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 426 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 427 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 428 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 429 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 430 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 431 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 432 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 433 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 434 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 435 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 436 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 437 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 438 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 439 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 440 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 441 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 442 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 443 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 444 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 445 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 446 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 447 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 448 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 449 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 450 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 451 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 452 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 453 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 454 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 455 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 456 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 457 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 458 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 459 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 460 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 461 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 462 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 463 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 464 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 465 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 466 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 467 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 468 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 469 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 470 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 471 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 472 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 473 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 474 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 475 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 476 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 477 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 478 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 479 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 480 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 481 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 482 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 483 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 484 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 485 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 486 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 487 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 488 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 489 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 490 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 491 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 492 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 493 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 494 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 495 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 496 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 497 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 498 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 499 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 500 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 501 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 502 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 503 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 504 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 505 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 506 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 507 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 508 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 509 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 510 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 511 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 512 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 513 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 514 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 515 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 516 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 517 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 518 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 519 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 520 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 521 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 522 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 523 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 524 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 525 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 526 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 527 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 528 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 529 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 530 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 531 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 532 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 533 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 534 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 535 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 536 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 537 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 538 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 539 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 540 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 541 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 542 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 543 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 544 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 545 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 546 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 547 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 548 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 549 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 550 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 551 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 552 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 553 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 554 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 555 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 556 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 557 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 558 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 559 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 560 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 561 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 562 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 563 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 564 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 565 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 566 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 567 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 568 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 569 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 570 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 571 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 572 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 573 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 574 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 575 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 576 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 577 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 578 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 579 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 580 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 581 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 582 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 583 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 584 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 585 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 586 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 587 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 588 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 589 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 590 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 591 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 592 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 593 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 594 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 595 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 596 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 597 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 598 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 599 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 600 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 601 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 602 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 603 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 604 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 605 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 606 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 607 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 608 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 609 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 610 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 611 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 612 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 613 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 614 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 615 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 616 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 617 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 618 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 619 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 620 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 621 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 622 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 623 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 624 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 625 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 626 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 627 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 628 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 629 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 630 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 631 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 632 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 633 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 634 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 635 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 636 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 637 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 638 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 639 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 640 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 641 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 642 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 643 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 644 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 645 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 646 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 647 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 648 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 649 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 650 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 651 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 652 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 653 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 654 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 655 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 656 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 657 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 658 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 659 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 660 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #>               TRT01EDTM           TRT02SDTM           TRT02EDTM #> 1   2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 2   2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 3   2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 4                  <NA>                <NA>                <NA> #> 5   2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 6   2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 7   2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 8   2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 9   2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 10  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 11  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 12  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 13  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 14                 <NA>                <NA>                <NA> #> 15  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 16  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 17  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 18  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 19  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 20  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 21  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 22  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 23  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 24                 <NA>                <NA>                <NA> #> 25  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 26  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 27  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 28  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 29  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 30  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 31  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 32  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 33  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 34                 <NA>                <NA>                <NA> #> 35  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 36  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 37  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 38  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 39  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 40  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 41  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 42  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 43  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 44                 <NA>                <NA>                <NA> #> 45  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 46  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 47  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 48  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 49  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 50  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 51  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 52  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 53  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 54                 <NA>                <NA>                <NA> #> 55  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 56  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 57  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 58  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 59  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 60  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 61  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 62  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 63  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 64                 <NA>                <NA>                <NA> #> 65  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 66  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 67  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 68  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 69  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 70  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 71  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 72  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 73  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 74                 <NA>                <NA>                <NA> #> 75  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 76  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 77  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 78  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 79  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 80  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 81  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 82  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 83  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 84                 <NA>                <NA>                <NA> #> 85  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 86  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 87  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 88  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 89  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 90  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 91  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 92  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 93  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 94                 <NA>                <NA>                <NA> #> 95  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 96  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 97  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 98  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 99  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 100 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 101 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 102 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 103 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 104                <NA>                <NA>                <NA> #> 105 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 106 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 107 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 108 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 109 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 110 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 111 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 112 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 113 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 114                <NA>                <NA>                <NA> #> 115 2020-09-08 14:09:38 2020-09-08 14:09:38 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10:43:53 2024-01-18 16:43:53 #> 131 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 132 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 133 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 134                <NA>                <NA>                <NA> #> 135 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 136 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 137 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 138 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 139 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 140 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 141 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 142 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 143 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 144 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 145 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 146 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 147                <NA>                <NA>                <NA> #> 148                <NA>                <NA>                <NA> #> 149 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 150 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 151 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 152 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 153 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 154 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 155 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 156 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 157 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 158 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 159 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 160 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 161 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 162 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 163 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 164 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 165 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 166 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 167                <NA>                <NA>                <NA> #> 168                <NA>                <NA>                <NA> #> 169 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 170 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 171 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 172 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 173 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 174 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 175 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 176 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 177 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 178 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 179 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 180 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 181 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 182 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 183 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 184 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 185 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 186 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 187                <NA>                <NA>                <NA> #> 188                <NA>                <NA>                <NA> #> 189 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 190 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 191 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 192 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 193 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 194 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 195 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 196 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 197 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 198 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 199 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 200 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 201 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 202 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 203 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 204 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 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        <NA>                <NA> #> 265 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 266 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 267 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 268 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 269 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 270 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 271 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 272 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 273 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 274                <NA>                <NA>                <NA> #> 275 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 276 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 277 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 278 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 279 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 280 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 281 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 282 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 283 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 284                <NA>                <NA>                <NA> #> 285 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 286 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 287 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 288 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 289 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 290 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 291 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 292 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 293 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 294                <NA>                <NA>                <NA> #> 295 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 296 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 297 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 298 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 299 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 300 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 301 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 302 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 303 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 304                <NA>                <NA>                <NA> #> 305 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 306 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 307 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 308 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 309 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 310 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 311 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 312 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 313 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 314                <NA>                <NA>                <NA> #> 315 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 316 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 317 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 318 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 319 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 320 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 321 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 322 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 323 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 324                <NA>                <NA>                <NA> #> 325 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 326 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 327 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 328 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 329 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 330 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 331 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 332 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 333 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 334                <NA>                <NA>                <NA> #> 335 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 336 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 337 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 338 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 339 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 340 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 341 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 342 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 343 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 344                <NA>                <NA>                <NA> #> 345 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 346 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 347 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 348 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 349 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 350 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 351 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 352 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 353 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 354                <NA>                <NA>                <NA> #> 355 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 356 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 357 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 358 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 359 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 360 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 361 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 362 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 363 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 364 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 365 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 366 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 367                <NA>                <NA>                <NA> #> 368                <NA>                <NA>                <NA> #> 369 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 370 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 371 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 372 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 373 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 374 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 375 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 376 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 377 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 378 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 379 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 380 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 381 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 382 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 383 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 384 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 385 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 386 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 387                <NA>                <NA>                <NA> #> 388                <NA>                <NA>                <NA> #> 389 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 390 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 391 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 392 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 393 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 394 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 395 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 396 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 397 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 398 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 399 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 400 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 401 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 402 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 403 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 404 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 405 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 406 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 407                <NA>                <NA>                <NA> #> 408                <NA>                <NA>                <NA> #> 409 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 410 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 411 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 412 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 413 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 414 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 415 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 416 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 417 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 418 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 419 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 420 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 421 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 422 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 423 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 424 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 425 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 426 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 427                <NA>                <NA>                <NA> #> 428                <NA>                <NA>                <NA> #> 429 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 430 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 431 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 432 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 433 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 434 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 435 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 436 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 437 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 438 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 439 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 440 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 441 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 442 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 443 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 444                <NA>                <NA>                <NA> #> 445 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 446 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 447 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 448 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 449 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 450 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 451 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 452 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 453 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 454                <NA>                <NA>                <NA> #> 455 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 456 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 457 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 458 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 459 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 460 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 461 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 462 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 463 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 464                <NA>                <NA>                <NA> #> 465 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 466 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 467 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 468 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 469 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 470 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 471 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 472 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 473 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 474                <NA>                <NA>                <NA> #> 475 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 476 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 477 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 478 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 479 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 480 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 481 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 482 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 483 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 484                <NA>                <NA>                <NA> #> 485 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 486 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 487 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 488 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 489 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 490 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 491 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 492 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 493 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 494                <NA>                <NA>                <NA> #> 495 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 496 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 497 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 498 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 499 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 500 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 501 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 502 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 503 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 504                <NA>                <NA>                <NA> #> 505 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 506 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 507 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 508 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 509 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 510 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 511 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 512 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 513 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 514                <NA>                <NA>                <NA> #> 515 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 516 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 517 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 518 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 519 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 520 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 521 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 522 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 523 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 524                <NA>                <NA>                <NA> #> 525 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 526 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 527 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 528 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 529 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 530 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 531 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 532 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 533 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 534                <NA>                <NA>                <NA> #> 535 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 536 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 537 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 538 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 539 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 540 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 541 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 542 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 543 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 544                <NA>                <NA>                <NA> #> 545 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 546 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 547 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 548 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 549 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 550 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 551 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 552 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 553 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 554                <NA>                <NA>                <NA> #> 555 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 556 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 557 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 558 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 559 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 560 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 561 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 562 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 563 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 564                <NA>                <NA>                <NA> #> 565 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 566 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 567 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 568 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 569 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 570 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 571 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 572 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 573 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 574                <NA>                <NA>                <NA> #> 575 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 576 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 577 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 578 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 579 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 580 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 581 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 582 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 583 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 584 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 585 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 586 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 587                <NA>                <NA>                <NA> #> 588                <NA>                <NA>                <NA> #> 589 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 590 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 591 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 592 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 593 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 594 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 595 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 596 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 597 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 598 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 599 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 600 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 601 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 602 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 603 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 604 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 605 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 606 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 607                <NA>                <NA>                <NA> #> 608                <NA>                <NA>                <NA> #> 609 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 610 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 611 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 612 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 613 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 614 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 615 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 616 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 617 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 618 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 619 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 620 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 621 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 622 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 623 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 624 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 625 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 626 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 627                <NA>                <NA>                <NA> #> 628                <NA>                <NA>                <NA> #> 629 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 630 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 631 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 632 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 633 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 634 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 635 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 636 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 637 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 638 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 639 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 640 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 641 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 642 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 643 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 644 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 645 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 646 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 647                <NA>                <NA>                <NA> #> 648                <NA>                <NA>                <NA> #> 649 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 650 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 651 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 652 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 653 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 654 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 655 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 656 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 657 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 658 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 659 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 660 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #>                AP01SDTM            AP01EDTM            AP02SDTM #> 1   2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 2   2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 3   2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 4   2020-02-26 18:15:59                <NA>                <NA> #> 5   2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 6   2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 7   2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 8   2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 9   2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 10  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 11  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 12  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 13  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 14  2020-02-26 18:15:59                <NA>                <NA> #> 15  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 16  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 17  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 18  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 19  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 20  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 21  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 22  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 23  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 24  2020-02-26 18:15:59                <NA>                <NA> #> 25  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 26  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 27  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 28  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 29  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 30  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 31  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 32  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 33  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 34  2020-02-26 18:15:59                <NA>                <NA> #> 35  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 36  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 37  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 38  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 39  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 40  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 41  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 42  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 43  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 44  2020-02-26 18:15:59                <NA>                <NA> #> 45  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 46  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 47  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 48  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 49  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 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10:43:53 2023-01-18 10:43:53 #> 229 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 230 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 231 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 232 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 233 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 234 2020-02-26 18:15:59                <NA>                <NA> #> 235 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 236 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 237 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 238 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 239 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 240 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 241 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 242 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 243 2020-01-21 10:19:08 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22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 259 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 260 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 261 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 262 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 263 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 264 2020-02-26 18:15:59                <NA>                <NA> #> 265 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 266 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 267 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 268 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 269 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 270 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 271 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 272 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 273 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 274 2020-02-26 18:15:59                <NA>                <NA> #> 275 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 276 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 277 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 278 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 279 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 280 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 281 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 282 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 283 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 284 2020-02-26 18:15:59                <NA>                <NA> #> 285 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 286 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 287 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 288 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 289 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 290 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 291 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 292 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 293 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 294 2020-02-26 18:15:59                <NA>                <NA> #> 295 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 296 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 297 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 298 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 299 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 300 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 301 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 302 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 303 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 304 2020-02-26 18:15:59                <NA>                <NA> #> 305 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 306 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 307 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 308 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 309 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 310 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 311 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 312 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 313 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 314 2020-02-26 18:15:59                <NA>                <NA> #> 315 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 316 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 317 2020-10-26 22:16:26 2022-10-27 10:16:26 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05:56:02 2021-10-17 05:56:02 #> 333 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 334 2020-02-26 18:15:59                <NA>                <NA> #> 335 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 336 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 337 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 338 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 339 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 340 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 341 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 342 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 343 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 344 2020-02-26 18:15:59                <NA>                <NA> #> 345 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 346 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 347 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 348 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 349 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 350 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 351 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 352 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 353 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 354 2020-02-26 18:15:59                <NA>                <NA> #> 355 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 356 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 357 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 358 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 359 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 360 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 361 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 362 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 363 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 364 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 365 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 366 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 367 2020-02-26 18:15:59                <NA>                <NA> #> 368 2020-02-26 18:15:59                <NA>                <NA> #> 369 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 370 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 371 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 372 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 373 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 374 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 375 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 376 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 377 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 378 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 379 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 380 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 381 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 382 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 383 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 384 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 385 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 386 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 387 2020-02-26 18:15:59                <NA>                <NA> #> 388 2020-02-26 18:15:59                <NA>                <NA> #> 389 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 390 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 391 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 392 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 393 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 394 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 395 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 396 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 397 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 398 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 399 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 400 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 401 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 402 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 403 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 404 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 405 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 406 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 407 2020-02-26 18:15:59                <NA>                <NA> #> 408 2020-02-26 18:15:59                <NA>                <NA> #> 409 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 410 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 411 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 412 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 413 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 414 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 415 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 416 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 417 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 418 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 419 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 420 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 421 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 422 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 423 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 424 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 425 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 426 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 427 2020-02-26 18:15:59                <NA>                <NA> #> 428 2020-02-26 18:15:59                <NA>                <NA> #> 429 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 430 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 431 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 432 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 433 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 434 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 435 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 436 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 437 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 438 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 439 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 440 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 441 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 442 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 443 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 444 2020-02-26 18:15:59                <NA>                <NA> #> 445 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 446 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 447 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 448 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 449 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 450 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 451 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 452 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 453 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 454 2020-02-26 18:15:59                <NA>                <NA> #> 455 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 456 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 457 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 458 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 459 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 460 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 461 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 462 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 463 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 464 2020-02-26 18:15:59                <NA>                <NA> #> 465 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 466 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 467 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 468 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 469 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 470 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 471 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 472 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 473 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 474 2020-02-26 18:15:59                <NA>                <NA> #> 475 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 476 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 477 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 478 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 479 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 480 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 481 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 482 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 483 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 484 2020-02-26 18:15:59                <NA>                <NA> #> 485 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 486 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 487 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 488 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 489 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 490 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 491 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 492 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 493 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 494 2020-02-26 18:15:59                <NA>                <NA> #> 495 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 496 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 497 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 498 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 499 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 500 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 501 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 502 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 503 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 504 2020-02-26 18:15:59                <NA>                <NA> #> 505 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 506 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 507 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 508 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 509 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 510 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 511 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 512 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 513 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 514 2020-02-26 18:15:59                <NA>                <NA> #> 515 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 516 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 517 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 518 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 519 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 520 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 521 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 522 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 523 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 524 2020-02-26 18:15:59                <NA>                <NA> #> 525 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 526 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 527 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 528 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 529 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 530 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 531 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 532 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 533 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 534 2020-02-26 18:15:59                <NA>                <NA> #> 535 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 536 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 537 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 538 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 539 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 540 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 541 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 542 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 543 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 544 2020-02-26 18:15:59                <NA>                <NA> #> 545 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 546 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 547 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 548 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 549 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 550 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 551 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 552 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 553 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 554 2020-02-26 18:15:59                <NA>                <NA> #> 555 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 556 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 557 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 558 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 559 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 560 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 561 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 562 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 563 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 564 2020-02-26 18:15:59                <NA>                <NA> #> 565 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 566 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 567 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 568 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 569 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 570 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 571 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 572 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 573 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 574 2020-02-26 18:15:59                <NA>                <NA> #> 575 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 576 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 577 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 578 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 579 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 580 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 581 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 582 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 583 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 584 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 585 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 586 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 587 2020-02-26 18:15:59                <NA>                <NA> #> 588 2020-02-26 18:15:59                <NA>                <NA> #> 589 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 590 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 591 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 592 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 593 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 594 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 595 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 596 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 597 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 598 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 599 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 600 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 601 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 602 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 603 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 604 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 605 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 606 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 607 2020-02-26 18:15:59                <NA>                <NA> #> 608 2020-02-26 18:15:59                <NA>                <NA> #> 609 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 610 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 611 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 612 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 613 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 614 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 615 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 616 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 617 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 618 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 619 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 620 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 621 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 622 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 623 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 624 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 625 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 626 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 627 2020-02-26 18:15:59                <NA>                <NA> #> 628 2020-02-26 18:15:59                <NA>                <NA> #> 629 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 630 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 631 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 632 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 633 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 634 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 635 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 636 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 637 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 638 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 639 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 640 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 641 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 642 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 643 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 644 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 645 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 646 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 647 2020-02-26 18:15:59                <NA>                <NA> #> 648 2020-02-26 18:15:59                <NA>                <NA> #> 649 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 650 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 651 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 652 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 653 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 654 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 655 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 656 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 657 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 658 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 659 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 660 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #>                AP02EDTM       EOSSTT       EOTSTT      EOSDT EOSDY DCSREAS #> 1   2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 2   2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 3   2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 4                  <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 5   2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 6   2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 7   2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 8   2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 9   2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 10  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 11  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 12  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 13  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 14                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 15  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 16  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 17  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 18  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 19  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 20  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 21  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 22  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 23  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 24                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 25  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 26  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 27  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 28  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 29  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 30  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 31  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 32  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 33  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 34                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 35  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 36  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 37  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 38  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 39  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 40  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 41  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 42  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 43  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 44                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 45  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 46  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 47  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 48  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 49  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 50  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 51  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 52  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 53  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 54                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 55  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 56  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 57  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 58  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 59  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 60  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 61  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 62  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 63  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 64                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 65  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 66  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 67  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 68  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 69  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 70  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 71  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 72  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 73  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 74                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 75  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 76  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 77  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 78  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 79  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 80  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 81  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 82  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 83  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 84                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 85  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 86  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 87  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 88  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 89  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 90  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 91  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 92  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 93  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 94                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 95  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 96  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 97  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 98  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 99  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 100 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 101 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 102 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 103 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 104                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 105 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 106 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 107 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 108 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 109 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 110 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 111 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 112 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 113 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 114                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 115 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 116 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 117 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 118 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 119 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 120 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 121 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 122 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 123 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 124                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 125 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 126 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 127 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 128 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 129 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 130 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 131 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 132 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 133 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 134                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 135 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 136 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 137 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 138 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 139 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 140 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 141 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 142 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 143 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 144 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 145 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 146 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 147                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 148                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 149 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 150 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 151 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 152 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 153 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 154 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 155 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 156 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 157 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 158 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 159 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 160 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 161 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 162 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 163 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 164 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 165 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 166 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 167                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 168                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 169 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 170 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 171 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 172 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 173 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 174 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 175 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 176 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 177 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 178 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 179 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 180 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 181 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 182 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 183 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 184 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 185 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 186 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 187                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 188                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 189 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 190 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 191 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 192 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 193 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 194 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 195 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 196 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 197 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 198 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 199 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 200 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 201 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 202 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 203 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 204 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 205 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 206 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 207                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 208                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 209 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 210 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 211 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 212 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 213 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 214 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 215 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 216 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 217 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 218 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 219 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 220 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 221 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 222 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 223 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 224                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 225 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 226 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 227 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 228 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 229 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 230 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 231 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 232 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 233 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 234                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 235 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 236 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 237 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 238 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 239 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 240 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 241 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 242 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 243 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 244                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 245 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 246 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 247 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 248 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 249 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 250 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 251 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 252 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 253 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 254                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 255 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 256 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 257 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 258 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 259 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 260 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 261 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 262 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 263 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 264                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 265 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 266 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 267 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 268 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 269 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 270 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 271 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 272 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 273 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 274                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 275 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 276 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 277 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 278 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 279 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 280 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 281 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 282 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 283 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 284                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 285 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 286 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 287 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 288 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 289 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 290 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 291 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 292 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 293 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 294                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 295 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 296 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 297 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 298 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 299 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 300 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 301 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 302 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 303 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 304                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 305 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 306 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 307 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 308 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 309 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 310 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 311 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 312 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 313 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 314                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 315 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 316 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 317 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 318 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 319 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 320 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 321 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 322 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 323 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 324                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 325 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 326 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 327 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 328 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 329 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 330 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 331 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 332 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 333 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 334                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 335 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 336 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 337 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 338 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 339 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 340 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 341 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 342 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 343 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 344                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 345 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 346 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 347 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 348 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 349 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 350 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 351 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 352 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 353 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 354                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 355 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 356 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 357 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 358 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 359 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 360 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 361 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 362 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 363 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 364 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 365 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 366 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 367                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 368                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 369 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 370 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 371 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 372 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 373 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 374 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 375 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 376 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 377 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 378 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 379 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 380 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 381 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 382 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 383 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 384 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 385 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 386 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 387                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 388                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 389 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 390 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 391 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 392 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 393 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 394 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 395 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 396 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 397 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 398 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 399 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 400 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 401 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 402 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 403 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 404 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 405 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 406 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 407                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 408                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 409 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 410 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 411 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 412 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 413 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 414 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 415 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 416 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 417 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 418 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 419 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 420 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 421 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 422 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 423 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 424 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 425 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 426 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 427                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 428                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 429 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 430 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 431 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 432 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 433 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 434 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 435 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 436 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 437 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 438 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 439 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 440 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 441 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 442 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 443 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 444                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 445 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 446 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 447 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 448 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 449 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 450 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 451 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 452 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 453 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 454                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 455 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 456 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 457 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 458 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 459 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 460 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 461 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 462 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 463 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 464                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 465 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 466 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 467 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 468 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 469 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 470 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 471 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 472 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 473 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 474                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 475 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 476 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 477 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 478 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 479 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 480 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 481 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 482 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 483 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 484                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 485 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 486 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 487 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 488 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 489 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 490 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 491 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 492 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 493 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 494                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 495 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 496 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 497 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 498 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 499 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 500 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 501 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 502 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 503 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 504                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 505 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 506 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 507 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 508 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 509 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 510 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 511 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 512 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 513 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 514                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 515 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 516 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 517 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 518 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 519 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 520 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 521 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 522 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 523 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 524                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 525 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 526 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 527 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 528 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 529 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 530 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 531 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 532 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 533 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 534                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 535 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 536 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 537 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 538 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 539 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 540 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 541 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 542 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 543 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 544                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 545 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 546 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 547 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 548 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 549 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 550 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 551 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 552 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 553 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 554                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 555 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 556 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 557 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 558 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 559 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 560 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 561 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 562 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 563 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 564                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 565 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 566 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 567 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 568 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 569 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 570 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 571 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 572 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 573 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 574                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 575 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 576 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 577 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 578 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 579 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 580 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 581 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 582 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 583 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 584 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 585 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 586 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 587                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 588                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 589 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 590 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 591 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 592 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 593 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 594 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 595 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 596 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 597 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 598 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 599 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 600 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 601 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 602 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 603 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 604 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 605 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 606 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 607                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 608                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 609 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 610 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 611 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 612 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 613 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 614 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 615 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 616 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 617 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 618 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 619 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 620 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 621 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 622 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 623 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 624 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 625 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 626 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 627                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 628                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 629 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 630 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 631 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 632 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 633 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 634 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 635 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 636 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 637 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 638 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 639 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 640 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 641 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 642 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 643 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 644 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 645 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 646 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 647                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 648                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 649 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 650 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 651 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 652 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 653 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 654 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 655 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 656 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 657 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 658 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 659 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 660 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #>          DTHDT             DTHCAUS              DTHCAT LDDTHELD LDDTHGR1 #> 1         <NA>                <NA>                <NA>       NA     <NA> #> 2         <NA>                <NA>                <NA>       NA     <NA> #> 3   2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 4         <NA>                <NA>                <NA>       NA     <NA> #> 5   2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 6         <NA>                <NA>                <NA>       NA     <NA> #> 7         <NA>                <NA>                <NA>       NA     <NA> #> 8         <NA>                <NA>                <NA>       NA     <NA> #> 9   2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 10        <NA>                <NA>                <NA>       NA     <NA> #> 11        <NA>                <NA>                <NA>       NA     <NA> #> 12        <NA>                <NA>                <NA>       NA     <NA> #> 13  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 14        <NA>                <NA>                <NA>       NA     <NA> #> 15  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 16        <NA>                <NA>                <NA>       NA     <NA> #> 17        <NA>                <NA>                <NA>       NA     <NA> #> 18        <NA>                <NA>                <NA>       NA     <NA> #> 19  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 20        <NA>                <NA>                <NA>       NA     <NA> #> 21        <NA>                <NA>                <NA>       NA     <NA> #> 22        <NA>                <NA>                <NA>       NA     <NA> #> 23  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 24        <NA>                <NA>                <NA>       NA     <NA> #> 25  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 26        <NA>                <NA>                <NA>       NA     <NA> #> 27        <NA>                <NA>                <NA>       NA     <NA> #> 28        <NA>                <NA>                <NA>       NA     <NA> #> 29  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 30        <NA>                <NA>                <NA>       NA     <NA> #> 31        <NA>                <NA>                <NA>       NA     <NA> #> 32        <NA>                <NA>                <NA>       NA     <NA> #> 33  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 34        <NA>                <NA>                <NA>       NA     <NA> #> 35  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 36        <NA>                <NA>                <NA>       NA     <NA> #> 37        <NA>                <NA>                <NA>       NA     <NA> #> 38        <NA>                <NA>                <NA>       NA     <NA> #> 39  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 40        <NA>                <NA>                <NA>       NA     <NA> #> 41        <NA>                <NA>                <NA>       NA     <NA> #> 42        <NA>                <NA>                <NA>       NA     <NA> #> 43  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 44        <NA>                <NA>                <NA>       NA     <NA> #> 45  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 46        <NA>                <NA>                <NA>       NA     <NA> #> 47        <NA>                <NA>                <NA>       NA     <NA> #> 48        <NA>                <NA>                <NA>       NA     <NA> #> 49  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 50        <NA>                <NA>                <NA>       NA     <NA> #> 51        <NA>                <NA>                <NA>       NA     <NA> #> 52        <NA>                <NA>                <NA>       NA     <NA> #> 53  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 54        <NA>                <NA>                <NA>       NA     <NA> #> 55  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 56        <NA>                <NA>                <NA>       NA     <NA> #> 57        <NA>                <NA>                <NA>       NA     <NA> #> 58        <NA>                <NA>                <NA>       NA     <NA> #> 59  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 60        <NA>                <NA>                <NA>       NA     <NA> #> 61        <NA>                <NA>                <NA>       NA     <NA> #> 62        <NA>                <NA>                <NA>       NA     <NA> #> 63  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 64        <NA>                <NA>                <NA>       NA     <NA> #> 65  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 66        <NA>                <NA>                <NA>       NA     <NA> #> 67        <NA>                <NA>                <NA>       NA     <NA> #> 68        <NA>                <NA>                <NA>       NA     <NA> #> 69  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 70        <NA>                <NA>                <NA>       NA     <NA> #> 71        <NA>                <NA>                <NA>       NA     <NA> #> 72        <NA>                <NA>                <NA>       NA     <NA> #> 73  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 74        <NA>                <NA>                <NA>       NA     <NA> #> 75  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 76        <NA>                <NA>                <NA>       NA     <NA> #> 77        <NA>                <NA>                <NA>       NA     <NA> #> 78        <NA>                <NA>                <NA>       NA     <NA> #> 79  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 80        <NA>                <NA>                <NA>       NA     <NA> #> 81        <NA>                <NA>                <NA>       NA     <NA> #> 82        <NA>                <NA>                <NA>       NA     <NA> #> 83  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 84        <NA>                <NA>                <NA>       NA     <NA> #> 85  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 86        <NA>                <NA>                <NA>       NA     <NA> #> 87        <NA>                <NA>                <NA>       NA     <NA> #> 88        <NA>                <NA>                <NA>       NA     <NA> #> 89  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 90        <NA>                <NA>                <NA>       NA     <NA> #> 91        <NA>                <NA>                <NA>       NA     <NA> #> 92        <NA>                <NA>                <NA>       NA     <NA> #> 93  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 94        <NA>                <NA>                <NA>       NA     <NA> #> 95  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 96        <NA>                <NA>                <NA>       NA     <NA> #> 97        <NA>                <NA>                <NA>       NA     <NA> #> 98        <NA>                <NA>                <NA>       NA     <NA> #> 99  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 100       <NA>                <NA>                <NA>       NA     <NA> #> 101       <NA>                <NA>                <NA>       NA     <NA> #> 102       <NA>                <NA>                <NA>       NA     <NA> #> 103 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 104       <NA>                <NA>                <NA>       NA     <NA> #> 105 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 106       <NA>                <NA>                <NA>       NA     <NA> #> 107       <NA>                <NA>                <NA>       NA     <NA> #> 108       <NA>                <NA>                <NA>       NA     <NA> #> 109 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 110       <NA>                <NA>                <NA>       NA     <NA> #> 111       <NA>                <NA>                <NA>       NA     <NA> #> 112       <NA>                <NA>                <NA>       NA     <NA> #> 113 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 114       <NA>                <NA>                <NA>       NA     <NA> #> 115 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 116       <NA>                <NA>                <NA>       NA     <NA> #> 117       <NA>                <NA>                <NA>       NA     <NA> #> 118       <NA>                <NA>                <NA>       NA     <NA> #> 119 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 120       <NA>                <NA>                <NA>       NA     <NA> #> 121       <NA>                <NA>                <NA>       NA     <NA> #> 122       <NA>                <NA>                <NA>       NA     <NA> #> 123 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 124       <NA>                <NA>                <NA>       NA     <NA> #> 125 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 126       <NA>                <NA>                <NA>       NA     <NA> #> 127       <NA>                <NA>                <NA>       NA     <NA> #> 128       <NA>                <NA>                <NA>       NA     <NA> #> 129 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 130       <NA>                <NA>                <NA>       NA     <NA> #> 131       <NA>                <NA>                <NA>       NA     <NA> #> 132       <NA>                <NA>                <NA>       NA     <NA> #> 133 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 134       <NA>                <NA>                <NA>       NA     <NA> #> 135 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 136       <NA>                <NA>                <NA>       NA     <NA> #> 137       <NA>                <NA>                <NA>       NA     <NA> #> 138       <NA>                <NA>                <NA>       NA     <NA> #> 139 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 140       <NA>                <NA>                <NA>       NA     <NA> #> 141       <NA>                <NA>                <NA>       NA     <NA> #> 142       <NA>                <NA>                <NA>       NA     <NA> #> 143       <NA>                <NA>                <NA>       NA     <NA> #> 144       <NA>                <NA>                <NA>       NA     <NA> #> 145 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 146 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 147       <NA>                <NA>                <NA>       NA     <NA> #> 148       <NA>                <NA>                <NA>       NA     <NA> #> 149 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 150 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 151       <NA>                <NA>                <NA>       NA     <NA> #> 152       <NA>                <NA>                <NA>       NA     <NA> #> 153       <NA>                <NA>                <NA>       NA     <NA> #> 154       <NA>                <NA>                <NA>       NA     <NA> #> 155       <NA>                <NA>                <NA>       NA     <NA> #> 156       <NA>                <NA>                <NA>       NA     <NA> #> 157 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 158 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 159       <NA>                <NA>                <NA>       NA     <NA> #> 160       <NA>                <NA>                <NA>       NA     <NA> #> 161       <NA>                <NA>                <NA>       NA     <NA> #> 162       <NA>                <NA>                <NA>       NA     <NA> #> 163       <NA>                <NA>                <NA>       NA     <NA> #> 164       <NA>                <NA>                <NA>       NA     <NA> #> 165 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 166 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 167       <NA>                <NA>                <NA>       NA     <NA> #> 168       <NA>                <NA>                <NA>       NA     <NA> #> 169 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 170 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 171       <NA>                <NA>                <NA>       NA     <NA> #> 172       <NA>                <NA>                <NA>       NA     <NA> #> 173       <NA>                <NA>                <NA>       NA     <NA> #> 174       <NA>                <NA>                <NA>       NA     <NA> #> 175       <NA>                <NA>                <NA>       NA     <NA> #> 176       <NA>                <NA>                <NA>       NA     <NA> #> 177 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 178 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 179       <NA>                <NA>                <NA>       NA     <NA> #> 180       <NA>                <NA>                <NA>       NA     <NA> #> 181       <NA>                <NA>                <NA>       NA     <NA> #> 182       <NA>                <NA>                <NA>       NA     <NA> #> 183       <NA>                <NA>                <NA>       NA     <NA> #> 184       <NA>                <NA>                <NA>       NA     <NA> #> 185 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 186 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 187       <NA>                <NA>                <NA>       NA     <NA> #> 188       <NA>                <NA>                <NA>       NA     <NA> #> 189 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 190 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 191       <NA>                <NA>                <NA>       NA     <NA> #> 192       <NA>                <NA>                <NA>       NA     <NA> #> 193       <NA>                <NA>                <NA>       NA     <NA> #> 194       <NA>                <NA>                <NA>       NA     <NA> #> 195       <NA>                <NA>                <NA>       NA     <NA> #> 196       <NA>                <NA>                <NA>       NA     <NA> #> 197 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 198 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 199       <NA>                <NA>                <NA>       NA     <NA> #> 200       <NA>                <NA>                <NA>       NA     <NA> #> 201       <NA>                <NA>                <NA>       NA     <NA> #> 202       <NA>                <NA>                <NA>       NA     <NA> #> 203       <NA>                <NA>                <NA>       NA     <NA> #> 204       <NA>                <NA>                <NA>       NA     <NA> #> 205 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 206 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 207       <NA>                <NA>                <NA>       NA     <NA> #> 208       <NA>                <NA>                <NA>       NA     <NA> #> 209 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 210 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 211       <NA>                <NA>                <NA>       NA     <NA> #> 212       <NA>                <NA>                <NA>       NA     <NA> #> 213       <NA>                <NA>                <NA>       NA     <NA> #> 214       <NA>                <NA>                <NA>       NA     <NA> #> 215       <NA>                <NA>                <NA>       NA     <NA> #> 216       <NA>                <NA>                <NA>       NA     <NA> #> 217 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 218 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 219       <NA>                <NA>                <NA>       NA     <NA> #> 220       <NA>                <NA>                <NA>       NA     <NA> #> 221       <NA>                <NA>                <NA>       NA     <NA> #> 222       <NA>                <NA>                <NA>       NA     <NA> #> 223 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 224       <NA>                <NA>                <NA>       NA     <NA> #> 225 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 226       <NA>                <NA>                <NA>       NA     <NA> #> 227       <NA>                <NA>                <NA>       NA     <NA> #> 228       <NA>                <NA>                <NA>       NA     <NA> #> 229 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 230       <NA>                <NA>                <NA>       NA     <NA> #> 231       <NA>                <NA>                <NA>       NA     <NA> #> 232       <NA>                <NA>                <NA>       NA     <NA> #> 233 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 234       <NA>                <NA>                <NA>       NA     <NA> #> 235 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 236       <NA>                <NA>                <NA>       NA     <NA> #> 237       <NA>                <NA>                <NA>       NA     <NA> #> 238       <NA>                <NA>                <NA>       NA     <NA> #> 239 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 240       <NA>                <NA>                <NA>       NA     <NA> #> 241       <NA>                <NA>                <NA>       NA     <NA> #> 242       <NA>                <NA>                <NA>       NA     <NA> #> 243 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 244       <NA>                <NA>                <NA>       NA     <NA> #> 245 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 246       <NA>                <NA>                <NA>       NA     <NA> #> 247       <NA>                <NA>                <NA>       NA     <NA> #> 248       <NA>                <NA>                <NA>       NA     <NA> #> 249 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 250       <NA>                <NA>                <NA>       NA     <NA> #> 251       <NA>                <NA>                <NA>       NA     <NA> #> 252       <NA>                <NA>                <NA>       NA     <NA> #> 253 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 254       <NA>                <NA>                <NA>       NA     <NA> #> 255 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 256       <NA>                <NA>                <NA>       NA     <NA> #> 257       <NA>                <NA>                <NA>       NA     <NA> #> 258       <NA>                <NA>                <NA>       NA     <NA> #> 259 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 260       <NA>                <NA>                <NA>       NA     <NA> #> 261       <NA>                <NA>                <NA>       NA     <NA> #> 262       <NA>                <NA>                <NA>       NA     <NA> #> 263 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 264       <NA>                <NA>                <NA>       NA     <NA> #> 265 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 266       <NA>                <NA>                <NA>       NA     <NA> #> 267       <NA>                <NA>                <NA>       NA     <NA> #> 268       <NA>                <NA>                <NA>       NA     <NA> #> 269 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 270       <NA>                <NA>                <NA>       NA     <NA> #> 271       <NA>                <NA>                <NA>       NA     <NA> #> 272       <NA>                <NA>                <NA>       NA     <NA> #> 273 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 274       <NA>                <NA>                <NA>       NA     <NA> #> 275 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 276       <NA>                <NA>                <NA>       NA     <NA> #> 277       <NA>                <NA>                <NA>       NA     <NA> #> 278       <NA>                <NA>                <NA>       NA     <NA> #> 279 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 280       <NA>                <NA>                <NA>       NA     <NA> #> 281       <NA>                <NA>                <NA>       NA     <NA> #> 282       <NA>                <NA>                <NA>       NA     <NA> #> 283 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 284       <NA>                <NA>                <NA>       NA     <NA> #> 285 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 286       <NA>                <NA>                <NA>       NA     <NA> #> 287       <NA>                <NA>                <NA>       NA     <NA> #> 288       <NA>                <NA>                <NA>       NA     <NA> #> 289 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 290       <NA>                <NA>                <NA>       NA     <NA> #> 291       <NA>                <NA>                <NA>       NA     <NA> #> 292       <NA>                <NA>                <NA>       NA     <NA> #> 293 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 294       <NA>                <NA>                <NA>       NA     <NA> #> 295 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 296       <NA>                <NA>                <NA>       NA     <NA> #> 297       <NA>                <NA>                <NA>       NA     <NA> #> 298       <NA>                <NA>                <NA>       NA     <NA> #> 299 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 300       <NA>                <NA>                <NA>       NA     <NA> #> 301       <NA>                <NA>                <NA>       NA     <NA> #> 302       <NA>                <NA>                <NA>       NA     <NA> #> 303 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 304       <NA>                <NA>                <NA>       NA     <NA> #> 305 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 306       <NA>                <NA>                <NA>       NA     <NA> #> 307       <NA>                <NA>                <NA>       NA     <NA> #> 308       <NA>                <NA>                <NA>       NA     <NA> #> 309 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 310       <NA>                <NA>                <NA>       NA     <NA> #> 311       <NA>                <NA>                <NA>       NA     <NA> #> 312       <NA>                <NA>                <NA>       NA     <NA> #> 313 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 314       <NA>                <NA>                <NA>       NA     <NA> #> 315 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 316       <NA>                <NA>                <NA>       NA     <NA> #> 317       <NA>                <NA>                <NA>       NA     <NA> #> 318       <NA>                <NA>                <NA>       NA     <NA> #> 319 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 320       <NA>                <NA>                <NA>       NA     <NA> #> 321       <NA>                <NA>                <NA>       NA     <NA> #> 322       <NA>                <NA>                <NA>       NA     <NA> #> 323 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 324       <NA>                <NA>                <NA>       NA     <NA> #> 325 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 326       <NA>                <NA>                <NA>       NA     <NA> #> 327       <NA>                <NA>                <NA>       NA     <NA> #> 328       <NA>                <NA>                <NA>       NA     <NA> #> 329 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 330       <NA>                <NA>                <NA>       NA     <NA> #> 331       <NA>                <NA>                <NA>       NA     <NA> #> 332       <NA>                <NA>                <NA>       NA     <NA> #> 333 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 334       <NA>                <NA>                <NA>       NA     <NA> #> 335 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 336       <NA>                <NA>                <NA>       NA     <NA> #> 337       <NA>                <NA>                <NA>       NA     <NA> #> 338       <NA>                <NA>                <NA>       NA     <NA> #> 339 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 340       <NA>                <NA>                <NA>       NA     <NA> #> 341       <NA>                <NA>                <NA>       NA     <NA> #> 342       <NA>                <NA>                <NA>       NA     <NA> #> 343 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 344       <NA>                <NA>                <NA>       NA     <NA> #> 345 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 346       <NA>                <NA>                <NA>       NA     <NA> #> 347       <NA>                <NA>                <NA>       NA     <NA> #> 348       <NA>                <NA>                <NA>       NA     <NA> #> 349 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 350       <NA>                <NA>                <NA>       NA     <NA> #> 351       <NA>                <NA>                <NA>       NA     <NA> #> 352       <NA>                <NA>                <NA>       NA     <NA> #> 353 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 354       <NA>                <NA>                <NA>       NA     <NA> #> 355 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 356       <NA>                <NA>                <NA>       NA     <NA> #> 357       <NA>                <NA>                <NA>       NA     <NA> #> 358       <NA>                <NA>                <NA>       NA     <NA> #> 359 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 360       <NA>                <NA>                <NA>       NA     <NA> #> 361       <NA>                <NA>                <NA>       NA     <NA> #> 362       <NA>                <NA>                <NA>       NA     <NA> #> 363       <NA>                <NA>                <NA>       NA     <NA> #> 364       <NA>                <NA>                <NA>       NA     <NA> #> 365 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 366 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 367       <NA>                <NA>                <NA>       NA     <NA> #> 368       <NA>                <NA>                <NA>       NA     <NA> #> 369 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 370 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 371       <NA>                <NA>                <NA>       NA     <NA> #> 372       <NA>                <NA>                <NA>       NA     <NA> #> 373       <NA>                <NA>                <NA>       NA     <NA> #> 374       <NA>                <NA>                <NA>       NA     <NA> #> 375       <NA>                <NA>                <NA>       NA     <NA> #> 376       <NA>                <NA>                <NA>       NA     <NA> #> 377 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 378 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 379       <NA>                <NA>                <NA>       NA     <NA> #> 380       <NA>                <NA>                <NA>       NA     <NA> #> 381       <NA>                <NA>                <NA>       NA     <NA> #> 382       <NA>                <NA>                <NA>       NA     <NA> #> 383       <NA>                <NA>                <NA>       NA     <NA> #> 384       <NA>                <NA>                <NA>       NA     <NA> #> 385 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 386 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 387       <NA>                <NA>                <NA>       NA     <NA> #> 388       <NA>                <NA>                <NA>       NA     <NA> #> 389 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 390 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 391       <NA>                <NA>                <NA>       NA     <NA> #> 392       <NA>                <NA>                <NA>       NA     <NA> #> 393       <NA>                <NA>                <NA>       NA     <NA> #> 394       <NA>                <NA>                <NA>       NA     <NA> #> 395       <NA>                <NA>                <NA>       NA     <NA> #> 396       <NA>                <NA>                <NA>       NA     <NA> #> 397 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 398 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 399       <NA>                <NA>                <NA>       NA     <NA> #> 400       <NA>                <NA>                <NA>       NA     <NA> #> 401       <NA>                <NA>                <NA>       NA     <NA> #> 402       <NA>                <NA>                <NA>       NA     <NA> #> 403       <NA>                <NA>                <NA>       NA     <NA> #> 404       <NA>                <NA>                <NA>       NA     <NA> #> 405 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 406 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 407       <NA>                <NA>                <NA>       NA     <NA> #> 408       <NA>                <NA>                <NA>       NA     <NA> #> 409 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 410 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 411       <NA>                <NA>                <NA>       NA     <NA> #> 412       <NA>                <NA>                <NA>       NA     <NA> #> 413       <NA>                <NA>                <NA>       NA     <NA> #> 414       <NA>                <NA>                <NA>       NA     <NA> #> 415       <NA>                <NA>                <NA>       NA     <NA> #> 416       <NA>                <NA>                <NA>       NA     <NA> #> 417 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 418 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 419       <NA>                <NA>                <NA>       NA     <NA> #> 420       <NA>                <NA>                <NA>       NA     <NA> #> 421       <NA>                <NA>                <NA>       NA     <NA> #> 422       <NA>                <NA>                <NA>       NA     <NA> #> 423       <NA>                <NA>                <NA>       NA     <NA> #> 424       <NA>                <NA>                <NA>       NA     <NA> #> 425 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 426 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 427       <NA>                <NA>                <NA>       NA     <NA> #> 428       <NA>                <NA>                <NA>       NA     <NA> #> 429 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 430 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 431       <NA>                <NA>                <NA>       NA     <NA> #> 432       <NA>                <NA>                <NA>       NA     <NA> #> 433       <NA>                <NA>                <NA>       NA     <NA> #> 434       <NA>                <NA>                <NA>       NA     <NA> #> 435       <NA>                <NA>                <NA>       NA     <NA> #> 436       <NA>                <NA>                <NA>       NA     <NA> #> 437 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 438 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 439       <NA>                <NA>                <NA>       NA     <NA> #> 440       <NA>                <NA>                <NA>       NA     <NA> #> 441       <NA>                <NA>                <NA>       NA     <NA> #> 442       <NA>                <NA>                <NA>       NA     <NA> #> 443 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 444       <NA>                <NA>                <NA>       NA     <NA> #> 445 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 446       <NA>                <NA>                <NA>       NA     <NA> #> 447       <NA>                <NA>                <NA>       NA     <NA> #> 448       <NA>                <NA>                <NA>       NA     <NA> #> 449 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 450       <NA>                <NA>                <NA>       NA     <NA> #> 451       <NA>                <NA>                <NA>       NA     <NA> #> 452       <NA>                <NA>                <NA>       NA     <NA> #> 453 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 454       <NA>                <NA>                <NA>       NA     <NA> #> 455 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 456       <NA>                <NA>                <NA>       NA     <NA> #> 457       <NA>                <NA>                <NA>       NA     <NA> #> 458       <NA>                <NA>                <NA>       NA     <NA> #> 459 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 460       <NA>                <NA>                <NA>       NA     <NA> #> 461       <NA>                <NA>                <NA>       NA     <NA> #> 462       <NA>                <NA>                <NA>       NA     <NA> #> 463 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 464       <NA>                <NA>                <NA>       NA     <NA> #> 465 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 466       <NA>                <NA>                <NA>       NA     <NA> #> 467       <NA>                <NA>                <NA>       NA     <NA> #> 468       <NA>                <NA>                <NA>       NA     <NA> #> 469 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 470       <NA>                <NA>                <NA>       NA     <NA> #> 471       <NA>                <NA>                <NA>       NA     <NA> #> 472       <NA>                <NA>                <NA>       NA     <NA> #> 473 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 474       <NA>                <NA>                <NA>       NA     <NA> #> 475 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 476       <NA>                <NA>                <NA>       NA     <NA> #> 477       <NA>                <NA>                <NA>       NA     <NA> #> 478       <NA>                <NA>                <NA>       NA     <NA> #> 479 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 480       <NA>                <NA>                <NA>       NA     <NA> #> 481       <NA>                <NA>                <NA>       NA     <NA> #> 482       <NA>                <NA>                <NA>       NA     <NA> #> 483 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 484       <NA>                <NA>                <NA>       NA     <NA> #> 485 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 486       <NA>                <NA>                <NA>       NA     <NA> #> 487       <NA>                <NA>                <NA>       NA     <NA> #> 488       <NA>                <NA>                <NA>       NA     <NA> #> 489 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 490       <NA>                <NA>                <NA>       NA     <NA> #> 491       <NA>                <NA>                <NA>       NA     <NA> #> 492       <NA>                <NA>                <NA>       NA     <NA> #> 493 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 494       <NA>                <NA>                <NA>       NA     <NA> #> 495 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 496       <NA>                <NA>                <NA>       NA     <NA> #> 497       <NA>                <NA>                <NA>       NA     <NA> #> 498       <NA>                <NA>                <NA>       NA     <NA> #> 499 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 500       <NA>                <NA>                <NA>       NA     <NA> #> 501       <NA>                <NA>                <NA>       NA     <NA> #> 502       <NA>                <NA>                <NA>       NA     <NA> #> 503 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 504       <NA>                <NA>                <NA>       NA     <NA> #> 505 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 506       <NA>                <NA>                <NA>       NA     <NA> #> 507       <NA>                <NA>                <NA>       NA     <NA> #> 508       <NA>                <NA>                <NA>       NA     <NA> #> 509 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 510       <NA>                <NA>                <NA>       NA     <NA> #> 511       <NA>                <NA>                <NA>       NA     <NA> #> 512       <NA>                <NA>                <NA>       NA     <NA> #> 513 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 514       <NA>                <NA>                <NA>       NA     <NA> #> 515 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 516       <NA>                <NA>                <NA>       NA     <NA> #> 517       <NA>                <NA>                <NA>       NA     <NA> #> 518       <NA>                <NA>                <NA>       NA     <NA> #> 519 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 520       <NA>                <NA>                <NA>       NA     <NA> #> 521       <NA>                <NA>                <NA>       NA     <NA> #> 522       <NA>                <NA>                <NA>       NA     <NA> #> 523 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 524       <NA>                <NA>                <NA>       NA     <NA> #> 525 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 526       <NA>                <NA>                <NA>       NA     <NA> #> 527       <NA>                <NA>                <NA>       NA     <NA> #> 528       <NA>                <NA>                <NA>       NA     <NA> #> 529 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 530       <NA>                <NA>                <NA>       NA     <NA> #> 531       <NA>                <NA>                <NA>       NA     <NA> #> 532       <NA>                <NA>                <NA>       NA     <NA> #> 533 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 534       <NA>                <NA>                <NA>       NA     <NA> #> 535 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 536       <NA>                <NA>                <NA>       NA     <NA> #> 537       <NA>                <NA>                <NA>       NA     <NA> #> 538       <NA>                <NA>                <NA>       NA     <NA> #> 539 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 540       <NA>                <NA>                <NA>       NA     <NA> #> 541       <NA>                <NA>                <NA>       NA     <NA> #> 542       <NA>                <NA>                <NA>       NA     <NA> #> 543 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 544       <NA>                <NA>                <NA>       NA     <NA> #> 545 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 546       <NA>                <NA>                <NA>       NA     <NA> #> 547       <NA>                <NA>                <NA>       NA     <NA> #> 548       <NA>                <NA>                <NA>       NA     <NA> #> 549 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 550       <NA>                <NA>                <NA>       NA     <NA> #> 551       <NA>                <NA>                <NA>       NA     <NA> #> 552       <NA>                <NA>                <NA>       NA     <NA> #> 553 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 554       <NA>                <NA>                <NA>       NA     <NA> #> 555 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 556       <NA>                <NA>                <NA>       NA     <NA> #> 557       <NA>                <NA>                <NA>       NA     <NA> #> 558       <NA>                <NA>                <NA>       NA     <NA> #> 559 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 560       <NA>                <NA>                <NA>       NA     <NA> #> 561       <NA>                <NA>                <NA>       NA     <NA> #> 562       <NA>                <NA>                <NA>       NA     <NA> #> 563 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 564       <NA>                <NA>                <NA>       NA     <NA> #> 565 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 566       <NA>                <NA>                <NA>       NA     <NA> #> 567       <NA>                <NA>                <NA>       NA     <NA> #> 568       <NA>                <NA>                <NA>       NA     <NA> #> 569 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 570       <NA>                <NA>                <NA>       NA     <NA> #> 571       <NA>                <NA>                <NA>       NA     <NA> #> 572       <NA>                <NA>                <NA>       NA     <NA> #> 573 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 574       <NA>                <NA>                <NA>       NA     <NA> #> 575 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 576       <NA>                <NA>                <NA>       NA     <NA> #> 577       <NA>                <NA>                <NA>       NA     <NA> #> 578       <NA>                <NA>                <NA>       NA     <NA> #> 579 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 580       <NA>                <NA>                <NA>       NA     <NA> #> 581       <NA>                <NA>                <NA>       NA     <NA> #> 582       <NA>                <NA>                <NA>       NA     <NA> #> 583       <NA>                <NA>                <NA>       NA     <NA> #> 584       <NA>                <NA>                <NA>       NA     <NA> #> 585 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 586 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 587       <NA>                <NA>                <NA>       NA     <NA> #> 588       <NA>                <NA>                <NA>       NA     <NA> #> 589 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 590 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 591       <NA>                <NA>                <NA>       NA     <NA> #> 592       <NA>                <NA>                <NA>       NA     <NA> #> 593       <NA>                <NA>                <NA>       NA     <NA> #> 594       <NA>                <NA>                <NA>       NA     <NA> #> 595       <NA>                <NA>                <NA>       NA     <NA> #> 596       <NA>                <NA>                <NA>       NA     <NA> #> 597 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 598 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 599       <NA>                <NA>                <NA>       NA     <NA> #> 600       <NA>                <NA>                <NA>       NA     <NA> #> 601       <NA>                <NA>                <NA>       NA     <NA> #> 602       <NA>                <NA>                <NA>       NA     <NA> #> 603       <NA>                <NA>                <NA>       NA     <NA> #> 604       <NA>                <NA>                <NA>       NA     <NA> #> 605 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 606 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 607       <NA>                <NA>                <NA>       NA     <NA> #> 608       <NA>                <NA>                <NA>       NA     <NA> #> 609 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 610 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 611       <NA>                <NA>                <NA>       NA     <NA> #> 612       <NA>                <NA>                <NA>       NA     <NA> #> 613       <NA>                <NA>                <NA>       NA     <NA> #> 614       <NA>                <NA>                <NA>       NA     <NA> #> 615       <NA>                <NA>                <NA>       NA     <NA> #> 616       <NA>                <NA>                <NA>       NA     <NA> #> 617 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 618 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 619       <NA>                <NA>                <NA>       NA     <NA> #> 620       <NA>                <NA>                <NA>       NA     <NA> #> 621       <NA>                <NA>                <NA>       NA     <NA> #> 622       <NA>                <NA>                <NA>       NA     <NA> #> 623       <NA>                <NA>                <NA>       NA     <NA> #> 624       <NA>                <NA>                <NA>       NA     <NA> #> 625 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 626 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 627       <NA>                <NA>                <NA>       NA     <NA> #> 628       <NA>                <NA>                <NA>       NA     <NA> #> 629 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 630 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 631       <NA>                <NA>                <NA>       NA     <NA> #> 632       <NA>                <NA>                <NA>       NA     <NA> #> 633       <NA>                <NA>                <NA>       NA     <NA> #> 634       <NA>                <NA>                <NA>       NA     <NA> #> 635       <NA>                <NA>                <NA>       NA     <NA> #> 636       <NA>                <NA>                <NA>       NA     <NA> #> 637 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 638 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 639       <NA>                <NA>                <NA>       NA     <NA> #> 640       <NA>                <NA>                <NA>       NA     <NA> #> 641       <NA>                <NA>                <NA>       NA     <NA> #> 642       <NA>                <NA>                <NA>       NA     <NA> #> 643       <NA>                <NA>                <NA>       NA     <NA> #> 644       <NA>                <NA>                <NA>       NA     <NA> #> 645 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 646 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 647       <NA>                <NA>                <NA>       NA     <NA> #> 648       <NA>                <NA>                <NA>       NA     <NA> #> 649 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 650 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 651       <NA>                <NA>                <NA>       NA     <NA> #> 652       <NA>                <NA>                <NA>       NA     <NA> #> 653       <NA>                <NA>                <NA>       NA     <NA> #> 654       <NA>                <NA>                <NA>       NA     <NA> #> 655       <NA>                <NA>                <NA>       NA     <NA> #> 656       <NA>                <NA>                <NA>       NA     <NA> #> 657 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 658 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 659       <NA>                <NA>                <NA>       NA     <NA> #> 660       <NA>                <NA>                <NA>       NA     <NA> #>       LSTALVDT DTHADY ADTHAUT             PPCAT       PPSPEC #> 1   2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 2   2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 3   2021-11-23    671     Yes     Plasma Drug X       Plasma #> 4         <NA>     NA    <NA>     Plasma Drug X       Plasma #> 5   2021-09-27    512     Yes     Plasma Drug X       Plasma #> 6   2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 7   2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 8   2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 9   2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 10  2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 11  2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 12  2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 13  2021-11-23    671     Yes Metabolite Drug X       Plasma #> 14        <NA>     NA    <NA> Metabolite Drug X       Plasma #> 15  2021-09-27    512     Yes Metabolite Drug X       Plasma #> 16  2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 17  2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 18  2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 19  2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 20  2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 21  2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 22  2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 23  2021-11-23    671     Yes     Plasma Drug X       Plasma #> 24        <NA>     NA    <NA>     Plasma Drug X       Plasma #> 25  2021-09-27    512     Yes     Plasma Drug X       Plasma #> 26  2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 27  2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 28  2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 29  2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 30  2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 31  2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 32  2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 33  2021-11-23    671     Yes Metabolite Drug X       Plasma #> 34        <NA>     NA    <NA> Metabolite Drug X       Plasma #> 35  2021-09-27    512     Yes Metabolite Drug X       Plasma #> 36  2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 37  2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 38  2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 39  2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 40  2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 41  2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 42  2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 43  2021-11-23    671     Yes     Plasma Drug X       Plasma #> 44        <NA>     NA    <NA>     Plasma Drug X       Plasma #> 45  2021-09-27    512     Yes     Plasma Drug X       Plasma #> 46  2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 47  2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 48  2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 49  2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 50  2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 51  2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 52  2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 53  2021-11-23    671     Yes Metabolite Drug X       Plasma #> 54        <NA>     NA    <NA> Metabolite Drug X       Plasma #> 55  2021-09-27    512     Yes Metabolite Drug X       Plasma #> 56  2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 57  2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 58  2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 59  2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 60  2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 61  2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 62  2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 63  2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 64        <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 65  2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 66  2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 67  2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 68  2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 69  2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 70  2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 71  2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 72  2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 73  2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 74        <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 75  2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 76  2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 77  2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 78  2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 79  2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 80  2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 81  2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 82  2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 83  2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 84        <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 85  2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 86  2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 87  2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 88  2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 89  2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 90  2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 91  2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 92  2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 93  2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 94        <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 95  2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 96  2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 97  2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 98  2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 99  2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 100 2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 101 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 102 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 103 2021-11-23    671     Yes     Plasma Drug X        Urine #> 104       <NA>     NA    <NA>     Plasma Drug X        Urine #> 105 2021-09-27    512     Yes     Plasma Drug X        Urine #> 106 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 107 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 108 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 109 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 110 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 111 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 112 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 113 2021-11-23    671     Yes Metabolite Drug X        Urine #> 114       <NA>     NA    <NA> Metabolite Drug X        Urine #> 115 2021-09-27    512     Yes Metabolite Drug X        Urine #> 116 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 117 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 118 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 119 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 120 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 121 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 122 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 123 2021-11-23    671     Yes     Plasma Drug X        Urine #> 124       <NA>     NA    <NA>     Plasma Drug X        Urine #> 125 2021-09-27    512     Yes     Plasma Drug X        Urine #> 126 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 127 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 128 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 129 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 130 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 131 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 132 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 133 2021-11-23    671     Yes Metabolite Drug X        Urine #> 134       <NA>     NA    <NA> Metabolite Drug X        Urine #> 135 2021-09-27    512     Yes Metabolite Drug X        Urine #> 136 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 137 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 138 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 139 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 140 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 141 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 142 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 143 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 144 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 145 2021-11-23    671     Yes     Plasma Drug X        Urine #> 146 2021-11-23    671     Yes     Plasma Drug X        Urine #> 147       <NA>     NA    <NA>     Plasma Drug X        Urine #> 148       <NA>     NA    <NA>     Plasma Drug X        Urine #> 149 2021-09-27    512     Yes     Plasma Drug X        Urine #> 150 2021-09-27    512     Yes     Plasma Drug X        Urine #> 151 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 152 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 153 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 154 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 155 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 156 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 157 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 158 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 159 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 160 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 161 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 162 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 163 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 164 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 165 2021-11-23    671     Yes Metabolite Drug X        Urine #> 166 2021-11-23    671     Yes Metabolite Drug X        Urine #> 167       <NA>     NA    <NA> Metabolite Drug X        Urine #> 168       <NA>     NA    <NA> Metabolite Drug X        Urine #> 169 2021-09-27    512     Yes Metabolite Drug X        Urine #> 170 2021-09-27    512     Yes Metabolite Drug X        Urine #> 171 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 172 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 173 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 174 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 175 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 176 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 177 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 178 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 179 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 180 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 181 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 182 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 183 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 184 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 185 2021-11-23    671     Yes     Plasma Drug X        Urine #> 186 2021-11-23    671     Yes     Plasma Drug X        Urine #> 187       <NA>     NA    <NA>     Plasma Drug X        Urine #> 188       <NA>     NA    <NA>     Plasma Drug X        Urine #> 189 2021-09-27    512     Yes     Plasma Drug X        Urine #> 190 2021-09-27    512     Yes     Plasma Drug X        Urine #> 191 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 192 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 193 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 194 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 195 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 196 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 197 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 198 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 199 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 200 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 201 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 202 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 203 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 204 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 205 2021-11-23    671     Yes Metabolite Drug X        Urine #> 206 2021-11-23    671     Yes Metabolite Drug X        Urine #> 207       <NA>     NA    <NA> Metabolite Drug X        Urine #> 208       <NA>     NA    <NA> Metabolite Drug X        Urine #> 209 2021-09-27    512     Yes Metabolite Drug X        Urine #> 210 2021-09-27    512     Yes Metabolite Drug X        Urine #> 211 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 212 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 213 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 214 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 215 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 216 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 217 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 218 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 219 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 220 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 221 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 222 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 223 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 224       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 225 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 226 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 227 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 228 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 229 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 230 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 231 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 232 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 233 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 234       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 235 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 236 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 237 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 238 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 239 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 240 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 241 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 242 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 243 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 244       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 245 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 246 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 247 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 248 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 249 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 250 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 251 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 252 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 253 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 254       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 255 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 256 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 257 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 258 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 259 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 260 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 261 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 262 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 263 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 264       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 265 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 266 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 267 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 268 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 269 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 270 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 271 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 272 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 273 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 274       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 275 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 276 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 277 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 278 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 279 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 280 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 281 2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 282 2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 283 2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 284       <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 285 2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 286 2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 287 2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 288 2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 289 2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 290 2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 291 2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 292 2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 293 2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 294       <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 295 2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 296 2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 297 2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 298 2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 299 2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 300 2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 301 2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 302 2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 303 2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 304       <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 305 2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 306 2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 307 2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 308 2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 309 2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 310 2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 311 2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 312 2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 313 2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 314       <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 315 2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 316 2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 317 2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 318 2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 319 2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 320 2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 321 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 322 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 323 2021-11-23    671     Yes     Plasma Drug X        Urine #> 324       <NA>     NA    <NA>     Plasma Drug X        Urine #> 325 2021-09-27    512     Yes     Plasma Drug X        Urine #> 326 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 327 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 328 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 329 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 330 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 331 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 332 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 333 2021-11-23    671     Yes Metabolite Drug X        Urine #> 334       <NA>     NA    <NA> Metabolite Drug X        Urine #> 335 2021-09-27    512     Yes Metabolite Drug X        Urine #> 336 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 337 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 338 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 339 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 340 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 341 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 342 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 343 2021-11-23    671     Yes     Plasma Drug X        Urine #> 344       <NA>     NA    <NA>     Plasma Drug X        Urine #> 345 2021-09-27    512     Yes     Plasma Drug X        Urine #> 346 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 347 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 348 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 349 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 350 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 351 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 352 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 353 2021-11-23    671     Yes Metabolite Drug X        Urine #> 354       <NA>     NA    <NA> Metabolite Drug X        Urine #> 355 2021-09-27    512     Yes Metabolite Drug X        Urine #> 356 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 357 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 358 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 359 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 360 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 361 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 362 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 363 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 364 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 365 2021-11-23    671     Yes     Plasma Drug X        Urine #> 366 2021-11-23    671     Yes     Plasma Drug X        Urine #> 367       <NA>     NA    <NA>     Plasma Drug X        Urine #> 368       <NA>     NA    <NA>     Plasma Drug X        Urine #> 369 2021-09-27    512     Yes     Plasma Drug X        Urine #> 370 2021-09-27    512     Yes     Plasma Drug X        Urine #> 371 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 372 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 373 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 374 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 375 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 376 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 377 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 378 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 379 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 380 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 381 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 382 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 383 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 384 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 385 2021-11-23    671     Yes Metabolite Drug X        Urine #> 386 2021-11-23    671     Yes Metabolite Drug X        Urine #> 387       <NA>     NA    <NA> Metabolite Drug X        Urine #> 388       <NA>     NA    <NA> Metabolite Drug X        Urine #> 389 2021-09-27    512     Yes Metabolite Drug X        Urine #> 390 2021-09-27    512     Yes Metabolite Drug X        Urine #> 391 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 392 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 393 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 394 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 395 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 396 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 397 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 398 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 399 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 400 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 401 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 402 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 403 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 404 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 405 2021-11-23    671     Yes     Plasma Drug X        Urine #> 406 2021-11-23    671     Yes     Plasma Drug X        Urine #> 407       <NA>     NA    <NA>     Plasma Drug X        Urine #> 408       <NA>     NA    <NA>     Plasma Drug X        Urine #> 409 2021-09-27    512     Yes     Plasma Drug X        Urine #> 410 2021-09-27    512     Yes     Plasma Drug X        Urine #> 411 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 412 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 413 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 414 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 415 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 416 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 417 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 418 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 419 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 420 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 421 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 422 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 423 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 424 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 425 2021-11-23    671     Yes Metabolite Drug X        Urine #> 426 2021-11-23    671     Yes Metabolite Drug X        Urine #> 427       <NA>     NA    <NA> Metabolite Drug X        Urine #> 428       <NA>     NA    <NA> Metabolite Drug X        Urine #> 429 2021-09-27    512     Yes Metabolite Drug X        Urine #> 430 2021-09-27    512     Yes Metabolite Drug X        Urine #> 431 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 432 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 433 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 434 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 435 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 436 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 437 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 438 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 439 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 440 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 441 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 442 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 443 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 444       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 445 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 446 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 447 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 448 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 449 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 450 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 451 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 452 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 453 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 454       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 455 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 456 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 457 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 458 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 459 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 460 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 461 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 462 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 463 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 464       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 465 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 466 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 467 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 468 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 469 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 470 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 471 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 472 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 473 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 474       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 475 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 476 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 477 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 478 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 479 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 480 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 481 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 482 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 483 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 484       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 485 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 486 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 487 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 488 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 489 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 490 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 491 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 492 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 493 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 494       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 495 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 496 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 497 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 498 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 499 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 500 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 501 2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 502 2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 503 2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 504       <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 505 2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 506 2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 507 2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 508 2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 509 2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 510 2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 511 2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 512 2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 513 2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 514       <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 515 2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 516 2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 517 2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 518 2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 519 2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 520 2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 521 2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 522 2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 523 2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 524       <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 525 2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 526 2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 527 2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 528 2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 529 2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 530 2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 531 2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 532 2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 533 2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 534       <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 535 2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 536 2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 537 2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 538 2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 539 2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 540 2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 541 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 542 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 543 2021-11-23    671     Yes     Plasma Drug X        Urine #> 544       <NA>     NA    <NA>     Plasma Drug X        Urine #> 545 2021-09-27    512     Yes     Plasma Drug X        Urine #> 546 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 547 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 548 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 549 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 550 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 551 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 552 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 553 2021-11-23    671     Yes Metabolite Drug X        Urine #> 554       <NA>     NA    <NA> Metabolite Drug X        Urine #> 555 2021-09-27    512     Yes Metabolite Drug X        Urine #> 556 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 557 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 558 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 559 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 560 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 561 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 562 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 563 2021-11-23    671     Yes     Plasma Drug X        Urine #> 564       <NA>     NA    <NA>     Plasma Drug X        Urine #> 565 2021-09-27    512     Yes     Plasma Drug X        Urine #> 566 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 567 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 568 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 569 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 570 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 571 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 572 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 573 2021-11-23    671     Yes Metabolite Drug X        Urine #> 574       <NA>     NA    <NA> Metabolite Drug X        Urine #> 575 2021-09-27    512     Yes Metabolite Drug X        Urine #> 576 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 577 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 578 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 579 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 580 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 581 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 582 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 583 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 584 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 585 2021-11-23    671     Yes     Plasma Drug X        Urine #> 586 2021-11-23    671     Yes     Plasma Drug X        Urine #> 587       <NA>     NA    <NA>     Plasma Drug X        Urine #> 588       <NA>     NA    <NA>     Plasma Drug X        Urine #> 589 2021-09-27    512     Yes     Plasma Drug X        Urine #> 590 2021-09-27    512     Yes     Plasma Drug X        Urine #> 591 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 592 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 593 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 594 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 595 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 596 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 597 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 598 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 599 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 600 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 601 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 602 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 603 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 604 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 605 2021-11-23    671     Yes Metabolite Drug X        Urine #> 606 2021-11-23    671     Yes Metabolite Drug X        Urine #> 607       <NA>     NA    <NA> Metabolite Drug X        Urine #> 608       <NA>     NA    <NA> Metabolite Drug X        Urine #> 609 2021-09-27    512     Yes Metabolite Drug X        Urine #> 610 2021-09-27    512     Yes Metabolite Drug X        Urine #> 611 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 612 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 613 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 614 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 615 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 616 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 617 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 618 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 619 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 620 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 621 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 622 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 623 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 624 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 625 2021-11-23    671     Yes     Plasma Drug X        Urine #> 626 2021-11-23    671     Yes     Plasma Drug X        Urine #> 627       <NA>     NA    <NA>     Plasma Drug X        Urine #> 628       <NA>     NA    <NA>     Plasma Drug X        Urine #> 629 2021-09-27    512     Yes     Plasma Drug X        Urine #> 630 2021-09-27    512     Yes     Plasma Drug X        Urine #> 631 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 632 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 633 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 634 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 635 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 636 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 637 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 638 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 639 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 640 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 641 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 642 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 643 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 644 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 645 2021-11-23    671     Yes Metabolite Drug X        Urine #> 646 2021-11-23    671     Yes Metabolite Drug X        Urine #> 647       <NA>     NA    <NA> Metabolite Drug X        Urine #> 648       <NA>     NA    <NA> Metabolite Drug X        Urine #> 649 2021-09-27    512     Yes Metabolite Drug X        Urine #> 650 2021-09-27    512     Yes Metabolite Drug X        Urine #> 651 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 652 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 653 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 654 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 655 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 656 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 657 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 658 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 659 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 660 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #>                        PARAM  PARAMCD PPSTINT PPENINT        AVISIT AVISITN #> 1           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 2           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 3           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 4           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 5           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 6           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 7           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 8           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 9           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 10          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 11          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 12          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 13          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 14          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 15          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 16          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 17          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 18          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 19          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 20          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 21                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 22                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 23                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 24                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 25                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 26                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 27                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 28                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 29                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 30                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 31                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 32                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 33                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 34                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 35                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 36                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 37                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 38                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 39                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 40                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 41              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 42              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 43              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 44              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 45              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 46              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 47              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 48              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 49              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 50              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 51              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 52              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 53              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 54              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 55              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 56              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 57              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 58              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 59              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 60              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 61  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 62  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 63  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 64  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 65  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 66  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 67  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 68  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 69  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 70  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 71  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 72  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 73  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 74  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 75  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 76  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 77  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 78  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 79  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 80  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 81             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 82             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 83             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 84             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 85             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 86             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 87             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 88             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 89             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 90             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 91             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 92             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 93             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 94             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 95             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 96             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 97             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 98             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 99             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 100            Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 101                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 102                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 103                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 104                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 105                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 106                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 107                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 108                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 109                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 110                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 111                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 112                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 113                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 114                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 115                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 116                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 117                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 118                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 119                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 120                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 121    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 122    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 123    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 124    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 125    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 126    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 127    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 128    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 129    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 130    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 131    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 132    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 133    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 134    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 135    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 136    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 137    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 138    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 139    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 140    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 141    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 142    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 143    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 144    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 145    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 146    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 147    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 148    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 149    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 150    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 151    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 152    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 153    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 154    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 155    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 156    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 157    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 158    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 159    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 160    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 161    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 162    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 163    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 164    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 165    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 166    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 167    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 168    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 169    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 170    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 171    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 172    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 173    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 174    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 175    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 176    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 177    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 178    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 179    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 180    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 181    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 182    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 183    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 184    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 185    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 186    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 187    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 188    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 189    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 190    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 191    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 192    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 193    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 194    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 195    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 196    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 197    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 198    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 199    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 200    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 201    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 202    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 203    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 204    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 205    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 206    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 207    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 208    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 209    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 210    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 211    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 212    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 213    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 214    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 215    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 216    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 217    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 218    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 219    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 220    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 221         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 222         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 223         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 224         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 225         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 226         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 227         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 228         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 229         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 230         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 231         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 232         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 233         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 234         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 235         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 236         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 237         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 238         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 239         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 240         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 241                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 242                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 243                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 244                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 245                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 246                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 247                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 248                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 249                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 250                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 251                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 252                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 253                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 254                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 255                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 256                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 257                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 258                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 259                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 260                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 261             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 262             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 263             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 264             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 265             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 266             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 267             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 268             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 269             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 270             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 271             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 272             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 273             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 274             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 275             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 276             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 277             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 278             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 279             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 280             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 281 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 282 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 283 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 284 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 285 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 286 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 287 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 288 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 289 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 290 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 291 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 292 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 293 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 294 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 295 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 296 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 297 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 298 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 299 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 300 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 301            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 302            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 303            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 304            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 305            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 306            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 307            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 308            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 309            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 310            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 311            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 312            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 313            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 314            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 315            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 316            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 317            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 318            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 319            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 320            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 321                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 322                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 323                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 324                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 325                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 326                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 327                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 328                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 329                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 330                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 331                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 332                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 333                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 334                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 335                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 336                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 337                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 338                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 339                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 340                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 341    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 342    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 343    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 344    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 345    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 346    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 347    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 348    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 349    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 350    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 351    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 352    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 353    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 354    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 355    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 356    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 357    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 358    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 359    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 360    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 361    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 362    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 363    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 364    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 365    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 366    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 367    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 368    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 369    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 370    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 371    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 372    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 373    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 374    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 375    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 376    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 377    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 378    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 379    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 380    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 381    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 382    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 383    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 384    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 385    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 386    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 387    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 388    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 389    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 390    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 391    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 392    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 393    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 394    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 395    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 396    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 397    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 398    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 399    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 400    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 401    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 402    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 403    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 404    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 405    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 406    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 407    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 408    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 409    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 410    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 411    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 412    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 413    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 414    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 415    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 416    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 417    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 418    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 419    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 420    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 421    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 422    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 423    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 424    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 425    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 426    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 427    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 428    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 429    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 430    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 431    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 432    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 433    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 434    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 435    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 436    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 437    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 438    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 439    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 440    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 441         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 442         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 443         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 444         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 445         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 446         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 447         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 448         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 449         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 450         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 451         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 452         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 453         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 454         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 455         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 456         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 457         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 458         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 459         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 460         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 461                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 462                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 463                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 464                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 465                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 466                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 467                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 468                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 469                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 470                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 471                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 472                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 473                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 474                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 475                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 476                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 477                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 478                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 479                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 480                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 481             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 482             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 483             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 484             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 485             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 486             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 487             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 488             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 489             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 490             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 491             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 492             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 493             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 494             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 495             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 496             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 497             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 498             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 499             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 500             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 501 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 502 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 503 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 504 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 505 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 506 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 507 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 508 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 509 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 510 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 511 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 512 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 513 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 514 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 515 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 516 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 517 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 518 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 519 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 520 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 521            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 522            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 523            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 524            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 525            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 526            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 527            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 528            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 529            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 530            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 531            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 532            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 533            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 534            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 535            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 536            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 537            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 538            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 539            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 540            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 541                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 542                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 543                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 544                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 545                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 546                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 547                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 548                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 549                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 550                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 551                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 552                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 553                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 554                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 555                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 556                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 557                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 558                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 559                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 560                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 561    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 562    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 563    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 564    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 565    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 566    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 567    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 568    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 569    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 570    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 571    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 572    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 573    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 574    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 575    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 576    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 577    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 578    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 579    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 580    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 581    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 582    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 583    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 584    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 585    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 586    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 587    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 588    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 589    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 590    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 591    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 592    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 593    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 594    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 595    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 596    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 597    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 598    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 599    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 600    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 601    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 602    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 603    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 604    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 605    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 606    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 607    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 608    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 609    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 610    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 611    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 612    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 613    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 614    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 615    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 616    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 617    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 618    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 619    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 620    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 621    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 622    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 623    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 624    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 625    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 626    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 627    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 628    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 629    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 630    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 631    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 632    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 633    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 634    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 635    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 636    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 637    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 638    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 639    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 640    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 641    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 642    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 643    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 644    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 645    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 646    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 647    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 648    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 649    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 650    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 651    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 652    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 653    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 654    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 655    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 656    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 657    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 658    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 659    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 660    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #>             AVAL               AVALC     AVALU REGIMEN PKARMCD #> 1   2.073940e+02     207.39396738587 day*ug/mL     BID  Drug A #> 2   2.635138e+02    263.513813248353 day*ug/mL     BID  Drug A #> 3   1.547850e+02    154.784973030149 day*ug/mL     BID  Drug A #> 4   1.967899e+02     196.78992973796 day*ug/mL     BID  Drug A #> 5   2.052968e+02    205.296811375244 day*ug/mL     BID  Drug A #> 6   2.283182e+02    228.318189170869 day*ug/mL     BID  Drug A #> 7   2.793790e+02    279.378957466117 day*ug/mL     BID  Drug A #> 8   1.944485e+02    194.448519515213 day*ug/mL     BID  Drug A #> 9   1.075572e+02    107.557236615793 day*ug/mL     BID  Drug A #> 10  2.172906e+02    217.290606181585 day*ug/mL     BID  Drug A #> 11  1.520030e+02    152.002967214245 day*ug/mL     BID  Drug A #> 12  2.635855e+02    263.585528011603 day*ug/mL     BID  Drug A #> 13  2.781861e+02     278.18606568893 day*ug/mL     BID  Drug A #> 14  2.001975e+02    200.197511073126 day*ug/mL     BID  Drug A #> 15  1.019317e+02    101.931744486155 day*ug/mL     BID  Drug A #> 16  2.190895e+02    219.089492104545 day*ug/mL     BID  Drug A #> 17  2.316881e+02    231.688130811986 day*ug/mL     BID  Drug A #> 18  2.115855e+02    211.585468407094 day*ug/mL     BID  Drug A #> 19  1.761736e+02    176.173580052329 day*ug/mL     BID  Drug A #> 20  1.901395e+02    190.139497306659 day*ug/mL     BID  Drug A #> 21  1.824538e+01    18.2453809489972     ug/mL     BID  Drug A #> 22  2.494977e+01    24.9497696391864     ug/mL     BID  Drug A #> 23  4.142128e+01    41.4212848040859     ug/mL     BID  Drug A #> 24  3.373496e+01    33.7349635807244     ug/mL     BID  Drug A #> 25  4.194552e+01    41.9455226134819     ug/mL     BID  Drug A #> 26  2.816710e+01    28.1670976509513     ug/mL     BID  Drug A #> 27  2.889503e+01    28.8950312906924     ug/mL     BID  Drug A #> 28  2.280739e+01    22.8073934081555     ug/mL     BID  Drug A #> 29  1.820473e+01     18.204730551316     ug/mL     BID  Drug A #> 30  4.002971e+01     40.029712603956     ug/mL     BID  Drug A #> 31  4.218746e+01    42.1874551125315     ug/mL     BID  Drug A #> 32  2.578113e+01    25.7811340020367     ug/mL     BID  Drug A #> 33  3.094899e+01    30.9489885753607     ug/mL     BID  Drug A #> 34  3.303741e+01    33.0374087848843     ug/mL     BID  Drug A #> 35  2.508003e+01    25.0800293663028     ug/mL     BID  Drug A #> 36  1.800692e+01    18.0069180302153     ug/mL     BID  Drug A #> 37  3.050508e+01    30.5050794259335     ug/mL     BID  Drug A #> 38  2.462708e+01    24.6270803360201     ug/mL     BID  Drug A #> 39  2.455734e+01    24.5573377464391     ug/mL     BID  Drug A #> 40  2.153977e+01    21.5397699560178     ug/mL     BID  Drug A #> 41  3.304235e+00    3.30423509662098 ml/day/kg     BID  Drug A #> 42  4.466628e+00     4.4666278574528 ml/day/kg     BID  Drug A #> 43  3.627731e+00    3.62773054885692 ml/day/kg     BID  Drug A #> 44  2.792080e+00    2.79208022119536 ml/day/kg     BID  Drug A #> 45  6.822123e+00    6.82212251875356 ml/day/kg     BID  Drug A #> 46  4.346607e+00    4.34660658918122 ml/day/kg     BID  Drug A #> 47  4.613050e+00    4.61305039635507 ml/day/kg     BID  Drug A #> 48  5.386695e+00    5.38669497464607 ml/day/kg     BID  Drug A #> 49  3.746895e+00     3.7468951006308 ml/day/kg     BID  Drug A #> 50  4.398840e+00    4.39883989484765 ml/day/kg     BID  Drug A #> 51  5.260598e+00    5.26059783509216 ml/day/kg     BID  Drug A #> 52  4.685728e+00    4.68572801982808 ml/day/kg     BID  Drug A #> 53  4.250370e+00    4.25036990451692 ml/day/kg     BID  Drug A #> 54  4.137802e+00    4.13780167031419 ml/day/kg     BID  Drug A #> 55  7.048040e+00    7.04804030304848 ml/day/kg     BID  Drug A #> 56  5.939920e+00    5.93992007761338 ml/day/kg     BID  Drug A #> 57  4.578626e+00    4.57862642759465 ml/day/kg     BID  Drug A #> 58  4.649166e+00    4.64916557685214 ml/day/kg     BID  Drug A #> 59  5.455980e+00    5.45598009048122 ml/day/kg     BID  Drug A #> 60  4.216683e+00    4.21668334299138 ml/day/kg     BID  Drug A #> 61  1.027772e+01     10.277716838207        hr     BID  Drug A #> 62  1.342126e+01    13.4212631764731        hr     BID  Drug A #> 63  9.138718e+00    9.13871805055402        hr     BID  Drug A #> 64  7.911541e+00    7.91154083814588        hr     BID  Drug A #> 65  1.107516e+01    11.0751590491611        hr     BID  Drug A #> 66  8.660828e+00    8.66082802569954        hr     BID  Drug A #> 67  6.552020e+00    6.55202033101487        hr     BID  Drug B #> 68  6.515140e+00    6.51513983931819        hr     BID  Drug B #> 69  1.240099e+01    12.4009893976439        hr     BID  Drug B #> 70  7.092380e+00    7.09238030637342        hr     BID  Drug B #> 71  1.081945e+01    10.8194479651006        hr     BID  Drug B #> 72  8.386037e+00    8.38603672917152        hr     BID  Drug B #> 73  1.017110e+01     10.171100881709        hr     BID  Drug B #> 74  1.149249e+01    11.4924863372795        hr     BID  Drug B #> 75  8.692654e+00    8.69265387733783        hr     BID  Drug B #> 76  1.131421e+01    11.3142119666039        hr     BID  Drug B #> 77  8.386541e+00    8.38654128313466        hr     BID  Drug B #> 78  8.005241e+00    8.00524056544753        hr     BID  Drug B #> 79  7.313779e+00    7.31377890163956        hr     BID  Drug B #> 80  1.133505e+01    11.3350453742705        hr     BID  Drug B #> 81  2.617157e+00    2.61715738144196        hr     BID  Drug B #> 82  2.839372e+00    2.83937225758589        hr     BID  Drug B #> 83  3.215928e+00    3.21592773893143        hr     BID  Drug B #> 84  2.212280e+00    2.21228034363557        hr     BID  Drug B #> 85  2.469618e+00    2.46961823419878        hr     BID  Drug B #> 86  4.246257e+00    4.24625687675079        hr     BID  Drug B #> 87  2.256896e+00    2.25689642080303        hr     BID  Drug B #> 88  3.594260e+00    3.59425985379842        hr     BID  Drug B #> 89  2.608690e+00    2.60868969097793        hr     BID  Drug B #> 90  2.025444e+00    2.02544449592404        hr     BID  Drug B #> 91  2.242842e+00     2.2428424128162        hr     BID  Drug B #> 92  3.235311e+00    3.23531077553789        hr     BID  Drug B #> 93  2.321137e+00    2.32113704300777        hr     BID  Drug B #> 94  3.326487e+00     3.3264866904049        hr     BID  Drug B #> 95  3.705965e+00    3.70596536084074        hr     BID  Drug B #> 96  3.015137e+00    3.01513714154342        hr     BID  Drug B #> 97  2.607534e+00    2.60753414398955        hr     BID  Drug B #> 98  3.302185e+00    3.30218519449654        hr     BID  Drug B #> 99  3.420341e+00    3.42034067724912        hr     BID  Drug B #> 100 2.552149e+00    2.55214859122596        hr     BID  Drug B #> 101 3.980448e-02  0.0398044780278161      L/hr     BID  Drug B #> 102 7.870897e-02  0.0787089742357224      L/hr     BID  Drug B #> 103 5.218710e-02  0.0521871001140455      L/hr     BID  Drug B #> 104 4.033446e-02  0.0403344567029888      L/hr     BID  Drug B #> 105 5.383838e-02  0.0538383818162237      L/hr     BID  Drug B #> 106 4.878104e-02  0.0487810392868168      L/hr     BID  Drug B #> 107 5.599464e-02  0.0559946362113066      L/hr     BID  Drug B #> 108 5.231274e-02  0.0523127407756568      L/hr     BID  Drug B #> 109 5.451464e-02  0.0545146372704554      L/hr     BID  Drug B #> 110 6.675649e-02  0.0667564857038408      L/hr     BID  Drug B #> 111 5.715519e-02  0.0571551913504198      L/hr     BID  Drug B #> 112 4.206805e-02  0.0420680486447439      L/hr     BID  Drug B #> 113 6.923852e-02  0.0692385164716385      L/hr     BID  Drug B #> 114 5.070440e-02  0.0507043998631405      L/hr     BID  Drug B #> 115 5.469280e-02  0.0546928003631325      L/hr     BID  Drug B #> 116 4.910148e-02  0.0491014790592931      L/hr     BID  Drug B #> 117 4.626290e-02  0.0462629012200858      L/hr     BID  Drug B #> 118 7.258252e-02   0.072582519032112      L/hr     BID  Drug B #> 119 3.946543e-02  0.0394654320061997      L/hr     BID  Drug B #> 120 4.412160e-02  0.0441216020905139      L/hr     BID  Drug B #> 121 7.888418e-03 0.00788841825453315   L/hr/mg     BID  Drug B #> 122 6.172825e-03 0.00617282535280265   L/hr/mg     BID  Drug B #> 123 5.549643e-03 0.00554964322049714   L/hr/mg     BID  Drug B #> 124 5.779105e-03 0.00577910451000461   L/hr/mg     BID  Drug B #> 125 4.434869e-03 0.00443486874919505   L/hr/mg     BID  Drug B #> 126 5.102954e-03 0.00510295428579596   L/hr/mg     BID  Drug B #> 127 4.525569e-03 0.00452556882627679   L/hr/mg     BID  Drug B #> 128 4.541996e-03  0.0045419957930031   L/hr/mg     BID  Drug B #> 129 5.483657e-03 0.00548365664924895   L/hr/mg     BID  Drug B #> 130 4.828681e-03 0.00482868053104018   L/hr/mg     BID  Drug B #> 131 4.901642e-03  0.0049016415649018   L/hr/mg     BID  Drug B #> 132 4.678005e-03 0.00467800452020614   L/hr/mg     BID  Drug B #> 133 3.085265e-03 0.00308526549888187   L/hr/mg     BID  Drug C #> 134 4.352959e-03 0.00435295860684754   L/hr/mg     BID  Drug C #> 135 3.600563e-03  0.0036005631531315   L/hr/mg     BID  Drug C #> 136 6.931174e-03 0.00693117426931381   L/hr/mg     BID  Drug C #> 137 5.527439e-03  0.0055274387465549   L/hr/mg     BID  Drug C #> 138 4.963309e-03  0.0049633087270729   L/hr/mg     BID  Drug C #> 139 6.605200e-03 0.00660519993687242   L/hr/mg     BID  Drug C #> 140 5.067243e-03   0.005067243215326   L/hr/mg     BID  Drug C #> 141 1.764119e+00    1.76411874235571        mg     BID  Drug C #> 142 1.764119e+00    1.76411874235571        mg     BID  Drug C #> 143 1.960790e+00    1.96079030879955        mg     BID  Drug C #> 144 1.960790e+00    1.96079030879955        mg     BID  Drug C #> 145 1.365138e+00    1.36513847496565        mg     BID  Drug C #> 146 1.365138e+00    1.36513847496565        mg     BID  Drug C #> 147 1.982955e+00    1.98295467761374        mg     BID  Drug C #> 148 1.982955e+00    1.98295467761374        mg     BID  Drug C #> 149 2.083583e+00    2.08358294600425        mg     BID  Drug C #> 150 2.083583e+00    2.08358294600425        mg     BID  Drug C #> 151 1.927497e+00    1.92749653160781        mg     BID  Drug C #> 152 1.927497e+00    1.92749653160781        mg     BID  Drug C #> 153 1.968959e+00    1.96895924576341        mg     BID  Drug C #> 154 1.968959e+00    1.96895924576341        mg     BID  Drug C #> 155 1.532264e+00     1.5322639317603        mg     BID  Drug C #> 156 1.532264e+00     1.5322639317603        mg     BID  Drug C #> 157 1.450731e+00    1.45073083832002        mg     BID  Drug C #> 158 1.450731e+00    1.45073083832002        mg     BID  Drug C #> 159 1.347570e+00    1.34756962839076        mg     BID  Drug C #> 160 1.347570e+00    1.34756962839076        mg     BID  Drug C #> 161 1.462785e+00    1.46278501309857        mg     BID  Drug C #> 162 1.462785e+00    1.46278501309857        mg     BID  Drug C #> 163 1.837438e+00     1.8374384887417        mg     BID  Drug C #> 164 1.837438e+00     1.8374384887417        mg     BID  Drug C #> 165 9.725583e-01   0.972558343089336        mg     BID  Drug C #> 166 9.725583e-01   0.972558343089336        mg     BID  Drug C #> 167 1.789930e+00    1.78993031703251        mg     BID  Drug C #> 168 1.789930e+00    1.78993031703251        mg     BID  Drug C #> 169 1.808155e+00    1.80815547676696        mg     BID  Drug C #> 170 1.808155e+00    1.80815547676696        mg     BID  Drug C #> 171 1.622145e+00    1.62214484895993        mg     BID  Drug C #> 172 1.622145e+00    1.62214484895993        mg     BID  Drug C #> 173 1.948957e+00    1.94895711536126        mg     BID  Drug C #> 174 1.948957e+00    1.94895711536126        mg     BID  Drug C #> 175 1.348598e+00    1.34859760533249        mg     BID  Drug C #> 176 1.348598e+00    1.34859760533249        mg     BID  Drug C #> 177 1.709727e+00    1.70972671844114        mg     BID  Drug C #> 178 1.709727e+00    1.70972671844114        mg     BID  Drug C #> 179 1.498655e+00    1.49865531043811        mg     BID  Drug C #> 180 1.498655e+00    1.49865531043811        mg     BID  Drug C #> 181 1.906066e+01    19.0606593982511         %     BID  Drug C #> 182 1.906066e+01    19.0606593982511         %     BID  Drug C #> 183 1.853470e+01    18.5347043375246         %     BID  Drug C #> 184 1.853470e+01    18.5347043375246         %     BID  Drug C #> 185 1.679105e+01    16.7910526358469         %     BID  Drug C #> 186 1.679105e+01    16.7910526358469         %     BID  Drug C #> 187 1.657381e+01    16.5738137242544         %     BID  Drug C #> 188 1.657381e+01    16.5738137242544         %     BID  Drug C #> 189 1.730874e+01    17.3087385487854         %     BID  Drug C #> 190 1.730874e+01    17.3087385487854         %     BID  Drug C #> 191 1.868231e+01    18.6823120820053         %     BID  Drug C #> 192 1.868231e+01    18.6823120820053         %     BID  Drug C #> 193 2.035374e+01    20.3537434913621         %     BID  Drug C #> 194 2.035374e+01    20.3537434913621         %     BID  Drug C #> 195 1.467398e+01    14.6739785352415         %     BID  Drug C #> 196 1.467398e+01    14.6739785352415         %     BID  Drug C #> 197 1.468849e+01    14.6884942412513         %     BID  Drug C #> 198 1.468849e+01    14.6884942412513         %     BID  Drug C #> 199 1.705123e+01    17.0512323675702         %     BID  Drug D #> 200 1.705123e+01    17.0512323675702         %     BID  Drug D #> 201 1.686207e+01    16.8620650165532         %     BID  Drug D #> 202 1.686207e+01    16.8620650165532         %     BID  Drug D #> 203 1.161576e+01    11.6157603926478         %     BID  Drug D #> 204 1.161576e+01    11.6157603926478         %     BID  Drug D #> 205 1.637462e+01    16.3746163882503         %     BID  Drug D #> 206 1.637462e+01    16.3746163882503         %     BID  Drug D #> 207 1.790406e+01    17.9040596466762         %     BID  Drug D #> 208 1.790406e+01    17.9040596466762         %     BID  Drug D #> 209 1.486302e+01    14.8630180836626         %     BID  Drug D #> 210 1.486302e+01    14.8630180836626         %     BID  Drug D #> 211 1.465154e+01    14.6515428842478         %     BID  Drug D #> 212 1.465154e+01    14.6515428842478         %     BID  Drug D #> 213 1.824239e+01    18.2423941922289         %     BID  Drug D #> 214 1.824239e+01    18.2423941922289         %     BID  Drug D #> 215 1.684814e+01    16.8481448037605         %     BID  Drug D #> 216 1.684814e+01    16.8481448037605         %     BID  Drug D #> 217 2.003020e+01    20.0301989085571         %     BID  Drug D #> 218 2.003020e+01    20.0301989085571         %     BID  Drug D #> 219 1.603567e+01    16.0356728762873         %     BID  Drug D #> 220 1.603567e+01    16.0356728762873         %     BID  Drug D #> 221 2.569303e+02    256.930323397261 day*ug/mL     BID  Drug D #> 222 1.856497e+02    185.649713489217 day*ug/mL     BID  Drug D #> 223 1.800903e+02    180.090271118783 day*ug/mL     BID  Drug D #> 224 1.246005e+02    124.600478569302 day*ug/mL     BID  Drug D #> 225 1.544149e+02    154.414948645762 day*ug/mL     BID  Drug D #> 226 1.817308e+02    181.730839284568 day*ug/mL     BID  Drug D #> 227 1.871925e+02    187.192507862157 day*ug/mL     BID  Drug D #> 228 2.016669e+02    201.666930339071 day*ug/mL     BID  Drug D #> 229 1.735024e+02    173.502365427007 day*ug/mL     BID  Drug D #> 230 2.300816e+02    230.081567035137 day*ug/mL     BID  Drug D #> 231 1.704501e+02    170.450066986327 day*ug/mL     BID  Drug D #> 232 2.057459e+02     205.74589445307 day*ug/mL     BID  Drug D #> 233 1.713991e+02    171.399124832234 day*ug/mL     BID  Drug D #> 234 2.526594e+02    252.659426654931 day*ug/mL     BID  Drug D #> 235 1.370293e+02    137.029307606063 day*ug/mL     BID  Drug D #> 236 2.018464e+02    201.846443236622 day*ug/mL     BID  Drug D #> 237 2.565252e+02    256.525152035038 day*ug/mL     BID  Drug D #> 238 2.331677e+02    233.167720266784 day*ug/mL     BID  Drug D #> 239 2.137131e+02    213.713139182808 day*ug/mL     BID  Drug D #> 240 2.367428e+02    236.742822103937 day*ug/mL     BID  Drug D #> 241 1.366910e+01    13.6691030124032     ug/mL     BID  Drug D #> 242 2.391443e+01    23.9144291009689     ug/mL     BID  Drug D #> 243 2.502513e+01     25.025129557273     ug/mL     BID  Drug D #> 244 3.514625e+01    35.1462533862398     ug/mL     BID  Drug D #> 245 2.856894e+01    28.5689392252466     ug/mL     BID  Drug D #> 246 2.578052e+01    25.7805249196983     ug/mL     BID  Drug D #> 247 3.688800e+01    36.8879999535218     ug/mL     BID  Drug D #> 248 3.001240e+01     30.012402131878     ug/mL     BID  Drug D #> 249 2.212304e+01    22.1230432333383     ug/mL     BID  Drug D #> 250 3.174596e+01    31.7459581211885     ug/mL     BID  Drug D #> 251 2.246655e+01    22.4665530738696     ug/mL     BID  Drug D #> 252 3.847171e+01    38.4717067862155     ug/mL     BID  Drug D #> 253 3.440092e+01    34.4009222823337     ug/mL     BID  Drug D #> 254 3.769033e+01    37.6903287080125     ug/mL     BID  Drug D #> 255 3.539280e+01     35.392802882356     ug/mL     BID  Drug D #> 256 3.318667e+01    33.1866741543079     ug/mL     BID  Drug D #> 257 2.288872e+01    22.8887184150676     ug/mL     BID  Drug D #> 258 3.207598e+01    32.0759803136901     ug/mL     BID  Drug D #> 259 2.953594e+01    29.5359435444297     ug/mL     BID  Drug D #> 260 2.728145e+01     27.281450013058     ug/mL     BID  Drug D #> 261 4.717381e+00    4.71738069867348 ml/day/kg     BID  Drug D #> 262 3.429026e+00    3.42902569967221 ml/day/kg     BID  Drug D #> 263 5.296359e+00    5.29635860950479 ml/day/kg     BID  Drug D #> 264 5.247361e+00    5.24736127414808 ml/day/kg     BID  Drug D #> 265 4.863022e+00    4.86302160940736 ml/day/kg     BID  Drug E #> 266 4.285659e+00    4.28565923673174 ml/day/kg     BID  Drug E #> 267 2.979681e+00    2.97968072913846 ml/day/kg     BID  Drug E #> 268 5.506020e+00    5.50602022922493 ml/day/kg     BID  Drug E #> 269 4.730958e+00    4.73095816095179 ml/day/kg     BID  Drug E #> 270 5.204085e+00    5.20408452300841 ml/day/kg     BID  Drug E #> 271 5.116007e+00    5.11600698685415 ml/day/kg     BID  Drug E #> 272 4.743988e+00    4.74398822825356 ml/day/kg     BID  Drug E #> 273 4.325404e+00    4.32540376020656 ml/day/kg     BID  Drug E #> 274 5.942027e+00    5.94202707906856 ml/day/kg     BID  Drug E #> 275 5.493036e+00    5.49303642251188 ml/day/kg     BID  Drug E #> 276 5.443817e+00    5.44381705349733 ml/day/kg     BID  Drug E #> 277 6.301914e+00    6.30191419547311 ml/day/kg     BID  Drug E #> 278 3.640673e+00     3.6406732879911 ml/day/kg     BID  Drug E #> 279 4.200825e+00    4.20082493149421 ml/day/kg     BID  Drug E #> 280 4.486966e+00    4.48696646139325 ml/day/kg     BID  Drug E #> 281 1.027473e+01     10.274732191036        hr     BID  Drug E #> 282 8.210005e+00     8.2100054425684        hr     BID  Drug E #> 283 9.842868e+00    9.84286835655766        hr     BID  Drug E #> 284 1.319167e+01    13.1916725678912        hr     BID  Drug E #> 285 7.591947e+00    7.59194722657837        hr     BID  Drug E #> 286 6.675458e+00    6.67545767126632        hr     BID  Drug E #> 287 8.103624e+00    8.10362448824755        hr     BID  Drug E #> 288 8.097617e+00     8.0976171915404        hr     BID  Drug E #> 289 9.947930e+00    9.94793017996555        hr     BID  Drug E #> 290 1.028454e+01    10.2845373494783        hr     BID  Drug E #> 291 1.123585e+01      11.23585220499        hr     BID  Drug E #> 292 8.559155e+00    8.55915528999599        hr     BID  Drug E #> 293 8.832976e+00    8.83297611393234        hr     BID  Drug E #> 294 1.043265e+01    10.4326490077766        hr     BID  Drug E #> 295 1.248998e+01    12.4899824807859        hr     BID  Drug E #> 296 8.464196e+00    8.46419603139228        hr     BID  Drug E #> 297 7.711333e+00    7.71133348690102        hr     BID  Drug E #> 298 1.294035e+01    12.9403540993444        hr     BID  Drug E #> 299 1.088906e+01    10.8890550395933        hr     BID  Drug E #> 300 1.162194e+01    11.6219439071834        hr     BID  Drug E #> 301 3.490278e+00     3.4902781560917        hr     BID  Drug E #> 302 3.245012e+00    3.24501234776681        hr     BID  Drug E #> 303 3.085567e+00    3.08556690428139        hr     BID  Drug E #> 304 2.937817e+00    2.93781658898426        hr     BID  Drug E #> 305 3.421160e+00    3.42115958215722        hr     BID  Drug E #> 306 3.624440e+00    3.62444048355561        hr     BID  Drug E #> 307 4.052582e+00     4.0525816047198        hr     BID  Drug E #> 308 3.031328e+00    3.03132769086646        hr     BID  Drug E #> 309 2.690587e+00    2.69058690448801        hr     BID  Drug E #> 310 3.390794e+00    3.39079421116465        hr     BID  Drug E #> 311 2.961701e+00     2.9617007231057        hr     BID  Drug E #> 312 2.498373e+00    2.49837304905404        hr     BID  Drug E #> 313 4.037247e+00    4.03724670859468        hr     BID  Drug E #> 314 2.419750e+00    2.41975018693132        hr     BID  Drug E #> 315 3.339815e+00    3.33981534379736        hr     BID  Drug E #> 316 2.729627e+00    2.72962734073946        hr     BID  Drug E #> 317 2.247235e+00    2.24723508591904        hr     BID  Drug E #> 318 4.294007e+00    4.29400735324689        hr     BID  Drug E #> 319 3.472946e+00    3.47294581080228        hr     BID  Drug E #> 320 3.098849e+00    3.09884932801267        hr     BID  Drug E #> 321 4.235532e-02  0.0423553199189737      L/hr     BID  Drug E #> 322 6.461451e-02   0.064614512586786      L/hr     BID  Drug E #> 323 3.645904e-02  0.0364590361161427      L/hr     BID  Drug E #> 324 3.782145e-02  0.0378214452457843      L/hr     BID  Drug E #> 325 6.438519e-02  0.0643851940267339      L/hr     BID  Drug E #> 326 7.689005e-02   0.076890046998286      L/hr     BID  Drug E #> 327 6.101924e-02  0.0610192418258703      L/hr     BID  Drug E #> 328 4.728295e-02  0.0472829473396486      L/hr     BID  Drug E #> 329 3.865409e-02  0.0386540896293925      L/hr     BID  Drug E #> 330 6.341885e-02  0.0634188539918939      L/hr     BID  Drug E #> 331 5.633725e-02  0.0563372518922889      L/hr     BID  Drug F #> 332 4.675172e-02   0.046751724250156      L/hr     BID  Drug F #> 333 5.846145e-02  0.0584614518659475      L/hr     BID  Drug F #> 334 5.017041e-02   0.050170413878429      L/hr     BID  Drug F #> 335 4.674477e-02  0.0467447737126511      L/hr     BID  Drug F #> 336 4.114206e-02  0.0411420586100585      L/hr     BID  Drug F #> 337 4.989478e-02  0.0498947810722962      L/hr     BID  Drug F #> 338 6.433355e-02  0.0643335509332141      L/hr     BID  Drug F #> 339 3.354532e-02  0.0335453157272247      L/hr     BID  Drug F #> 340 3.930315e-02  0.0393031505937198      L/hr     BID  Drug F #> 341 4.885782e-03 0.00488578162784292   L/hr/mg     BID  Drug F #> 342 4.105379e-03 0.00410537862783403   L/hr/mg     BID  Drug F #> 343 4.345911e-03 0.00434591109494843   L/hr/mg     BID  Drug F #> 344 6.178716e-03 0.00617871628153782   L/hr/mg     BID  Drug F #> 345 5.951517e-03 0.00595151651072979   L/hr/mg     BID  Drug F #> 346 5.107910e-03 0.00510791034728672   L/hr/mg     BID  Drug F #> 347 5.826101e-03 0.00582610070238661   L/hr/mg     BID  Drug F #> 348 4.094573e-03  0.0040945732039763   L/hr/mg     BID  Drug F #> 349 4.750579e-03 0.00475057897295772   L/hr/mg     BID  Drug F #> 350 5.283153e-03 0.00528315330258214   L/hr/mg     BID  Drug F #> 351 5.761532e-03   0.005761532246986   L/hr/mg     BID  Drug F #> 352 5.118547e-03 0.00511854677520249   L/hr/mg     BID  Drug F #> 353 5.090595e-03 0.00509059475716538   L/hr/mg     BID  Drug F #> 354 6.306046e-03 0.00630604638464421   L/hr/mg     BID  Drug F #> 355 5.352020e-03 0.00535201989437071   L/hr/mg     BID  Drug F #> 356 4.203110e-03 0.00420310972500367   L/hr/mg     BID  Drug F #> 357 6.102527e-03 0.00610252683926924   L/hr/mg     BID  Drug F #> 358 3.544290e-03 0.00354429022864301   L/hr/mg     BID  Drug F #> 359 4.291607e-03 0.00429160671105357   L/hr/mg     BID  Drug F #> 360 5.859195e-03 0.00585919454297287   L/hr/mg     BID  Drug F #> 361 9.486762e-01   0.948676182861927        mg     BID  Drug F #> 362 9.486762e-01   0.948676182861927        mg     BID  Drug F #> 363 1.086980e+00    1.08698026399781        mg     BID  Drug F #> 364 1.086980e+00    1.08698026399781        mg     BID  Drug F #> 365 1.292638e+00    1.29263752739562        mg     BID  Drug F #> 366 1.292638e+00    1.29263752739562        mg     BID  Drug F #> 367 1.410770e+00    1.41077012419244        mg     BID  Drug F #> 368 1.410770e+00    1.41077012419244        mg     BID  Drug F #> 369 1.802584e+00    1.80258389627015        mg     BID  Drug F #> 370 1.802584e+00    1.80258389627015        mg     BID  Drug F #> 371 1.189952e+00    1.18995190486037        mg     BID  Drug F #> 372 1.189952e+00    1.18995190486037        mg     BID  Drug F #> 373 1.266520e+00    1.26652006352303        mg     BID  Drug F #> 374 1.266520e+00    1.26652006352303        mg     BID  Drug F #> 375 1.372339e+00    1.37233876678521        mg     BID  Drug F #> 376 1.372339e+00    1.37233876678521        mg     BID  Drug F #> 377 1.599888e+00    1.59988770840253        mg     BID  Drug F #> 378 1.599888e+00    1.59988770840253        mg     BID  Drug F #> 379 1.255193e+00    1.25519333058249        mg     BID  Drug F #> 380 1.255193e+00    1.25519333058249        mg     BID  Drug F #> 381 2.177080e+00    2.17707973330577        mg     BID  Drug F #> 382 2.177080e+00    2.17707973330577        mg     BID  Drug F #> 383 2.098934e+00    2.09893415014814        mg     BID  Drug F #> 384 2.098934e+00    2.09893415014814        mg     BID  Drug F #> 385 1.261253e+00    1.26125345974559        mg     BID  Drug F #> 386 1.261253e+00    1.26125345974559        mg     BID  Drug F #> 387 1.922597e+00    1.92259692994901        mg     BID  Drug F #> 388 1.922597e+00    1.92259692994901        mg     BID  Drug F #> 389 1.375677e+00    1.37567722642343        mg     BID  Drug F #> 390 1.375677e+00    1.37567722642343        mg     BID  Drug F #> 391 1.772309e+00     1.7723093790103        mg     BID  Drug F #> 392 1.772309e+00     1.7723093790103        mg     BID  Drug F #> 393 1.041090e+00    1.04108979246291        mg     BID  Drug F #> 394 1.041090e+00    1.04108979246291        mg     BID  Drug F #> 395 1.951526e+00    1.95152558688477        mg     BID  Drug F #> 396 1.951526e+00    1.95152558688477        mg     BID  Drug F #> 397 1.319356e+00    1.31935610922078        mg     BID  Drug G #> 398 1.319356e+00    1.31935610922078        mg     BID  Drug G #> 399 1.020992e+00    1.02099181540417        mg     BID  Drug G #> 400 1.020992e+00    1.02099181540417        mg     BID  Drug G #> 401 1.640459e+01    16.4045910334649         %     BID  Drug G #> 402 1.640459e+01    16.4045910334649         %     BID  Drug G #> 403 1.612969e+01     16.129688005731         %     BID  Drug G #> 404 1.612969e+01     16.129688005731         %     BID  Drug G #> 405 1.379335e+01    13.7933518848245         %     BID  Drug G #> 406 1.379335e+01    13.7933518848245         %     BID  Drug G #> 407 1.378946e+01    13.7894562135142         %     BID  Drug G #> 408 1.378946e+01    13.7894562135142         %     BID  Drug G #> 409 1.695709e+01    16.9570937587628         %     BID  Drug G #> 410 1.695709e+01    16.9570937587628         %     BID  Drug G #> 411 1.417418e+01    14.1741793705101         %     BID  Drug G #> 412 1.417418e+01    14.1741793705101         %     BID  Drug G #> 413 1.436478e+01     14.364779668508         %     BID  Drug G #> 414 1.436478e+01     14.364779668508         %     BID  Drug G #> 415 1.488543e+01    14.8854341509201         %     BID  Drug G #> 416 1.488543e+01    14.8854341509201         %     BID  Drug G #> 417 1.579418e+01    15.7941820609379         %     BID  Drug G #> 418 1.579418e+01    15.7941820609379         %     BID  Drug G #> 419 1.763385e+01    17.6338463895742         %     BID  Drug G #> 420 1.763385e+01    17.6338463895742         %     BID  Drug G #> 421 1.637584e+01    16.3758351256949         %     BID  Drug G #> 422 1.637584e+01    16.3758351256949         %     BID  Drug G #> 423 1.466581e+01    14.6658094327869         %     BID  Drug G #> 424 1.466581e+01    14.6658094327869         %     BID  Drug G #> 425 2.034407e+01    20.3440725941748         %     BID  Drug G #> 426 2.034407e+01    20.3440725941748         %     BID  Drug G #> 427 1.586777e+01    15.8677677759034         %     BID  Drug G #> 428 1.586777e+01    15.8677677759034         %     BID  Drug G #> 429 1.982553e+01    19.8255255436001         %     BID  Drug G #> 430 1.982553e+01    19.8255255436001         %     BID  Drug G #> 431 1.622040e+01    16.2203954624552         %     BID  Drug G #> 432 1.622040e+01    16.2203954624552         %     BID  Drug G #> 433 1.298783e+01    12.9878334657617         %     BID  Drug G #> 434 1.298783e+01    12.9878334657617         %     BID  Drug G #> 435 1.649345e+01     16.493447709445         %     BID  Drug G #> 436 1.649345e+01     16.493447709445         %     BID  Drug G #> 437 1.737979e+01     17.379791080356         %     BID  Drug G #> 438 1.737979e+01     17.379791080356         %     BID  Drug G #> 439 2.001734e+01    20.0173432011811         %     BID  Drug G #> 440 2.001734e+01    20.0173432011811         %     BID  Drug G #> 441 2.149988e+02     214.99879856695 day*ug/mL     BID  Drug G #> 442 2.585803e+02    258.580258192242 day*ug/mL     BID  Drug G #> 443 1.503107e+02    150.310677694497 day*ug/mL     BID  Drug G #> 444 1.718938e+02    171.893774989225 day*ug/mL     BID  Drug G #> 445 2.346909e+02    234.690934609323 day*ug/mL     BID  Drug G #> 446 1.962686e+02    196.268597740576 day*ug/mL     BID  Drug G #> 447 9.255009e+01    92.5500878006893 day*ug/mL     BID  Drug G #> 448 1.637703e+02    163.770301044755 day*ug/mL     BID  Drug G #> 449 2.255541e+02    225.554093973372 day*ug/mL     BID  Drug G #> 450 1.867350e+02     186.73503633016 day*ug/mL     BID  Drug G #> 451 2.693793e+02    269.379277278281 day*ug/mL     BID  Drug G #> 452 2.391069e+02    239.106894521462 day*ug/mL     BID  Drug G #> 453 2.224063e+02    222.406293443688 day*ug/mL     BID  Drug G #> 454 1.854481e+02    185.448114508666 day*ug/mL     BID  Drug G #> 455 1.822437e+02    182.243690750713 day*ug/mL     BID  Drug G #> 456 1.845306e+02    184.530586946616 day*ug/mL     BID  Drug G #> 457 2.338127e+02    233.812678582435 day*ug/mL     BID  Drug G #> 458 2.132231e+02    213.223083631698 day*ug/mL     BID  Drug G #> 459 2.041419e+02    204.141909145777 day*ug/mL     BID  Drug G #> 460 2.001205e+02    200.120528330938 day*ug/mL     BID  Drug G #> 461 3.205195e+01    32.0519504399199     ug/mL     BID  Drug G #> 462 2.776062e+01    27.7606212520254     ug/mL     BID  Drug G #> 463 2.990598e+01    29.9059789361623     ug/mL     BID  Drug H #> 464 4.562548e+01     45.625483916718     ug/mL     BID  Drug H #> 465 3.403413e+01    34.0341307187731     ug/mL     BID  Drug H #> 466 3.083729e+01    30.8372944676605     ug/mL     BID  Drug H #> 467 2.827417e+01    28.2741738511296     ug/mL     BID  Drug H #> 468 2.489571e+01    24.8957082574301     ug/mL     BID  Drug H #> 469 3.278246e+01    32.7824567239638     ug/mL     BID  Drug H #> 470 2.094198e+01    20.9419825594948     ug/mL     BID  Drug H #> 471 2.310235e+01    23.1023470660459     ug/mL     BID  Drug H #> 472 3.069840e+01    30.6983950954918     ug/mL     BID  Drug H #> 473 3.208383e+01    32.0838254471052     ug/mL     BID  Drug H #> 474 3.328160e+01     33.281597022575     ug/mL     BID  Drug H #> 475 2.689154e+01    26.8915383598325     ug/mL     BID  Drug H #> 476 3.777084e+01    37.7708435826082     ug/mL     BID  Drug H #> 477 2.941983e+01    29.4198282646838     ug/mL     BID  Drug H #> 478 3.236489e+01    32.3648858039452     ug/mL     BID  Drug H #> 479 2.765928e+01    27.6592809718307     ug/mL     BID  Drug H #> 480 4.459249e+01    44.5924937528137     ug/mL     BID  Drug H #> 481 2.725656e+00    2.72565554350297 ml/day/kg     BID  Drug H #> 482 5.334937e+00    5.33493715497149 ml/day/kg     BID  Drug H #> 483 4.786312e+00    4.78631199349361 ml/day/kg     BID  Drug H #> 484 4.968458e+00    4.96845759843166 ml/day/kg     BID  Drug H #> 485 4.303916e+00    4.30391645546196 ml/day/kg     BID  Drug H #> 486 5.968421e+00    5.96842100298099 ml/day/kg     BID  Drug H #> 487 6.476121e+00    6.47612071821176 ml/day/kg     BID  Drug H #> 488 4.532811e+00    4.53281083293232 ml/day/kg     BID  Drug H #> 489 4.435756e+00    4.43575587416563 ml/day/kg     BID  Drug H #> 490 3.678706e+00     3.6787060520376 ml/day/kg     BID  Drug H #> 491 6.147497e+00    6.14749746280844 ml/day/kg     BID  Drug H #> 492 6.212535e+00     6.2125351504717 ml/day/kg     BID  Drug H #> 493 5.158588e+00    5.15858783604358 ml/day/kg     BID  Drug H #> 494 3.237578e+00    3.23757790481116 ml/day/kg     BID  Drug H #> 495 5.260175e+00    5.26017478144207 ml/day/kg     BID  Drug H #> 496 5.162078e+00     5.1620782394036 ml/day/kg     BID  Drug H #> 497 4.812580e+00    4.81258033109917 ml/day/kg     BID  Drug H #> 498 7.183334e+00     7.1833341796057 ml/day/kg     BID  Drug H #> 499 4.610537e+00    4.61053723613999 ml/day/kg     BID  Drug H #> 500 5.437885e+00    5.43788508379327 ml/day/kg     BID  Drug H #> 501 1.196685e+01    11.9668538770102        hr     BID  Drug H #> 502 1.202071e+01    12.0207061265011        hr     BID  Drug H #> 503 6.133203e+00    6.13320286621991        hr     BID  Drug H #> 504 1.097588e+01    10.9758790143515        hr     BID  Drug H #> 505 9.074984e+00    9.07498363047769        hr     BID  Drug H #> 506 9.677453e+00    9.67745331160391        hr     BID  Drug H #> 507 5.332753e+00    5.33275295522064        hr     BID  Drug H #> 508 9.357802e+00    9.35780184155058        hr     BID  Drug H #> 509 9.165453e+00    9.16545334677742        hr     BID  Drug H #> 510 1.138388e+01    11.3838806449804        hr     BID  Drug H #> 511 9.216854e+00    9.21685445473313        hr     BID  Drug H #> 512 1.170380e+01    11.7038030618058        hr     BID  Drug H #> 513 1.303277e+01    13.0327721579817        hr     BID  Drug H #> 514 8.057444e+00     8.0574437333273        hr     BID  Drug H #> 515 1.325065e+01    13.2506468101593        hr     BID  Drug H #> 516 9.044935e+00    9.04493464607706        hr     BID  Drug H #> 517 9.995204e+00    9.99520422131192        hr     BID  Drug H #> 518 6.917983e+00    6.91798293449758        hr     BID  Drug H #> 519 9.940661e+00    9.94066093629947        hr     BID  Drug H #> 520 1.109672e+01    11.0967150432458        hr     BID  Drug H #> 521 4.017339e+00    4.01733868332195        hr     BID  Drug H #> 522 3.462487e+00    3.46248691345843        hr     BID  Drug H #> 523 3.039949e+00     3.0399487644608        hr     BID  Drug H #> 524 2.162042e+00    2.16204177547758        hr     BID  Drug H #> 525 3.318482e+00    3.31848248436165        hr     BID  Drug H #> 526 2.603872e+00     2.6038715031807        hr     BID  Drug H #> 527 4.259190e+00    4.25918951589341        hr     BID  Drug H #> 528 2.468140e+00     2.4681397769112        hr     BID  Drug H #> 529 2.701825e+00    2.70182471946397        hr     BID  Drug I #> 530 2.909028e+00    2.90902801384784        hr     BID  Drug I #> 531 3.655487e+00    3.65548719440919        hr     BID  Drug I #> 532 3.001728e+00    3.00172820515348        hr     BID  Drug I #> 533 2.920457e+00    2.92045657466445        hr     BID  Drug I #> 534 2.959265e+00    2.95926528724271        hr     BID  Drug I #> 535 3.183531e+00    3.18353072464325        hr     BID  Drug I #> 536 3.369116e+00    3.36911599715818        hr     BID  Drug I #> 537 2.432936e+00    2.43293560135496        hr     BID  Drug I #> 538 2.656024e+00    2.65602431857093        hr     BID  Drug I #> 539 4.805290e+00    4.80529007245449        hr     BID  Drug I #> 540 2.569674e+00    2.56967416699386        hr     BID  Drug I #> 541 5.981366e-02  0.0598136609639637      L/hr     BID  Drug I #> 542 5.059267e-02  0.0505926715715636      L/hr     BID  Drug I #> 543 5.017707e-02  0.0501770666329718      L/hr     BID  Drug I #> 544 5.364700e-02  0.0536470026420861      L/hr     BID  Drug I #> 545 3.865679e-02  0.0386567896175236      L/hr     BID  Drug I #> 546 4.852273e-02   0.048522727112721      L/hr     BID  Drug I #> 547 4.820947e-02  0.0482094690432808      L/hr     BID  Drug I #> 548 5.577913e-02  0.0557791295773008      L/hr     BID  Drug I #> 549 2.360682e-02  0.0236068173787631      L/hr     BID  Drug I #> 550 5.140415e-02  0.0514041500468243      L/hr     BID  Drug I #> 551 5.045537e-02  0.0504553693297155      L/hr     BID  Drug I #> 552 5.424366e-02  0.0542436635876486      L/hr     BID  Drug I #> 553 3.779283e-02  0.0377928335638139      L/hr     BID  Drug I #> 554 6.163869e-02  0.0616386851590752      L/hr     BID  Drug I #> 555 5.021936e-02  0.0502193618784825      L/hr     BID  Drug I #> 556 3.397509e-02  0.0339750856052199      L/hr     BID  Drug I #> 557 5.048466e-02  0.0504846631430548      L/hr     BID  Drug I #> 558 4.360797e-02  0.0436079659762418      L/hr     BID  Drug I #> 559 5.574469e-02  0.0557446865479267      L/hr     BID  Drug I #> 560 4.924307e-02  0.0492430713044339      L/hr     BID  Drug I #> 561 4.450401e-03 0.00445040101986545   L/hr/mg     BID  Drug I #> 562 5.263901e-03 0.00526390092639781   L/hr/mg     BID  Drug I #> 563 4.159798e-03 0.00415979823392004   L/hr/mg     BID  Drug I #> 564 4.021430e-03 0.00402143019459275   L/hr/mg     BID  Drug I #> 565 4.157426e-03 0.00415742554333584   L/hr/mg     BID  Drug I #> 566 5.258028e-03 0.00525802803503347   L/hr/mg     BID  Drug I #> 567 6.885781e-03 0.00688578063852627   L/hr/mg     BID  Drug I #> 568 6.132285e-03 0.00613228469251829   L/hr/mg     BID  Drug I #> 569 3.419522e-03 0.00341952201619729   L/hr/mg     BID  Drug I #> 570 4.755805e-03 0.00475580493560046   L/hr/mg     BID  Drug I #> 571 3.421093e-03 0.00342109252922634   L/hr/mg     BID  Drug I #> 572 4.442839e-03 0.00444283851624684   L/hr/mg     BID  Drug I #> 573 4.750608e-03 0.00475060802745212   L/hr/mg     BID  Drug I #> 574 4.355842e-03 0.00435584191965814   L/hr/mg     BID  Drug I #> 575 5.055083e-03 0.00505508311889124   L/hr/mg     BID  Drug I #> 576 3.579471e-03 0.00357947124919533   L/hr/mg     BID  Drug I #> 577 4.063676e-03  0.0040636762174183   L/hr/mg     BID  Drug I #> 578 4.639761e-03 0.00463976086792879   L/hr/mg     BID  Drug I #> 579 5.655336e-03 0.00565533573509659   L/hr/mg     BID  Drug I #> 580 3.493216e-03 0.00349321613109921   L/hr/mg     BID  Drug I #> 581 1.859404e+00    1.85940413197033        mg     BID  Drug I #> 582 1.859404e+00    1.85940413197033        mg     BID  Drug I #> 583 1.265525e+00    1.26552534505872        mg     BID  Drug I #> 584 1.265525e+00    1.26552534505872        mg     BID  Drug I #> 585 1.573342e+00    1.57334171054674        mg     BID  Drug I #> 586 1.573342e+00    1.57334171054674        mg     BID  Drug I #> 587 1.301849e+00     1.3018486912045        mg     BID  Drug I #> 588 1.301849e+00     1.3018486912045        mg     BID  Drug I #> 589 1.735282e+00    1.73528245211133        mg     BID  Drug I #> 590 1.735282e+00    1.73528245211133        mg     BID  Drug I #> 591 1.526295e+00    1.52629480815639        mg     BID  Drug I #> 592 1.526295e+00    1.52629480815639        mg     BID  Drug I #> 593 1.415139e+00    1.41513944351306        mg     BID  Drug I #> 594 1.415139e+00    1.41513944351306        mg     BID  Drug I #> 595 1.887536e+00    1.88753573284349        mg     BID  Drug J #> 596 1.887536e+00    1.88753573284349        mg     BID  Drug J #> 597 1.459179e+00    1.45917926658843        mg     BID  Drug J #> 598 1.459179e+00    1.45917926658843        mg     BID  Drug J #> 599 1.611991e+00    1.61199055541577        mg     BID  Drug J #> 600 1.611991e+00    1.61199055541577        mg     BID  Drug J #> 601 1.828629e+00    1.82862928067855        mg     BID  Drug J #> 602 1.828629e+00    1.82862928067855        mg     BID  Drug J #> 603 1.382464e+00    1.38246363685291        mg     BID  Drug J #> 604 1.382464e+00    1.38246363685291        mg     BID  Drug J #> 605 1.507962e+00    1.50796220314385        mg     BID  Drug J #> 606 1.507962e+00    1.50796220314385        mg     BID  Drug J #> 607 1.434500e+00    1.43449990404704        mg     BID  Drug J #> 608 1.434500e+00    1.43449990404704        mg     BID  Drug J #> 609 1.976796e+00    1.97679630812782        mg     BID  Drug J #> 610 1.976796e+00    1.97679630812782        mg     BID  Drug J #> 611 1.135203e+00    1.13520289866102        mg     BID  Drug J #> 612 1.135203e+00    1.13520289866102        mg     BID  Drug J #> 613 1.906845e+00     1.9068448161695        mg     BID  Drug J #> 614 1.906845e+00     1.9068448161695        mg     BID  Drug J #> 615 1.961348e+00    1.96134763331244        mg     BID  Drug J #> 616 1.961348e+00    1.96134763331244        mg     BID  Drug J #> 617 1.458434e+00    1.45843396966174        mg     BID  Drug J #> 618 1.458434e+00    1.45843396966174        mg     BID  Drug J #> 619 2.095667e+00    2.09566662198212        mg     BID  Drug J #> 620 2.095667e+00    2.09566662198212        mg     BID  Drug J #> 621 1.112410e+01    11.1241017445401         %     BID  Drug J #> 622 1.112410e+01    11.1241017445401         %     BID  Drug J #> 623 1.309804e+01    13.0980442122669         %     BID  Drug J #> 624 1.309804e+01    13.0980442122669         %     BID  Drug J #> 625 1.603946e+01     16.039461234946         %     BID  Drug J #> 626 1.603946e+01     16.039461234946         %     BID  Drug J #> 627 1.284554e+01    12.8455426253741         %     BID  Drug J #> 628 1.284554e+01    12.8455426253741         %     BID  Drug J #> 629 1.402493e+01    14.0249256128241         %     BID  Drug J #> 630 1.402493e+01    14.0249256128241         %     BID  Drug J #> 631 1.389169e+01    13.8916919791415         %     BID  Drug J #> 632 1.389169e+01    13.8916919791415         %     BID  Drug J #> 633 1.962518e+01    19.6251776848061         %     BID  Drug J #> 634 1.962518e+01    19.6251776848061         %     BID  Drug J #> 635 1.723888e+01    17.2388808338258         %     BID  Drug J #> 636 1.723888e+01    17.2388808338258         %     BID  Drug J #> 637 1.327166e+01    13.2716645974904         %     BID  Drug J #> 638 1.327166e+01    13.2716645974904         %     BID  Drug J #> 639 1.283775e+01     12.837752640077         %     BID  Drug J #> 640 1.283775e+01     12.837752640077         %     BID  Drug J #> 641 1.521676e+01    15.2167647627425         %     BID  Drug J #> 642 1.521676e+01    15.2167647627425         %     BID  Drug J #> 643 1.958348e+01    19.5834819400363         %     BID  Drug J #> 644 1.958348e+01    19.5834819400363         %     BID  Drug J #> 645 1.395994e+01    13.9599364922328         %     BID  Drug J #> 646 1.395994e+01    13.9599364922328         %     BID  Drug J #> 647 1.410760e+01     14.107602151713         %     BID  Drug J #> 648 1.410760e+01     14.107602151713         %     BID  Drug J #> 649 1.893647e+01     18.936473853621         %     BID  Drug J #> 650 1.893647e+01     18.936473853621         %     BID  Drug J #> 651 1.844963e+01     18.449630669667         %     BID  Drug J #> 652 1.844963e+01     18.449630669667         %     BID  Drug J #> 653 1.589160e+01      15.89160304836         %     BID  Drug J #> 654 1.589160e+01      15.89160304836         %     BID  Drug J #> 655 1.822207e+01    18.2220706371774         %     BID  Drug J #> 656 1.822207e+01    18.2220706371774         %     BID  Drug J #> 657 1.656440e+01    16.5644027289067         %     BID  Drug J #> 658 1.656440e+01    16.5644027289067         %     BID  Drug J #> 659 1.340679e+01    13.4067868033689         %     BID  Drug J #> 660 1.340679e+01    13.4067868033689         %     BID  Drug J"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqlqc.html","id":null,"dir":"Reference","previous_headings":"","what":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"Function generating random EORTC QLQ-C30 V3 Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqlqc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"","code":"radqlqc(adsl, percent, number, seed = NULL, cached = FALSE)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqlqc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). percent (numeric) Completion - Completed least y percent questions, 1 record per visit number (numeric) Completion - Completed least x question(s), 1 record per visit seed (numeric) Seed use reproducible random number generation. cached boolean whether cached ADQLQC data cadqlqc returned new data generated. set TRUE arguments radqlqc ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqlqc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqlqc.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"Keys: STUDYID, USUBJID, PARCAT1N, PARAMCD, BASETYPE, AVISITN, ATPTN, ADTM, QSSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqlqc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1)  adqlqc <- radqlqc(adsl, seed = 1, percent = 80, number = 2) adqlqc #> # A tibble: 2,860 × 50 #>    STUDYID USUBJID   SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY TRT01P #>    <chr>   <chr>     <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct>  #>  1 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  2 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  3 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  4 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  5 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  6 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  7 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  8 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  9 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #> 10 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #> # ℹ 2,850 more rows #> # ℹ 39 more variables: TRT01A <fct>, REGION1 <fct>, ITTFL <fct>, SAFFL <fct>, #> #   TRTSDTM <dttm>, TRTEDTM <dttm>, QSSEQ <int>, QSCAT <fct>, QSSCAT <fct>, #> #   QSDTC <dttm>, QSSTAT <fct>, QSSTRESC <fct>, QSSTRESU <fct>, QSORRES <fct>, #> #   QSORRESU <fct>, QSTEST <fct>, QSTESTCD <fct>, QSREASND <fct>, #> #   QSEVLINT <fct>, VISIT <fct>, VISITNUM <int>, ASEQ <int>, PARAM <fct>, #> #   PARAMCD <fct>, PARCAT1 <fct>, PARCAT1N <dbl>, PARCAT2 <fct>, AVAL <dbl>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqs.html","id":null,"dir":"Reference","previous_headings":"","what":"Questionnaires Analysis Dataset (ADQS) — radqs","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"Function generating random Questionnaires Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"","code":"radqs(   adsl,   param = c(\"BFI All Questions\", \"Fatigue Interference\",     \"Function/Well-Being (GF1,GF3,GF7)\", \"Treatment Side Effects (GP2,C5,GP5)\",     \"FKSI-19 All Questions\"),   paramcd = c(\"BFIALL\", \"FATIGI\", \"FKSI-FWB\", \"FKSI-TSE\", \"FKSIALL\"),   visit_format = \"WEEK\",   n_assessments = 5L,   n_days = 5L,   seed = NULL,   na_percentage = 0,   na_vars = list(LOQFL = c(NA, 0.1), ABLFL2 = c(1234, 0.1), ABLFL = c(1235, 0.1), CHG2 =     c(1235, 0.1), PCHG2 = c(1235, 0.1), CHG = c(1234, 0.1), PCHG = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADQS data cadqs returned new data generated. set TRUE arguments radqs ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, AVISITN","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqs.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"npaszty","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqs.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adqs <- radqs(adsl, visit_format = \"WEEK\", n_assessments = 7L, seed = 2) adqs #> # A tibble: 450 × 73 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 440 more rows #> # ℹ 62 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  adqs <- radqs(adsl, visit_format = \"CYCLE\", n_assessments = 3L, seed = 2) adqs #> # A tibble: 800 × 73 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 790 more rows #> # ℹ 62 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radrs.html","id":null,"dir":"Reference","previous_headings":"","what":"Tumor Response Analysis Dataset (ADRS) — radrs","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"Function generating random Tumor Response Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radrs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"","code":"radrs(   adsl,   avalc = NULL,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(AVISIT = c(NA, 0.1), AVAL = c(1234, 0.1), AVALC = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radrs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). avalc (character vector) Analysis value categories. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADRS data cadrs returned new data generated. set TRUE arguments radrs ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radrs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radrs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"One record per subject per parameter per analysis visit per analysis date. SDTM variables populated new records coming single records. Otherwise, SDTM variables left blank. Keys: STUDYID, USUBJID, PARAMCD, AVISITN, ADT, RSSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radrs.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adrs <- radrs(adsl, seed = 2) adrs #> # A tibble: 80 × 65 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 70 more rows #> # ℹ 54 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsaftte.html","id":null,"dir":"Reference","previous_headings":"","what":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"Function generate random Time--Safety Event Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsaftte.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"","code":"radsaftte(adsl, ...)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsaftte.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). ... Additional arguments passed radaette","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsaftte.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsaftte.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"Keys: STUDYID, USUBJID, PARAMCD","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsaftte.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adsaftte <- radsaftte(adsl, seed = 2) adsaftte #> # A tibble: 90 × 66 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 80 more rows #> # ℹ 55 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsl.html","id":null,"dir":"Reference","previous_headings":"","what":"Subject-Level Analysis Dataset (ADSL) — radsl","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"Subject-Level Analysis Dataset (ADSL) used provide variables describe attributes subject. ADSL source subject-level variables used analysis data sets, population flags treatment variables. one ADSL per study. ADSL related metadata required CDISC-based submission data clinical trial even analysis data sets submitted.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsl.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"","code":"radsl(   N = 400,   study_duration = 2,   seed = NULL,   with_trt02 = TRUE,   na_percentage = 0,   na_vars = list(AGE = NA, SEX = NA, RACE = NA, STRATA1 = NA, STRATA2 = NA, BMRKR1 =     c(seed = 1234, percentage = 0.1), BMRKR2 = c(1234, 0.1), BEP01FL = NA),   ae_withdrawal_prob = 0.05,   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsl.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"N (numeric) Number patients. study_duration (numeric) Duration study years. seed (numeric) Seed use reproducible random number generation. with_trt02 (logical) period 2 added. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. ae_withdrawal_prob (proportion) Probability least one Adverse Event leading withdrawal study drug. cached boolean whether cached ADSL data cadsl returned new data generated. set TRUE arguments radsl ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsl.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsl.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"One record per subject. Keys: STUDYID, USUBJID","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsl.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1) adsl #> # A tibble: 10 × 55 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-C… id-10  CHN-3     35 YEARS M     ASIAN NOT H… CHN     N     #>  2 AB12345 AB12345-J… id-7   JPN-4     30 YEARS F     ASIAN NOT H… JPN     N     #>  3 AB12345 AB12345-U… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #>  4 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  5 AB12345 AB12345-C… id-2   CHN-11    35 YEARS M     BLAC… NOT H… CHN     N     #>  6 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  7 AB12345 AB12345-C… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #>  8 AB12345 AB12345-R… id-4   RUS-1     36 YEARS M     BLAC… NOT H… RUS     N     #>  9 AB12345 AB12345-R… id-6   RUS-1     36 YEARS F     ASIAN NOT H… RUS     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 44 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, #> #   AP01SDTM <dttm>, AP01EDTM <dttm>, AP02SDTM <dttm>, AP02EDTM <dttm>, …  adsl <- radsl(   N = 10, seed = 1,   na_percentage = 0.1,   na_vars = list(     DTHDT = c(seed = 1234, percentage = 0.1),     LSTALVDT = c(seed = 1234, percentage = 0.1)   ) ) adsl #> # A data frame: 10 × 55 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-C… id-10  CHN-3     35 YEARS M     ASIAN NOT H… CHN     N     #>  2 AB12345 AB12345-J… id-7   JPN-4     30 YEARS F     ASIAN NOT H… JPN     N     #>  3 AB12345 AB12345-U… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #>  4 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  5 AB12345 AB12345-C… id-2   CHN-11    35 YEARS M     BLAC… NOT H… CHN     N     #>  6 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  7 AB12345 AB12345-C… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #>  8 AB12345 AB12345-R… id-4   RUS-1     36 YEARS M     BLAC… NOT H… RUS     N     #>  9 AB12345 AB12345-R… id-6   RUS-1     36 YEARS F     ASIAN NOT H… RUS     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 44 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, #> #   AP01SDTM <dttm>, AP01EDTM <dttm>, AP02SDTM <dttm>, AP02EDTM <dttm>, …  adsl <- radsl(N = 10, seed = 1, na_percentage = .1) adsl #> # A data frame: 10 × 55 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-C… id-10  CHN-3     NA YEARS M     NA    NOT H… CHN     N     #>  2 AB12345 AB12345-J… id-7   JPN-4     30 YEARS NA    ASIAN NOT H… JPN     N     #>  3 AB12345 AB12345-U… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #>  4 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  5 AB12345 AB12345-C… id-2   CHN-11    35 YEARS M     BLAC… NOT H… CHN     N     #>  6 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  7 AB12345 AB12345-C… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #>  8 AB12345 AB12345-R… id-4   RUS-1     36 YEARS M     BLAC… NOT H… RUS     N     #>  9 AB12345 AB12345-R… id-6   RUS-1     36 YEARS F     ASIAN NOT H… RUS     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 44 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, #> #   AP01SDTM <dttm>, AP01EDTM <dttm>, AP02SDTM <dttm>, AP02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsub.html","id":null,"dir":"Reference","previous_headings":"","what":"Subcategory Analysis Dataset (ADSUB) — radsub","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"Function generating random Subcategory Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsub.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"","code":"radsub(   adsl,   param = c(\"Baseline Weight\", \"Baseline Height\", \"Baseline BMI\", \"Baseline ECOG\",     \"Baseline Biomarker Mutation\"),   paramcd = c(\"BWGHTSI\", \"BHGHTSI\", \"BBMISI\", \"BECOG\", \"BBMRKR1\"),   seed = NULL,   na_percentage = 0,   na_vars = list(),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsub.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADSUB data cadsub returned new data generated. set TRUE arguments radsub ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsub.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsub.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"One record per subject. Keys: STUDYID, USUBJID, PARAMCD, AVISITN, ADTM, SRCSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsub.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"tomlinsj, npaszty, Xuefeng Hou, dipietrc","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsub.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adsub <- radsub(adsl, seed = 2) adsub #> # A tibble: 50 × 65 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  8 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 40 more rows #> # ℹ 54 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtr.html","id":null,"dir":"Reference","previous_headings":"","what":"Tumor Response Analysis Dataset (ADTR) — radtr","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"Function generating random Tumor Response Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"","code":"radtr(   adsl,   param = c(\"Sum of Longest Diameter by Investigator\"),   paramcd = c(\"SLDINV\"),   seed = NULL,   cached = FALSE,   ... )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtr.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. seed (numeric) Seed use reproducible random number generation. cached boolean whether cached ADTR data cadtr returned new data generated. set TRUE arguments radtr ignored. ... Additional arguments passed radrs.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtr.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtr.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, BASETYPE, AVISITN, DTYPE","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtr.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"tomlinsj, npaszty, Xuefeng Hou, dipietrc","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtr.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adtr <- radtr(adsl, seed = 2) adtr #>    STUDYID             USUBJID SUBJID SITEID AGE  AGEU SEX #> 1  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 2  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 3  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 4  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 5  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 6  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 7  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 8  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 9  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 10 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 11 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 12 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 13 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 14 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 15 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 16 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 17 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 18 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 19 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 20 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 21 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 22 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 23 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 24 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 25 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 26 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 27 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 28 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 29 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 30 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 31 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 32 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 33 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 34 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 35 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 36 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 37 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 38 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 39 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 40 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 41 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 42 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 43 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 44 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 45 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 46 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 47 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 48 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 49 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 50 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 51 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 52 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 53 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 54 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 55 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 56 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 57 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 58 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 59 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 60 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 61 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 62 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 63 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 64 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 65 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 66 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 67 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 68 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 69 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 70 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #>                                RACE                 ETHNIC COUNTRY DTHFL #> 1         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 2         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 3         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 4         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 5         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 6         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 7         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 8                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 9                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 10                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 11                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 12                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 13                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 14                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 15                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 16                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 17                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 18                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 19                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 20                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 21                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 22        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 23        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 24        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 25        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 26        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 27        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 28        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 29                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 30                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 31                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 32                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 33                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 34                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 35                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 36                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 37                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 38                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 39                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 40                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 41                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 42                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 43                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 44                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 45                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 46                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 47                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 48                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 49                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 50        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 51        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 52        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 53        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 54        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 55        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 56        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 57                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 58                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 59                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 60                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 61                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 62                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 63                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 64 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 65 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 66 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 67 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 68 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 69 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 70 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #>            INVID         INVNAM            ARM ARMCD         ACTARM ACTARMCD #> 1   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 2   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 3   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 4   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 5   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 6   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 7   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 8   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 9   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 10  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 11  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 12  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 13  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 14  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 15 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 16 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 17 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 18 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 19 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 20 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 21 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 22 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 23 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 24 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 25 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 26 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 27 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 28 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 29  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 30  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 31  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 32  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 33  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 34  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 35  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 36  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 37  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 38  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 39  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 40  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 41  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 42  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 43  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 44  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 45  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 46  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 47  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 48  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 49  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 50  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 51  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 52  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 53  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 54  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 55  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 56  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 57  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 58  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 59  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 60  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 61  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 62  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 63  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 64 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 65 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 66 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 67 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 68 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 69 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 70 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #>            TRT01P         TRT01A         TRT02P         TRT02A       REGION1 #> 1  C: Combination C: Combination      A: Drug X C: Combination South America #> 2  C: Combination C: Combination      A: Drug X C: Combination South America #> 3  C: Combination C: Combination      A: Drug X C: Combination South America #> 4  C: Combination C: Combination      A: Drug X C: Combination South America #> 5  C: Combination C: Combination      A: Drug X C: Combination South America #> 6  C: Combination C: Combination      A: Drug X C: Combination South America #> 7  C: Combination C: Combination      A: Drug X C: Combination South America #> 8       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 9       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 10      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 11      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 12      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 13      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 14      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 15 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 16 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 17 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 18 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 19 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 20 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 21 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 22      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 23      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 24      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 25      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 26      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 27      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 28      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 29     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 30     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 31     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 32     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 33     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 34     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 35     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 36      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 37      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 38      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 39      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 40      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 41      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 42      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 43      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 44      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 45      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 46      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 47      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 48      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 49      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 50     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 51     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 52     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 53     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 54     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 55     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 56     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 57      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 58      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 59      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 60      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 61      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 62      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 63      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 64      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 65      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 66      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 67      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 68      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 69      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 70      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #>    STRATA1 STRATA2    BMRKR1 BMRKR2 ITTFL SAFFL BMEASIFL BEP01FL AEWITHFL #> 1        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 2        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 3        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 4        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 5        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 6        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 7        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 8        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 9        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 10       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 11       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 12       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 13       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 14       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 15       B      S1  8.926907    LOW     Y     Y        N       N        N #> 16       B      S1  8.926907    LOW     Y     Y        N       N        N #> 17       B      S1  8.926907    LOW     Y     Y        N       N        N #> 18       B      S1  8.926907    LOW     Y     Y        N       N        N #> 19       B      S1  8.926907    LOW     Y     Y        N       N        N #> 20       B      S1  8.926907    LOW     Y     Y        N       N        N #> 21       B      S1  8.926907    LOW     Y     Y        N       N        N #> 22       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 23       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 24       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 25       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 26       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 27       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 28       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 29       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 30       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 31       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 32       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 33       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 34       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 35       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 36       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 37       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 38       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 39       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 40       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 41       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 42       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 43       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 44       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 45       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 46       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 47       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 48       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 49       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 50       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 51       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 52       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 53       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 54       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 55       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 56       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 57       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 58       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 59       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 60       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 61       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 62       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 63       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 64       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 65       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 66       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 67       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 68       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 69       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 70       C      S1  7.254058    LOW     Y     Y        Y       N        N #>        RANDDT             TRTSDTM             TRTEDTM           TRT01SDTM #> 1  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 2  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 3  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 4  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 5  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 6  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 7  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 8  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 9  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 10 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 11 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 12 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 13 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 14 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 15 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 16 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 17 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 18 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 19 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 20 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 21 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 22 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 23 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 24 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 25 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 26 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 27 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 28 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 29 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 30 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 31 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 32 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 33 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 34 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 35 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 36 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 37 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 38 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 39 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 40 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 41 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 42 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 43 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 44 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 45 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 46 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 47 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 48 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 49 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 50 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 51 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 52 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 53 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 54 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 55 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 56 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 57 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 58 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 59 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 60 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 61 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 62 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 63 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 64 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 65 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 66 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 67 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 68 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 69 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 70 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #>              TRT01EDTM           TRT02SDTM           TRT02EDTM #> 1  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 2  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 3  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 4  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 5  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 6  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 7  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 8  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 9  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 10 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 11 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 12 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 13 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 14 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 15 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 16 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 17 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 18 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 19 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 20 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 21 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 22                <NA>                <NA>                <NA> #> 23                <NA>                <NA>                <NA> #> 24                <NA>                <NA>                <NA> #> 25                <NA>                <NA>                <NA> #> 26                <NA>                <NA>                <NA> #> 27                <NA>                <NA>                <NA> #> 28                <NA>                <NA>                <NA> #> 29 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 30 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 31 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 32 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 33 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 34 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 35 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 36 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 37 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 38 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 39 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 40 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 41 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 42 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 43 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 44 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 45 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 46 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 47 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 48 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 49 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 50 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 51 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 52 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 53 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 54 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 55 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 56 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 57 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 58 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 59 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 60 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 61 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 62 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 63 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 64 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 65 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 66 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 67 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 68 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 69 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 70 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #>               AP01SDTM            AP01EDTM            AP02SDTM #> 1  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 2  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 3  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 4  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 5  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 6  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 7  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 8  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 9  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 10 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 11 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 12 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 13 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 14 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 15 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 16 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 17 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 18 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 19 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 20 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 21 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 22 2020-02-26 18:15:59                <NA>                <NA> #> 23 2020-02-26 18:15:59                <NA>                <NA> #> 24 2020-02-26 18:15:59                <NA>                <NA> #> 25 2020-02-26 18:15:59                <NA>                <NA> #> 26 2020-02-26 18:15:59                <NA>                <NA> #> 27 2020-02-26 18:15:59                <NA>                <NA> #> 28 2020-02-26 18:15:59                <NA>                <NA> #> 29 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 30 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 31 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 32 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 33 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 34 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 35 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 36 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 37 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 38 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 39 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 40 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 41 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 42 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 43 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 44 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 45 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 46 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 47 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 48 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 49 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 50 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 51 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 52 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 53 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 54 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 55 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 56 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 57 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 58 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 59 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 60 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 61 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 62 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 63 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 64 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 65 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 66 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 67 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 68 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 69 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 70 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #>               AP02EDTM       EOSSTT       EOTSTT      EOSDT EOSDY       DCSREAS #> 1  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 2  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 3  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 4  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 5  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 6  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 7  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 8  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 9  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 10 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 11 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 12 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 13 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 14 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 15 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 16 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 17 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 18 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 19 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 20 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 21 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 22                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 23                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 24                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 25                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 26                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 27                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 28                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 29 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 30 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 31 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 32 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 33 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 34 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 35 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 36 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 37 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 38 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 39 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 40 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 41 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 42 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 43 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 44 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 45 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 46 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 47 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 48 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 49 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 50 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 51 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 52 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 53 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 54 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 55 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 56 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 57 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 58 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 59 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 60 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 61 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 62 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 63 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 64 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 65 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 66 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 67 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 68 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 69 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 70 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #>         DTHDT             DTHCAUS              DTHCAT LDDTHELD LDDTHGR1 #> 1        <NA>                <NA>                <NA>       NA     <NA> #> 2        <NA>                <NA>                <NA>       NA     <NA> #> 3        <NA>                <NA>                <NA>       NA     <NA> #> 4        <NA>                <NA>                <NA>       NA     <NA> #> 5        <NA>                <NA>                <NA>       NA     <NA> #> 6        <NA>                <NA>                <NA>       NA     <NA> #> 7        <NA>                <NA>                <NA>       NA     <NA> #> 8  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 9  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 10 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 11 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 12 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 13 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 14 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 15 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 16 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 17 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 18 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 19 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 20 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 21 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 22       <NA>                <NA>                <NA>       NA     <NA> #> 23       <NA>                <NA>                <NA>       NA     <NA> #> 24       <NA>                <NA>                <NA>       NA     <NA> #> 25       <NA>                <NA>                <NA>       NA     <NA> #> 26       <NA>                <NA>                <NA>       NA     <NA> #> 27       <NA>                <NA>                <NA>       NA     <NA> #> 28       <NA>                <NA>                <NA>       NA     <NA> #> 29       <NA>                <NA>                <NA>       NA     <NA> #> 30       <NA>                <NA>                <NA>       NA     <NA> #> 31       <NA>                <NA>                <NA>       NA     <NA> #> 32       <NA>                <NA>                <NA>       NA     <NA> #> 33       <NA>                <NA>                <NA>       NA     <NA> #> 34       <NA>                <NA>                <NA>       NA     <NA> #> 35       <NA>                <NA>                <NA>       NA     <NA> #> 36       <NA>                <NA>                <NA>       NA     <NA> #> 37       <NA>                <NA>                <NA>       NA     <NA> #> 38       <NA>                <NA>                <NA>       NA     <NA> #> 39       <NA>                <NA>                <NA>       NA     <NA> #> 40       <NA>                <NA>                <NA>       NA     <NA> #> 41       <NA>                <NA>                <NA>       NA     <NA> #> 42       <NA>                <NA>                <NA>       NA     <NA> #> 43       <NA>                <NA>                <NA>       NA     <NA> #> 44       <NA>                <NA>                <NA>       NA     <NA> #> 45       <NA>                <NA>                <NA>       NA     <NA> #> 46       <NA>                <NA>                <NA>       NA     <NA> #> 47       <NA>                <NA>                <NA>       NA     <NA> #> 48       <NA>                <NA>                <NA>       NA     <NA> #> 49       <NA>                <NA>                <NA>       NA     <NA> #> 50       <NA>                <NA>                <NA>       NA     <NA> #> 51       <NA>                <NA>                <NA>       NA     <NA> #> 52       <NA>                <NA>                <NA>       NA     <NA> #> 53       <NA>                <NA>                <NA>       NA     <NA> #> 54       <NA>                <NA>                <NA>       NA     <NA> #> 55       <NA>                <NA>                <NA>       NA     <NA> #> 56       <NA>                <NA>                <NA>       NA     <NA> #> 57       <NA>                <NA>                <NA>       NA     <NA> #> 58       <NA>                <NA>                <NA>       NA     <NA> #> 59       <NA>                <NA>                <NA>       NA     <NA> #> 60       <NA>                <NA>                <NA>       NA     <NA> #> 61       <NA>                <NA>                <NA>       NA     <NA> #> 62       <NA>                <NA>                <NA>       NA     <NA> #> 63       <NA>                <NA>                <NA>       NA     <NA> #> 64       <NA>                <NA>                <NA>       NA     <NA> #> 65       <NA>                <NA>                <NA>       NA     <NA> #> 66       <NA>                <NA>                <NA>       NA     <NA> #> 67       <NA>                <NA>                <NA>       NA     <NA> #> 68       <NA>                <NA>                <NA>       NA     <NA> #> 69       <NA>                <NA>                <NA>       NA     <NA> #> 70       <NA>                <NA>                <NA>       NA     <NA> #>      LSTALVDT DTHADY ADTHAUT AGEGR1   TRTDURD DCSREAS_GRP #> 1  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 2  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 3  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 4  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 5  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 6  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 7  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 8  2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 9  2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 10 2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 11 2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 12 2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 13 2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 14 2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 15 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 16 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 17 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 18 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 19 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 20 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 21 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 22       <NA>     NA    <NA>    <65        NA        <NA> #> 23       <NA>     NA    <NA>    <65        NA        <NA> #> 24       <NA>     NA    <NA>    <65        NA        <NA> #> 25       <NA>     NA    <NA>    <65        NA        <NA> #> 26       <NA>     NA    <NA>    <65        NA        <NA> #> 27       <NA>     NA    <NA>    <65        NA        <NA> #> 28       <NA>     NA    <NA>    <65        NA        <NA> #> 29 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 30 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 31 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 32 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 33 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 34 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 35 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 36 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 37 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 38 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 39 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 40 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 41 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 42 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 43 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 44 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 45 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 46 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 47 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 48 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 49 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 50 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 51 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 52 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 53 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 54 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 55 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 56 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 57 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 58 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 59 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 60 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 61 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 62 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 63 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 64 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 65 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 66 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 67 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 68 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 69 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 70 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #>                                      PARAM PARAMCD                AVISIT #> 1  Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 2  Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 3  Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 4  Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 5  Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 6  Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 7  Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 8  Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 9  Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 10 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 11 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 12 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 13 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 14 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 15 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 16 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 17 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 18 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 19 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 20 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 21 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 22 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 23 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 24 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 25 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 26 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 27 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 28 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 29 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 30 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 31 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 32 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 33 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 34 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 35 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 36 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 37 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 38 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 39 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 40 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 41 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 42 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 43 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 44 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 45 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 46 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 47 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 48 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 49 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 50 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 51 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 52 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 53 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 54 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 55 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 56 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 57 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 58 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 59 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 60 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 61 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 62 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 63 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 64 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 65 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 66 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 67 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 68 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 69 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 70 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #>    AVISITN       ADTM  ADY   DTYPE      AVAL            AVALC AVALU     BASE #> 1      999 2022-12-07  689         170.92083 170.920832028446    mm 113.2925 #> 2        4 2022-12-20  702 MINIMUM 129.31849 129.318489083911    mm 113.2925 #> 3       -1 2020-10-09 -100         176.74793 176.747928468497    mm 113.2925 #> 4        0 2021-01-17    0                NA             <NA>    mm 113.2925 #> 5        2 2022-10-21  642         155.21502 155.215022960478    mm 113.2925 #> 6        4 2022-12-20  702         129.31849 129.318489083911    mm 113.2925 #> 7      999 2021-10-16  272         186.12497  186.12497059324    mm 113.2925 #> 8      999 2020-09-07  230         162.83456 162.834559197379    mm 137.2934 #> 9        4 2021-01-03  348         203.88264 203.882642391259    mm 137.2934 #> 10     999 2021-08-17  574         177.21001 177.210013002554    mm 137.2934 #> 11     999 2020-09-07  230 MINIMUM 162.83456 162.834559197379    mm 137.2934 #> 12       0 2020-01-21    0                NA             <NA>    mm 137.2934 #> 13       2 2020-11-04  288         192.00660 192.006595354685    mm 137.2934 #> 14      -1 2019-10-13 -100         134.70663 134.706625614629    mm 137.2934 #> 15       4 2021-08-28  483         168.40263 168.402625087087    mm 132.9968 #> 16     999 2021-04-27  360 MINIMUM 133.52191 133.521905548814    mm 132.9968 #> 17      -1 2020-01-23 -100         142.36212 142.362118285105    mm 132.9968 #> 18       2 2021-06-29  423         134.27664 134.276636235556    mm 132.9968 #> 19     999 2020-08-19  109         135.26523 135.265230236085    mm 132.9968 #> 20       0 2020-05-02    0                NA             <NA>    mm 132.9968 #> 21     999 2021-04-27  360         133.52191 133.521905548814    mm 132.9968 #> 22       0 2020-02-26    0                NA             <NA>    mm 141.9365 #> 23      -1 2019-11-18 -100         139.30736 139.307364831736    mm 141.9365 #> 24     999 2021-03-06  374         198.01823 198.018230416784    mm 141.9365 #> 25       2 2021-05-26  455         132.88408 132.884083286846    mm 141.9365 #> 26     999 2020-03-05    8         133.57914  133.57913565285    mm 141.9365 #> 27       4 2021-07-25  515 MINIMUM 121.63978 121.639776669181    mm 141.9365 #> 28       4 2021-07-25  515         121.63978 121.639776669181    mm 141.9365 #> 29       2 2020-01-25  303         209.04787 209.047870741207    mm 161.6451 #> 30       4 2020-03-25  363         152.92758 152.927578195138    mm 161.6451 #> 31       0 2019-03-28    0                NA             <NA>    mm 161.6451 #> 32     999 2021-11-14  962         187.63126 187.631264810984    mm 161.6451 #> 33     999 2020-07-05  465 MINIMUM 111.73624 111.736235465107    mm 161.6451 #> 34     999 2020-07-05  465         111.73624 111.736235465107    mm 161.6451 #> 35      -1 2018-12-18 -100         171.03331 171.033308539064    mm 161.6451 #> 36       2 2022-11-05  861         153.31581 153.315812444564    mm 117.4207 #> 37     999 2023-03-28 1004         179.47970 179.479703823713    mm 117.4207 #> 38     999 2022-05-03  675         173.19144 173.191438067149    mm 117.4207 #> 39       0 2020-06-27    0                NA             <NA>    mm 117.4207 #> 40       2 2022-11-05  861 MINIMUM 153.31581 153.315812444564    mm 117.4207 #> 41       4 2023-01-04  921         155.42461 155.424614142239    mm 117.4207 #> 42      -1 2020-03-19 -100         174.64144 174.641438730238    mm 117.4207 #> 43       4 2021-09-18  727 MINIMUM 120.75645 120.756454557208    mm 107.3777 #> 44     999 2020-12-11  446         122.32514 122.325137102402    mm 107.3777 #> 45       0 2019-09-22    0                NA             <NA>    mm 107.3777 #> 46     999 2020-09-13  357         124.91752 124.917520384125    mm 107.3777 #> 47      -1 2019-06-14 -100         170.10272 170.102716143127    mm 107.3777 #> 48       2 2021-07-20  667         142.91768  142.91768207549    mm 107.3777 #> 49       4 2021-09-18  727         120.75645 120.756454557208    mm 107.3777 #> 50      -1 2020-05-20 -100         116.29608 116.296079891356    mm 161.1686 #> 51       2 2021-07-21  327         207.32206 207.322064439334    mm 161.1686 #> 52       4 2021-09-19  387         177.35987 177.359868282648    mm 161.1686 #> 53       0 2020-08-28    0                NA             <NA>    mm 161.1686 #> 54     999 2021-02-25  181 MINIMUM 125.44212 125.442123033571    mm 161.1686 #> 55     999 2021-10-20  418         128.86572 128.865720965572    mm 161.1686 #> 56     999 2021-02-25  181         125.44212 125.442123033571    mm 161.1686 #> 57       0 2020-10-26    0                NA             <NA>    mm 163.2708 #> 58      -1 2020-07-18 -100         151.82471 151.824708256163    mm 163.2708 #> 59     999 2021-04-09  165         125.77553 125.775527169834    mm 163.2708 #> 60     999 2023-03-25  880         195.61622 195.616215766854    mm 163.2708 #> 61       4 2023-02-09  836 MINIMUM  82.85676 82.8567640271941    mm 163.2708 #> 62       2 2022-12-11  776         102.75526  102.75525794363    mm 163.2708 #> 63       4 2023-02-09  836          82.85676 82.8567640271941    mm 163.2708 #> 64     999 2020-06-13  240 MINIMUM 137.60168  137.60167522998    mm 181.6170 #> 65     999 2021-12-03  778         152.16982 152.169817521355    mm 181.6170 #> 66       4 2022-04-04  900         178.59575 178.595745543059    mm 181.6170 #> 67     999 2020-06-13  240         137.60168  137.60167522998    mm 181.6170 #> 68      -1 2019-07-09 -100         148.93469 148.934693049719    mm 181.6170 #> 69       2 2022-02-03  840         148.18341 148.183410802958    mm 181.6170 #> 70       0 2019-10-17    0                NA             <NA>    mm 181.6170 #>    ABLFL         CHG        PCHG ONTRTFL ANL01FL ANL02FL ANL03FL #> 1         57.6283037  50.8668175       Y       Y                 #> 2         16.0259607  14.1456466       Y                       Y #> 3                 NA          NA                                 #> 4      Y          NA          NA                       Y       Y #> 5         41.9224946  37.0037594       Y       Y                 #> 6         16.0259607  14.1456466       Y       Y       Y         #> 7         72.8324422  64.2870658               Y                 #> 8         25.5411754  18.6033549       Y       Y                 #> 9         66.5892586  48.5014331       Y       Y                 #> 10        39.9166292  29.0739642               Y       Y         #> 11        25.5411754  18.6033549       Y                       Y #> 12     Y          NA          NA                       Y       Y #> 13        54.7132116  39.8513097       Y       Y                 #> 14                NA          NA                                 #> 15        35.4058146  26.6215517       Y       Y       Y         #> 16         0.5250951   0.3948178       Y                       Y #> 17                NA          NA                                 #> 18         1.2798258   0.9622981       Y       Y                 #> 19         2.2684198   1.7056197       Y       Y                 #> 20     Y          NA          NA                       Y       Y #> 21         0.5250951   0.3948178               Y                 #> 22     Y          NA          NA                       Y       Y #> 23                NA          NA                                 #> 24        56.0817767  39.5118909       Y       Y                 #> 25        -9.0523704  -6.3777629       Y       Y                 #> 26        -8.3573181  -5.8880702               Y                 #> 27       -20.2966771 -14.2998339       Y                       Y #> 28       -20.2966771 -14.2998339       Y       Y       Y         #> 29        47.4028071  29.3252426       Y       Y                 #> 30        -8.7174854  -5.3929797       Y       Y                 #> 31     Y          NA          NA                       Y       Y #> 32        25.9862012  16.0760871       Y       Y       Y         #> 33       -49.9088282 -30.8755659       Y                       Y #> 34       -49.9088282 -30.8755659               Y                 #> 35                NA          NA                                 #> 36        35.8951600  30.5697160       Y       Y                 #> 37        62.0590514  52.8519048       Y       Y       Y         #> 38        55.7707856  47.4965728               Y                 #> 39     Y          NA          NA                       Y       Y #> 40        35.8951600  30.5697160       Y                       Y #> 41        38.0039617  32.3656537       Y       Y                 #> 42                NA          NA                                 #> 43        13.3787815  12.4595562       Y                       Y #> 44        14.9474641  13.9204582       Y       Y                 #> 45     Y          NA          NA                       Y       Y #> 46        17.5398474  16.3347248               Y                 #> 47                NA          NA                                 #> 48        35.5400090  33.0981367       Y       Y                 #> 49        13.3787815  12.4595562       Y       Y       Y         #> 50                NA          NA                                 #> 51        46.1534587  28.6367549       Y       Y                 #> 52        16.1912625  10.0461640       Y       Y                 #> 53     Y          NA          NA                       Y       Y #> 54       -35.7264827 -22.1671476       Y                       Y #> 55       -32.3028848 -20.0429138       Y       Y       Y         #> 56       -35.7264827 -22.1671476               Y                 #> 57     Y          NA          NA                       Y       Y #> 58                NA          NA                                 #> 59       -37.4952615 -22.9650765               Y                 #> 60        32.3454271  19.8109089       Y       Y       Y         #> 61       -80.4140246 -49.2519362       Y                       Y #> 62       -60.5155307 -37.0645179       Y       Y                 #> 63       -80.4140246 -49.2519362       Y       Y                 #> 64       -44.0153038 -24.2352362       Y                       Y #> 65       -29.4471615 -16.2138814       Y       Y                 #> 66        -3.0212335  -1.6635193       Y       Y       Y         #> 67       -44.0153038 -24.2352362               Y                 #> 68                NA          NA                                 #> 69       -33.4335682 -18.4088340       Y       Y                 #> 70     Y          NA          NA                       Y       Y"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtte.html","id":null,"dir":"Reference","previous_headings":"","what":"Time-to-Event Analysis Dataset (ADTTE) — radtte","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"Function generating random Time--Event Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtte.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"","code":"radtte(   adsl,   event_descr = NULL,   censor_descr = NULL,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(CNSR = c(NA, 0.1), AVAL = c(1234, 0.1), AVALU = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtte.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). event_descr (character vector) Descriptions events. Defaults NULL. censor_descr (character vector) Descriptions censors. Defaults NULL. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADTTE data cadtte returned new data generated. set TRUE arguments radtte ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtte.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtte.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"Keys: STUDYID, USUBJID, PARAMCD","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtte.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adtte <- radtte(adsl, seed = 2) adtte #> # A tibble: 50 × 67 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  8 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 40 more rows #> # ℹ 56 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radvs.html","id":null,"dir":"Reference","previous_headings":"","what":"Vital Signs Analysis Dataset (ADVS) — radvs","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"Function generating random Vital Signs Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radvs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"","code":"radvs(   adsl,   param = c(\"Diastolic Blood Pressure\", \"Pulse Rate\", \"Respiratory Rate\",     \"Systolic Blood Pressure\", \"Temperature\", \"Weight\"),   paramcd = c(\"DIABP\", \"PULSE\", \"RESP\", \"SYSBP\", \"TEMP\", \"WEIGHT\"),   paramu = c(\"Pa\", \"beats/min\", \"breaths/min\", \"Pa\", \"C\", \"Kg\"),   visit_format = \"WEEK\",   n_assessments = 5L,   n_days = 5L,   seed = NULL,   na_percentage = 0,   na_vars = list(CHG2 = c(1235, 0.1), PCHG2 = c(1235, 0.1), CHG = c(1234, 0.1), PCHG =     c(1234, 0.1), AVAL = c(123, 0.1), AVALU = c(123, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radvs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. paramu (character vector) Parameter unit values. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADVS data cadvs returned new data generated. set TRUE arguments radvs ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radvs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radvs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, BASETYPE, AVISITN, ATPTN, DTYPE, ADTM, VSSEQ, ASPID","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radvs.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"npaszty","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radvs.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  advs <- radvs(adsl, visit_format = \"WEEK\", n_assessments = 7L, seed = 2) advs #> # A tibble: 540 × 87 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 530 more rows #> # ℹ 76 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  advs <- radvs(adsl, visit_format = \"CYCLE\", n_assessments = 3L, seed = 2) advs #> # A tibble: 960 × 87 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 950 more rows #> # ℹ 76 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/random.cdisc.data-package.html","id":null,"dir":"Reference","previous_headings":"","what":"random.cdisc.data Package — random.cdisc.data-package","title":"random.cdisc.data Package — random.cdisc.data-package","text":"Package create random SDTM ADAM datasets.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/random.cdisc.data-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"random.cdisc.data Package — random.cdisc.data-package","text":"Maintainer: Joe Zhu joe.zhu@roche.com Authors: Pawel Rucki pawel.rucki@roche.com Nick Paszty npaszty@gene.com Jana Stoilova jana.stoilova@roche.com Davide Garolini davide.garolini@roche.com Emily de la Rua emily.de_la_rua@contractors.roche.com Christopher DiPietrantonio Adrian Waddell adrian.waddell@gene.com contributors: F. Hoffmann-La Roche AG [copyright holder, funder]","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rel_var.html","id":null,"dir":"Reference","previous_headings":"","what":"Related Variables: Assign — rel_var","title":"Related Variables: Assign — rel_var","text":"Assign values related variable within domain.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rel_var.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Related Variables: Assign — rel_var","text":"","code":"rel_var(df, var_name, related_var, var_values = NULL)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rel_var.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Related Variables: Assign — rel_var","text":"df (data.frame) Data frame containing related variables. var_name (character) Name variable related rel_var add df. related_var (character) Name variable within df values values var_name must relate. var_values () Vector values related values related_var.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rel_var.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Related Variables: Assign — rel_var","text":"df added factor variable var_name containing var_values corresponding related_var.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rel_var.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Related Variables: Assign — rel_var","text":"","code":"# Example with data.frame. params <- c(\"Level A\", \"Level B\", \"Level C\") adlb_df <- data.frame(   ID = 1:9,   PARAM = factor(     rep(c(\"Level A\", \"Level B\", \"Level C\"), 3),     levels = params   ) ) rel_var(   df = adlb_df,   var_name = \"PARAMCD\",   var_values = c(\"A\", \"B\", \"C\"),   related_var = \"PARAM\" ) #>   ID   PARAM PARAMCD #> 1  1 Level A       A #> 2  2 Level B       B #> 3  3 Level C       C #> 4  4 Level A       A #> 5  5 Level B       B #> 6  6 Level C       C #> 7  7 Level A       A #> 8  8 Level B       B #> 9  9 Level C       C  # Example with tibble. adlb_tbl <- tibble::tibble(   ID = 1:9,   PARAM = factor(     rep(c(\"Level A\", \"Level B\", \"Level C\"), 3),     levels = params   ) ) rel_var(   df = adlb_tbl,   var_name = \"PARAMCD\",   var_values = c(\"A\", \"B\", \"C\"),   related_var = \"PARAM\" ) #> # A tibble: 9 × 3 #>      ID PARAM   PARAMCD #>   <int> <fct>   <fct>   #> 1     1 Level A A       #> 2     2 Level B B       #> 3     3 Level C C       #> 4     4 Level A A       #> 5     5 Level B B       #> 6     6 Level C C       #> 7     7 Level A A       #> 8     8 Level B B       #> 9     9 Level C C"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/relvar_init.html","id":null,"dir":"Reference","previous_headings":"","what":"Related Variables: Initialize — relvar_init","title":"Related Variables: Initialize — relvar_init","text":"Verify initialize related variable values. example, relvar_init(\"Alanine Aminotransferase Measurement\", \"ALT\").","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/relvar_init.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Related Variables: Initialize — relvar_init","text":"","code":"relvar_init(relvar1, relvar2)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/relvar_init.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Related Variables: Initialize — relvar_init","text":"relvar1 (list character) List n elements. relvar2 (list character) List n elements.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/relvar_init.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Related Variables: Initialize — relvar_init","text":"vector n elements.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/replace_na.html","id":null,"dir":"Reference","previous_headings":"","what":"Replace Values in a Vector by NA — replace_na","title":"Replace Values in a Vector by NA — replace_na","text":"Randomized replacement values NA.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/replace_na.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Replace Values in a Vector by NA — replace_na","text":"","code":"replace_na(v, percentage = 0.05, seed = NULL)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/replace_na.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Replace Values in a Vector by NA — replace_na","text":"v () Vector type. percentage (proportion) Value 0 1 defining much vector shall replaced NA. number randomized +/- 5% full randomization. seed (numeric) Seed use reproducible random number generation.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/replace_na.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Replace Values in a Vector by NA — replace_na","text":"input vector v certain number values replaced NA.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/retain.html","id":null,"dir":"Reference","previous_headings":"","what":"Primary Keys: Retain Values — retain","title":"Primary Keys: Retain Values — retain","text":"Retain values within primary keys.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/retain.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Primary Keys: Retain Values — retain","text":"","code":"retain(df, value_var, event, outside = NA)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/retain.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Primary Keys: Retain Values — retain","text":"df (data.frame) Data frame apply retain. value_var () Variable df containing value retained. event (expression) Expression returning logical value trigger retain. outside () Additional value retain. Defaults NA.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/retain.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Primary Keys: Retain Values — retain","text":"vector values expression true.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rtexp.html","id":null,"dir":"Reference","previous_headings":"","what":"Truncated Exponential Distribution — rtexp","title":"Truncated Exponential Distribution — rtexp","text":"generates random numbers truncated Exponential distribution, .e. X | X > l X | X < r X ~ Exp(rate). advantage guarantee return exactly n numbers without using loop internally. can derived quantile functions left- right-truncated Exponential distributions.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rtexp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Truncated Exponential Distribution — rtexp","text":"","code":"rtexp(n, rate, l = NULL, r = NULL)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rtexp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Truncated Exponential Distribution — rtexp","text":"n (numeric) Number random numbers. rate (numeric) Non-negative rate. l (numeric) Positive left-hand truncation parameter. r (numeric) Positive right-hand truncation parameter.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rtexp.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Truncated Exponential Distribution — rtexp","text":"random numbers. neither l r provided usual Exponential distribution used.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rtexp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Truncated Exponential Distribution — rtexp","text":"","code":"x <- stats::rexp(1e6, rate = 5) x <- x[x > 0.5] hist(x)   y <- rtexp(1e6, rate = 5, l = 0.5) hist(y)   z <- rtexp(1e6, rate = 5, r = 0.5) hist(z)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rtpois.html","id":null,"dir":"Reference","previous_headings":"","what":"Zero-Truncated Poisson Distribution — rtpois","title":"Zero-Truncated Poisson Distribution — rtpois","text":"generates random numbers zero-truncated Poisson distribution, .e. X | X > 0 X ~ Poisson(lambda). advantage guarantee return exactly n numbers without using loop internally. solution provided post Peter Dalgaard.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rtpois.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Zero-Truncated Poisson Distribution — rtpois","text":"","code":"rtpois(n, lambda)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rtpois.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Zero-Truncated Poisson Distribution — rtpois","text":"n (numeric) Number random numbers. lambda (numeric) Non-negative mean(s).","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rtpois.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Zero-Truncated Poisson Distribution — rtpois","text":"random numbers.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rtpois.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Zero-Truncated Poisson Distribution — rtpois","text":"","code":"x <- rpois(1e6, lambda = 5) x <- x[x > 0] hist(x)   y <- rtpois(1e6, lambda = 5) hist(y)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/sample_fct.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a Factor with Random Elements of x — sample_fct","title":"Create a Factor with Random Elements of x — sample_fct","text":"Sample elements x replacement build factor.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/sample_fct.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a Factor with Random Elements of x — sample_fct","text":"","code":"sample_fct(x, N, ...)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/sample_fct.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a Factor with Random Elements of x — sample_fct","text":"x (character vector factor) character vector also used levels returned factor. factor levels used new levels. N (numeric) Number items choose. ... Additional arguments passed sample.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/sample_fct.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a Factor with Random Elements of x — sample_fct","text":"factor length N.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/sample_fct.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a Factor with Random Elements of x — sample_fct","text":"","code":"sample_fct(letters[1:3], 10) #>  [1] c b c b c b b a a b #> Levels: a b c sample_fct(iris$Species, 10) #>  [1] versicolor setosa     versicolor versicolor setosa     setosa     #>  [7] versicolor versicolor versicolor setosa     #> Levels: setosa versicolor virginica"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/var_relabel.html","id":null,"dir":"Reference","previous_headings":"","what":"Primary Keys: Labels — var_relabel","title":"Primary Keys: Labels — var_relabel","text":"Relabel subset variables data set.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/var_relabel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Primary Keys: Labels — var_relabel","text":"","code":"var_relabel(x, ...)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/var_relabel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Primary Keys: Labels — var_relabel","text":"x (data.frame) Data frame containing variables labels applied. ... (named character) Name-Value pairs, name corresponds variable name x value new variable label.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/var_relabel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Primary Keys: Labels — var_relabel","text":"x (data.frame) Data frame labels applied.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/var_relabel.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Primary Keys: Labels — var_relabel","text":"","code":"adsl <- radsl() var_relabel(adsl,   STUDYID = \"Study Identifier\",   USUBJID = \"Unique Subject Identifier\" ) #> # A tibble: 400 × 55 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-C… id-199 CHN-11    33 YEARS F     BLAC… NOT H… CHN     N     #>  2 AB12345 AB12345-C… id-146 CHN-14    27 YEARS M     BLAC… NOT H… CHN     N     #>  3 AB12345 AB12345-C… id-179 CHN-12    40 YEARS M     UNKN… NOT H… CHN     N     #>  4 AB12345 AB12345-U… id-42  USA-1     29 YEARS F     ASIAN NOT H… USA     N     #>  5 AB12345 AB12345-C… id-87  CAN-1     30 YEARS M     BLAC… NOT H… CAN     N     #>  6 AB12345 AB12345-J… id-353 JPN-11    33 YEARS M     ASIAN NOT H… JPN     N     #>  7 AB12345 AB12345-B… id-315 BRA-12    36 YEARS M     ASIAN NOT H… BRA     Y     #>  8 AB12345 AB12345-U… id-299 USA-11    56 YEARS F     AMER… NOT H… USA     N     #>  9 AB12345 AB12345-J… id-80  JPN-12    29 YEARS F     ASIAN NOT H… JPN     N     #> 10 AB12345 AB12345-C… id-131 CHN-6     36 YEARS F     BLAC… NOT H… CHN     N     #> # ℹ 390 more rows #> # ℹ 44 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/visit_schedule.html","id":null,"dir":"Reference","previous_headings":"","what":"Create Visit Schedule — visit_schedule","title":"Create Visit Schedule — visit_schedule","text":"Create visit schedule factor.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/visit_schedule.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create Visit Schedule — visit_schedule","text":"","code":"visit_schedule(visit_format = \"WEEK\", n_assessments = 10L, n_days = 5L)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/visit_schedule.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create Visit Schedule — visit_schedule","text":"visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\").","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/visit_schedule.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create Visit Schedule — visit_schedule","text":"factor length n_assessments.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/visit_schedule.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Create Visit Schedule — visit_schedule","text":"X number visits, X number cycles Y number days.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/visit_schedule.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create Visit Schedule — visit_schedule","text":"","code":"visit_schedule(visit_format = \"WEeK\", n_assessments = 10L) visit_schedule(visit_format = \"CyCLE\", n_assessments = 5L, n_days = 2L)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-0315","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.15","title":"random.cdisc.data 0.3.15","text":"CRAN release: 2024-03-27","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"new-features-0-3-15","dir":"Changelog","previous_headings":"","what":"New features","title":"random.cdisc.data 0.3.15","text":"Asynchronous cached data updates rebuild_cached_data vignette - data updated (dependency’s) source file updated.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"enhancements-0-3-15","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"random.cdisc.data 0.3.15","text":"Updated level ETHNIC variable datasets \" REPORTED\" \"REPORTED\".","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"miscellaneous-0-3-15","dir":"Changelog","previous_headings":"","what":"Miscellaneous","title":"random.cdisc.data 0.3.15","text":"Specified minimal version package dependencies.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"breaking-changes-0-3-14","dir":"Changelog","previous_headings":"","what":"Breaking changes","title":"random.cdisc.data 0.3.14","text":"Renamed ADSL argument adsl radab, radae, radaette, radcm, raddv, radeg, radex, radhy, radlb, radmh, radpc, radpp, radqlqc, radqs, radrs, radsaftte, radsub, radtr, radtte, radvs, get_qs_data. Renamed ADPC argument adpc radab. Renamed event.descr argument event_descr censor.descr argument censor_descr radaette adtte.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"new-features-0-3-14","dir":"Changelog","previous_headings":"","what":"New features","title":"random.cdisc.data 0.3.14","text":"Added new random dataset generator: Anti-Drug Antibody Analysis Dataset (radab). Added new random dataset generator: EORTC QLQ-C30 V3 Analysis Dataset (radqlqc).","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"enhancements-0-3-14","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"random.cdisc.data 0.3.14","text":"Added variables ASTDY, AENDY, EXDOSFRQ, EXROUTE, VISIT, VISITDY, EXSTDTC, EXENDTC, EXSTDY, EXENDY, TRTSDT, TRTEDT adex. Added default PARAMs new variables PPSTINT, PPENINT, REGIMEN, PKARMCD adpp. Added TNE PARAMCD, Total Number Exacerbations PARAM, new variable lgTMATRSK adtte. Added default PARAMs post-baseline visits adab enhanced variables ADAPBLFL, ABLFL, ADABLFL, PARCAT1, RELTMU. Added variables AEWITHFL ADTHAUT adsl. Added variable ATIREL admh. Added variables CMSTRTPT, CMENRTPT, ADURN, ADURU adcm. Added variables AESCONG, AESDISAB, AESHOSP, AESLIFE, AESMIE, LDOSEDTM adae. Added parameter with_trt02 radsl make second treatment period available. with_trt02 = TRUE (default), add variables TRT02A, TRT02P, TRT02SDTM, TRT02EDTM, AP02SDTM, AP02EDTM, TRT01SDTM, TRT01EDTM, AP01SDTM, AP01EDTM adsl, set TRTSDTM TRT01SDTM, TRTEDTM TRT02EDTM. Added variable LDRELTM adae. Aligned logic ADTM, ADY, ONTRTFL variables AVISIT applicable within adeg, adlb, adqs, adsub, adtr, advs. Made AVAL values realistic updated derivations ANRIND, *STRESC, LOQFL depend value PARAMCD adlb advs. Added tests increase package test coverage. Added “datetime” “date” valid variable types apply apply_metadata. Implemented lubridate package date/datetime variable derivations.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"bug-fixes-0-3-14","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"random.cdisc.data 0.3.14","text":"Updated ANL01FL NA values \"\" adae. Updated DVDECOD DVSCAT values addv. Fixed adtm calculations records AVISIT ADTM patient. Fixed checks na_percentage argument datasets. Updated package breaking changes tidyselect. Updated adtte events, analysis values censor values make logical sense.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"miscellaneous-0-3-14","dir":"Changelog","previous_headings":"","what":"Miscellaneous","title":"random.cdisc.data 0.3.14","text":"Updated installation method aligned packages. Updated tests use testthat 3rd edition added snapshot testing random rows. Implemented lifecycle package stable badge exported functions, tagged internal functions. Combined ADQLQC helper functions documentation file. Improved usability examples. Renamed random.cdisc.data.R file package.R cleaned contents. Added detailed documentation function parameters. Converted dataset names lowercase/snake case consistency NEST packages. Refactor adpc adab following new CDISC standard. Refactor abab parameters visits align adpc. Skipping examples h_adqlqc documentation. Changed example apply_metadata reduce example run time.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"new-features-0-3-13","dir":"Changelog","previous_headings":"","what":"New features","title":"random.cdisc.data 0.3.13","text":"Added new random dataset generator: PK Analysis Dataset (radpc). Added new random dataset generator: PK Parameter Dataset (radpp).","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"enhancements-0-3-13","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"random.cdisc.data 0.3.13","text":"Added new variables AGEU, TRT01P, TRT01A ADSL. Added new variables CMINDC, CMDOSE, CMTRT, CMDOSU, CMROUTE, CMDOSFRQ ADCM. Added ANRLO ANRHI column ADLB ADVS. Added AERELNST column ADAE. Added MHDISTAT column ADMH. Enhanced radpc add argument set duration number days.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"bug-fix-0-3-13","dir":"Changelog","previous_headings":"","what":"Bug fix","title":"random.cdisc.data 0.3.13","text":"Fixed typo ADSL$BMRKR1’s label.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"miscellaneous-0-3-13","dir":"Changelog","previous_headings":"","what":"Miscellaneous","title":"random.cdisc.data 0.3.13","text":"Updated required R version >= 3.6. Removed deprecated package utils.nest imports now use checkmate validation functions. Removed deprecated dependency test.nest.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"enhancements-0-3-12","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"random.cdisc.data 0.3.12","text":"Added EOTSTT variable ADSL dataset. Enabled users define mean analysis value lab test radlb new argument aval_mean. Added AERELNST AEACNOTH variables ADAE dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"miscellaneous-0-3-12","dir":"Changelog","previous_headings":"","what":"Miscellaneous","title":"random.cdisc.data 0.3.12","text":"Updated LICENCE README new package references. Corrected EVNTDESC CNSR variable values “OS” parameter ADTTE dataset. Fixed typo label BASE2 variable ADQS dataset. Added error_on_lint: TRUE .lintr.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"enhancements-0-3-11","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"random.cdisc.data 0.3.11","text":"Added AECONTRT variable ADAE dataset. Added new parameters ADAETTE dataset. Added new parameters ADHY dataset. Added period variables APERIOD APERIODC ADHY dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-0310","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.10","title":"random.cdisc.data 0.3.10","text":"Added parameters ADHY data. Fix bug make internal helper rel_var work tibbles. Added new random dataset generator: Hys Law Analysis Dataset (radhy) . Updated sampling TRTSDTM radsl efficient.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-039","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.9","title":"random.cdisc.data 0.3.9","text":"Fix warnings binding factors characters.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-038","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.8","title":"random.cdisc.data 0.3.8","text":"Added variables ATC1CD, ATC2CD, ATC3CD, ATC4CD ADCM data. lookup argument now takes parameters CATCD CAT instead PARAMCD PARAM. CATCD specifies code study specific treatment emergent adverse events (e.g. “1”) CAT specifies corresponding text (e.g. “adverse event”). resulting data set contains now number total occurrences per patient specific AE category (PARAMCD starting AETOT ending CATCD). Added parameter AEREPTTE, time end AE reporting period. Generation time number adverse events now conditional censoring information, .e. longer possible situation patient censored time first AE larger AE reporting period. Updated examples use cached = TRUE. Added ADSUB dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-037","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.7","title":"random.cdisc.data 0.3.7","text":"Added parameters BNRIND ONTRTFL ADVS data set. Added new parameter “Duration Confirmed Response” ADTTE data set.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-036","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.6","title":"random.cdisc.data 0.3.6","text":"Fixed radsl N < 4.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-035","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.5","title":"random.cdisc.data 0.3.5","text":"Added ADTR dataset osprey. Added 10 variables ADAE dataset: AEOUT, AEACN, AESDTH, TRTEMFL, ANL01FL, SMQ01NAM, SMQ02NAM, SMQ01SC, SMQ02SC, CQ01NAM. Added WORS02FL (Worst Post-Baseline Observation) ADEG dataset. Added ADEG dataset. Added 11 variables ADLB dataset: BNRIND, SHIFT1, ATOXGR, BTOXGR, WOS01FL, ANL01FL, WGRHIFL, WGRLOFL, WGRHIVFL, WGRLOVFL, ONTRTFL.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-034","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.4","title":"random.cdisc.data 0.3.4","text":"Simple refactor examples.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-033","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.3","title":"random.cdisc.data 0.3.3","text":"Remove test.nest dependency.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-032","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.2","title":"random.cdisc.data 0.3.2","text":"Added ADMH dataset. Renamed AREL column ADAE AEREL.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-031","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.1","title":"random.cdisc.data 0.3.1","text":"Refactored renaming functions utils.nest. Added ADEX dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-030","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.0","title":"random.cdisc.data 0.3.0","text":"Columns classes configuration .yml file. Added Medical History Analysis Dataset (radmh). Added missing columns based Roche standards. Introduced missing values random datasets generators (.e. r<name>). Updated lists dataset columns. Enhanced auto-testing.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-021","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.2.1","title":"random.cdisc.data 0.2.1","text":"Added cached versions datasets c<name>.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-020","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.2.0","title":"random.cdisc.data 0.2.0","text":"New consistent approach creating random data different domains. Switch new CDISC names (e.g. ADSL instead ASL). Subject-Level Analysis Dataset (radsl). Adverse Event Analysis Dataset (radae). Time Adverse Event Analysis Dataset (radaette). Previous Concomitant Medications Analysis Dataset (radcm). Laboratory Data Analysis Dataset (radlb). Questionnaires Analysis Dataset (radqs). Time--Event Dataset (radtte). Tumor Response Analysis Dataset (radrs). Vital Signs Analysis Dataset (radvs).","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-010","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.1.0","title":"random.cdisc.data 0.1.0","text":"Initial release.","code":""}]
+[{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"members, contributors, leaders pledge make participation community harassment-free experience everyone, regardless age, body size, visible invisible disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, caste, color, religion, sexual identity orientation. pledge act interact ways contribute open, welcoming, diverse, inclusive, healthy community.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes positive environment community include: Demonstrating empathy kindness toward people respectful differing opinions, viewpoints, experiences Giving gracefully accepting constructive feedback Accepting responsibility apologizing affected mistakes, learning experience Focusing best just us individuals, overall community Examples unacceptable behavior include: use sexualized language imagery, sexual attention advances kind Trolling, insulting derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical email address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"enforcement-responsibilities","dir":"","previous_headings":"","what":"Enforcement Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Community leaders responsible clarifying enforcing standards acceptable behavior take appropriate fair corrective action response behavior deem inappropriate, threatening, offensive, harmful. Community leaders right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, communicate reasons moderation decisions appropriate.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within community spaces, also applies individual officially representing community public spaces. Examples representing community include using official e-mail address, posting via official social media account, acting appointed representative online offline event.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported community leaders responsible enforcement [INSERT CONTACT METHOD]. complaints reviewed investigated promptly fairly. community leaders obligated respect privacy security reporter incident.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"enforcement-guidelines","dir":"","previous_headings":"","what":"Enforcement Guidelines","title":"Contributor Covenant Code of Conduct","text":"Community leaders follow Community Impact Guidelines determining consequences action deem violation Code Conduct:","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"id_1-correction","dir":"","previous_headings":"Enforcement Guidelines","what":"1. Correction","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Use inappropriate language behavior deemed unprofessional unwelcome community. Consequence: private, written warning community leaders, providing clarity around nature violation explanation behavior inappropriate. public apology may requested.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"id_2-warning","dir":"","previous_headings":"Enforcement Guidelines","what":"2. Warning","title":"Contributor Covenant Code of Conduct","text":"Community Impact: violation single incident series actions. Consequence: warning consequences continued behavior. interaction people involved, including unsolicited interaction enforcing Code Conduct, specified period time. includes avoiding interactions community spaces well external channels like social media. Violating terms may lead temporary permanent ban.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"id_3-temporary-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"3. Temporary Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: serious violation community standards, including sustained inappropriate behavior. Consequence: temporary ban sort interaction public communication community specified period time. public private interaction people involved, including unsolicited interaction enforcing Code Conduct, allowed period. Violating terms may lead permanent ban.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"id_4-permanent-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"4. Permanent Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Demonstrating pattern violation community standards, including sustained inappropriate behavior, harassment individual, aggression toward disparagement classes individuals. Consequence: permanent ban sort public interaction within community.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 2.1, available https://www.contributor-covenant.org/version/2/1/code_of_conduct.html. Community Impact Guidelines inspired Mozilla’s code conduct enforcement ladder. answers common questions code conduct, see FAQ https://www.contributor-covenant.org/faq. Translations available https://www.contributor-covenant.org/translations.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":null,"dir":"","previous_headings":"","what":"Contribution Guidelines","title":"Contribution Guidelines","text":"🙏 Thank taking time contribute! input deeply valued, whether issue, pull request, even feedback, regardless size, content scope.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"table-of-contents","dir":"","previous_headings":"","what":"Table of contents","title":"Contribution Guidelines","text":"👶 Getting started 📔 Code Conduct 🗃 License 📜 Issues 🚩 Pull requests 💻 Coding guidelines 🏆 Recognition model ❓ Questions","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"getting-started","dir":"","previous_headings":"","what":"Getting started","title":"Contribution Guidelines","text":"Please refer project documentation brief introduction. Please also see articles within project documentation additional information.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Contribution Guidelines","text":"Code Conduct governs project. Participants contributors expected follow rules outlined therein.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"license","dir":"","previous_headings":"","what":"License","title":"Contribution Guidelines","text":"contributions covered project’s license.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"issues","dir":"","previous_headings":"","what":"Issues","title":"Contribution Guidelines","text":"use GitHub track issues, feature requests, bugs. submitting new issue, please check issue already reported. issue already exists, please upvote existing issue 👍. new feature requests, please elaborate context benefit feature users, developers, relevant personas.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"github-flow","dir":"","previous_headings":"Pull requests","what":"GitHub Flow","title":"Contribution Guidelines","text":"repository uses GitHub Flow model collaboration. submit pull request: Create branch Please see branch naming convention . don’t write access repository, please fork . Make changes Make sure code passes checks imposed GitHub Actions well documented well tested unit tests sufficiently covering changes introduced Create pull request (PR) pull request description, please link relevant issue (), provide detailed description change, include assumptions. Address review comments, Post approval Merge PR write access. Otherwise, reviewer merge PR behalf. Pat back Congratulations! 🎉 now official contributor project! grateful contribution.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"branch-naming-convention","dir":"","previous_headings":"Pull requests","what":"Branch naming convention","title":"Contribution Guidelines","text":"Suppose changes related current issue current project; please name branch follows: <issue_id>_<short_description>. Please use underscore (_) delimiter word separation. example, 420_fix_ui_bug suitable branch name change resolving UI-related bug reported issue number 420 current project. change affects multiple repositories, please name branches follows: <issue_id>_<issue_repo>_<short description>. example, 69_awesomeproject_fix_spelling_error reference issue 69 reported project awesomeproject aims resolve one spelling errors multiple (likely related) repositories.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"monorepo-and-stageddependencies","dir":"","previous_headings":"Pull requests","what":"monorepo and staged.dependencies","title":"Contribution Guidelines","text":"Sometimes might need change upstream dependent package(s) able submit meaningful change. using staged.dependencies functionality simulate monorepo behavior. dependency configuration already specified project’s staged_dependencies.yaml file. need name feature branches appropriately. exception branch naming convention described . Please refer staged.dependencies package documentation details.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"coding-guidelines","dir":"","previous_headings":"","what":"Coding guidelines","title":"Contribution Guidelines","text":"repository follows unified processes standards adopted maintainers ensure software development carried consistently within teams cohesively across repositories.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"style-guide","dir":"","previous_headings":"Coding guidelines","what":"Style guide","title":"Contribution Guidelines","text":"repository follows standard tidyverse style guide uses lintr lint checks. Customized lint configurations available repository’s .lintr file.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"dependency-management","dir":"","previous_headings":"Coding guidelines","what":"Dependency management","title":"Contribution Guidelines","text":"Lightweight right weight. repository follows tinyverse recommedations limiting dependencies minimum.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"dependency-version-management","dir":"","previous_headings":"Coding guidelines","what":"Dependency version management","title":"Contribution Guidelines","text":"code compatible (!) historical versions given dependenct package, required specify minimal version DESCRIPTION file. particular: development version requires (imports) development version another package - required put abc (>= 1.2.3.9000).","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"r--package-versions","dir":"","previous_headings":"Coding guidelines > Recommended development environment & tools","what":"R & package versions","title":"Contribution Guidelines","text":"continuously test packages newest R version along recent dependencies CRAN BioConductor. recommend working environment also set way. can find details R version packages used R CMD check GitHub Action execution log - step prints R sessionInfo(). discover bugs older R versions older set dependencies, please create relevant bug reports.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"pre-commit","dir":"","previous_headings":"Coding guidelines > Recommended development environment & tools","what":"pre-commit","title":"Contribution Guidelines","text":"highly recommend use pre-commit tool combined R hooks pre-commit execute checks committing pushing changes. Pre-commit hooks already available repository’s .pre-commit-config.yaml file.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"recognition-model","dir":"","previous_headings":"","what":"Recognition model","title":"Contribution Guidelines","text":"mentioned previously, contributions deeply valued appreciated. contribution data available part repository insights, recognize significant contribution hence add contributor package authors list, following rules enforced: Minimum 5% lines code authored* (determined git blame query) top 5 contributors terms number commits lines added lines removed* *Excluding auto-generated code, including limited roxygen comments renv.lock files. package maintainer also reserves right adjust criteria recognize contributions.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/CONTRIBUTING.html","id":"questions","dir":"","previous_headings":"","what":"Questions","title":"Contribution Guidelines","text":"questions regarding contribution guidelines, please contact package/repository maintainer.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/SECURITY.html","id":"reporting-security-issues","dir":"","previous_headings":"","what":"Reporting Security Issues","title":"Security Policy","text":"believe found security vulnerability repositories organization, please report us coordinated disclosure. Please report security vulnerabilities public GitHub issues, discussions, pull requests. Instead, please send email vulnerability.management[@]roche.com. Please include much information listed can help us better understand resolve issue: type issue (e.g., buffer overflow, SQL injection, cross-site scripting) Full paths source file(s) related manifestation issue location affected source code (tag/branch/commit direct URL) special configuration required reproduce issue Step--step instructions reproduce issue Proof--concept exploit code (possible) Impact issue, including attacker might exploit issue information help us triage report quickly.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/SECURITY.html","id":"data-security-standards-dss","dir":"","previous_headings":"","what":"Data Security Standards (DSS)","title":"Security Policy","text":"Please make sure reporting issues form bug, feature, pull request, sensitive information PII, PHI, PCI completely removed text attachments, including pictures videos.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/articles/rebuild_cached_data.html","id":"getting-started","dir":"Articles","previous_headings":"","what":"Getting Started","title":"Rebuilding Cached Random CDISC Data","text":"following script used create, compare save cached data data/ directory. Starting R 3.6.0 default kind --hood random-number generator changed. Now, order get results set.seed() match, first call function RNGkind(sample.kind = \"Rounding\"). throws expected warning:","code":"Warning: non-uniform 'Rounding' sampler used"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/articles/rebuild_cached_data.html","id":"code-maintenance","dir":"Articles","previous_headings":"","what":"Code Maintenance","title":"Rebuilding Cached Random CDISC Data","text":"Currently, random.cdisc.data data-generating function created modified, code chunk must run build new/updated cached dataset add data/ directory. dataset dependency another dataset updated dependent dataset also updated. manually specify datasets updated, edit data_to_update vector , entering desired dataset names.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/articles/rebuild_cached_data.html","id":"update-cached-data","dir":"Articles","previous_headings":"","what":"Update Cached Data","title":"Rebuilding Cached Random CDISC Data","text":"Note: Prior running following code chunk, please ensure reinstalled random.cdisc.data package completing dataset modifications.","code":"# Helper functions # flatten_list_of_deps <- function(updated_data, data_deps) {   # Get higher deps fnc   get_higher_deps <- function(cur_dep, data_deps) {     sapply(seq_along(data_deps), function(x) {       if (any(cur_dep %in% data_deps[[x]])) {         names(data_deps)[x]       }     })   }    # Get lower deps fnc   get_lower_deps <- function(cur_dep, data_deps) {     data_deps[sapply(cur_dep, function(x) which(x == names(data_deps)))]   }    # Sort data_deps   sort_data_deps <- function(upd_data, data_deps) {     iup <- upd_data     for (ud in upd_data) {       up <- unlist(get_lower_deps(ud, data_deps))       if (any(up %in% upd_data)) {         iup <- unique(unlist(c(up[up %in% upd_data], iup)))       }     }     iup   }    # Firstly, lets sort by dependencies the initial updated data   fin_up <- sort_data_deps(updated_data, data_deps)    # Extracting higher dependencies for each value   cnt <- 1   while (cnt <= length(fin_up)) {     cur_deps <- unlist(       get_higher_deps(fin_up[cnt], data_deps)     )     if (!is.null(cur_deps)) {       cur_deps <- sort_data_deps(cur_deps, data_deps)       fin_up <- unique(c(fin_up[seq_len(cnt)], cur_deps, fin_up[-seq_len(cnt)]))     }     cnt <- cnt + 1   }    fin_up } library(random.cdisc.data) library(diffdf) library(dplyr)  # Call function to match random number generation from previous R versions RNGkind(sample.kind = \"Rounding\")  # Datasets must be listed after all of their dependencies # e.g. adsl is a dependency for all other datasets so it is listed first.  pkg_dir <- dirname(getwd()) # Listing source files and extraction of datasets' names src_files <- list.files(paste0(pkg_dir, \"/R\")) data_nms <- src_files[grepl(\"^ra*\", src_files)] %>%   stringr::str_remove(pattern = \"^r\") %>%   stringr::str_remove(pattern = \".R$\") %>%   sort() # Exception handling data_nms <- data_nms[data_nms != \"adsaftte\"] # Unbuilt for now  # Construction of dependency tree based on formals data_deps <- sapply(   data_nms,   function(x) {     dat_args <- names(formals(paste0(\"r\", x)))     dat_args[dat_args %in% data_nms]   } )  git_call <- \"git diff origin/main --name-only\" updated_files <- tryCatch(   system(git_call, intern = TRUE),   error = function(e) e ) status_uf <- attr(updated_files, \"status\") if (is(updated_files, \"error\") || (!is.null(status_uf) && status_uf == 1)) {   message(\"Found following error in git call: \", git_call)   message(e)   message(     \"The calculation continues as default by recreating all datasets \",     \"and updating the cached data if any change is found.\"   )   updated_data <- data_nms } else {   updated_data <- updated_files[grepl(\"^R\\\\/\", updated_files)] %>%     stringr::str_remove(\"^R\\\\/\") %>%     stringr::str_remove(pattern = \"^r\") %>%     stringr::str_remove(pattern = \".R$\") }  if (length(updated_data) != 0) {   stopifnot(all(updated_data %in% names(data_deps)))    data_to_update <- flatten_list_of_deps(updated_data, data_deps)   default_args <- list(seed = 1, na_vars = list(), who_coding = TRUE, percent = 80, number = 2)    # Generate and save updated cached datasets   for (dat in data_to_update) {     # Match arguments with defaults     dat_args <- default_args[names(default_args) %in% names(formals(paste0(\"r\", dat)))]      # Get the data deps cache that is already there (if adsl returns list())     dat_deps <- lapply(data_deps[[dat]], function(x) get(paste0(\"c\", x)))      # Main call to creation function     cdataset <- do.call(paste0(\"r\", dat), c(dat_args, dat_deps))      # Preview differences     cat(\"\\nSaving cached data for dataset\", paste0(\"*\", dat, \"*\"), \"with the following changes found (diffdf):\\n\")     diff_test <- diffdf(get(paste0(\"c\", dat)), cdataset)     print(diff_test)      # Check if there is any actual change to the data     if (length(diff_test) > 0) { # If no difference -> list()       # Save new cached dataset       assign(paste0(\"c\", dat), cdataset)       fl_save <- paste0(dirname(getwd()), \"/data/c\", dat, \".RData\")       attr(cdataset, \"creation date\") <- lubridate::date() # This should NOT be updated if no changes in diffdf       save(list = paste0(\"c\", dat), file = fl_save, compress = \"xz\")       cat(\"Cached dataset updated for\", paste0(\"*\", dat, \"*\"), \"in\", paste0(\"data/\", basename(fl_save), \".\"), \"\\n\")     } else {       message(\"No update detected on the final data. No cached data was updated for *\", dat, \"*.\")     }   } } else {   message(\"No source files changed: no cached datasets currently require updates.\") }"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Pawel Rucki. Author. Nick Paszty. Author. Jana Stoilova. Author. Joe Zhu. Author, maintainer. Davide Garolini. Author. Emily de la Rua. Author. Christopher DiPietrantonio. Author. Adrian Waddell. Author. F. Hoffmann-La Roche AG. Copyright holder, funder.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Rucki P, Paszty N, Stoilova J, Zhu J, Garolini D, de la Rua E, DiPietrantonio C, Waddell (2024). random.cdisc.data: Create Random ADaM Datasets. R package version 0.3.16, https://github.com/insightsengineering/random.cdisc.data/, https://insightsengineering.github.io/random.cdisc.data/latest-tag/.","code":"@Manual{,   title = {random.cdisc.data: Create Random ADaM Datasets},   author = {Pawel Rucki and Nick Paszty and Jana Stoilova and Joe Zhu and Davide Garolini and Emily {de la Rua} and Christopher DiPietrantonio and Adrian Waddell},   year = {2024},   note = {R package version 0.3.16,     https://github.com/insightsengineering/random.cdisc.data/},   url = {https://insightsengineering.github.io/random.cdisc.data/latest-tag/}, }"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/index.html","id":"randomcdiscdata","dir":"","previous_headings":"","what":"Create Random ADaM Datasets","title":"Create Random ADaM Datasets","text":"random.cdisc.data package creating random CDISC data. random datasets available create : radsl: Subject-Level Analysis Dataset (ADSL) radab: Anti-Drug Antibody Analysis Dataset (ADAB) radae: Adverse Event Analysis Dataset (ADAE) radaette: Time Adverse Event Analysis Dataset (ADAETTE) radcm: Previous Concomitant Medications Analysis Dataset (ADCM) raddv: Protocol Deviations Analysis Dataset (ADDV) radeg: ECG Analysis Dataset (ADEG) radex: Exposure Analysis Dataset (ADEX) radhy: Hys Law Analysis Dataset (ADHY) radlb: Laboratory Data Analysis Dataset (ADLB) radmh: Medical History Analysis Dataset (ADMH) radpc: Pharmacokinetics Analysis Dataset (ADPC) radpp: Pharmacokinetics Parameters Dataset (ADPP) radqlqc: EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) radqs: Questionnaires Analysis Dataset (ADQS) radrs: Response Analysis Dataset (ADRS) radsaftte: Time Safety Event Analysis Dataset (ADSAFTTE, wrapper radaette) radsub: Subcategory Analysis Dataset (ADSUB) radtr: Tumor Response Analysis Dataset (ADTR) radtte: Time--Event Dataset (ADTTE) radvs: Vital Signs Analysis Dataset (ADVS) Please note changes random data functions requires rebuild cached data. Please read “Rebuilding Random CDISC Cached Data” article.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Create Random ADaM Datasets","text":"Alternatively, might also use development version.","code":"install.packages(\"random.cdisc.data\") # install.packages(\"pak\") pak::pak(\"insightsengineering/random.cdisc.data\")"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/index.html","id":"acknowledgment","dir":"","previous_headings":"","what":"Acknowledgment","title":"Create Random ADaM Datasets","text":"package result joint efforts many developers stakeholders. like thank everyone contributed far!","code":""},{"path":[]},{"path":[]},{"path":[]},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/apply_metadata.html","id":null,"dir":"Reference","previous_headings":"","what":"Apply Metadata — apply_metadata","title":"Apply Metadata — apply_metadata","text":"Apply label variable ordering attributes domains.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/apply_metadata.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Apply Metadata — apply_metadata","text":"","code":"apply_metadata(   df,   filename,   add_adsl = TRUE,   adsl_filename = \"metadata/ADSL.yml\" )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/apply_metadata.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Apply Metadata — apply_metadata","text":"df (data.frame) Data frame metadata applied. filename (yaml) File containing domain metadata. add_adsl (logical) ADSL data merged domain. adsl_filename (yaml) File containing ADSL metadata.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/apply_metadata.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Apply Metadata — apply_metadata","text":"Data frame metadata applied.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/apply_metadata.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Apply Metadata — apply_metadata","text":"","code":"seed <- 1 adsl <- radsl(seed = seed) adsub <- radsub(adsl, seed = seed) yaml_path <- file.path(path.package(\"random.cdisc.data\"), \"inst\", \"metadata\") adsl <- apply_metadata(adsl, file.path(yaml_path, \"ADSL.yml\"), FALSE) adsub <- apply_metadata(   adsub, file.path(yaml_path, \"ADSUB.yml\"), TRUE,   file.path(yaml_path, \"ADSL.yml\") )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/argument_convention.html","id":null,"dir":"Reference","previous_headings":"","what":"Standard Arguments — argument_convention","title":"Standard Arguments — argument_convention","text":"documentation function lists arguments random.cdisc.data used repeatedly dataset creation.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/argument_convention.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Standard Arguments — argument_convention","text":"seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. adsl (data.frame) Subject-Level Analysis Dataset (ADSL). lookup (data.frame) Additional parameters. lookup_aag (data.frame) Additional metadata parameters. param (character vector) Parameter values. paramcd (character vector) Parameter code values. paramu (character vector) Parameter unit values. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). aval_mean (numeric vector) Mean values corresponding parameter.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadab.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADAB — cadab","title":"Cached ADAB — cadab","text":"Cached ADAB data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadab.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADAB — cadab","text":"","code":"data(cadab)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadab.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADAB — cadab","text":"object class tbl_df (inherits tbl, data.frame) 6916 rows 21 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadae.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADAE — cadae","title":"Cached ADAE — cadae","text":"Cached ADAE data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadae.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADAE — cadae","text":"","code":"data(cadae)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadae.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADAE — cadae","text":"object class tbl_df (inherits tbl, data.frame) 1934 rows 92 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadaette.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADAETTE — cadaette","title":"Cached ADAETTE — cadaette","text":"Cached ADAETTE data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadaette.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADAETTE — cadaette","text":"","code":"data(cadaette)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadaette.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADAETTE — cadaette","text":"object class tbl_df (inherits tbl, data.frame) 3600 rows 66 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadcm.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADCM — cadcm","title":"Cached ADCM — cadcm","text":"Cached ADCM data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadcm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADCM — cadcm","text":"","code":"data(cadcm)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadcm.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADCM — cadcm","text":"object class tbl_df (inherits tbl, data.frame) 3685 rows 83 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/caddv.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADDV — caddv","title":"Cached ADDV — caddv","text":"Cached ADDV data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/caddv.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADDV — caddv","text":"","code":"data(caddv)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/caddv.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADDV — caddv","text":"object class tbl_df (inherits tbl, data.frame) 119 rows 66 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadeg.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADEG — cadeg","title":"Cached ADEG — cadeg","text":"Cached ADEG data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadeg.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADEG — cadeg","text":"","code":"data(cadeg)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadeg.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADEG — cadeg","text":"object class tbl_df (inherits tbl, data.frame) 13600 rows 88 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadex.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADEX — cadex","title":"Cached ADEX — cadex","text":"Cached ADEX data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadex.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADEX — cadex","text":"","code":"data(cadex)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadex.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADEX — cadex","text":"object class tbl_df (inherits tbl, data.frame) 6400 rows 79 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadhy.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADHY — cadhy","title":"Cached ADHY — cadhy","text":"Cached ADHY data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadhy.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADHY — cadhy","text":"","code":"data(cadhy)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadhy.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADHY — cadhy","text":"object class tbl_df (inherits tbl, data.frame) 20000 rows 71 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadlb.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADLB — cadlb","title":"Cached ADLB — cadlb","text":"Cached ADLB data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadlb.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADLB — cadlb","text":"","code":"data(cadlb)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadlb.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADLB — cadlb","text":"object class tbl_df (inherits tbl, data.frame) 8400 rows 102 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadmh.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADMH — cadmh","title":"Cached ADMH — cadmh","text":"Cached ADMH data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadmh.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADMH — cadmh","text":"","code":"data(cadmh)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadmh.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADMH — cadmh","text":"object class tbl_df (inherits tbl, data.frame) 1934 rows 67 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadpc.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADPC — cadpc","title":"Cached ADPC — cadpc","text":"Cached ADPC data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadpc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADPC — cadpc","text":"","code":"data(cadpc)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadpc.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADPC — cadpc","text":"object class tbl_df (inherits tbl, data.frame) 6640 rows 72 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadpp.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADPP — cadpp","title":"Cached ADPP — cadpp","text":"Cached ADPP data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadpp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADPP — cadpp","text":"","code":"data(cadpp)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadpp.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADPP — cadpp","text":"object class data.frame 26268 rows 68 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadqlqc.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADQLQC — cadqlqc","title":"Cached ADQLQC — cadqlqc","text":"Cached ADQLQC data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadqlqc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADQLQC — cadqlqc","text":"","code":"data(cadqlqc)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadqlqc.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADQLQC — cadqlqc","text":"object class tbl_df (inherits tbl, data.frame) 116803 rows 50 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadqs.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADQS — cadqs","title":"Cached ADQS — cadqs","text":"Cached ADQS data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadqs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADQS — cadqs","text":"","code":"data(cadqs)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadqs.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADQS — cadqs","text":"object class tbl_df (inherits tbl, data.frame) 14000 rows 73 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadrs.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADRS — cadrs","title":"Cached ADRS — cadrs","text":"Cached ADRS data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadrs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADRS — cadrs","text":"","code":"data(cadrs)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadrs.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADRS — cadrs","text":"object class tbl_df (inherits tbl, data.frame) 3200 rows 65 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadsl.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADSL — cadsl","title":"Cached ADSL — cadsl","text":"Cached ADSL data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadsl.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADSL — cadsl","text":"","code":"data(cadsl)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadsl.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADSL — cadsl","text":"object class tbl_df (inherits tbl, data.frame) 400 rows 55 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadsub.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADSUB — cadsub","title":"Cached ADSUB — cadsub","text":"Cached ADSUB data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadsub.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADSUB — cadsub","text":"","code":"data(cadsub)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadsub.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADSUB — cadsub","text":"object class tbl_df (inherits tbl, data.frame) 2000 rows 65 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadtr.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADTR — cadtr","title":"Cached ADTR — cadtr","text":"Cached ADTR data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadtr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADTR — cadtr","text":"","code":"data(cadtr)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadtr.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADTR — cadtr","text":"object class data.frame 2800 rows 76 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadtte.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADTTE — cadtte","title":"Cached ADTTE — cadtte","text":"Cached ADTTE data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadtte.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADTTE — cadtte","text":"","code":"data(cadtte)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadtte.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADTTE — cadtte","text":"object class tbl_df (inherits tbl, data.frame) 2000 rows 67 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadvs.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADVS — cadvs","title":"Cached ADVS — cadvs","text":"Cached ADVS data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadvs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADVS — cadvs","text":"","code":"data(cadvs)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/cadvs.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADVS — cadvs","text":"object class tbl_df (inherits tbl, data.frame) 16800 rows 87 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_adqlqc.html","id":null,"dir":"Reference","previous_headings":"","what":"Helper Functions for Constructing ADQLQC — h_adqlqc","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"Internal functions used radqlqc.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_adqlqc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"","code":"get_qs_data(   adsl,   visit_format = \"CYCLE\",   n_assessments = 5L,   n_days = 1L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(QSORRES = c(1234, 0.2), QSSTRESC = c(1234, 0.2)) )  get_random_dates_between(from, to, visit_id)  prep_adqlqc(df)  calc_scales(adqlqc1)  derv_chgcat1(dataset)  comp_derv(dataset, percent, number)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_adqlqc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. (datetime vector) Start date/times. (datetime vector) End date/times. visit_id (vector) Visit identifiers. df (data.frame) SDTM QS dataset. adqlqc1 (data.frame) Prepared data generated prep_adqlqc() function. dataset (data.frame) Dataset. percent (numeric) Completion - Completed least y percent questions, 1 record per visit number (numeric) Completion - Completed least x question(s), 1 record per visit","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_adqlqc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"dataframe SDTM questionnaire data Data frame new randomly generated dates variable. data.frame data.frame data.frame data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_adqlqc.html","id":"functions","dir":"Reference","previous_headings":"","what":"Functions","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"get_qs_data(): Questionnaires EORTC QLQ-C30 V3.0 SDTM (QS) Function generating random Questionnaires SDTM domain get_random_dates_between(): Function generating random dates 2 dates prep_adqlqc(): Prepare ADaM ADQLQC data, adding PARAMCD SDTM QS data calc_scales(): Scale calculation ADQLQC data derv_chgcat1(): Calculate Change Baseline Category 1 comp_derv(): Completion/Compliance Data Calculation","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_adqlqc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1) adqlqc <- radqlqc(adsl, seed = 1, percent = 80, number = 2)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_anthropometrics_by_sex.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","title":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","text":"Anthropometric measurements randomly generated using normal approximation. default mean standard deviation values used based US National Health Statistics adults aged 20 years . measurements generated units provided function.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_anthropometrics_by_sex.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","text":"","code":"h_anthropometrics_by_sex(   df,   seed = 1,   id_var = \"USUBJID\",   sex_var = \"SEX\",   sex_var_level_male = \"M\",   male_weight_in_kg = list(mean = 90.6, sd = 44.9),   female_weight_in_kg = list(mean = 77.5, sd = 46.2),   male_height_in_m = list(mean = 1.75, sd = 0.14),   female_height_in_m = list(mean = 1.61, sd = 0.24) )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_anthropometrics_by_sex.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","text":"df (data.frame) Analysis dataset. seed (numeric) Seed use reproducible random number generation. id_var (character) Patient identifier variable name. sex_var (character) Name variable representing sex patient. sex_var_level_male (character) Level sex_var representing males. male_weight_in_kg (named list) List means SDs male weights kilograms. female_weight_in_kg (named list) List means SDs female weights kilograms. male_height_in_m (named list) List means SDs male heights metres. female_height_in_m (named list) list means SDs female heights metres.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_anthropometrics_by_sex.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","text":"dataframe anthropometric measurements subject analysis dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/h_anthropometrics_by_sex.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","text":"One record per subject.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/mutate_na.html","id":null,"dir":"Reference","previous_headings":"","what":"Replace Values with NA — mutate_na","title":"Replace Values with NA — mutate_na","text":"Replace column values NAs.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/mutate_na.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Replace Values with NA — mutate_na","text":"","code":"mutate_na(ds, na_vars = NULL, na_percentage = 0.05)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/mutate_na.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Replace Values with NA — mutate_na","text":"ds (data.frame) data set. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. na_percentage (proportion) Default percentage values replaced NA.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/mutate_na.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Replace Values with NA — mutate_na","text":"dataframe without NA values.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radab.html","id":null,"dir":"Reference","previous_headings":"","what":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"Function generating random Anti-Drug Antibody Analysis Dataset given Subject-Level Analysis Dataset Pharmacokinetics Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radab.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"","code":"radab(   adsl,   adpc,   constants = c(D = 100, ka = 0.8, ke = 1),   paramcd = c(\"R1800000\", \"RESULT1\", \"R1800001\", \"RESULT2\", \"ADASTAT1\", \"INDUCD1\",     \"ENHANC1\", \"TRUNAFF1\", \"EMERNEG1\", \"EMERPOS1\", \"PERSADA1\", \"TRANADA1\", \"BFLAG1\",     \"TIMADA1\", \"ADADUR1\", \"ADASTAT2\", \"INDUCD2\", \"ENHANC2\", \"EMERNEG2\", \"EMERPOS2\",     \"BFLAG2\", \"TRUNAFF2\"),   param = c(\"Antibody titer units\", \"ADA interpreted per sample result\",     \"Neutralizing Antibody titer units\", \"NAB interpreted per sample result\",     \"ADA Status of a patient\", \"Treatment induced ADA\", \"Treatment enhanced ADA\",     \"Treatment unaffected\", \"Treatment Emergent - Negative\",     \"Treatment Emergent - Positive\", \"Persistent ADA\", \"Transient ADA\", \"Baseline\",     \"Time to onset of ADA\", \"ADA Duration\", \"NAB Status of a patient\",     \"Treatment induced ADA, Neutralizing Antibody\",     \"Treatment enhanced ADA, Neutralizing Antibody\",           \"Treatment Emergent - Negative, Neutralizing Antibody\",     \"Treatment Emergent - Positive, Neutralizing Antibody\",     \"Baseline, Neutralizing Antibody\", \"Treatment unaffected, Neutralizing Antibody\"),   avalu = c(\"titer\", \"\", \"titer\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"weeks\",     \"weeks\", \"\", \"\", \"\", \"\", \"\", \"\", \"\"),   seed = NULL,   na_percentage = 0,   na_vars = list(AVAL = c(NA, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radab.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). adpc (data.frame) Pharmacokinetics Analysis Dataset. constants (character vector) Constant parameters used formulas creating analysis values. paramcd (character vector) Parameter code values. param (character vector) Parameter values. avalu (character) Analysis value units. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADAB data cadab returned new data generated. set TRUE arguments radab ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radab.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radab.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"One record per study per subject per parameter per time point: \"R1800000\", \"RESULT1\", \"R1800001\", \"RESULT2\".","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radab.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2) adpc <- radpc(adsl, seed = 2, duration = 9 * 7)  adab <- radab(adsl, adpc, seed = 2) adab #> # A tibble: 208 × 21 #>    STUDYID USUBJID      ARM   ACTARM ISTPT  AVAL AVALC AVALU PARAM PARAMCD VISIT #>    <chr>   <chr>        <fct> <fct>  <fct> <dbl> <chr> <fct> <fct> <fct>   <fct> #>  1 AB12345 AB12345-JPN… A: D… A: Dr… Pred…  1.04 POSI… titer Anti… R18000… Day 1 #>  2 AB12345 AB12345-USA… A: D… A: Dr… Pred…  1.32 POSI… titer Anti… R18000… Day 1 #>  3 AB12345 AB12345-BRA… A: D… A: Dr… Pred… NA    NEGA… titer Anti… R18000… Day 1 #>  4 AB12345 AB12345-CHN… A: D… A: Dr… Pred… NA    NEGA… titer Anti… R18000… Day 1 #>  5 AB12345 AB12345-CHN… C: C… C: Co… Pred…  1.03 POSI… titer Anti… R18000… Day 1 #>  6 AB12345 AB12345-CHN… A: D… A: Dr… Pred…  1.14 POSI… titer Anti… R18000… Day 1 #>  7 AB12345 AB12345-RUS… A: D… A: Dr… Pred…  1.40 POSI… titer Anti… R18000… Day 1 #>  8 AB12345 AB12345-BRA… C: C… C: Co… Pred… NA    NEGA… titer Anti… R18000… Day 1 #>  9 AB12345 AB12345-JPN… A: D… A: Dr… 24H    1.20 POSI… titer Anti… R18000… Day 2 #> 10 AB12345 AB12345-USA… A: D… A: Dr… 24H   NA    NEGA… titer Anti… R18000… Day 2 #> # ℹ 198 more rows #> # ℹ 10 more variables: VISITDY <int>, PARCAT1 <fct>, ADABLPFL <fct>, #> #   ADPBLPFL <fct>, ABLFL <fct>, RELTMU <fct>, NFRLT <dbl>, AFRLT <dbl>, #> #   NRRLT <dbl>, ARRLT <dbl>"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radae.html","id":null,"dir":"Reference","previous_headings":"","what":"Adverse Event Analysis Dataset (ADAE) — radae","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"Function generating random Adverse Event Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radae.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"","code":"radae(   adsl,   max_n_aes = 10L,   lookup = NULL,   lookup_aag = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(AEBODSYS = c(NA, 0.1), AEDECOD = c(1234, 0.1), AETOXGR = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radae.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). max_n_aes (integer) Maximum number AEs per patient. Defaults 10. lookup (data.frame) Additional parameters. lookup_aag (data.frame) Additional metadata parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADAE data cadae returned new data generated. set TRUE arguments radae ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radae.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radae.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"One record per record corresponding SDTM domain. Keys: STUDYID, USUBJID, ASTDTM, AETERM, AESEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radae.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1)  adae <- radae(adsl, seed = 2) adae #> # A tibble: 51 × 92 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  8 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 41 more rows #> # ℹ 81 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  # Add metadata. aag <- utils::read.table(   sep = \",\", header = TRUE,   text = paste(     \"NAMVAR,SRCVAR,GRPTYPE,REFNAME,REFTERM,SCOPE\",     \"CQ01NAM,AEDECOD,CUSTOM,D.2.1.5.3/A.1.1.1.1 AESI,dcd D.2.1.5.3,\",     \"CQ01NAM,AEDECOD,CUSTOM,D.2.1.5.3/A.1.1.1.1 AESI,dcd A.1.1.1.1,\",     \"SMQ01NAM,AEDECOD,SMQ,C.1.1.1.3/B.2.2.3.1 AESI,dcd C.1.1.1.3,BROAD\",     \"SMQ01NAM,AEDECOD,SMQ,C.1.1.1.3/B.2.2.3.1 AESI,dcd B.2.2.3.1,BROAD\",     \"SMQ02NAM,AEDECOD,SMQ,Y.9.9.9.9/Z.9.9.9.9 AESI,dcd Y.9.9.9.9,NARROW\",     \"SMQ02NAM,AEDECOD,SMQ,Y.9.9.9.9/Z.9.9.9.9 AESI,dcd Z.9.9.9.9,NARROW\",     sep = \"\\n\"   ), stringsAsFactors = FALSE )  adae <- radae(adsl, lookup_aag = aag)  with(   adae,   cbind(     table(AEDECOD, SMQ01NAM),     table(AEDECOD, CQ01NAM)   ) ) #>               C.1.1.1.3/B.2.2.3.1 AESI D.2.1.5.3/A.1.1.1.1 AESI #> dcd A.1.1.1.1                        0                        9 #> dcd A.1.1.1.2                        0                        0 #> dcd B.1.1.1.1                        0                        0 #> dcd B.2.1.2.1                        0                        0 #> dcd B.2.2.3.1                       11                        0 #> dcd C.1.1.1.3                       10                        0 #> dcd C.2.1.2.1                        0                        0 #> dcd D.1.1.1.1                        0                        0 #> dcd D.1.1.4.2                        0                        0 #> dcd D.2.1.5.3                        0                        6"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radaette.html","id":null,"dir":"Reference","previous_headings":"","what":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"Function generate random Time--AE Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radaette.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"","code":"radaette(   adsl,   event_descr = NULL,   censor_descr = NULL,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(CNSR = c(NA, 0.1), AVAL = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radaette.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). event_descr (character vector) Descriptions events. Defaults NULL. censor_descr (character vector) Descriptions censors. Defaults NULL. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADAETTE data cadaette returned new data generated. set TRUE arguments radaette ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radaette.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radaette.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"Keys: STUDYID, USUBJID, PARAMCD","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radaette.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"Xiuting Mi","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radaette.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adaette <- radaette(adsl, seed = 2) adaette #> # A tibble: 90 × 66 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 80 more rows #> # ℹ 55 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radcm.html","id":null,"dir":"Reference","previous_headings":"","what":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"Function generating random Concomitant Medication Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radcm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"","code":"radcm(   adsl,   max_n_cms = 10L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(CMCLAS = c(NA, 0.1), CMDECOD = c(1234, 0.1), ATIREL = c(1234, 0.1)),   who_coding = FALSE,   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radcm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). max_n_cms (integer) Maximum number concomitant medications per patient. Defaults 10. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. who_coding (flag) Whether coding (multiple paths per medication) used. cached boolean whether cached ADCM data cadcm returned new data generated. set TRUE arguments radcm ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radcm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radcm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"One record per record corresponding SDTM domain. Keys: STUDYID, USUBJID, ASTDTM, CMSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radcm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adcm <- radcm(adsl, seed = 2) adcm #> # A tibble: 50 × 83 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  2 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  3 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  4 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  5 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  8 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  9 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #> 10 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #> # ℹ 40 more rows #> # ℹ 72 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  adcm_who <- radcm(adsl, seed = 2, who_coding = TRUE) adcm_who #> # A tibble: 102 × 83 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  2 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  3 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  4 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  5 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  8 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  9 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #> 10 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #> # ℹ 92 more rows #> # ℹ 72 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/raddv.html","id":null,"dir":"Reference","previous_headings":"","what":"Protocol Deviations Analysis Dataset (ADDV) — raddv","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"Function generating random Protocol Deviations Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/raddv.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"","code":"raddv(   adsl,   max_n_dv = 3L,   p_dv = 0.15,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(ASTDT = c(seed = 1234, percentage = 0.1), DVCAT = c(seed = 1234,     percentage = 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/raddv.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). max_n_dv (integer) Maximum number deviations per patient. Defaults 3. p_dv (proportion) Probability patient protocol deviations. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADDV data caddv returned new data generated. set TRUE arguments raddv ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/raddv.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/raddv.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"One record per record corresponding SDTM domain. Keys: STUDYID, USUBJID, ASTDT, DVTERM, DVSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/raddv.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  addv <- raddv(adsl, seed = 2) addv #> # A tibble: 9 × 66 #>   STUDYID USUBJID     SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>   <chr>   <chr>       <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #> 1 AB12345 AB12345-BR… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 2 AB12345 AB12345-BR… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 3 AB12345 AB12345-BR… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 4 AB12345 AB12345-CH… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #> 5 AB12345 AB12345-CH… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #> 6 AB12345 AB12345-CH… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #> 7 AB12345 AB12345-US… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #> 8 AB12345 AB12345-US… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #> 9 AB12345 AB12345-US… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #> # ℹ 55 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, #> #   AP01SDTM <dttm>, AP01EDTM <dttm>, AP02SDTM <dttm>, AP02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radeg.html","id":null,"dir":"Reference","previous_headings":"","what":"ECG Analysis Dataset (ADEG) — radeg","title":"ECG Analysis Dataset (ADEG) — radeg","text":"Function generating random dataset ECG Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radeg.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"ECG Analysis Dataset (ADEG) — radeg","text":"","code":"radeg(   adsl,   egcat = c(\"INTERVAL\", \"INTERVAL\", \"MEASUREMENT\", \"FINDING\"),   param = c(\"QT Duration\", \"RR Duration\", \"Heart Rate\", \"ECG Interpretation\"),   paramcd = c(\"QT\", \"RR\", \"HR\", \"ECGINTP\"),   paramu = c(\"msec\", \"msec\", \"beats/min\", \"\"),   visit_format = \"WEEK\",   n_assessments = 5L,   n_days = 5L,   max_n_eg = 10L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(ABLFL = c(1235, 0.1), BASE = c(NA, 0.1), BASEC = c(NA, 0.1), CHG =     c(1234, 0.1), PCHG = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radeg.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"ECG Analysis Dataset (ADEG) — radeg","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). egcat (character vector) EG category values. param (character vector) Parameter values. paramcd (character vector) Parameter code values. paramu (character vector) Parameter unit values. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). max_n_eg (integer) Maximum number EG results per patient. Defaults 10. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADEG data cadeg returned new data generated. set TRUE arguments radeg ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radeg.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"ECG Analysis Dataset (ADEG) — radeg","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radeg.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"ECG Analysis Dataset (ADEG) — radeg","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, BASETYPE, AVISITN, ATPTN, DTYPE, ADTM, EGSEQ, ASPID","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radeg.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"ECG Analysis Dataset (ADEG) — radeg","text":"tomlinsj, npaszty, Xuefeng Hou, dipietrc","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radeg.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"ECG Analysis Dataset (ADEG) — radeg","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adeg <- radeg(adsl, visit_format = \"WEEK\", n_assessments = 7L, seed = 2) adeg #> # A tibble: 420 × 88 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 410 more rows #> # ℹ 77 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  adeg <- radeg(adsl, visit_format = \"CYCLE\", n_assessments = 2L, seed = 2) adeg #> # A tibble: 500 × 88 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 490 more rows #> # ℹ 77 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radex.html","id":null,"dir":"Reference","previous_headings":"","what":"Exposure Analysis Dataset (ADEX) — radex","title":"Exposure Analysis Dataset (ADEX) — radex","text":"Function generating random Exposure Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radex.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Exposure Analysis Dataset (ADEX) — radex","text":"","code":"radex(   adsl,   param = c(\"Dose administered during constant dosing interval\",     \"Number of doses administered during constant dosing interval\",     \"Total dose administered\", \"Total number of doses administered\"),   paramcd = c(\"DOSE\", \"NDOSE\", \"TDOSE\", \"TNDOSE\"),   paramu = c(\"mg\", \" \", \"mg\", \" \"),   parcat1 = c(\"INDIVIDUAL\", \"OVERALL\"),   parcat2 = c(\"Drug A\", \"Drug B\"),   visit_format = \"WEEK\",   n_assessments = 5L,   n_days = 5L,   max_n_exs = 6L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(AVAL = c(NA, 0.1), AVALU = c(NA), 0.1),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radex.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Exposure Analysis Dataset (ADEX) — radex","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. paramu (character vector) Parameter unit values. parcat1 (character vector) Dose amount categories. Defaults \"Individual\" \"Overall\". parcat2 (character vector) Types drug received. Defaults \"Drug \" \"Drug B\". visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). max_n_exs (integer) Maximum number exposures per patient. Defaults 6. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADEX data cadex returned new data generated. set TRUE arguments radex ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radex.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Exposure Analysis Dataset (ADEX) — radex","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radex.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Exposure Analysis Dataset (ADEX) — radex","text":"One record per record corresponding SDTM domain. Keys: STUDYID, USUBJID, EXSEQ, PARAMCD, PARCAT1, ASTDTM, AENDTM, ASTDY, AENDY, AVISITN, EXDOSFRQ, EXROUTE, VISIT, VISITDY, EXSTDTC, EXENDTC, EXSTDY, EXENDY","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radex.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Exposure Analysis Dataset (ADEX) — radex","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1)  adex <- radex(adsl, seed = 2) adex #> # A tibble: 160 × 79 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 150 more rows #> # ℹ 68 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radhy.html","id":null,"dir":"Reference","previous_headings":"","what":"Hy's Law Analysis Dataset (ADHY) — radhy","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"Function generating random Hy's Law Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radhy.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"","code":"radhy(   adsl,   param = c(\"TBILI <= 2 times ULN and ALT value category\",     \"TBILI > 2 times ULN and AST value category\",     \"TBILI > 2 times ULN and ALT value category\",     \"TBILI <= 2 times ULN and AST value category\",     \"TBILI > 2 times ULN and ALKPH <= 2 times ULN and ALT value category\",     \"TBILI > 2 times ULN and ALKPH <= 2 times ULN and AST value category\",     \"TBILI > 2 times ULN and ALKPH <= 5 times ULN and ALT value category\",     \"TBILI > 2 times ULN and ALKPH <= 5 times ULN and AST value category\",     \"TBILI <= 2 times ULN and two consecutive elevations of ALT in relation to ULN\",           \"TBILI > 2 times ULN and two consecutive elevations of AST in relation to ULN\",     \"TBILI <= 2 times ULN and two consecutive elevations of AST in relation to ULN\",     \"TBILI > 2 times ULN and two consecutive elevations of ALT in relation to ULN\",     \"TBILI > 2 times ULN and two consecutive elevations of ALT in relation to Baseline\",     \"TBILI <= 2 times ULN and two consecutive elevations of ALT in relation to Baseline\",     \"TBILI > 2 times ULN and two consecutive elevations of AST in relation to Baseline\",               \"TBILI <= 2 times ULN and two consecutive elevations of AST in relation to Baseline\",     \"ALT > 3 times ULN by Period\", \"AST > 3 times ULN by Period\",     \"ALT or AST > 3 times ULN by Period\", \"ALT > 3 times Baseline by Period\",     \"AST > 3 times Baseline by Period\", \"ALT or AST > 3 times Baseline by Period\"),   paramcd = c(\"BLAL\", \"BGAS\", \"BGAL\", \"BLAS\", \"BA2AL\", \"BA2AS\", \"BA5AL\", \"BA5AS\",     \"BL2AL2CU\", \"BG2AS2CU\", \"BL2AS2CU\", \"BG2AL2CU\", \"BG2AL2CB\", \"BL2AL2CB\", \"BG2AS2CB\",     \"BL2AS2CB\", \"ALTPULN\", \"ASTPULN\", \"ALTASTPU\", \"ALTPBASE\", \"ASTPBASE\", \"ALTASTPB\"),   seed = NULL,   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radhy.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. seed (numeric) Seed use reproducible random number generation. cached boolean whether cached ADHY data cadhy returned new data generated. set TRUE arguments radhy ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radhy.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radhy.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, AVISITN, ADTM, SRCSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radhy.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"wojciakw","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radhy.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adhy <- radhy(adsl, seed = 2) adhy #> # A tibble: 500 × 71 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 490 more rows #> # ℹ 60 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radlb.html","id":null,"dir":"Reference","previous_headings":"","what":"Laboratory Data Analysis Dataset (ADLB) — radlb","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"Function generating random Laboratory Data Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radlb.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"","code":"radlb(   adsl,   lbcat = c(\"CHEMISTRY\", \"CHEMISTRY\", \"IMMUNOLOGY\"),   param = c(\"Alanine Aminotransferase Measurement\", \"C-Reactive Protein Measurement\",     \"Immunoglobulin A Measurement\"),   paramcd = c(\"ALT\", \"CRP\", \"IGA\"),   paramu = c(\"U/L\", \"mg/L\", \"g/L\"),   aval_mean = c(18, 9, 2.9),   visit_format = \"WEEK\",   n_assessments = 5L,   n_days = 5L,   max_n_lbs = 10L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(LOQFL = c(NA, 0.1), ABLFL2 = c(1234, 0.1), ABLFL = c(1235, 0.1), BASE2 =     c(NA, 0.1), BASE = c(NA, 0.1), CHG2 = c(1235, 0.1), PCHG2 = c(1235, 0.1), CHG =     c(1234, 0.1), PCHG = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radlb.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). lbcat (character vector) LB category values. param (character vector) Parameter values. paramcd (character vector) Parameter code values. paramu (character vector) Parameter unit values. aval_mean (numeric vector) Mean values corresponding parameter. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). max_n_lbs (integer) Maximum number labs per patient. Defaults 10. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADLB data cadlb returned new data generated. set TRUE arguments radlb ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radlb.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radlb.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, BASETYPE, AVISITN, ATPTN, DTYPE, ADTM, LBSEQ, ASPID","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radlb.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"tomlinsj, npaszty, Xuefeng Hou","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radlb.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adlb <- radlb(adsl, visit_format = \"WEEK\", n_assessments = 7L, seed = 2) adlb #> # A tibble: 270 × 102 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 260 more rows #> # ℹ 91 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  adlb <- radlb(adsl, visit_format = \"CYCLE\", n_assessments = 2L, seed = 2) adlb #> # A tibble: 330 × 102 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 320 more rows #> # ℹ 91 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radmh.html","id":null,"dir":"Reference","previous_headings":"","what":"Medical History Analysis Dataset (ADMH) — radmh","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"Function generating random Medical History Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radmh.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"","code":"radmh(   adsl,   max_n_mhs = 10L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(MHBODSYS = c(NA, 0.1), MHDECOD = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radmh.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). max_n_mhs (integer) Maximum number MHs per patient. Defaults 10. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADMH data cadmh returned new data generated. set TRUE arguments radmh ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radmh.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radmh.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"One record per record corresponding SDTM domain. Keys: STUDYID, USUBJID, ASTDTM, MHSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radmh.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1)  admh <- radmh(adsl, seed = 2) admh #> # A tibble: 51 × 67 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  8 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 41 more rows #> # ℹ 56 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpc.html","id":null,"dir":"Reference","previous_headings":"","what":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"Function generating random Pharmacokinetics Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"","code":"radpc(   adsl,   avalu = \"ug/mL\",   constants = c(D = 100, ka = 0.8, ke = 1),   duration = 2,   seed = NULL,   na_percentage = 0,   na_vars = list(AVAL = c(NA, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). avalu (character) Analysis value units. constants (character vector) Constant parameters used formulas creating analysis values. duration (numeric) Duration number days. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADPC data cadpc returned new data generated. set TRUE arguments radpc ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpc.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"One record per study, subject, parameter, time point.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adpc <- radpc(adsl, seed = 2) adpc #> # A tibble: 180 × 72 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 170 more rows #> # ℹ 61 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  adpc <- radpc(adsl, seed = 2, duration = 3) adpc #> # A tibble: 206 × 72 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 196 more rows #> # ℹ 61 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpp.html","id":null,"dir":"Reference","previous_headings":"","what":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"Function generating random Pharmacokinetics Parameters Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"","code":"radpp(   adsl,   ppcat = c(\"Plasma Drug X\", \"Plasma Drug Y\", \"Metabolite Drug X\", \"Metabolite Drug Y\"),   ppspec = c(\"Plasma\", \"Plasma\", \"Plasma\", \"Matrix of PD\", \"Matrix of PD\", \"Urine\",     \"Urine\", \"Urine\", \"Urine\"),   paramcd = c(\"AUCIFO\", \"CMAX\", \"CLO\", \"RMAX\", \"TON\", \"RENALCL\", \"RENALCLD\", \"RCAMINT\",     \"RCPCINT\"),   param = c(\"AUC Infinity Obs\", \"Max Conc\", \"Total CL Obs\", \"Time of Maximum Response\",     \"Time to Onset\", \"Renal CL\", \"Renal CL Norm by Dose\", \"Amt Rec from T1 to T2\",     \"Pct Rec from T1 to T2\"),   paramu = c(\"day*ug/mL\", \"ug/mL\", \"ml/day/kg\", \"hr\", \"hr\", \"L/hr\", \"L/hr/mg\", \"mg\",     \"%\"),   aval_mean = c(200, 30, 5, 10, 3, 0.05, 0.005, 1.5613, 15.65),   visit_format = \"CYCLE\",   n_days = 2L,   seed = NULL,   na_percentage = 0,   na_vars = list(AVAL = c(NA, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). ppcat (character vector) Categories parameters. ppspec (character vector) Specimen material types. paramcd (character vector) Parameter code values. param (character vector) Parameter values. paramu (character vector) Parameter unit values. aval_mean (numeric vector) Mean values corresponding parameter. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_days (integer) Number days cycle (used visit_format \"CYCLE\"). seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADPP data cadpp returned new data generated. set TRUE arguments radpp ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpp.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpp.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"One record per study, subject, parameter category, parameter visit.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radpp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adpp <- radpp(adsl, seed = 2) adpp #>     STUDYID             USUBJID SUBJID SITEID AGE  AGEU SEX #> 1   AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 2   AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 3   AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 4   AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 5   AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 6   AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 7   AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 8   AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 9   AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 10  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 11  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 12  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 13  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 14  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 15  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 16  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 17  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 18  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 19  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 20  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 21  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 22  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 23  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 24  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 25  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 26  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 27  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 28  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 29  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 30  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 31  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 32  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 33  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 34  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 35  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 36  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 37  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 38  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 39  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 40  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 41  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 42  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 43  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 44  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 45  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 46  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 47  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 48  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 49  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 50  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 51  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 52  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 53  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 54  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 55  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 56  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 57  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 58  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 59  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 60  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 61  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 62  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 63  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 64  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 65  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 66  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 67  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 68  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 69  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 70  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 71  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 72  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 73  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 74  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 75  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 76  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 77  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 78  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 79  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 80  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 81  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 82  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 83  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 84  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 85  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 86  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 87  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 88  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 89  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 90  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 91  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 92  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 93  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 94  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 95  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 96  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 97  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 98  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 99  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 100 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 101 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 102 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 103 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 104 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 105 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 106 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 107 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 108 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 109 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 110 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 111 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 112 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 113 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 114 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 115 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 116 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 117 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 118 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 119 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 120 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 121 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 122 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 123 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 124 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 125 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 126 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 127 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 128 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 129 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 130 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 131 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 132 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 133 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 134 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 135 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 136 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 137 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 138 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 139 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 140 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 141 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 142 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 143 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 144 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 145 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 146 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 147 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 148 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 149 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 150 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 151 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 152 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 153 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 154 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 155 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 156 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 157 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 158 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 159 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 160 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 161 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 162 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 163 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 164 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 165 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 166 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 167 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 168 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 169 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 170 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 171 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 172 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 173 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 174 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 175 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 176 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 177 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 178 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 179 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 180 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 181 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 182 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 183 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 184 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 185 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 186 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 187 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 188 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 189 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 190 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 191 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 192 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 193 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 194 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 195 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 196 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 197 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 198 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 199 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 200 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 201 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 202 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 203 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 204 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 205 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 206 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 207 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 208 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 209 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 210 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 211 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 212 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 213 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 214 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 215 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 216 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 217 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 218 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 219 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 220 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 221 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 222 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 223 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 224 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 225 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 226 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 227 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 228 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 229 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 230 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 231 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 232 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 233 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 234 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 235 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 236 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 237 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 238 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 239 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 240 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 241 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 242 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 243 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 244 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 245 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 246 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 247 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 248 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 249 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 250 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 251 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 252 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 253 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 254 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 255 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 256 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 257 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 258 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 259 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 260 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 261 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 262 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 263 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 264 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 265 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 266 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 267 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 268 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 269 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 270 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 271 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 272 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 273 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 274 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 275 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 276 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 277 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 278 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 279 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 280 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 281 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 282 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 283 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 284 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 285 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 286 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 287 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 288 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 289 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 290 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 291 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 292 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 293 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 294 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 295 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 296 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 297 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 298 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 299 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 300 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 301 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 302 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 303 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 304 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 305 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 306 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 307 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 308 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 309 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 310 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 311 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 312 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 313 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 314 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 315 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 316 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 317 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 318 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 319 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 320 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 321 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 322 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 323 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 324 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 325 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 326 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 327 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 328 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 329 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 330 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 331 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 332 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 333 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 334 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 335 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 336 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 337 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 338 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 339 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 340 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 341 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 342 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 343 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 344 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 345 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 346 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 347 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 348 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 349 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 350 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 351 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 352 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 353 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 354 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 355 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 356 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 357 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 358 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 359 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 360 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 361 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 362 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 363 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 364 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 365 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 366 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 367 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 368 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 369 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 370 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 371 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 372 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 373 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 374 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 375 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 376 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 377 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 378 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 379 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 380 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 381 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 382 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 383 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 384 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 385 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 386 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 387 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 388 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 389 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 390 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 391 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 392 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 393 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 394 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 395 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 396 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 397 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 398 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 399 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 400 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 401 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 402 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 403 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 404 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 405 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 406 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 407 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 408 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 409 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 410 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 411 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 412 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 413 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 414 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 415 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 416 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 417 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 418 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 419 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 420 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 421 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 422 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 423 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 424 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 425 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 426 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 427 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 428 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 429 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 430 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 431 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 432 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 433 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 434 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 435 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 436 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 437 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 438 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 439 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 440 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 441 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 442 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 443 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 444 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 445 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 446 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 447 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 448 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 449 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 450 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 451 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 452 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 453 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 454 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 455 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 456 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 457 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 458 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 459 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 460 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 461 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 462 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 463 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 464 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 465 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 466 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 467 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 468 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 469 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 470 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 471 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 472 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 473 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 474 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 475 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 476 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 477 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 478 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 479 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 480 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 481 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 482 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 483 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 484 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 485 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 486 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 487 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 488 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 489 AB12345 AB12345-CHN-11-id-1  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AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 506 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 507 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 508 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 509 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 510 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 511 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 512 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 513 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 514 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 515 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 516 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 517 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 518 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 519 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 520 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 521 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 522 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 523 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 524 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 525 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 526 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 527 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 528 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 529 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 530 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 531 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 532 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 533 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 534 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 535 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 536 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 537 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 538 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 539 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 540 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 541 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 542 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 543 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 544 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 545 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 546 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 547 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 548 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 549 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 550 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 551 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 552 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 553 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 554 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 555 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 556 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 557 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 558 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 559 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 560 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 561 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 562 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 563 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 564 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 565 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 566 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 567 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 568 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 569 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 570 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 571 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 572 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 573 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 574 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 575 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 576 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 577 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 578 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 579 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 580 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 581 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 582 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 583 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 584 AB12345 AB12345-USA-13-id-3  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AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 601 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 602 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 603 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 604 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 605 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 606 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 607 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 608 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 609 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 610 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 611 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 612 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 613 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 614 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 615 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 616 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 617 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 618 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 619 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 620 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 621 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 622 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 623 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 624 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 625 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 626 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 627 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 628 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 629 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 630 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 631 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 632 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 633 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 634 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 635 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 636 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 637 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 638 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 639 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 640 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 641 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 642 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 643 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 644 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 645 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 646 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 647 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 648 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 649 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 650 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 651 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 652 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 653 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 654 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 655 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 656 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 657 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 658 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 659 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 660 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #>                                 RACE                 ETHNIC COUNTRY DTHFL #> 1                              ASIAN NOT HISPANIC OR LATINO     JPN     N #> 2   AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 3                              ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 4          BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 5                              WHITE NOT HISPANIC OR LATINO     CHN     Y #> 6                              ASIAN NOT HISPANIC OR LATINO     CHN     N #> 7                              ASIAN NOT HISPANIC OR LATINO     RUS     N #> 8          BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 9                              WHITE NOT HISPANIC OR LATINO     CHN     Y #> 10         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 11                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 12  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 13                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 14         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 15                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 16                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 17                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 18         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 19                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 20         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 21                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 22  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 23                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 24         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 25                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 26                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 27                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 28         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 29                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 30         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 31                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 32  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 33                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 34         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 35                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 36                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 37                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 38         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 39                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 40         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 41                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 42  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 43                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 44         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 45                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 46                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 47                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 48         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 49                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 50         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 51                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 52  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 53                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 54         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 55                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 56                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 57                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 58         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 59                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 60         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 61                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 62  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 63                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 64         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 65                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 66                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 67                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 68         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 69                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 70         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 71                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 72  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 73                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 74         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 75                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 76                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 77                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 78         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 79                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 80         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 81                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 82  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 83                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 84         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 85                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 86                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 87                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 88         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 89                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 90         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 91                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 92  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 93                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 94         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 95                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 96                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 97                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 98         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 99                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 100        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 101                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 102 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 103                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 104        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 105                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 106                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 107                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 108        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 109                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 110        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 111                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 112 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 113                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 114        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 115                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 116                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 117                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 118        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 119                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 120        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 121                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 122 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 123                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 124        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 125                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 126                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 127                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 128        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 129                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 130        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 131                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 132 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 133                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 134        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 135                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 136                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 137                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 138        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 139                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 140        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 141                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 142                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 143 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 144 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 145                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 146                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 147        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 148        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 149                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 150                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 151                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 152                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 153                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 154                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 155        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 156        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 157                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 158                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 159        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 160        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 161                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 162                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 163 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 164 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 165                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 166                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 167        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 168        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 169                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 170                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 171                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 172                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 173                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 174                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 175        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 176        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 177                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 178                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 179        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 180        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 181                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 182                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 183 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 184 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 185                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 186                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 187        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 188        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 189                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 190                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 191                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 192                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 193                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 194                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 195        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 196        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 197                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 198                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 199        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 200        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 201                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 202                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 203 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 204 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 205                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 206                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 207        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 208        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 209                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 210                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 211                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 212                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 213                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 214                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 215        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 216        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 217                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 218                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 219        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 220        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 221                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 222 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 223                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 224        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 225                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 226                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 227                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 228        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 229                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 230        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 231                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 232 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 233                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 234        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 235                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 236                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 237                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 238        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 239                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 240        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 241                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 242 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 243                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 244        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 245                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 246                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 247                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 248        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 249                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 250        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 251                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 252 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 253                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 254        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 255                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 256                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 257                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 258        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 259                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 260        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 261                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 262 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 263                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 264        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 265                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 266                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 267                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 268        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 269                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 270        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 271                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 272 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 273                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 274        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 275                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 276                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 277                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 278        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 279                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 280        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 281                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 282 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 283                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 284        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 285                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 286                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 287                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 288        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 289                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 290        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 291                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 292 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 293                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 294        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 295                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 296                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 297                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 298        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 299                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 300        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 301                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 302 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 303                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 304        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 305                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 306                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 307                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 308        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 309                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 310        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 311                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 312 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 313                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 314        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 315                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 316                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 317                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 318        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 319                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 320        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 321                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 322 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 323                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 324        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 325                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 326                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 327                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 328        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 329                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 330        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 331                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 332 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 333                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 334        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 335                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 336                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 337                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 338        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 339                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 340        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 341                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 342 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 343                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 344        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 345                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 346                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 347                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 348        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 349                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 350        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 351                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 352 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 353                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 354        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 355                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 356                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 357                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 358        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 359                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 360        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 361                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 362                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 363 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 364 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 365                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 366                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 367        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 368        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 369                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 370                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 371                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 372                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 373                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 374                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 375        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 376        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 377                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 378                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 379        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 380        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 381                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 382                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 383 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 384 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 385                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 386                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 387        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 388        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 389                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 390                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 391                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 392                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 393                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 394                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 395        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 396        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 397                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 398                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 399        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 400        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 401                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 402                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 403 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 404 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 405                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 406                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 407        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 408        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 409                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 410                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 411                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 412                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 413                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 414                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 415        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 416        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 417                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 418                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 419        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 420        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 421                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 422                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 423 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 424 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 425                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 426                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 427        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 428        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 429                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 430                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 431                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 432                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 433                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 434                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 435        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 436        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 437                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 438                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 439        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 440        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 441                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 442 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 443                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 444        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 445                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 446                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 447                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 448        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 449                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 450        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 451                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 452 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 453                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 454        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 455                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 456                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 457                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 458        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 459                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 460        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 461                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 462 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 463                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 464        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 465                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 466                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 467                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 468        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 469                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 470        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 471                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 472 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 473                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 474        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 475                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 476                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 477                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 478        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 479                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 480        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 481                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 482 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 483                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 484        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 485                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 486                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 487                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 488        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 489                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 490        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 491                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 492 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 493                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 494        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 495                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 496                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 497                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 498        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 499                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 500        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 501                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 502 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 503                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 504        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 505                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 506                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 507                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 508        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 509                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 510        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 511                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 512 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 513                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 514        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 515                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 516                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 517                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 518        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 519                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 520        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 521                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 522 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 523                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 524        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 525                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 526                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 527                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 528        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 529                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 530        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 531                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 532 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 533                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 534        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 535                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 536                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 537                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 538        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 539                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 540        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 541                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 542 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 543                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 544        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 545                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 546                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 547                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 548        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 549                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 550        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 551                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 552 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 553                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 554        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 555                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 556                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 557                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 558        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 559                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 560        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 561                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 562 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 563                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 564        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 565                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 566                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 567                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 568        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 569                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 570        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 571                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 572 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 573                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 574        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 575                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 576                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 577                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 578        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 579                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 580        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 581                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 582                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 583 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 584 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 585                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 586                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 587        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 588        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 589                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 590                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 591                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 592                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 593                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 594                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 595        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 596        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 597                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 598                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 599        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 600        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 601                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 602                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 603 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 604 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 605                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 606                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 607        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 608        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 609                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 610                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 611                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 612                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 613                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 614                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 615        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 616        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 617                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 618                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 619        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 620        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 621                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 622                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 623 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 624 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 625                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 626                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 627        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 628        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 629                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 630                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 631                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 632                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 633                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 634                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 635        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 636        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 637                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 638                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 639        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 640        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 641                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 642                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 643 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 644 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 645                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 646                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 647        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 648        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 649                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 650                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 651                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 652                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 653                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 654                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 655        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 656        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 657                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 658                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 659        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 660        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #>             INVID         INVNAM            ARM ARMCD         ACTARM ACTARMCD #> 1    INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 2   INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 3    INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 4   INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 5   INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 6    INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 7    INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 8    INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 9   INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 10   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 11   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 12  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 13   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 14  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 15  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 16   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 17   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 18   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 19  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 20   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 21   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 22  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 23   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 24  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 25  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 26   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 27   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 28   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 29  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 30   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 31   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 32  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 33   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 34  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 35  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 36   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 37   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 38   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 39  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 40   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 41   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 42  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 43   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 44  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 45  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 46   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 47   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 48   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 49  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 50   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 51   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 52  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 53   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 54  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 55  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 56   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 57   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 58   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 59  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 60   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 61   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 62  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 63   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 64  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 65  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 66   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 67   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 68   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 69  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 70   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 71   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 72  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 73   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 74  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 75  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 76   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 77   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 78   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 79  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 80   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 81   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 82  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 83   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 84  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 85  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 86   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 87   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 88   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 89  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 90   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 91   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 92  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 93   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 94  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 95  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 96   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 97   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 98   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 99  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 100  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 101  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 102 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 103  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 104 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 105 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 106  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 107  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 108  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 109 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 110  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 111  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 112 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 113  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 114 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 115 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 116  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 117  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 118  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 119 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 120  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 121  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 122 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 123  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 124 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 125 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 126  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 127  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 128  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 129 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 130  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 131  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 132 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 133  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 134 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 135 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 136  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 137  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 138  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 139 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 140  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 141  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 142  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 143 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 144 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 145  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 146  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 147 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 148 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 149 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 150 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 151  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 152  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 153  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 154  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 155  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 156  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 157 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 158 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 159  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 160  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 161  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 162  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 163 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 164 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 165  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 166  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 167 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 168 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 169 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 170 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 171  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 172  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 173  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 174  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 175  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 176  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 177 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 178 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 179  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 180  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 181  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 182  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 183 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 184 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 185  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 186  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 187 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 188 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 189 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 190 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 191  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 192  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 193  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 194  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 195  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 196  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 197 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 198 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 199  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 200  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 201  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 202  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 203 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 204 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 205  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 206  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 207 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 208 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 209 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 210 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 211  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 212  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 213  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 214  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 215  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 216  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 217 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 218 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 219  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 220  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 221  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 222 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 223  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 224 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 225 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 226  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 227  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 228  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 229 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 230  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 231  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 232 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 233  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 234 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 235 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 236  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 237  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 238  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 239 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 240  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 241  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 242 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 243  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 244 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 245 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 246  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 247  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 248  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 249 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 250  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 251  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 252 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 253  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 254 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 255 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 256  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 257  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 258  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 259 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 260  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 261  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 262 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 263  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 264 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 265 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 266  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 267  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 268  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 269 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 270  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 271  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 272 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 273  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 274 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 275 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 276  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 277  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 278  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 279 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 280  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 281  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 282 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 283  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 284 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 285 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 286  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 287  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 288  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 289 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 290  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 291  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 292 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 293  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 294 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 295 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 296  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 297  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 298  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 299 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 300  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 301  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 302 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 303  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 304 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 305 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 306  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 307  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 308  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 309 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 310  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 311  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 312 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 313  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 314 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 315 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 316  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 317  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 318  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 319 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 320  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 321  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 322 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 323  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 324 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 325 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 326  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 327  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 328  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 329 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 330  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 331  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 332 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 333  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 334 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 335 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 336  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 337  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 338  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 339 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 340  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 341  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 342 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 343  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 344 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 345 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 346  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 347  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 348  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 349 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 350  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 351  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 352 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 353  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 354 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 355 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 356  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 357  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 358  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 359 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 360  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 361  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 362  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 363 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 364 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 365  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 366  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 367 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 368 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 369 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 370 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 371  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 372  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 373  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 374  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 375  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 376  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 377 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 378 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 379  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 380  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 381  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 382  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 383 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 384 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 385  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 386  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 387 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 388 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 389 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 390 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 391  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 392  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 393  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 394  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 395  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 396  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 397 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 398 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 399  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 400  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 401  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 402  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 403 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 404 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 405  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 406  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 407 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 408 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 409 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 410 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 411  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 412  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 413  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 414  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 415  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 416  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 417 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 418 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 419  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 420  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 421  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 422  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 423 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 424 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 425  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 426  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 427 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 428 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 429 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 430 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 431  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 432  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 433  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 434  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 435  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 436  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 437 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 438 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 439  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 440  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 441  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 442 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 443  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 444 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 445 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 446  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 447  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 448  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 449 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 450  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 451  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 452 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 453  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 454 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 455 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 456  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 457  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 458  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 459 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 460  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 461  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 462 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 463  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 464 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 465 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 466  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 467  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 468  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 469 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 470  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 471  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 472 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 473  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 474 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 475 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 476  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 477  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 478  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 479 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 480  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 481  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 482 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 483  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 484 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 485 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 486  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 487  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 488  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 489 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 490  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 491  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 492 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 493  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 494 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 495 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 496  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 497  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 498  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 499 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 500  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 501  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 502 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 503  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 504 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 505 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 506  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 507  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 508  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 509 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 510  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 511  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 512 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 513  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 514 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 515 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 516  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 517  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 518  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 519 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 520  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 521  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 522 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 523  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 524 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 525 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 526  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 527  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 528  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 529 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 530  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 531  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 532 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 533  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 534 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 535 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 536  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 537  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 538  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 539 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 540  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 541  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 542 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 543  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 544 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 545 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 546  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 547  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 548  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 549 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 550  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 551  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 552 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 553  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 554 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 555 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 556  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 557  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 558  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 559 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 560  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 561  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 562 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 563  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 564 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 565 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 566  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 567  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 568  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 569 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 570  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 571  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 572 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 573  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 574 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 575 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 576  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 577  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 578  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 579 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 580  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 581  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 582  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 583 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 584 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 585  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 586  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 587 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 588 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 589 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 590 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 591  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 592  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 593  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 594  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 595  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 596  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 597 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 598 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 599  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 600  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 601  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 602  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 603 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 604 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 605  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 606  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 607 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 608 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 609 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 610 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 611  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 612  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 613  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 614  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 615  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 616  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 617 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 618 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 619  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 620  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 621  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 622  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 623 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 624 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 625  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 626  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 627 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 628 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 629 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 630 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 631  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 632  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 633  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 634  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 635  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 636  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 637 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 638 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 639  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 640  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 641  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 642  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 643 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 644 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 645  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 646  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 647 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 648 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 649 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 650 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 651  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 652  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 653  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 654  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 655  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 656  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 657 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 658 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 659  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 660  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #>             TRT01P         TRT01A         TRT02P         TRT02A       REGION1 #> 1        A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 2        A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 3        A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 4        A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 5   C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 6        A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 7        A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 8   C: Combination C: Combination      A: Drug X C: Combination South America #> 9   C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 10  C: Combination C: Combination      A: Drug X C: Combination South America #> 11       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 12       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 13       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 14       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 15  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 16       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 17       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 18  C: Combination C: Combination      A: Drug X C: Combination South America #> 19  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 20  C: Combination C: Combination      A: Drug X C: Combination South America #> 21       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 22       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 23       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 24       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 25  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 26       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 27       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 28  C: Combination C: Combination      A: Drug X C: Combination South America #> 29  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 30  C: Combination C: Combination      A: Drug X C: Combination South America #> 31       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 32       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 33       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 34       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 35  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 36       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 37       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 38  C: Combination C: Combination      A: Drug X C: Combination South America #> 39  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 40  C: Combination C: Combination      A: Drug X C: Combination South America #> 41       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 42       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 43       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 44       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 45  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 46       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 47       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 48  C: Combination C: Combination      A: Drug X C: Combination South America #> 49  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 50  C: Combination C: Combination      A: Drug X C: Combination South America #> 51       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 52       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 53       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 54       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 55  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 56       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 57       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 58  C: Combination C: Combination      A: Drug X C: Combination South America #> 59  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 60  C: Combination C: Combination      A: Drug X C: Combination South America #> 61       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 62       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 63       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 64       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 65  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 66       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 67       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 68  C: Combination C: Combination      A: Drug X C: Combination South America #> 69  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 70  C: Combination C: Combination      A: Drug X C: Combination South America #> 71       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 72       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 73       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 74       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 75  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 76       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 77       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 78  C: Combination C: Combination      A: Drug X C: Combination South America #> 79  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 80  C: Combination C: Combination      A: Drug X C: Combination South America #> 81       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 82       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 83       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 84       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 85  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 86       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 87       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 88  C: Combination C: Combination      A: Drug X C: Combination South America #> 89  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 90  C: Combination C: Combination      A: Drug X C: Combination South America #> 91       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 92       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 93       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 94       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 95  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 96       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 97       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 98  C: Combination C: Combination      A: Drug X C: Combination South America #> 99  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 100 C: Combination C: Combination      A: Drug X C: Combination South America #> 101      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 102      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 103      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 104      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 105 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 106      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 107      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 108 C: Combination C: Combination      A: Drug X C: Combination South America #> 109 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 110 C: Combination C: Combination      A: Drug X C: Combination South America #> 111      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 112      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 113      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 114      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 115 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 116      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 117      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 118 C: Combination C: Combination      A: Drug X C: Combination South America #> 119 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 120 C: Combination C: Combination      A: Drug X C: Combination South America #> 121      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 122      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 123      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 124      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 125 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 126      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 127      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 128 C: Combination C: Combination      A: Drug X C: Combination South America #> 129 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 130 C: Combination C: Combination      A: Drug X C: Combination South America #> 131      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 132      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 133      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 134      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 135 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 136      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 137      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 138 C: Combination C: Combination      A: Drug X C: Combination South America #> 139 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 140 C: Combination C: Combination      A: Drug X C: Combination South America #> 141      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 142      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 143      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 144      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 145      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 146      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 147      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 148      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 149 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 150 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 151      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 152      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 153      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 154      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 155 C: Combination C: Combination      A: Drug X C: Combination South America #> 156 C: Combination C: Combination      A: Drug X C: Combination South America #> 157 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 158 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 159 C: Combination C: Combination      A: Drug X C: Combination South America #> 160 C: Combination C: Combination      A: Drug X C: Combination South America #> 161      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 162      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 163      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 164      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 165      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 166      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 167      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 168      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 169 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 170 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 171      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 172      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 173      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 174      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 175 C: Combination C: Combination      A: Drug X C: Combination South America #> 176 C: Combination C: Combination      A: Drug X C: Combination South America #> 177 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 178 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 179 C: Combination C: Combination      A: Drug X C: Combination South America #> 180 C: Combination C: Combination      A: Drug X C: Combination South America #> 181      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 182      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 183      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 184      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 185      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 186      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 187      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 188      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 189 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 190 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 191      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 192      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 193      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 194      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 195 C: Combination C: Combination      A: Drug X C: Combination South America #> 196 C: Combination C: Combination      A: Drug X C: Combination South America #> 197 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 198 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 199 C: Combination C: Combination      A: Drug X C: Combination South America #> 200 C: Combination C: Combination      A: Drug X C: Combination South America #> 201      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 202      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 203      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 204      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 205      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 206      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 207      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 208      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 209 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 210 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 211      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 212      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 213      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 214      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 215 C: Combination C: Combination      A: Drug X C: Combination South America #> 216 C: Combination C: Combination      A: Drug X C: Combination South America #> 217 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 218 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 219 C: Combination C: Combination      A: Drug X C: Combination South America #> 220 C: Combination C: Combination      A: Drug X C: Combination South America #> 221      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 222      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 223      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 224      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 225 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 226      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 227      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 228 C: Combination C: Combination      A: Drug X C: Combination South America #> 229 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 230 C: Combination C: Combination      A: Drug X C: Combination South America #> 231      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 232      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 233      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 234      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 235 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 236      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 237      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 238 C: Combination C: Combination      A: Drug X C: Combination South America #> 239 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 240 C: Combination C: Combination      A: Drug X C: Combination South America #> 241      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 242      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 243      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 244      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 245 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 246      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 247      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 248 C: Combination C: Combination      A: Drug X C: Combination South America #> 249 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 250 C: Combination C: Combination      A: Drug X C: Combination South America #> 251      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 252      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 253      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 254      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 255 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 256      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 257      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 258 C: Combination C: Combination      A: Drug X C: Combination South America #> 259 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 260 C: Combination C: Combination      A: Drug X C: Combination South America #> 261      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 262      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 263      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 264      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 265 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 266      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 267      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 268 C: Combination C: Combination      A: Drug X C: Combination South America #> 269 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 270 C: Combination C: Combination      A: Drug X C: Combination South America #> 271      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 272      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 273      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 274      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 275 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 276      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 277      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 278 C: Combination C: Combination      A: Drug X C: Combination South America #> 279 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 280 C: Combination C: Combination      A: Drug X C: Combination South America #> 281      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 282      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 283      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 284      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 285 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 286      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 287      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 288 C: Combination C: Combination      A: Drug X C: Combination South America #> 289 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 290 C: Combination C: Combination      A: Drug X C: Combination South America #> 291      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 292      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 293      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 294      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 295 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 296      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 297      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 298 C: Combination C: Combination      A: Drug X C: Combination South America #> 299 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 300 C: Combination C: Combination      A: Drug X C: Combination South America #> 301      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 302      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 303      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 304      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 305 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 306      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 307      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 308 C: Combination C: Combination      A: Drug X C: Combination South America #> 309 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 310 C: Combination C: Combination      A: Drug X C: Combination South America #> 311      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 312      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 313      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 314      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 315 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 316      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 317      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 318 C: Combination C: Combination      A: Drug X C: Combination South America #> 319 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 320 C: Combination C: Combination      A: Drug X C: Combination South America #> 321      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 322      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 323      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 324      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 325 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 326      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 327      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 328 C: Combination C: Combination      A: Drug X C: Combination South America #> 329 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 330 C: Combination C: Combination      A: Drug X C: Combination South America #> 331      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 332      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 333      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 334      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 335 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 336      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 337      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 338 C: Combination C: Combination      A: Drug X C: Combination South America #> 339 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 340 C: Combination C: Combination      A: Drug X C: Combination South America #> 341      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 342      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 343      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 344      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 345 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 346      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 347      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 348 C: Combination C: Combination      A: Drug X C: Combination South America #> 349 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 350 C: Combination C: Combination      A: Drug X C: Combination South America #> 351      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 352      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 353      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 354      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 355 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 356      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 357      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 358 C: Combination C: Combination      A: Drug X C: Combination South America #> 359 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 360 C: Combination C: Combination      A: Drug X C: Combination South America #> 361      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 362      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 363      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 364      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 365      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 366      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 367      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 368      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 369 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 370 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 371      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 372      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 373      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 374      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 375 C: Combination C: Combination      A: Drug X C: Combination South America #> 376 C: Combination C: Combination      A: Drug X C: Combination South America #> 377 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 378 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 379 C: Combination C: Combination      A: Drug X C: Combination South America #> 380 C: Combination C: Combination      A: Drug X C: Combination South America #> 381      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 382      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 383      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 384      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 385      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 386      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 387      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 388      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 389 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 390 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 391      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 392      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 393      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 394      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 395 C: Combination C: Combination      A: Drug X C: Combination South America #> 396 C: Combination C: Combination      A: Drug X C: Combination South America #> 397 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 398 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 399 C: Combination C: Combination      A: Drug X C: Combination South America #> 400 C: Combination C: Combination      A: Drug X C: Combination South America #> 401      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 402      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 403      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 404      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 405      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 406      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 407      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 408      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 409 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 410 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 411      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 412      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 413      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 414      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 415 C: Combination C: Combination      A: Drug X C: Combination South America #> 416 C: Combination C: Combination      A: Drug X C: Combination South America #> 417 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 418 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 419 C: Combination C: Combination      A: Drug X C: Combination South America #> 420 C: Combination C: Combination      A: Drug X C: Combination South America #> 421      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 422      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 423      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 424      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 425      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 426      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 427      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 428      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 429 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 430 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 431      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 432      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 433      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 434      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 435 C: Combination C: Combination      A: Drug X C: Combination South America #> 436 C: Combination C: Combination      A: Drug X C: Combination South America #> 437 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 438 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 439 C: Combination C: Combination      A: Drug X C: Combination South America #> 440 C: Combination C: Combination      A: Drug X C: Combination South America #> 441      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 442      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 443      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 444      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 445 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 446      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 447      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 448 C: Combination C: Combination      A: Drug X C: Combination South America #> 449 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 450 C: Combination C: Combination      A: Drug X C: Combination South America #> 451      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 452      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 453      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 454      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 455 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 456      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 457      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 458 C: Combination C: Combination      A: Drug X C: Combination South America #> 459 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 460 C: Combination C: Combination      A: Drug X C: Combination South America #> 461      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 462      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 463      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 464      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 465 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 466      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 467      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 468 C: Combination C: Combination      A: Drug X C: Combination South America #> 469 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 470 C: Combination C: Combination      A: Drug X C: Combination South America #> 471      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 472      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 473      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 474      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 475 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 476      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 477      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 478 C: Combination C: Combination      A: Drug X C: Combination South America #> 479 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 480 C: Combination C: Combination      A: Drug X C: Combination South America #> 481      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 482      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 483      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 484      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 485 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 486      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 487      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 488 C: Combination C: Combination      A: Drug X C: Combination South America #> 489 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 490 C: Combination C: Combination      A: Drug X C: Combination South America #> 491      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 492      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 493      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 494      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 495 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 496      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 497      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 498 C: Combination C: Combination      A: Drug X C: Combination South America #> 499 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 500 C: Combination C: Combination      A: Drug X C: Combination South America #> 501      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 502      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 503      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 504      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 505 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 506      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 507      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 508 C: Combination C: Combination      A: Drug X C: Combination South America #> 509 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 510 C: Combination C: Combination      A: Drug X C: Combination South America #> 511      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 512      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 513      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 514      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 515 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 516      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 517      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 518 C: Combination C: Combination      A: Drug X C: Combination South America #> 519 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 520 C: Combination C: Combination      A: Drug X C: Combination South America #> 521      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 522      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 523      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 524      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 525 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 526      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 527      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 528 C: Combination C: Combination      A: Drug X C: Combination South America #> 529 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 530 C: Combination C: Combination      A: Drug X C: Combination South America #> 531      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 532      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 533      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 534      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 535 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 536      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 537      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 538 C: Combination C: Combination      A: Drug X C: Combination South America #> 539 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 540 C: Combination C: Combination      A: Drug X C: Combination South America #> 541      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 542      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 543      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 544      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 545 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 546      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 547      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 548 C: Combination C: Combination      A: Drug X C: Combination South America #> 549 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 550 C: Combination C: Combination      A: Drug X C: Combination South America #> 551      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 552      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 553      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 554      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 555 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 556      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 557      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 558 C: Combination C: Combination      A: Drug X C: Combination South America #> 559 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 560 C: Combination C: Combination      A: Drug X C: Combination South America #> 561      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 562      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 563      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 564      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 565 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 566      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 567      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 568 C: Combination C: Combination      A: Drug X C: Combination South America #> 569 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 570 C: Combination C: Combination      A: Drug X C: Combination South America #> 571      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 572      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 573      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 574      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 575 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 576      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 577      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 578 C: Combination C: Combination      A: Drug X C: Combination South America #> 579 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 580 C: Combination C: Combination      A: Drug X C: Combination South America #> 581      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 582      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 583      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 584      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 585      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 586      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 587      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 588      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 589 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 590 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 591      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 592      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 593      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 594      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 595 C: Combination C: Combination      A: Drug X C: Combination South America #> 596 C: Combination C: Combination      A: Drug X C: Combination South America #> 597 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 598 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 599 C: Combination C: Combination      A: Drug X C: Combination South America #> 600 C: Combination C: Combination      A: Drug X C: Combination South America #> 601      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 602      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 603      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 604      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 605      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 606      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 607      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 608      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 609 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 610 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 611      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 612      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 613      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 614      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 615 C: Combination C: Combination      A: Drug X C: Combination South America #> 616 C: Combination C: Combination      A: Drug X C: Combination South America #> 617 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 618 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 619 C: Combination C: Combination      A: Drug X C: Combination South America #> 620 C: Combination C: Combination      A: Drug X C: Combination South America #> 621      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 622      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 623      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 624      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 625      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 626      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 627      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 628      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 629 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 630 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 631      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 632      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 633      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 634      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 635 C: Combination C: Combination      A: Drug X C: Combination South America #> 636 C: Combination C: Combination      A: Drug X C: Combination South America #> 637 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 638 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 639 C: Combination C: Combination      A: Drug X C: Combination South America #> 640 C: Combination C: Combination      A: Drug X C: Combination South America #> 641      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 642      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 643      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 644      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 645      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 646      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 647      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 648      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 649 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 650 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 651      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 652      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 653      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 654      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 655 C: Combination C: Combination      A: Drug X C: Combination South America #> 656 C: Combination C: Combination      A: Drug X C: Combination South America #> 657 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 658 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 659 C: Combination C: Combination      A: Drug X C: Combination South America #> 660 C: Combination C: Combination      A: Drug X C: Combination South America #>     STRATA1 STRATA2    BMRKR1 BMRKR2 ITTFL SAFFL BMEASIFL BEP01FL AEWITHFL #> 1         B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 2         C      S1  7.254058    LOW     Y     Y        Y       N        N #> 3         B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 4         C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 5         B      S1  8.926907    LOW     Y     Y        N       N        N #> 6         A      S2  2.619796    LOW     Y     Y        Y       N        N #> 7         B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 8         A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 9         B      S1  8.926907    LOW     Y     Y        N       N        N #> 10        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 11        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 12        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 13        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 14        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 15        B      S1  8.926907    LOW     Y     Y        N       N        N #> 16        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 17        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 18        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 19        B      S1  8.926907    LOW     Y     Y        N       N        N #> 20        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 21        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 22        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 23        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 24        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 25        B      S1  8.926907    LOW     Y     Y        N       N        N #> 26        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 27        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 28        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 29        B      S1  8.926907    LOW     Y     Y        N       N        N #> 30        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 31        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 32        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 33        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 34        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 35        B      S1  8.926907    LOW     Y     Y        N       N        N #> 36        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 37        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 38        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 39        B      S1  8.926907    LOW     Y     Y        N       N        N #> 40        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 41        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 42        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 43        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 44        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 45        B      S1  8.926907    LOW     Y     Y        N       N        N #> 46        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 47        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 48        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 49        B      S1  8.926907    LOW     Y     Y        N       N        N #> 50        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 51        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 52        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 53        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 54        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 55        B      S1  8.926907    LOW     Y     Y        N       N        N #> 56        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 57        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 58        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 59        B      S1  8.926907    LOW     Y     Y        N       N        N #> 60        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 61        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 62        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 63        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 64        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 65        B      S1  8.926907    LOW     Y     Y        N       N        N #> 66        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 67        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 68        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 69        B      S1  8.926907    LOW     Y     Y        N       N        N #> 70        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 71        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 72        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 73        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 74        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 75        B      S1  8.926907    LOW     Y     Y        N       N        N #> 76        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 77        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 78        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 79        B      S1  8.926907    LOW     Y     Y        N       N        N #> 80        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 81        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 82        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 83        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 84        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 85        B      S1  8.926907    LOW     Y     Y        N       N        N #> 86        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 87        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 88        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 89        B      S1  8.926907    LOW     Y     Y        N       N        N #> 90        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 91        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 92        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 93        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 94        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 95        B      S1  8.926907    LOW     Y     Y        N       N        N #> 96        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 97        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 98        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 99        B      S1  8.926907    LOW     Y     Y        N       N        N #> 100       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 101       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 102       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 103       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 104       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 105       B      S1  8.926907    LOW     Y     Y        N       N        N #> 106       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 107       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 108       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 109       B      S1  8.926907    LOW     Y     Y        N       N        N #> 110       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 111       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 112       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 113       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 114       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 115       B      S1  8.926907    LOW     Y     Y        N       N        N #> 116       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 117       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 118       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 119       B      S1  8.926907    LOW     Y     Y        N       N        N #> 120       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 121       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 122       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 123       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 124       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 125       B      S1  8.926907    LOW     Y     Y        N       N        N #> 126       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 127       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 128       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 129       B      S1  8.926907    LOW     Y     Y        N       N        N #> 130       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 131       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 132       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 133       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 134       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 135       B      S1  8.926907    LOW     Y     Y        N       N        N #> 136       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 137       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 138       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 139       B      S1  8.926907    LOW     Y     Y        N       N        N #> 140       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 141       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 142       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 143       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 144       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 145       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 146       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 147       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 148       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 149       B      S1  8.926907    LOW     Y     Y        N       N        N #> 150       B      S1  8.926907    LOW     Y     Y        N       N        N #> 151       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 152       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 153       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 154       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 155       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 156       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 157       B      S1  8.926907    LOW     Y     Y        N       N        N #> 158       B      S1  8.926907    LOW     Y     Y        N       N        N #> 159       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 160       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 161       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 162       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 163       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 164       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 165       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 166       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 167       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 168       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 169       B      S1  8.926907    LOW     Y     Y        N       N        N #> 170       B      S1  8.926907    LOW     Y     Y        N       N        N #> 171       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 172       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 173       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 174       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 175       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 176       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 177       B      S1  8.926907    LOW     Y     Y        N       N        N #> 178       B      S1  8.926907    LOW     Y     Y        N       N        N #> 179       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 180       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 181       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 182       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 183       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 184       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 185       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 186       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 187       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 188       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 189       B      S1  8.926907    LOW     Y     Y        N       N        N #> 190       B      S1  8.926907    LOW     Y     Y        N       N        N #> 191       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 192       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 193       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 194       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 195       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 196       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 197       B      S1  8.926907    LOW     Y     Y        N       N        N #> 198       B      S1  8.926907    LOW     Y     Y        N       N        N #> 199       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 200       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 201       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 202       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 203       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 204       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 205       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 206       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 207       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 208       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 209       B      S1  8.926907    LOW     Y     Y        N       N        N #> 210       B      S1  8.926907    LOW     Y     Y        N       N        N #> 211       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 212       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 213       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 214       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 215       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 216       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 217       B      S1  8.926907    LOW     Y     Y        N       N        N #> 218       B      S1  8.926907    LOW     Y     Y        N       N        N #> 219       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 220       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 221       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 222       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 223       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 224       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 225       B      S1  8.926907    LOW     Y     Y        N       N        N #> 226       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 227       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 228       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 229       B      S1  8.926907    LOW     Y     Y        N       N        N #> 230       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 231       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 232       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 233       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 234       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 235       B      S1  8.926907    LOW     Y     Y        N       N        N #> 236       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 237       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 238       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 239       B      S1  8.926907    LOW     Y     Y        N       N        N #> 240       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 241       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 242       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 243       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 244       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 245       B      S1  8.926907    LOW     Y     Y        N       N        N #> 246       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 247       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 248       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 249       B      S1  8.926907    LOW     Y     Y        N       N        N #> 250       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 251       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 252       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 253       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 254       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 255       B      S1  8.926907    LOW     Y     Y        N       N        N #> 256       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 257       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 258       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 259       B      S1  8.926907    LOW     Y     Y        N       N        N #> 260       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 261       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 262       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 263       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 264       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 265       B      S1  8.926907    LOW     Y     Y        N       N        N #> 266       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 267       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 268       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 269       B      S1  8.926907    LOW     Y     Y        N       N        N #> 270       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 271       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 272       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 273       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 274       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 275       B      S1  8.926907    LOW     Y     Y        N       N        N #> 276       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 277       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 278       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 279       B      S1  8.926907    LOW     Y     Y        N       N        N #> 280       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 281       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 282       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 283       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 284       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 285       B      S1  8.926907    LOW     Y     Y        N       N        N #> 286       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 287       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 288       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 289       B      S1  8.926907    LOW     Y     Y        N       N        N #> 290       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 291       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 292       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 293       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 294       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 295       B      S1  8.926907    LOW     Y     Y        N       N        N #> 296       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 297       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 298       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 299       B      S1  8.926907    LOW     Y     Y        N       N        N #> 300       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 301       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 302       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 303       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 304       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 305       B      S1  8.926907    LOW     Y     Y        N       N        N #> 306       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 307       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 308       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 309       B      S1  8.926907    LOW     Y     Y        N       N        N #> 310       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 311       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 312       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 313       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 314       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 315       B      S1  8.926907    LOW     Y     Y        N       N        N #> 316       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 317       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 318       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 319       B      S1  8.926907    LOW     Y     Y        N       N        N #> 320       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 321       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 322       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 323       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 324       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 325       B      S1  8.926907    LOW     Y     Y        N       N        N #> 326       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 327       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 328       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 329       B      S1  8.926907    LOW     Y     Y        N       N        N #> 330       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 331       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 332       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 333       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 334       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 335       B      S1  8.926907    LOW     Y     Y        N       N        N #> 336       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 337       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 338       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 339       B      S1  8.926907    LOW     Y     Y        N       N        N #> 340       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 341       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 342       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 343       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 344       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 345       B      S1  8.926907    LOW     Y     Y        N       N        N #> 346       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 347       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 348       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 349       B      S1  8.926907    LOW     Y     Y        N       N        N #> 350       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 351       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 352       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 353       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 354       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 355       B      S1  8.926907    LOW     Y     Y        N       N        N #> 356       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 357       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 358       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 359       B      S1  8.926907    LOW     Y     Y        N       N        N #> 360       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 361       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 362       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 363       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 364       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 365       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 366       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 367       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 368       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 369       B      S1  8.926907    LOW     Y     Y        N       N        N #> 370       B      S1  8.926907    LOW     Y     Y        N       N        N #> 371       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 372       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 373       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 374       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 375       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 376       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 377       B      S1  8.926907    LOW     Y     Y        N       N        N #> 378       B      S1  8.926907    LOW     Y     Y        N       N        N #> 379       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 380       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 381       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 382       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 383       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 384       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 385       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 386       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 387       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 388       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 389       B      S1  8.926907    LOW     Y     Y        N       N        N #> 390       B      S1  8.926907    LOW     Y     Y        N       N        N #> 391       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 392       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 393       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 394       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 395       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 396       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 397       B      S1  8.926907    LOW     Y     Y        N       N        N #> 398       B      S1  8.926907    LOW     Y     Y        N       N        N #> 399       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 400       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 401       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 402       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 403       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 404       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 405       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 406       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 407       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 408       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 409       B      S1  8.926907    LOW     Y     Y        N       N        N #> 410       B      S1  8.926907    LOW     Y     Y        N       N        N #> 411       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 412       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 413       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 414       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 415       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 416       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 417       B      S1  8.926907    LOW     Y     Y        N       N        N #> 418       B      S1  8.926907    LOW     Y     Y        N       N        N #> 419       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 420       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 421       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 422       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 423       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 424       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 425       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 426       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 427       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 428       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 429       B      S1  8.926907    LOW     Y     Y        N       N        N #> 430       B      S1  8.926907    LOW     Y     Y        N       N        N #> 431       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 432       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 433       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 434       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 435       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 436       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 437       B      S1  8.926907    LOW     Y     Y        N       N        N #> 438       B      S1  8.926907    LOW     Y     Y        N       N        N #> 439       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 440       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 441       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 442       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 443       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 444       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 445       B      S1  8.926907    LOW     Y     Y        N       N        N #> 446       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 447       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 448       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 449       B      S1  8.926907    LOW     Y     Y        N       N        N #> 450       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 451       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 452       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 453       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 454       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 455       B      S1  8.926907    LOW     Y     Y        N       N        N #> 456       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 457       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 458       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 459       B      S1  8.926907    LOW     Y     Y        N       N        N #> 460       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 461       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 462       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 463       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 464       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 465       B      S1  8.926907    LOW     Y     Y        N       N        N #> 466       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 467       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 468       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 469       B      S1  8.926907    LOW     Y     Y        N       N        N #> 470       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 471       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 472       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 473       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 474       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 475       B      S1  8.926907    LOW     Y     Y        N       N        N #> 476       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 477       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 478       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 479       B      S1  8.926907    LOW     Y     Y        N       N        N #> 480       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 481       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 482       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 483       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 484       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 485       B      S1  8.926907    LOW     Y     Y        N       N        N #> 486       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 487       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 488       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 489       B      S1  8.926907    LOW     Y     Y        N       N        N #> 490       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 491       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 492       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 493       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 494       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 495       B      S1  8.926907    LOW     Y     Y        N       N        N #> 496       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 497       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 498       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 499       B      S1  8.926907    LOW     Y     Y        N       N        N #> 500       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 501       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 502       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 503       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 504       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 505       B      S1  8.926907    LOW     Y     Y        N       N        N #> 506       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 507       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 508       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 509       B      S1  8.926907    LOW     Y     Y        N       N        N #> 510       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 511       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 512       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 513       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 514       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 515       B      S1  8.926907    LOW     Y     Y        N       N        N #> 516       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 517       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 518       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 519       B      S1  8.926907    LOW     Y     Y        N       N        N #> 520       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 521       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 522       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 523       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 524       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 525       B      S1  8.926907    LOW     Y     Y        N       N        N #> 526       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 527       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 528       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 529       B      S1  8.926907    LOW     Y     Y        N       N        N #> 530       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 531       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 532       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 533       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 534       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 535       B      S1  8.926907    LOW     Y     Y        N       N        N #> 536       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 537       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 538       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 539       B      S1  8.926907    LOW     Y     Y        N       N        N #> 540       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 541       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 542       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 543       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 544       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 545       B      S1  8.926907    LOW     Y     Y        N       N        N #> 546       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 547       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 548       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 549       B      S1  8.926907    LOW     Y     Y        N       N        N #> 550       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 551       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 552       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 553       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 554       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 555       B      S1  8.926907    LOW     Y     Y        N       N        N #> 556       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 557       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 558       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 559       B      S1  8.926907    LOW     Y     Y        N       N        N #> 560       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 561       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 562       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 563       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 564       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 565       B      S1  8.926907    LOW     Y     Y        N       N        N #> 566       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 567       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 568       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 569       B      S1  8.926907    LOW     Y     Y        N       N        N #> 570       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 571       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 572       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 573       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 574       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 575       B      S1  8.926907    LOW     Y     Y        N       N        N #> 576       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 577       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 578       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 579       B      S1  8.926907    LOW     Y     Y        N       N        N #> 580       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 581       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 582       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 583       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 584       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 585       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 586       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 587       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 588       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 589       B      S1  8.926907    LOW     Y     Y        N       N        N #> 590       B      S1  8.926907    LOW     Y     Y        N       N        N #> 591       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 592       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 593       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 594       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 595       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 596       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 597       B      S1  8.926907    LOW     Y     Y        N       N        N #> 598       B      S1  8.926907    LOW     Y     Y        N       N        N #> 599       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 600       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 601       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 602       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 603       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 604       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 605       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 606       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 607       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 608       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 609       B      S1  8.926907    LOW     Y     Y        N       N        N #> 610       B      S1  8.926907    LOW     Y     Y        N       N        N #> 611       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 612       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 613       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 614       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 615       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 616       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 617       B      S1  8.926907    LOW     Y     Y        N       N        N #> 618       B      S1  8.926907    LOW     Y     Y        N       N        N #> 619       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 620       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 621       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 622       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 623       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 624       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 625       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 626       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 627       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 628       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 629       B      S1  8.926907    LOW     Y     Y        N       N        N #> 630       B      S1  8.926907    LOW     Y     Y        N       N        N #> 631       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 632       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 633       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 634       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 635       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 636       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 637       B      S1  8.926907    LOW     Y     Y        N       N        N #> 638       B      S1  8.926907    LOW     Y     Y        N       N        N #> 639       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 640       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 641       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 642       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 643       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 644       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 645       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 646       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 647       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 648       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 649       B      S1  8.926907    LOW     Y     Y        N       N        N #> 650       B      S1  8.926907    LOW     Y     Y        N       N        N #> 651       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 652       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 653       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 654       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 655       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 656       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 657       B      S1  8.926907    LOW     Y     Y        N       N        N #> 658       B      S1  8.926907    LOW     Y     Y        N       N        N #> 659       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 660       A      S1  6.922043   HIGH     Y     Y        Y       N        N #>         RANDDT             TRTSDTM             TRTEDTM           TRT01SDTM #> 1   2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 2   2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 3   2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 4   2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 5   2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 6   2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 7   2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 8   2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 9   2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 10  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 11  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 12  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 13  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 14  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 15  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 16  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 17  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 18  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 19  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 20  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 21  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 22  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 23  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 24  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 25  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 26  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 27  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 28  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 29  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 30  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 31  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 32  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 33  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 34  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 35  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 36  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 37  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 38  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 39  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 40  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 41  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 42  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 43  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 44  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 45  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 46  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 47  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 48  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 49  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 50  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 51  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 52  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 53  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 54  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 55  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 56  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 57  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 58  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 59  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 60  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 61  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 62  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 63  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 64  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 65  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 66  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 67  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 68  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 69  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 70  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 71  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 72  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 73  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 74  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 75  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 76  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 77  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 78  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 79  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 80  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 81  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 82  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 83  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 84  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 85  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 86  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 87  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 88  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 89  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 90  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 91  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 92  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 93  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 94  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 95  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 96  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 97  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 98  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 99  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 100 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 101 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 102 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 103 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 104 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 105 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 106 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 107 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 108 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 109 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 110 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 111 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 112 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 113 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 114 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 115 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 116 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 117 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 118 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 119 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 120 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 121 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 122 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 123 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 124 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 125 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 126 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 127 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 128 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 129 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 130 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 131 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 132 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 133 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 134 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 135 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 136 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 137 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 138 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 139 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 140 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 141 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 142 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 143 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 144 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 145 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 146 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 147 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 148 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 149 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 150 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 151 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 152 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 153 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 154 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 155 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 156 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 157 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 158 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 159 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 160 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 161 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 162 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 163 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 164 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 165 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 166 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 167 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 168 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 169 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 170 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 171 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 172 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 173 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 174 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 175 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 176 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 177 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 178 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 179 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 180 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 181 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 182 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 183 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 184 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 185 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 186 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 187 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 188 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 189 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 190 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 191 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 192 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 193 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 194 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 195 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 196 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 197 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 198 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 199 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 200 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 201 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 202 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 203 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 204 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 205 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 206 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 207 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 208 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 209 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 210 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 211 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 212 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 213 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 214 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 215 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 216 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 217 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 218 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 219 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 220 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 221 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 222 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 223 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 224 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 225 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 226 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 227 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 228 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 229 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 230 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 231 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 232 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 233 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 234 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 235 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 236 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 237 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 238 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 239 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 240 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 241 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 242 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 243 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 244 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 245 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 246 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 247 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 248 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 249 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 250 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 251 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 252 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 253 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 254 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 255 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 256 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 257 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 258 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 259 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 260 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 261 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 262 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 263 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 264 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 265 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 266 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 267 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 268 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 269 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 270 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 271 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 272 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 273 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 274 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 275 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 276 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 277 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 278 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 279 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 280 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 281 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 282 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 283 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 284 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 285 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 286 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 287 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 288 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 289 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 290 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 291 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 292 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 293 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 294 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 295 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 296 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 297 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 298 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 299 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 300 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 301 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 302 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 303 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 304 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 305 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 306 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 307 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 308 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 309 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 310 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 311 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 312 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 313 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 314 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 315 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 316 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 317 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 318 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 319 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 320 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 321 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 322 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 323 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 324 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 325 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 326 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 327 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 328 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 329 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 330 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 331 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 332 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 333 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 334 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 335 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 336 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 337 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 338 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 339 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 340 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 341 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 342 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 343 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 344 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 345 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 346 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 347 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 348 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 349 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 350 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 351 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 352 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 353 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 354 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 355 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 356 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 357 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 358 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 359 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 360 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 361 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 362 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 363 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 364 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 365 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 366 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 367 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 368 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 369 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 370 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 371 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 372 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 373 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 374 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 375 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 376 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 377 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 378 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 379 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 380 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 381 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 382 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 383 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 384 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 385 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 386 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 387 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 388 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 389 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 390 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 391 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 392 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 393 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 394 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 395 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 396 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 397 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 398 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 399 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 400 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 401 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 402 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 403 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 404 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 405 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 406 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 407 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 408 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 409 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 410 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 411 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 412 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 413 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 414 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 415 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 416 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 417 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 418 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 419 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 420 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 421 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 422 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 423 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 424 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 425 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 426 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 427 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 428 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 429 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 430 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 431 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 432 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 433 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 434 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 435 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 436 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 437 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 438 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 439 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 440 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 441 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 442 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 443 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 444 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 445 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 446 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 447 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 448 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 449 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 450 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 451 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 452 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 453 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 454 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 455 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 456 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 457 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 458 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 459 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 460 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 461 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 462 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 463 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 464 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 465 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 466 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 467 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 468 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 469 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 470 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 471 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 472 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 473 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 474 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 475 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 476 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 477 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 478 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 479 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 480 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 481 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 482 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 483 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 484 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 485 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 486 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 487 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 488 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 489 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 490 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 491 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 492 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 493 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 494 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 495 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 496 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 497 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 498 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 499 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 500 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 501 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 502 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 503 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 504 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 505 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 506 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 507 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 508 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 509 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 510 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 511 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 512 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 513 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 514 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 515 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 516 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 517 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 518 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 519 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 520 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 521 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 522 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 523 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 524 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 525 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 526 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 527 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 528 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 529 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 530 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 531 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 532 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 533 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 534 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 535 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 536 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 537 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 538 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 539 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 540 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 541 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 542 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 543 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 544 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 545 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 546 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 547 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 548 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 549 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 550 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 551 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 552 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 553 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 554 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 555 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 556 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 557 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 558 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 559 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 560 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 561 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 562 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 563 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 564 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 565 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 566 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 567 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 568 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 569 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 570 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 571 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 572 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 573 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 574 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 575 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 576 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 577 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 578 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 579 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 580 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 581 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 582 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 583 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 584 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 585 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 586 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 587 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 588 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 589 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 590 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 591 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 592 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 593 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 594 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 595 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 596 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 597 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 598 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 599 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 600 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 601 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 602 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 603 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 604 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 605 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 606 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 607 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 608 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 609 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 610 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 611 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 612 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 613 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 614 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 615 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 616 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 617 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 618 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 619 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 620 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 621 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 622 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 623 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 624 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 625 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 626 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 627 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 628 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 629 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 630 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 631 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 632 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 633 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 634 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 635 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 636 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 637 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 638 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 639 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 640 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 641 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 642 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 643 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 644 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 645 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 646 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 647 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 648 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 649 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 650 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 651 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 652 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 653 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 654 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 655 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 656 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 657 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 658 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 659 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 660 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #>               TRT01EDTM           TRT02SDTM           TRT02EDTM #> 1   2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 2   2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 3   2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 4                  <NA>                <NA>                <NA> #> 5   2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 6   2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 7   2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 8   2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 9   2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 10  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 11  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 12  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 13  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 14                 <NA>                <NA>                <NA> #> 15  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 16  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 17  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 18  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 19  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 20  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 21  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 22  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 23  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 24                 <NA>                <NA>                <NA> #> 25  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 26  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 27  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 28  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 29  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 30  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 31  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 32  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 33  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 34                 <NA>                <NA>                <NA> #> 35  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 36  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 37  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 38  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 39  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 40  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 41  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 42  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 43  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 44                 <NA>                <NA>                <NA> #> 45  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 46  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 47  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 48  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 49  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 50  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 51  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 52  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 53  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 54                 <NA>                <NA>                <NA> #> 55  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 56  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 57  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 58  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 59  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 60  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 61  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 62  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 63  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 64                 <NA>                <NA>                <NA> #> 65  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 66  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 67  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 68  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 69  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 70  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 71  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 72  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 73  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 74                 <NA>                <NA>                <NA> #> 75  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 76  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 77  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 78  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 79  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 80  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 81  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 82  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 83  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 84                 <NA>                <NA>                <NA> #> 85  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 86  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 87  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 88  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 89  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 90  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 91  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 92  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 93  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 94                 <NA>                <NA>                <NA> #> 95  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 96  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 97  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 98  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 99  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 100 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 101 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 102 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 103 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 104                <NA>                <NA>                <NA> #> 105 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 106 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 107 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 108 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 109 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 110 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 111 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 112 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 113 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 114                <NA>                <NA>                <NA> #> 115 2020-09-08 14:09:38 2020-09-08 14:09:38 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10:43:53 2024-01-18 16:43:53 #> 131 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 132 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 133 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 134                <NA>                <NA>                <NA> #> 135 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 136 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 137 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 138 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 139 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 140 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 141 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 142 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 143 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 144 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 145 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 146 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 147                <NA>                <NA>                <NA> #> 148                <NA>                <NA>                <NA> #> 149 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 150 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 151 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 152 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 153 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 154 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 155 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 156 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 157 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 158 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 159 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 160 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 161 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 162 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 163 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 164 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 165 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 166 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 167                <NA>                <NA>                <NA> #> 168                <NA>                <NA>                <NA> #> 169 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 170 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 171 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 172 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 173 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 174 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 175 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 176 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 177 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 178 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 179 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 180 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 181 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 182 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 183 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 184 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 185 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 186 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 187                <NA>                <NA>                <NA> #> 188                <NA>                <NA>                <NA> #> 189 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 190 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 191 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 192 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 193 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 194 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 195 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 196 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 197 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 198 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 199 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 200 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 201 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 202 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 203 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 204 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 205 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 206 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 207                <NA>                <NA>                <NA> #> 208                <NA>                <NA>                <NA> #> 209 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 210 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 211 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 212 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 213 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 214 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 215 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 216 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 217 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 218 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 219 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 220 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 221 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 222 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 223 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 224                <NA>                <NA>                <NA> #> 225 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 226 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 227 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 228 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 229 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 230 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 231 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 232 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 233 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 234                <NA>                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14:09:38 2021-09-08 20:09:38 #> 250 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 251 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 252 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 253 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 254                <NA>                <NA>                <NA> #> 255 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 256 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 257 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 258 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 259 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 260 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 261 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 262 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 263 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 264                <NA>        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2020-09-08 14:09:38 2021-09-08 20:09:38 #> 280 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 281 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 282 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 283 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 284                <NA>                <NA>                <NA> #> 285 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 286 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 287 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 288 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 289 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 290 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 291 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 292 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 293 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 294                <NA>                <NA>                <NA> #> 295 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 296 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 297 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 298 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 299 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 300 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 301 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 302 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 303 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 304                <NA>                <NA>                <NA> #> 305 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 306 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 307 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 308 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 309 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 310 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 311 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 312 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 313 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 314                <NA>                <NA>                <NA> #> 315 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 316 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 317 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 318 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 319 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 320 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 321 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 322 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 323 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 324        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2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 340 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 341 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 342 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 343 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 344                <NA>                <NA>                <NA> #> 345 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 346 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 347 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 348 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 349 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 350 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 351 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 352 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 353 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 354                <NA>                <NA>                <NA> #> 355 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 356 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 357 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 358 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 359 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 360 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 361 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 362 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 363 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 364 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 365 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 366 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 367                <NA>                <NA>                <NA> #> 368                <NA>                <NA>                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11:56:02 #> 384 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 385 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 386 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 387                <NA>                <NA>                <NA> #> 388                <NA>                <NA>                <NA> #> 389 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 390 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 391 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 392 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 393 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 394 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 395 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 396 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 397 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 398 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 399 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 400 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 401 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 402 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 403 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 404 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 405 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 406 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 407                <NA>                <NA>                <NA> #> 408                <NA>                <NA>                <NA> #> 409 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 410 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 411 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 412 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 413 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 414 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 415 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 416 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 417 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 418 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 419 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 420 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 421 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 422 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 423 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 424 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 425 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 426 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 427                <NA>                <NA>                <NA> #> 428                <NA>                <NA>                <NA> #> 429 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 430 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 431 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 432 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 433 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 434 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 435 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 436 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 437 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 438 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 439 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 440 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 441 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 442 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 443 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 444                <NA>                <NA>                <NA> #> 445 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 446 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 447 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 448 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 449 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 450 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 451 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 452 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 453 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 454                <NA>                <NA>                <NA> #> 455 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 456 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 457 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 458 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 459 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 460 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 461 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 462 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 463 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 464                <NA>                <NA>                <NA> #> 465 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 466 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 467 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 468 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 469 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 470 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 471 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 472 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 473 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 474                <NA>                <NA>                <NA> #> 475 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 476 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 477 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 478 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 479 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 480 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 481 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 482 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 483 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 484                <NA>                <NA>                <NA> #> 485 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 486 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 487 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 488 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 489 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 490 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 491 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 492 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 493 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 494                <NA>                <NA>                <NA> #> 495 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 496 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 497 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 498 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 499 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 500 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 501 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 502 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 503 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 504                <NA>                <NA>                <NA> #> 505 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 506 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 507 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 508 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 509 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 510 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 511 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 512 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 513 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 514                <NA>                <NA>                <NA> #> 515 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 516 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 517 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 518 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 519 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 520 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 521 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 522 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 523 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 524                <NA>                <NA>                <NA> #> 525 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 526 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 527 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 528 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 529 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 530 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 531 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 532 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 533 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 534                <NA>                <NA>                <NA> #> 535 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 536 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 537 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 538 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 539 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 540 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 541 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 542 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 543 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 544                <NA>                <NA>                <NA> #> 545 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 546 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 547 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 548 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 549 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 550 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 551 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 552 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 553 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 554                <NA>                <NA>                <NA> #> 555 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 556 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 557 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 558 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 559 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 560 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 561 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 562 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 563 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 564                <NA>                <NA>                <NA> #> 565 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 566 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 567 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 568 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 569 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 570 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 571 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 572 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 573 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 574                <NA>                <NA>                <NA> #> 575 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 576 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 577 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 578 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 579 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 580 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 581 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 582 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 583 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 584 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 585 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 586 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 587                <NA>                <NA>                <NA> #> 588                <NA>                <NA>                <NA> #> 589 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 590 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 591 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 592 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 593 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 594 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 595 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 596 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 597 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 598 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 599 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 600 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 601 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 602 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 603 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 604 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 605 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 606 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 607                <NA>                <NA>                <NA> #> 608                <NA>                <NA>                <NA> #> 609 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 610 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 611 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 612 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 613 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 614 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 615 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 616 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 617 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 618 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 619 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 620 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 621 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 622 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 623 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 624 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 625 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 626 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 627                <NA>                <NA>                <NA> #> 628                <NA>                <NA>                <NA> #> 629 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 630 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 631 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 632 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 633 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 634 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 635 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 636 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 637 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 638 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 639 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 640 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 641 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 642 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 643 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 644 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 645 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 646 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 647                <NA>                <NA>                <NA> #> 648                <NA>                <NA>                <NA> #> 649 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 650 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 651 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 652 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 653 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 654 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 655 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 656 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 657 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 658 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 659 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 660 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #>                AP01SDTM            AP01EDTM            AP02SDTM #> 1   2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 2   2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 3   2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 4   2020-02-26 18:15:59                <NA>                <NA> #> 5   2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 6   2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 7   2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 8   2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 9   2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 10  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 11  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 12  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 13  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 14  2020-02-26 18:15:59                <NA>                <NA> #> 15  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 16  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 17  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 18  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 19  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 20  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 21  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 22  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 23  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 24  2020-02-26 18:15:59                <NA>                <NA> #> 25  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 26  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 27  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 28  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 29  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 30  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 31  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 32  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 33  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 34  2020-02-26 18:15:59                <NA>                <NA> #> 35  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 36  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 37  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 38  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 39  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 40  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 41  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 42  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 43  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 44  2020-02-26 18:15:59                <NA>                <NA> #> 45  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 46  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 47  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 48  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 49  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 50  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 51  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 52  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 53  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 54  2020-02-26 18:15:59                <NA>                <NA> #> 55  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 56  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 57  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 58  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 59  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 60  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 61  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 62  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 63  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 64  2020-02-26 18:15:59                <NA>                <NA> #> 65  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 66  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 67  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 68  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 69  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 70  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 71  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 72  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 73  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 74  2020-02-26 18:15:59                <NA>                <NA> #> 75  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 76  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 77  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 78  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 79  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 80  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 81  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 82  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 83  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 84  2020-02-26 18:15:59                <NA>                <NA> #> 85  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 86  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 87  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 88  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 89  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 90  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 91  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 92  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 93  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 94  2020-02-26 18:15:59                <NA>                <NA> #> 95  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 96  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 97  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 98  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 99  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 100 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 101 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 102 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 103 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 104 2020-02-26 18:15:59                <NA>                <NA> #> 105 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 106 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 107 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 108 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 109 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 110 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 111 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 112 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 113 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 114 2020-02-26 18:15:59                <NA>                <NA> #> 115 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 116 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 117 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 118 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 119 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 120 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 121 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 122 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 123 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 124 2020-02-26 18:15:59                <NA>                <NA> #> 125 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 126 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 127 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 128 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 129 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 130 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 131 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 132 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 133 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 134 2020-02-26 18:15:59                <NA>                <NA> #> 135 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 136 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 137 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 138 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 139 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 140 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 141 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 142 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 143 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 144 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 145 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 146 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 147 2020-02-26 18:15:59                <NA>                <NA> #> 148 2020-02-26 18:15:59                <NA>                <NA> #> 149 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 150 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 151 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 152 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 153 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 154 2020-10-26 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2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 170 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 171 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 172 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 173 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 174 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 175 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 176 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 177 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 178 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 179 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 180 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 181 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 182 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 183 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 184 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 185 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 186 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 187 2020-02-26 18:15:59                <NA>                <NA> #> 188 2020-02-26 18:15:59                <NA>                <NA> #> 189 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 190 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 191 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 192 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 193 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 194 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 195 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 196 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 197 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 198 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 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2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 274 2020-02-26 18:15:59                <NA>                <NA> #> 275 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 276 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 277 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 278 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 279 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 280 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 281 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 282 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 283 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 284 2020-02-26 18:15:59                <NA>                <NA> #> 285 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 286 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 287 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 288 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 289 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 290 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 291 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 292 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 293 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 294 2020-02-26 18:15:59                <NA>                <NA> #> 295 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 296 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 297 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 298 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 299 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 300 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 301 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 302 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 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2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 378 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 379 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 380 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 381 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 382 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 383 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 384 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 385 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 386 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 387 2020-02-26 18:15:59                <NA>                <NA> #> 388 2020-02-26 18:15:59                <NA>                <NA> #> 389 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 390 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 391 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 392 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 393 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 394 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 395 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 396 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 397 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 398 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 399 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 400 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 401 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 402 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 403 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 404 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 405 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 406 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 407 2020-02-26 18:15:59                <NA>                <NA> #> 408 2020-02-26 18:15:59                <NA>                <NA> #> 409 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 410 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 411 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 412 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 413 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 414 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 415 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 416 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 417 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 418 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 419 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 420 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 421 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 422 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 423 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 424 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 425 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 426 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 427 2020-02-26 18:15:59                <NA>                <NA> #> 428 2020-02-26 18:15:59                <NA>                <NA> #> 429 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 430 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 431 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 432 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 433 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 434 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 435 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 436 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 437 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 438 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 439 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 440 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 441 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 442 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 443 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 444 2020-02-26 18:15:59                <NA>                <NA> #> 445 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 446 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 447 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 448 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 449 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 450 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 451 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 452 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 453 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 454 2020-02-26 18:15:59                <NA>                <NA> #> 455 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 456 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 457 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 458 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 459 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 460 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 461 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 462 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 463 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 464 2020-02-26 18:15:59                <NA>                <NA> #> 465 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 466 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 467 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 468 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 469 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 470 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 471 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 472 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 473 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 474 2020-02-26 18:15:59                <NA>                <NA> #> 475 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 476 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 477 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 478 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 479 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 480 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 481 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 482 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 483 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 484 2020-02-26 18:15:59                <NA>                <NA> #> 485 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 486 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 487 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 488 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 489 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 490 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 491 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 492 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 493 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 494 2020-02-26 18:15:59                <NA>                <NA> #> 495 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 496 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 497 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 498 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 499 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 500 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 501 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 502 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 503 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 504 2020-02-26 18:15:59                <NA>                <NA> #> 505 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 506 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 507 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 508 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 509 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 510 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 511 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 512 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 513 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 514 2020-02-26 18:15:59                <NA>                <NA> #> 515 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 516 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 517 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 518 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 519 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 520 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 521 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 522 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 523 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 524 2020-02-26 18:15:59                <NA>                <NA> #> 525 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 526 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 527 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 528 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 529 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 530 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 531 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 532 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 533 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 534 2020-02-26 18:15:59                <NA>                <NA> #> 535 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 536 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 537 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 538 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 539 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 540 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 541 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 542 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 543 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 544 2020-02-26 18:15:59                <NA>                <NA> #> 545 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 546 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 547 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 548 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 549 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 550 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 551 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 552 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 553 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 554 2020-02-26 18:15:59                <NA>                <NA> #> 555 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 556 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 557 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 558 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 559 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 560 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 561 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 562 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 563 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 564 2020-02-26 18:15:59                <NA>                <NA> #> 565 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 566 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 567 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 568 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 569 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 570 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 571 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 572 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 573 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 574 2020-02-26 18:15:59                <NA>                <NA> #> 575 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 576 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 577 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 578 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 579 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 580 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 581 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 582 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 583 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 584 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 585 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 586 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 587 2020-02-26 18:15:59                <NA>                <NA> #> 588 2020-02-26 18:15:59                <NA>                <NA> #> 589 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 590 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 591 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 592 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 593 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 594 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 595 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 596 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 597 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 598 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 599 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 600 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 601 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 602 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 603 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 604 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 605 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 606 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 607 2020-02-26 18:15:59                <NA>                <NA> #> 608 2020-02-26 18:15:59                <NA>                <NA> #> 609 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 610 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 611 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 612 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 613 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 614 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 615 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 616 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 617 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 618 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 619 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 620 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 621 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 622 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 623 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 624 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 625 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 626 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 627 2020-02-26 18:15:59                <NA>                <NA> #> 628 2020-02-26 18:15:59                <NA>                <NA> #> 629 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 630 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 631 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 632 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 633 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 634 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 635 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 636 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 637 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 638 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 639 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 640 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 641 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 642 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 643 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 644 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 645 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 646 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 647 2020-02-26 18:15:59                <NA>                <NA> #> 648 2020-02-26 18:15:59                <NA>                <NA> #> 649 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 650 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 651 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 652 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 653 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 654 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 655 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 656 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 657 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 658 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 659 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 660 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #>                AP02EDTM       EOSSTT       EOTSTT      EOSDT EOSDY DCSREAS #> 1   2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 2   2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 3   2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 4                  <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 5   2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 6   2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 7   2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 8   2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 9   2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 10  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 11  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 12  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 13  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 14                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 15  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 16  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 17  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 18  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 19  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 20  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 21  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 22  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 23  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 24                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 25  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 26  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 27  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 28  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 29  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 30  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 31  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 32  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 33  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 34                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 35  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 36  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 37  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 38  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 39  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 40  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 41  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 42  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 43  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 44                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 45  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 46  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 47  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 48  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 49  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 50  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 51  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 52  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 53  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 54                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 55  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 56  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 57  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 58  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 59  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 60  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 61  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 62  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 63  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 64                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 65  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 66  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 67  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 68  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 69  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 70  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 71  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 72  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 73  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 74                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 75  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 76  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 77  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 78  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 79  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 80  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 81  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 82  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 83  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 84                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 85  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 86  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 87  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 88  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 89  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 90  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 91  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 92  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 93  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 94                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 95  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 96  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 97  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 98  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 99  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 100 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 101 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 102 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 103 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 104                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 105 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 106 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 107 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 108 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 109 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 110 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 111 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 112 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 113 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 114                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 115 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 116 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 117 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 118 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 119 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 120 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 121 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 122 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 123 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 124                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 125 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 126 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 127 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 128 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 129 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 130 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 131 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 132 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 133 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 134                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 135 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 136 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 137 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 138 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 139 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 140 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 141 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 142 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 143 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 144 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 145 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 146 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 147                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 148                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 149 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 150 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 151 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 152 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 153 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 154 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 155 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 156 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 157 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 158 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 159 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 160 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 161 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 162 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 163 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 164 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 165 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 166 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 167                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 168                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 169 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 170 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 171 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 172 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 173 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 174 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 175 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 176 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 177 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 178 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 179 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 180 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 181 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 182 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 183 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 184 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 185 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 186 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 187                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 188                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 189 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 190 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 191 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 192 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 193 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 194 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 195 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 196 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 197 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 198 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 199 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 200 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 201 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 202 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 203 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 204 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 205 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 206 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 207                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 208                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 209 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 210 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 211 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 212 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 213 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 214 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 215 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 216 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 217 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 218 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 219 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 220 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 221 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 222 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 223 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 224                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 225 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 226 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 227 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 228 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 229 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 230 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 231 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 232 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 233 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 234                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 235 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 236 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 237 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 238 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 239 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 240 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 241 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 242 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 243 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 244                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 245 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 246 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 247 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 248 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 249 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 250 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 251 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 252 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 253 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 254                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 255 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 256 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 257 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 258 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 259 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 260 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 261 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 262 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 263 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 264                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 265 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 266 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 267 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 268 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 269 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 270 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 271 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 272 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 273 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 274                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 275 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 276 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 277 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 278 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 279 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 280 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 281 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 282 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 283 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 284                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 285 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 286 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 287 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 288 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 289 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 290 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 291 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 292 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 293 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 294                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 295 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 296 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 297 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 298 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 299 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 300 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 301 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 302 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 303 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 304                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 305 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 306 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 307 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 308 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 309 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 310 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 311 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 312 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 313 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 314                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 315 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 316 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 317 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 318 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 319 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 320 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 321 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 322 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 323 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 324                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 325 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 326 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 327 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 328 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 329 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 330 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 331 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 332 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 333 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 334                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 335 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 336 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 337 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 338 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 339 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 340 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 341 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 342 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 343 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 344                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 345 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 346 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 347 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 348 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 349 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 350 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 351 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 352 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 353 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 354                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 355 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 356 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 357 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 358 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 359 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 360 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 361 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 362 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 363 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 364 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 365 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 366 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 367                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 368                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 369 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 370 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 371 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 372 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 373 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 374 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 375 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 376 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 377 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 378 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 379 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 380 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 381 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 382 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 383 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 384 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 385 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 386 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 387                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 388                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 389 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 390 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 391 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 392 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 393 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 394 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 395 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 396 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 397 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 398 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 399 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 400 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 401 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 402 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 403 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 404 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 405 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 406 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 407                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 408                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 409 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 410 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 411 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 412 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 413 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 414 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 415 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 416 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 417 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 418 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 419 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 420 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 421 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 422 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 423 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 424 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 425 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 426 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 427                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 428                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 429 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 430 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 431 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 432 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 433 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 434 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 435 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 436 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 437 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 438 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 439 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 440 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 441 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 442 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 443 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 444                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 445 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 446 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 447 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 448 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 449 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 450 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 451 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 452 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 453 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 454                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 455 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 456 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 457 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 458 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 459 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 460 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 461 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 462 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 463 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 464                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 465 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 466 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 467 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 468 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 469 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 470 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 471 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 472 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 473 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 474                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 475 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 476 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 477 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 478 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 479 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 480 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 481 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 482 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 483 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 484                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 485 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 486 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 487 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 488 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 489 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 490 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 491 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 492 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 493 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 494                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 495 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 496 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 497 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 498 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 499 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 500 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 501 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 502 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 503 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 504                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 505 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 506 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 507 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 508 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 509 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 510 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 511 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 512 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 513 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 514                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 515 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 516 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 517 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 518 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 519 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 520 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 521 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 522 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 523 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 524                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 525 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 526 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 527 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 528 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 529 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 530 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 531 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 532 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 533 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 534                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 535 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 536 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 537 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 538 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 539 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 540 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 541 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 542 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 543 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 544                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 545 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 546 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 547 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 548 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 549 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 550 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 551 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 552 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 553 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 554                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 555 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 556 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 557 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 558 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 559 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 560 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 561 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 562 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 563 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 564                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 565 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 566 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 567 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 568 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 569 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 570 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 571 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 572 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 573 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 574                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 575 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 576 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 577 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 578 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 579 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 580 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 581 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 582 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 583 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 584 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 585 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 586 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 587                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 588                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 589 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 590 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 591 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 592 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 593 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 594 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 595 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 596 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 597 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 598 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 599 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 600 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 601 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 602 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 603 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 604 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 605 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 606 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 607                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 608                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 609 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 610 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 611 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 612 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 613 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 614 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 615 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 616 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 617 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 618 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 619 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 620 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 621 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 622 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 623 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 624 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 625 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 626 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 627                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 628                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 629 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 630 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 631 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 632 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 633 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 634 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 635 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 636 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 637 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 638 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 639 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 640 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 641 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 642 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 643 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 644 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 645 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 646 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 647                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 648                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 649 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 650 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 651 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 652 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 653 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 654 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 655 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 656 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 657 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 658 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 659 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 660 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #>          DTHDT             DTHCAUS              DTHCAT LDDTHELD LDDTHGR1 #> 1         <NA>                <NA>                <NA>       NA     <NA> #> 2         <NA>                <NA>                <NA>       NA     <NA> #> 3   2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 4         <NA>                <NA>                <NA>       NA     <NA> #> 5   2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 6         <NA>                <NA>                <NA>       NA     <NA> #> 7         <NA>                <NA>                <NA>       NA     <NA> #> 8         <NA>                <NA>                <NA>       NA     <NA> #> 9   2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 10        <NA>                <NA>                <NA>       NA     <NA> #> 11        <NA>                <NA>                <NA>       NA     <NA> #> 12        <NA>                <NA>                <NA>       NA     <NA> #> 13  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 14        <NA>                <NA>                <NA>       NA     <NA> #> 15  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 16        <NA>                <NA>                <NA>       NA     <NA> #> 17        <NA>                <NA>                <NA>       NA     <NA> #> 18        <NA>                <NA>                <NA>       NA     <NA> #> 19  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 20        <NA>                <NA>                <NA>       NA     <NA> #> 21        <NA>                <NA>                <NA>       NA     <NA> #> 22        <NA>                <NA>                <NA>       NA     <NA> #> 23  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 24        <NA>                <NA>                <NA>       NA     <NA> #> 25  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 26        <NA>                <NA>                <NA>       NA     <NA> #> 27        <NA>                <NA>                <NA>       NA     <NA> #> 28        <NA>                <NA>                <NA>       NA     <NA> #> 29  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 30        <NA>                <NA>                <NA>       NA     <NA> #> 31        <NA>                <NA>                <NA>       NA     <NA> #> 32        <NA>                <NA>                <NA>       NA     <NA> #> 33  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 34        <NA>                <NA>                <NA>       NA     <NA> #> 35  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 36        <NA>                <NA>                <NA>       NA     <NA> #> 37        <NA>                <NA>                <NA>       NA     <NA> #> 38        <NA>                <NA>                <NA>       NA     <NA> #> 39  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 40        <NA>                <NA>                <NA>       NA     <NA> #> 41        <NA>                <NA>                <NA>       NA     <NA> #> 42        <NA>                <NA>                <NA>       NA     <NA> #> 43  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 44        <NA>                <NA>                <NA>       NA     <NA> #> 45  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 46        <NA>                <NA>                <NA>       NA     <NA> #> 47        <NA>                <NA>                <NA>       NA     <NA> #> 48        <NA>                <NA>                <NA>       NA     <NA> #> 49  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 50        <NA>                <NA>                <NA>       NA     <NA> #> 51        <NA>                <NA>                <NA>       NA     <NA> #> 52        <NA>                <NA>                <NA>       NA     <NA> #> 53  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 54        <NA>                <NA>                <NA>       NA     <NA> #> 55  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 56        <NA>                <NA>                <NA>       NA     <NA> #> 57        <NA>                <NA>                <NA>       NA     <NA> #> 58        <NA>                <NA>                <NA>       NA     <NA> #> 59  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 60        <NA>                <NA>                <NA>       NA     <NA> #> 61        <NA>                <NA>                <NA>       NA     <NA> #> 62        <NA>                <NA>                <NA>       NA     <NA> #> 63  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 64        <NA>                <NA>                <NA>       NA     <NA> #> 65  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 66        <NA>                <NA>                <NA>       NA     <NA> #> 67        <NA>                <NA>                <NA>       NA     <NA> #> 68        <NA>                <NA>                <NA>       NA     <NA> #> 69  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 70        <NA>                <NA>                <NA>       NA     <NA> #> 71        <NA>                <NA>                <NA>       NA     <NA> #> 72        <NA>                <NA>                <NA>       NA     <NA> #> 73  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 74        <NA>                <NA>                <NA>       NA     <NA> #> 75  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 76        <NA>                <NA>                <NA>       NA     <NA> #> 77        <NA>                <NA>                <NA>       NA     <NA> #> 78        <NA>                <NA>                <NA>       NA     <NA> #> 79  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 80        <NA>                <NA>                <NA>       NA     <NA> #> 81        <NA>                <NA>                <NA>       NA     <NA> #> 82        <NA>                <NA>                <NA>       NA     <NA> #> 83  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 84        <NA>                <NA>                <NA>       NA     <NA> #> 85  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 86        <NA>                <NA>                <NA>       NA     <NA> #> 87        <NA>                <NA>                <NA>       NA     <NA> #> 88        <NA>                <NA>                <NA>       NA     <NA> #> 89  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 90        <NA>                <NA>                <NA>       NA     <NA> #> 91        <NA>                <NA>                <NA>       NA     <NA> #> 92        <NA>                <NA>                <NA>       NA     <NA> #> 93  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 94        <NA>                <NA>                <NA>       NA     <NA> #> 95  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 96        <NA>                <NA>                <NA>       NA     <NA> #> 97        <NA>                <NA>                <NA>       NA     <NA> #> 98        <NA>                <NA>                <NA>       NA     <NA> #> 99  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 100       <NA>                <NA>                <NA>       NA     <NA> #> 101       <NA>                <NA>                <NA>       NA     <NA> #> 102       <NA>                <NA>                <NA>       NA     <NA> #> 103 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 104       <NA>                <NA>                <NA>       NA     <NA> #> 105 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 106       <NA>                <NA>                <NA>       NA     <NA> #> 107       <NA>                <NA>                <NA>       NA     <NA> #> 108       <NA>                <NA>                <NA>       NA     <NA> #> 109 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 110       <NA>                <NA>                <NA>       NA     <NA> #> 111       <NA>                <NA>                <NA>       NA     <NA> #> 112       <NA>                <NA>                <NA>       NA     <NA> #> 113 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 114       <NA>                <NA>                <NA>       NA     <NA> #> 115 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 116       <NA>                <NA>                <NA>       NA     <NA> #> 117       <NA>                <NA>                <NA>       NA     <NA> #> 118       <NA>                <NA>                <NA>       NA     <NA> #> 119 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 120       <NA>                <NA>                <NA>       NA     <NA> #> 121       <NA>                <NA>                <NA>       NA     <NA> #> 122       <NA>                <NA>                <NA>       NA     <NA> #> 123 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 124       <NA>                <NA>                <NA>       NA     <NA> #> 125 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 126       <NA>                <NA>                <NA>       NA     <NA> #> 127       <NA>                <NA>                <NA>       NA     <NA> #> 128       <NA>                <NA>                <NA>       NA     <NA> #> 129 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 130       <NA>                <NA>                <NA>       NA     <NA> #> 131       <NA>                <NA>                <NA>       NA     <NA> #> 132       <NA>                <NA>                <NA>       NA     <NA> #> 133 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 134       <NA>                <NA>                <NA>       NA     <NA> #> 135 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 136       <NA>                <NA>                <NA>       NA     <NA> #> 137       <NA>                <NA>                <NA>       NA     <NA> #> 138       <NA>                <NA>                <NA>       NA     <NA> #> 139 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 140       <NA>                <NA>                <NA>       NA     <NA> #> 141       <NA>                <NA>                <NA>       NA     <NA> #> 142       <NA>                <NA>                <NA>       NA     <NA> #> 143       <NA>                <NA>                <NA>       NA     <NA> #> 144       <NA>                <NA>                <NA>       NA     <NA> #> 145 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 146 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 147       <NA>                <NA>                <NA>       NA     <NA> #> 148       <NA>                <NA>                <NA>       NA     <NA> #> 149 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 150 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 151       <NA>                <NA>                <NA>       NA     <NA> #> 152       <NA>                <NA>                <NA>       NA     <NA> #> 153       <NA>                <NA>                <NA>       NA     <NA> #> 154       <NA>                <NA>                <NA>       NA     <NA> #> 155       <NA>                <NA>                <NA>       NA     <NA> #> 156       <NA>                <NA>                <NA>       NA     <NA> #> 157 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 158 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 159       <NA>                <NA>                <NA>       NA     <NA> #> 160       <NA>                <NA>                <NA>       NA     <NA> #> 161       <NA>                <NA>                <NA>       NA     <NA> #> 162       <NA>                <NA>                <NA>       NA     <NA> #> 163       <NA>                <NA>                <NA>       NA     <NA> #> 164       <NA>                <NA>                <NA>       NA     <NA> #> 165 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 166 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 167       <NA>                <NA>                <NA>       NA     <NA> #> 168       <NA>                <NA>                <NA>       NA     <NA> #> 169 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 170 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 171       <NA>                <NA>                <NA>       NA     <NA> #> 172       <NA>                <NA>                <NA>       NA     <NA> #> 173       <NA>                <NA>                <NA>       NA     <NA> #> 174       <NA>                <NA>                <NA>       NA     <NA> #> 175       <NA>                <NA>                <NA>       NA     <NA> #> 176       <NA>                <NA>                <NA>       NA     <NA> #> 177 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 178 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 179       <NA>                <NA>                <NA>       NA     <NA> #> 180       <NA>                <NA>                <NA>       NA     <NA> #> 181       <NA>                <NA>                <NA>       NA     <NA> #> 182       <NA>                <NA>                <NA>       NA     <NA> #> 183       <NA>                <NA>                <NA>       NA     <NA> #> 184       <NA>                <NA>                <NA>       NA     <NA> #> 185 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 186 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 187       <NA>                <NA>                <NA>       NA     <NA> #> 188       <NA>                <NA>                <NA>       NA     <NA> #> 189 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 190 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 191       <NA>                <NA>                <NA>       NA     <NA> #> 192       <NA>                <NA>                <NA>       NA     <NA> #> 193       <NA>                <NA>                <NA>       NA     <NA> #> 194       <NA>                <NA>                <NA>       NA     <NA> #> 195       <NA>                <NA>                <NA>       NA     <NA> #> 196       <NA>                <NA>                <NA>       NA     <NA> #> 197 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 198 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 199       <NA>                <NA>                <NA>       NA     <NA> #> 200       <NA>                <NA>                <NA>       NA     <NA> #> 201       <NA>                <NA>                <NA>       NA     <NA> #> 202       <NA>                <NA>                <NA>       NA     <NA> #> 203       <NA>                <NA>                <NA>       NA     <NA> #> 204       <NA>                <NA>                <NA>       NA     <NA> #> 205 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 206 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 207       <NA>                <NA>                <NA>       NA     <NA> #> 208       <NA>                <NA>                <NA>       NA     <NA> #> 209 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 210 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 211       <NA>                <NA>                <NA>       NA     <NA> #> 212       <NA>                <NA>                <NA>       NA     <NA> #> 213       <NA>                <NA>                <NA>       NA     <NA> #> 214       <NA>                <NA>                <NA>       NA     <NA> #> 215       <NA>                <NA>                <NA>       NA     <NA> #> 216       <NA>                <NA>                <NA>       NA     <NA> #> 217 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 218 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 219       <NA>                <NA>                <NA>       NA     <NA> #> 220       <NA>                <NA>                <NA>       NA     <NA> #> 221       <NA>                <NA>                <NA>       NA     <NA> #> 222       <NA>                <NA>                <NA>       NA     <NA> #> 223 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 224       <NA>                <NA>                <NA>       NA     <NA> #> 225 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 226       <NA>                <NA>                <NA>       NA     <NA> #> 227       <NA>                <NA>                <NA>       NA     <NA> #> 228       <NA>                <NA>                <NA>       NA     <NA> #> 229 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 230       <NA>                <NA>                <NA>       NA     <NA> #> 231       <NA>                <NA>                <NA>       NA     <NA> #> 232       <NA>                <NA>                <NA>       NA     <NA> #> 233 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 234       <NA>                <NA>                <NA>       NA     <NA> #> 235 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 236       <NA>                <NA>                <NA>       NA     <NA> #> 237       <NA>                <NA>                <NA>       NA     <NA> #> 238       <NA>                <NA>                <NA>       NA     <NA> #> 239 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 240       <NA>                <NA>                <NA>       NA     <NA> #> 241       <NA>                <NA>                <NA>       NA     <NA> #> 242       <NA>                <NA>                <NA>       NA     <NA> #> 243 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 244       <NA>                <NA>                <NA>       NA     <NA> #> 245 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 246       <NA>                <NA>                <NA>       NA     <NA> #> 247       <NA>                <NA>                <NA>       NA     <NA> #> 248       <NA>                <NA>                <NA>       NA     <NA> #> 249 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 250       <NA>                <NA>                <NA>       NA     <NA> #> 251       <NA>                <NA>                <NA>       NA     <NA> #> 252       <NA>                <NA>                <NA>       NA     <NA> #> 253 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 254       <NA>                <NA>                <NA>       NA     <NA> #> 255 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 256       <NA>                <NA>                <NA>       NA     <NA> #> 257       <NA>                <NA>                <NA>       NA     <NA> #> 258       <NA>                <NA>                <NA>       NA     <NA> #> 259 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 260       <NA>                <NA>                <NA>       NA     <NA> #> 261       <NA>                <NA>                <NA>       NA     <NA> #> 262       <NA>                <NA>                <NA>       NA     <NA> #> 263 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 264       <NA>                <NA>                <NA>       NA     <NA> #> 265 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 266       <NA>                <NA>                <NA>       NA     <NA> #> 267       <NA>                <NA>                <NA>       NA     <NA> #> 268       <NA>                <NA>                <NA>       NA     <NA> #> 269 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 270       <NA>                <NA>                <NA>       NA     <NA> #> 271       <NA>                <NA>                <NA>       NA     <NA> #> 272       <NA>                <NA>                <NA>       NA     <NA> #> 273 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 274       <NA>                <NA>                <NA>       NA     <NA> #> 275 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 276       <NA>                <NA>                <NA>       NA     <NA> #> 277       <NA>                <NA>                <NA>       NA     <NA> #> 278       <NA>                <NA>                <NA>       NA     <NA> #> 279 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 280       <NA>                <NA>                <NA>       NA     <NA> #> 281       <NA>                <NA>                <NA>       NA     <NA> #> 282       <NA>                <NA>                <NA>       NA     <NA> #> 283 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 284       <NA>                <NA>                <NA>       NA     <NA> #> 285 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 286       <NA>                <NA>                <NA>       NA     <NA> #> 287       <NA>                <NA>                <NA>       NA     <NA> #> 288       <NA>                <NA>                <NA>       NA     <NA> #> 289 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 290       <NA>                <NA>                <NA>       NA     <NA> #> 291       <NA>                <NA>                <NA>       NA     <NA> #> 292       <NA>                <NA>                <NA>       NA     <NA> #> 293 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 294       <NA>                <NA>                <NA>       NA     <NA> #> 295 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 296       <NA>                <NA>                <NA>       NA     <NA> #> 297       <NA>                <NA>                <NA>       NA     <NA> #> 298       <NA>                <NA>                <NA>       NA     <NA> #> 299 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 300       <NA>                <NA>                <NA>       NA     <NA> #> 301       <NA>                <NA>                <NA>       NA     <NA> #> 302       <NA>                <NA>                <NA>       NA     <NA> #> 303 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 304       <NA>                <NA>                <NA>       NA     <NA> #> 305 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 306       <NA>                <NA>                <NA>       NA     <NA> #> 307       <NA>                <NA>                <NA>       NA     <NA> #> 308       <NA>                <NA>                <NA>       NA     <NA> #> 309 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 310       <NA>                <NA>                <NA>       NA     <NA> #> 311       <NA>                <NA>                <NA>       NA     <NA> #> 312       <NA>                <NA>                <NA>       NA     <NA> #> 313 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 314       <NA>                <NA>                <NA>       NA     <NA> #> 315 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 316       <NA>                <NA>                <NA>       NA     <NA> #> 317       <NA>                <NA>                <NA>       NA     <NA> #> 318       <NA>                <NA>                <NA>       NA     <NA> #> 319 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 320       <NA>                <NA>                <NA>       NA     <NA> #> 321       <NA>                <NA>                <NA>       NA     <NA> #> 322       <NA>                <NA>                <NA>       NA     <NA> #> 323 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 324       <NA>                <NA>                <NA>       NA     <NA> #> 325 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 326       <NA>                <NA>                <NA>       NA     <NA> #> 327       <NA>                <NA>                <NA>       NA     <NA> #> 328       <NA>                <NA>                <NA>       NA     <NA> #> 329 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 330       <NA>                <NA>                <NA>       NA     <NA> #> 331       <NA>                <NA>                <NA>       NA     <NA> #> 332       <NA>                <NA>                <NA>       NA     <NA> #> 333 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 334       <NA>                <NA>                <NA>       NA     <NA> #> 335 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 336       <NA>                <NA>                <NA>       NA     <NA> #> 337       <NA>                <NA>                <NA>       NA     <NA> #> 338       <NA>                <NA>                <NA>       NA     <NA> #> 339 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 340       <NA>                <NA>                <NA>       NA     <NA> #> 341       <NA>                <NA>                <NA>       NA     <NA> #> 342       <NA>                <NA>                <NA>       NA     <NA> #> 343 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 344       <NA>                <NA>                <NA>       NA     <NA> #> 345 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 346       <NA>                <NA>                <NA>       NA     <NA> #> 347       <NA>                <NA>                <NA>       NA     <NA> #> 348       <NA>                <NA>                <NA>       NA     <NA> #> 349 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 350       <NA>                <NA>                <NA>       NA     <NA> #> 351       <NA>                <NA>                <NA>       NA     <NA> #> 352       <NA>                <NA>                <NA>       NA     <NA> #> 353 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 354       <NA>                <NA>                <NA>       NA     <NA> #> 355 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 356       <NA>                <NA>                <NA>       NA     <NA> #> 357       <NA>                <NA>                <NA>       NA     <NA> #> 358       <NA>                <NA>                <NA>       NA     <NA> #> 359 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 360       <NA>                <NA>                <NA>       NA     <NA> #> 361       <NA>                <NA>                <NA>       NA     <NA> #> 362       <NA>                <NA>                <NA>       NA     <NA> #> 363       <NA>                <NA>                <NA>       NA     <NA> #> 364       <NA>                <NA>                <NA>       NA     <NA> #> 365 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 366 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 367       <NA>                <NA>                <NA>       NA     <NA> #> 368       <NA>                <NA>                <NA>       NA     <NA> #> 369 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 370 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 371       <NA>                <NA>                <NA>       NA     <NA> #> 372       <NA>                <NA>                <NA>       NA     <NA> #> 373       <NA>                <NA>                <NA>       NA     <NA> #> 374       <NA>                <NA>                <NA>       NA     <NA> #> 375       <NA>                <NA>                <NA>       NA     <NA> #> 376       <NA>                <NA>                <NA>       NA     <NA> #> 377 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 378 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 379       <NA>                <NA>                <NA>       NA     <NA> #> 380       <NA>                <NA>                <NA>       NA     <NA> #> 381       <NA>                <NA>                <NA>       NA     <NA> #> 382       <NA>                <NA>                <NA>       NA     <NA> #> 383       <NA>                <NA>                <NA>       NA     <NA> #> 384       <NA>                <NA>                <NA>       NA     <NA> #> 385 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 386 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 387       <NA>                <NA>                <NA>       NA     <NA> #> 388       <NA>                <NA>                <NA>       NA     <NA> #> 389 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 390 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 391       <NA>                <NA>                <NA>       NA     <NA> #> 392       <NA>                <NA>                <NA>       NA     <NA> #> 393       <NA>                <NA>                <NA>       NA     <NA> #> 394       <NA>                <NA>                <NA>       NA     <NA> #> 395       <NA>                <NA>                <NA>       NA     <NA> #> 396       <NA>                <NA>                <NA>       NA     <NA> #> 397 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 398 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 399       <NA>                <NA>                <NA>       NA     <NA> #> 400       <NA>                <NA>                <NA>       NA     <NA> #> 401       <NA>                <NA>                <NA>       NA     <NA> #> 402       <NA>                <NA>                <NA>       NA     <NA> #> 403       <NA>                <NA>                <NA>       NA     <NA> #> 404       <NA>                <NA>                <NA>       NA     <NA> #> 405 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 406 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 407       <NA>                <NA>                <NA>       NA     <NA> #> 408       <NA>                <NA>                <NA>       NA     <NA> #> 409 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 410 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 411       <NA>                <NA>                <NA>       NA     <NA> #> 412       <NA>                <NA>                <NA>       NA     <NA> #> 413       <NA>                <NA>                <NA>       NA     <NA> #> 414       <NA>                <NA>                <NA>       NA     <NA> #> 415       <NA>                <NA>                <NA>       NA     <NA> #> 416       <NA>                <NA>                <NA>       NA     <NA> #> 417 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 418 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 419       <NA>                <NA>                <NA>       NA     <NA> #> 420       <NA>                <NA>                <NA>       NA     <NA> #> 421       <NA>                <NA>                <NA>       NA     <NA> #> 422       <NA>                <NA>                <NA>       NA     <NA> #> 423       <NA>                <NA>                <NA>       NA     <NA> #> 424       <NA>                <NA>                <NA>       NA     <NA> #> 425 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 426 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 427       <NA>                <NA>                <NA>       NA     <NA> #> 428       <NA>                <NA>                <NA>       NA     <NA> #> 429 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 430 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 431       <NA>                <NA>                <NA>       NA     <NA> #> 432       <NA>                <NA>                <NA>       NA     <NA> #> 433       <NA>                <NA>                <NA>       NA     <NA> #> 434       <NA>                <NA>                <NA>       NA     <NA> #> 435       <NA>                <NA>                <NA>       NA     <NA> #> 436       <NA>                <NA>                <NA>       NA     <NA> #> 437 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 438 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 439       <NA>                <NA>                <NA>       NA     <NA> #> 440       <NA>                <NA>                <NA>       NA     <NA> #> 441       <NA>                <NA>                <NA>       NA     <NA> #> 442       <NA>                <NA>                <NA>       NA     <NA> #> 443 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 444       <NA>                <NA>                <NA>       NA     <NA> #> 445 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 446       <NA>                <NA>                <NA>       NA     <NA> #> 447       <NA>                <NA>                <NA>       NA     <NA> #> 448       <NA>                <NA>                <NA>       NA     <NA> #> 449 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 450       <NA>                <NA>                <NA>       NA     <NA> #> 451       <NA>                <NA>                <NA>       NA     <NA> #> 452       <NA>                <NA>                <NA>       NA     <NA> #> 453 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 454       <NA>                <NA>                <NA>       NA     <NA> #> 455 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 456       <NA>                <NA>                <NA>       NA     <NA> #> 457       <NA>                <NA>                <NA>       NA     <NA> #> 458       <NA>                <NA>                <NA>       NA     <NA> #> 459 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 460       <NA>                <NA>                <NA>       NA     <NA> #> 461       <NA>                <NA>                <NA>       NA     <NA> #> 462       <NA>                <NA>                <NA>       NA     <NA> #> 463 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 464       <NA>                <NA>                <NA>       NA     <NA> #> 465 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 466       <NA>                <NA>                <NA>       NA     <NA> #> 467       <NA>                <NA>                <NA>       NA     <NA> #> 468       <NA>                <NA>                <NA>       NA     <NA> #> 469 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 470       <NA>                <NA>                <NA>       NA     <NA> #> 471       <NA>                <NA>                <NA>       NA     <NA> #> 472       <NA>                <NA>                <NA>       NA     <NA> #> 473 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 474       <NA>                <NA>                <NA>       NA     <NA> #> 475 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 476       <NA>                <NA>                <NA>       NA     <NA> #> 477       <NA>                <NA>                <NA>       NA     <NA> #> 478       <NA>                <NA>                <NA>       NA     <NA> #> 479 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 480       <NA>                <NA>                <NA>       NA     <NA> #> 481       <NA>                <NA>                <NA>       NA     <NA> #> 482       <NA>                <NA>                <NA>       NA     <NA> #> 483 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 484       <NA>                <NA>                <NA>       NA     <NA> #> 485 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 486       <NA>                <NA>                <NA>       NA     <NA> #> 487       <NA>                <NA>                <NA>       NA     <NA> #> 488       <NA>                <NA>                <NA>       NA     <NA> #> 489 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 490       <NA>                <NA>                <NA>       NA     <NA> #> 491       <NA>                <NA>                <NA>       NA     <NA> #> 492       <NA>                <NA>                <NA>       NA     <NA> #> 493 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 494       <NA>                <NA>                <NA>       NA     <NA> #> 495 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 496       <NA>                <NA>                <NA>       NA     <NA> #> 497       <NA>                <NA>                <NA>       NA     <NA> #> 498       <NA>                <NA>                <NA>       NA     <NA> #> 499 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 500       <NA>                <NA>                <NA>       NA     <NA> #> 501       <NA>                <NA>                <NA>       NA     <NA> #> 502       <NA>                <NA>                <NA>       NA     <NA> #> 503 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 504       <NA>                <NA>                <NA>       NA     <NA> #> 505 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 506       <NA>                <NA>                <NA>       NA     <NA> #> 507       <NA>                <NA>                <NA>       NA     <NA> #> 508       <NA>                <NA>                <NA>       NA     <NA> #> 509 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 510       <NA>                <NA>                <NA>       NA     <NA> #> 511       <NA>                <NA>                <NA>       NA     <NA> #> 512       <NA>                <NA>                <NA>       NA     <NA> #> 513 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 514       <NA>                <NA>                <NA>       NA     <NA> #> 515 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 516       <NA>                <NA>                <NA>       NA     <NA> #> 517       <NA>                <NA>                <NA>       NA     <NA> #> 518       <NA>                <NA>                <NA>       NA     <NA> #> 519 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 520       <NA>                <NA>                <NA>       NA     <NA> #> 521       <NA>                <NA>                <NA>       NA     <NA> #> 522       <NA>                <NA>                <NA>       NA     <NA> #> 523 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 524       <NA>                <NA>                <NA>       NA     <NA> #> 525 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 526       <NA>                <NA>                <NA>       NA     <NA> #> 527       <NA>                <NA>                <NA>       NA     <NA> #> 528       <NA>                <NA>                <NA>       NA     <NA> #> 529 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 530       <NA>                <NA>                <NA>       NA     <NA> #> 531       <NA>                <NA>                <NA>       NA     <NA> #> 532       <NA>                <NA>                <NA>       NA     <NA> #> 533 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 534       <NA>                <NA>                <NA>       NA     <NA> #> 535 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 536       <NA>                <NA>                <NA>       NA     <NA> #> 537       <NA>                <NA>                <NA>       NA     <NA> #> 538       <NA>                <NA>                <NA>       NA     <NA> #> 539 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 540       <NA>                <NA>                <NA>       NA     <NA> #> 541       <NA>                <NA>                <NA>       NA     <NA> #> 542       <NA>                <NA>                <NA>       NA     <NA> #> 543 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 544       <NA>                <NA>                <NA>       NA     <NA> #> 545 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 546       <NA>                <NA>                <NA>       NA     <NA> #> 547       <NA>                <NA>                <NA>       NA     <NA> #> 548       <NA>                <NA>                <NA>       NA     <NA> #> 549 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 550       <NA>                <NA>                <NA>       NA     <NA> #> 551       <NA>                <NA>                <NA>       NA     <NA> #> 552       <NA>                <NA>                <NA>       NA     <NA> #> 553 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 554       <NA>                <NA>                <NA>       NA     <NA> #> 555 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 556       <NA>                <NA>                <NA>       NA     <NA> #> 557       <NA>                <NA>                <NA>       NA     <NA> #> 558       <NA>                <NA>                <NA>       NA     <NA> #> 559 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 560       <NA>                <NA>                <NA>       NA     <NA> #> 561       <NA>                <NA>                <NA>       NA     <NA> #> 562       <NA>                <NA>                <NA>       NA     <NA> #> 563 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 564       <NA>                <NA>                <NA>       NA     <NA> #> 565 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 566       <NA>                <NA>                <NA>       NA     <NA> #> 567       <NA>                <NA>                <NA>       NA     <NA> #> 568       <NA>                <NA>                <NA>       NA     <NA> #> 569 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 570       <NA>                <NA>                <NA>       NA     <NA> #> 571       <NA>                <NA>                <NA>       NA     <NA> #> 572       <NA>                <NA>                <NA>       NA     <NA> #> 573 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 574       <NA>                <NA>                <NA>       NA     <NA> #> 575 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 576       <NA>                <NA>                <NA>       NA     <NA> #> 577       <NA>                <NA>                <NA>       NA     <NA> #> 578       <NA>                <NA>                <NA>       NA     <NA> #> 579 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 580       <NA>                <NA>                <NA>       NA     <NA> #> 581       <NA>                <NA>                <NA>       NA     <NA> #> 582       <NA>                <NA>                <NA>       NA     <NA> #> 583       <NA>                <NA>                <NA>       NA     <NA> #> 584       <NA>                <NA>                <NA>       NA     <NA> #> 585 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 586 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 587       <NA>                <NA>                <NA>       NA     <NA> #> 588       <NA>                <NA>                <NA>       NA     <NA> #> 589 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 590 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 591       <NA>                <NA>                <NA>       NA     <NA> #> 592       <NA>                <NA>                <NA>       NA     <NA> #> 593       <NA>                <NA>                <NA>       NA     <NA> #> 594       <NA>                <NA>                <NA>       NA     <NA> #> 595       <NA>                <NA>                <NA>       NA     <NA> #> 596       <NA>                <NA>                <NA>       NA     <NA> #> 597 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 598 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 599       <NA>                <NA>                <NA>       NA     <NA> #> 600       <NA>                <NA>                <NA>       NA     <NA> #> 601       <NA>                <NA>                <NA>       NA     <NA> #> 602       <NA>                <NA>                <NA>       NA     <NA> #> 603       <NA>                <NA>                <NA>       NA     <NA> #> 604       <NA>                <NA>                <NA>       NA     <NA> #> 605 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 606 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 607       <NA>                <NA>                <NA>       NA     <NA> #> 608       <NA>                <NA>                <NA>       NA     <NA> #> 609 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 610 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 611       <NA>                <NA>                <NA>       NA     <NA> #> 612       <NA>                <NA>                <NA>       NA     <NA> #> 613       <NA>                <NA>                <NA>       NA     <NA> #> 614       <NA>                <NA>                <NA>       NA     <NA> #> 615       <NA>                <NA>                <NA>       NA     <NA> #> 616       <NA>                <NA>                <NA>       NA     <NA> #> 617 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 618 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 619       <NA>                <NA>                <NA>       NA     <NA> #> 620       <NA>                <NA>                <NA>       NA     <NA> #> 621       <NA>                <NA>                <NA>       NA     <NA> #> 622       <NA>                <NA>                <NA>       NA     <NA> #> 623       <NA>                <NA>                <NA>       NA     <NA> #> 624       <NA>                <NA>                <NA>       NA     <NA> #> 625 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 626 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 627       <NA>                <NA>                <NA>       NA     <NA> #> 628       <NA>                <NA>                <NA>       NA     <NA> #> 629 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 630 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 631       <NA>                <NA>                <NA>       NA     <NA> #> 632       <NA>                <NA>                <NA>       NA     <NA> #> 633       <NA>                <NA>                <NA>       NA     <NA> #> 634       <NA>                <NA>                <NA>       NA     <NA> #> 635       <NA>                <NA>                <NA>       NA     <NA> #> 636       <NA>                <NA>                <NA>       NA     <NA> #> 637 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 638 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 639       <NA>                <NA>                <NA>       NA     <NA> #> 640       <NA>                <NA>                <NA>       NA     <NA> #> 641       <NA>                <NA>                <NA>       NA     <NA> #> 642       <NA>                <NA>                <NA>       NA     <NA> #> 643       <NA>                <NA>                <NA>       NA     <NA> #> 644       <NA>                <NA>                <NA>       NA     <NA> #> 645 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 646 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 647       <NA>                <NA>                <NA>       NA     <NA> #> 648       <NA>                <NA>                <NA>       NA     <NA> #> 649 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 650 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 651       <NA>                <NA>                <NA>       NA     <NA> #> 652       <NA>                <NA>                <NA>       NA     <NA> #> 653       <NA>                <NA>                <NA>       NA     <NA> #> 654       <NA>                <NA>                <NA>       NA     <NA> #> 655       <NA>                <NA>                <NA>       NA     <NA> #> 656       <NA>                <NA>                <NA>       NA     <NA> #> 657 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 658 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 659       <NA>                <NA>                <NA>       NA     <NA> #> 660       <NA>                <NA>                <NA>       NA     <NA> #>       LSTALVDT DTHADY ADTHAUT             PPCAT       PPSPEC #> 1   2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 2   2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 3   2021-11-23    671     Yes     Plasma Drug X       Plasma #> 4         <NA>     NA    <NA>     Plasma Drug X       Plasma #> 5   2021-09-27    512     Yes     Plasma Drug X       Plasma #> 6   2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 7   2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 8   2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 9   2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 10  2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 11  2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 12  2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 13  2021-11-23    671     Yes Metabolite Drug X       Plasma #> 14        <NA>     NA    <NA> Metabolite Drug X       Plasma #> 15  2021-09-27    512     Yes Metabolite Drug X       Plasma #> 16  2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 17  2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 18  2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 19  2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 20  2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 21  2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 22  2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 23  2021-11-23    671     Yes     Plasma Drug X       Plasma #> 24        <NA>     NA    <NA>     Plasma Drug X       Plasma #> 25  2021-09-27    512     Yes     Plasma Drug X       Plasma #> 26  2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 27  2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 28  2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 29  2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 30  2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 31  2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 32  2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 33  2021-11-23    671     Yes Metabolite Drug X       Plasma #> 34        <NA>     NA    <NA> Metabolite Drug X       Plasma #> 35  2021-09-27    512     Yes Metabolite Drug X       Plasma #> 36  2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 37  2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 38  2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 39  2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 40  2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 41  2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 42  2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 43  2021-11-23    671     Yes     Plasma Drug X       Plasma #> 44        <NA>     NA    <NA>     Plasma Drug X       Plasma #> 45  2021-09-27    512     Yes     Plasma Drug X       Plasma #> 46  2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 47  2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 48  2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 49  2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 50  2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 51  2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 52  2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 53  2021-11-23    671     Yes Metabolite Drug X       Plasma #> 54        <NA>     NA    <NA> Metabolite Drug X       Plasma #> 55  2021-09-27    512     Yes Metabolite Drug X       Plasma #> 56  2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 57  2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 58  2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 59  2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 60  2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 61  2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 62  2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 63  2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 64        <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 65  2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 66  2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 67  2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 68  2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 69  2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 70  2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 71  2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 72  2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 73  2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 74        <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 75  2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 76  2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 77  2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 78  2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 79  2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 80  2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 81  2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 82  2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 83  2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 84        <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 85  2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 86  2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 87  2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 88  2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 89  2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 90  2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 91  2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 92  2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 93  2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 94        <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 95  2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 96  2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 97  2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 98  2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 99  2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 100 2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 101 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 102 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 103 2021-11-23    671     Yes     Plasma Drug X        Urine #> 104       <NA>     NA    <NA>     Plasma Drug X        Urine #> 105 2021-09-27    512     Yes     Plasma Drug X        Urine #> 106 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 107 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 108 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 109 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 110 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 111 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 112 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 113 2021-11-23    671     Yes Metabolite Drug X        Urine #> 114       <NA>     NA    <NA> Metabolite Drug X        Urine #> 115 2021-09-27    512     Yes Metabolite Drug X        Urine #> 116 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 117 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 118 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 119 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 120 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 121 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 122 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 123 2021-11-23    671     Yes     Plasma Drug X        Urine #> 124       <NA>     NA    <NA>     Plasma Drug X        Urine #> 125 2021-09-27    512     Yes     Plasma Drug X        Urine #> 126 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 127 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 128 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 129 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 130 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 131 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 132 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 133 2021-11-23    671     Yes Metabolite Drug X        Urine #> 134       <NA>     NA    <NA> Metabolite Drug X        Urine #> 135 2021-09-27    512     Yes Metabolite Drug X        Urine #> 136 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 137 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 138 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 139 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 140 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 141 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 142 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 143 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 144 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 145 2021-11-23    671     Yes     Plasma Drug X        Urine #> 146 2021-11-23    671     Yes     Plasma Drug X        Urine #> 147       <NA>     NA    <NA>     Plasma Drug X        Urine #> 148       <NA>     NA    <NA>     Plasma Drug X        Urine #> 149 2021-09-27    512     Yes     Plasma Drug X        Urine #> 150 2021-09-27    512     Yes     Plasma Drug X        Urine #> 151 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 152 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 153 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 154 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 155 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 156 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 157 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 158 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 159 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 160 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 161 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 162 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 163 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 164 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 165 2021-11-23    671     Yes Metabolite Drug X        Urine #> 166 2021-11-23    671     Yes Metabolite Drug X        Urine #> 167       <NA>     NA    <NA> Metabolite Drug X        Urine #> 168       <NA>     NA    <NA> Metabolite Drug X        Urine #> 169 2021-09-27    512     Yes Metabolite Drug X        Urine #> 170 2021-09-27    512     Yes Metabolite Drug X        Urine #> 171 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 172 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 173 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 174 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 175 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 176 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 177 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 178 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 179 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 180 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 181 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 182 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 183 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 184 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 185 2021-11-23    671     Yes     Plasma Drug X        Urine #> 186 2021-11-23    671     Yes     Plasma Drug X        Urine #> 187       <NA>     NA    <NA>     Plasma Drug X        Urine #> 188       <NA>     NA    <NA>     Plasma Drug X        Urine #> 189 2021-09-27    512     Yes     Plasma Drug X        Urine #> 190 2021-09-27    512     Yes     Plasma Drug X        Urine #> 191 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 192 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 193 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 194 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 195 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 196 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 197 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 198 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 199 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 200 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 201 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 202 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 203 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 204 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 205 2021-11-23    671     Yes Metabolite Drug X        Urine #> 206 2021-11-23    671     Yes Metabolite Drug X        Urine #> 207       <NA>     NA    <NA> Metabolite Drug X        Urine #> 208       <NA>     NA    <NA> Metabolite Drug X        Urine #> 209 2021-09-27    512     Yes Metabolite Drug X        Urine #> 210 2021-09-27    512     Yes Metabolite Drug X        Urine #> 211 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 212 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 213 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 214 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 215 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 216 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 217 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 218 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 219 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 220 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 221 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 222 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 223 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 224       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 225 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 226 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 227 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 228 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 229 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 230 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 231 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 232 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 233 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 234       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 235 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 236 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 237 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 238 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 239 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 240 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 241 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 242 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 243 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 244       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 245 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 246 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 247 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 248 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 249 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 250 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 251 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 252 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 253 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 254       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 255 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 256 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 257 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 258 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 259 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 260 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 261 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 262 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 263 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 264       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 265 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 266 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 267 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 268 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 269 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 270 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 271 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 272 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 273 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 274       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 275 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 276 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 277 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 278 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 279 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 280 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 281 2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 282 2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 283 2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 284       <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 285 2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 286 2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 287 2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 288 2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 289 2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 290 2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 291 2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 292 2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 293 2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 294       <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 295 2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 296 2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 297 2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 298 2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 299 2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 300 2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 301 2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 302 2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 303 2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 304       <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 305 2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 306 2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 307 2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 308 2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 309 2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 310 2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 311 2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 312 2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 313 2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 314       <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 315 2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 316 2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 317 2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 318 2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 319 2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 320 2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 321 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 322 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 323 2021-11-23    671     Yes     Plasma Drug X        Urine #> 324       <NA>     NA    <NA>     Plasma Drug X        Urine #> 325 2021-09-27    512     Yes     Plasma Drug X        Urine #> 326 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 327 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 328 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 329 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 330 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 331 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 332 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 333 2021-11-23    671     Yes Metabolite Drug X        Urine #> 334       <NA>     NA    <NA> Metabolite Drug X        Urine #> 335 2021-09-27    512     Yes Metabolite Drug X        Urine #> 336 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 337 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 338 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 339 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 340 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 341 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 342 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 343 2021-11-23    671     Yes     Plasma Drug X        Urine #> 344       <NA>     NA    <NA>     Plasma Drug X        Urine #> 345 2021-09-27    512     Yes     Plasma Drug X        Urine #> 346 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 347 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 348 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 349 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 350 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 351 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 352 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 353 2021-11-23    671     Yes Metabolite Drug X        Urine #> 354       <NA>     NA    <NA> Metabolite Drug X        Urine #> 355 2021-09-27    512     Yes Metabolite Drug X        Urine #> 356 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 357 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 358 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 359 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 360 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 361 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 362 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 363 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 364 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 365 2021-11-23    671     Yes     Plasma Drug X        Urine #> 366 2021-11-23    671     Yes     Plasma Drug X        Urine #> 367       <NA>     NA    <NA>     Plasma Drug X        Urine #> 368       <NA>     NA    <NA>     Plasma Drug X        Urine #> 369 2021-09-27    512     Yes     Plasma Drug X        Urine #> 370 2021-09-27    512     Yes     Plasma Drug X        Urine #> 371 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 372 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 373 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 374 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 375 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 376 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 377 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 378 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 379 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 380 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 381 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 382 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 383 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 384 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 385 2021-11-23    671     Yes Metabolite Drug X        Urine #> 386 2021-11-23    671     Yes Metabolite Drug X        Urine #> 387       <NA>     NA    <NA> Metabolite Drug X        Urine #> 388       <NA>     NA    <NA> Metabolite Drug X        Urine #> 389 2021-09-27    512     Yes Metabolite Drug X        Urine #> 390 2021-09-27    512     Yes Metabolite Drug X        Urine #> 391 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 392 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 393 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 394 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 395 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 396 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 397 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 398 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 399 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 400 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 401 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 402 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 403 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 404 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 405 2021-11-23    671     Yes     Plasma Drug X        Urine #> 406 2021-11-23    671     Yes     Plasma Drug X        Urine #> 407       <NA>     NA    <NA>     Plasma Drug X        Urine #> 408       <NA>     NA    <NA>     Plasma Drug X        Urine #> 409 2021-09-27    512     Yes     Plasma Drug X        Urine #> 410 2021-09-27    512     Yes     Plasma Drug X        Urine #> 411 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 412 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 413 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 414 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 415 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 416 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 417 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 418 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 419 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 420 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 421 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 422 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 423 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 424 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 425 2021-11-23    671     Yes Metabolite Drug X        Urine #> 426 2021-11-23    671     Yes Metabolite Drug X        Urine #> 427       <NA>     NA    <NA> Metabolite Drug X        Urine #> 428       <NA>     NA    <NA> Metabolite Drug X        Urine #> 429 2021-09-27    512     Yes Metabolite Drug X        Urine #> 430 2021-09-27    512     Yes Metabolite Drug X        Urine #> 431 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 432 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 433 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 434 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 435 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 436 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 437 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 438 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 439 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 440 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 441 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 442 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 443 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 444       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 445 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 446 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 447 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 448 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 449 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 450 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 451 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 452 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 453 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 454       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 455 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 456 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 457 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 458 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 459 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 460 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 461 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 462 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 463 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 464       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 465 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 466 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 467 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 468 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 469 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 470 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 471 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 472 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 473 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 474       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 475 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 476 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 477 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 478 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 479 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 480 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 481 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 482 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 483 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 484       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 485 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 486 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 487 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 488 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 489 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 490 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 491 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 492 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 493 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 494       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 495 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 496 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 497 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 498 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 499 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 500 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 501 2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 502 2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 503 2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 504       <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 505 2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 506 2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 507 2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 508 2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 509 2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 510 2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 511 2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 512 2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 513 2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 514       <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 515 2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 516 2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 517 2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 518 2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 519 2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 520 2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 521 2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 522 2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 523 2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 524       <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 525 2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 526 2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 527 2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 528 2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 529 2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 530 2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 531 2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 532 2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 533 2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 534       <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 535 2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 536 2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 537 2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 538 2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 539 2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 540 2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 541 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 542 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 543 2021-11-23    671     Yes     Plasma Drug X        Urine #> 544       <NA>     NA    <NA>     Plasma Drug X        Urine #> 545 2021-09-27    512     Yes     Plasma Drug X        Urine #> 546 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 547 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 548 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 549 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 550 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 551 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 552 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 553 2021-11-23    671     Yes Metabolite Drug X        Urine #> 554       <NA>     NA    <NA> Metabolite Drug X        Urine #> 555 2021-09-27    512     Yes Metabolite Drug X        Urine #> 556 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 557 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 558 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 559 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 560 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 561 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 562 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 563 2021-11-23    671     Yes     Plasma Drug X        Urine #> 564       <NA>     NA    <NA>     Plasma Drug X        Urine #> 565 2021-09-27    512     Yes     Plasma Drug X        Urine #> 566 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 567 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 568 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 569 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 570 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 571 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 572 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 573 2021-11-23    671     Yes Metabolite Drug X        Urine #> 574       <NA>     NA    <NA> Metabolite Drug X        Urine #> 575 2021-09-27    512     Yes Metabolite Drug X        Urine #> 576 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 577 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 578 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 579 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 580 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 581 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 582 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 583 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 584 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 585 2021-11-23    671     Yes     Plasma Drug X        Urine #> 586 2021-11-23    671     Yes     Plasma Drug X        Urine #> 587       <NA>     NA    <NA>     Plasma Drug X        Urine #> 588       <NA>     NA    <NA>     Plasma Drug X        Urine #> 589 2021-09-27    512     Yes     Plasma Drug X        Urine #> 590 2021-09-27    512     Yes     Plasma Drug X        Urine #> 591 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 592 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 593 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 594 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 595 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 596 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 597 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 598 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 599 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 600 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 601 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 602 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 603 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 604 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 605 2021-11-23    671     Yes Metabolite Drug X        Urine #> 606 2021-11-23    671     Yes Metabolite Drug X        Urine #> 607       <NA>     NA    <NA> Metabolite Drug X        Urine #> 608       <NA>     NA    <NA> Metabolite Drug X        Urine #> 609 2021-09-27    512     Yes Metabolite Drug X        Urine #> 610 2021-09-27    512     Yes Metabolite Drug X        Urine #> 611 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 612 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 613 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 614 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 615 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 616 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 617 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 618 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 619 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 620 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 621 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 622 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 623 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 624 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 625 2021-11-23    671     Yes     Plasma Drug X        Urine #> 626 2021-11-23    671     Yes     Plasma Drug X        Urine #> 627       <NA>     NA    <NA>     Plasma Drug X        Urine #> 628       <NA>     NA    <NA>     Plasma Drug X        Urine #> 629 2021-09-27    512     Yes     Plasma Drug X        Urine #> 630 2021-09-27    512     Yes     Plasma Drug X        Urine #> 631 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 632 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 633 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 634 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 635 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 636 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 637 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 638 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 639 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 640 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 641 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 642 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 643 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 644 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 645 2021-11-23    671     Yes Metabolite Drug X        Urine #> 646 2021-11-23    671     Yes Metabolite Drug X        Urine #> 647       <NA>     NA    <NA> Metabolite Drug X        Urine #> 648       <NA>     NA    <NA> Metabolite Drug X        Urine #> 649 2021-09-27    512     Yes Metabolite Drug X        Urine #> 650 2021-09-27    512     Yes Metabolite Drug X        Urine #> 651 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 652 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 653 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 654 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 655 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 656 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 657 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 658 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 659 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 660 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #>                        PARAM  PARAMCD PPSTINT PPENINT        AVISIT AVISITN #> 1           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 2           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 3           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 4           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 5           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 6           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 7           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 8           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 9           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 10          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 11          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 12          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 13          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 14          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 15          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 16          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 17          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 18          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 19          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 20          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 21                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 22                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 23                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 24                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 25                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 26                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 27                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 28                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 29                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 30                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 31                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 32                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 33                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 34                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 35                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 36                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 37                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 38                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 39                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 40                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 41              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 42              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 43              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 44              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 45              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 46              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 47              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 48              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 49              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 50              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 51              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 52              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 53              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 54              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 55              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 56              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 57              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 58              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 59              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 60              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 61  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 62  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 63  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 64  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 65  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 66  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 67  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 68  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 69  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 70  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 71  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 72  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 73  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 74  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 75  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 76  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 77  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 78  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 79  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 80  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 81             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 82             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 83             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 84             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 85             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 86             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 87             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 88             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 89             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 90             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 91             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 92             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 93             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 94             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 95             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 96             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 97             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 98             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 99             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 100            Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 101                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 102                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 103                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 104                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 105                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 106                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 107                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 108                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 109                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 110                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 111                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 112                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 113                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 114                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 115                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 116                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 117                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 118                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 119                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 120                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 121    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 122    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 123    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 124    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 125    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 126    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 127    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 128    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 129    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 130    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 131    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 132    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 133    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 134    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 135    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 136    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 137    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 138    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 139    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 140    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 141    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 142    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 143    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 144    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 145    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 146    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 147    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 148    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 149    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 150    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 151    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 152    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 153    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 154    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 155    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 156    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 157    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 158    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 159    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 160    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 161    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 162    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 163    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 164    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 165    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 166    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 167    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 168    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 169    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 170    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 171    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 172    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 173    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 174    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 175    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 176    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 177    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 178    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 179    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 180    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 181    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 182    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 183    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 184    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 185    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 186    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 187    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 188    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 189    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 190    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 191    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 192    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 193    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 194    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 195    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 196    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 197    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 198    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 199    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 200    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 201    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 202    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 203    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 204    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 205    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 206    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 207    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 208    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 209    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 210    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 211    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 212    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 213    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 214    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 215    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 216    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 217    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 218    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 219    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 220    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 221         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 222         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 223         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 224         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 225         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 226         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 227         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 228         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 229         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 230         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 231         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 232         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 233         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 234         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 235         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 236         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 237         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 238         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 239         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 240         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 241                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 242                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 243                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 244                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 245                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 246                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 247                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 248                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 249                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 250                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 251                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 252                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 253                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 254                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 255                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 256                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 257                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 258                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 259                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 260                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 261             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 262             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 263             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 264             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 265             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 266             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 267             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 268             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 269             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 270             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 271             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 272             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 273             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 274             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 275             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 276             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 277             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 278             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 279             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 280             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 281 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 282 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 283 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 284 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 285 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 286 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 287 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 288 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 289 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 290 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 291 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 292 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 293 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 294 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 295 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 296 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 297 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 298 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 299 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 300 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 301            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 302            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 303            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 304            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 305            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 306            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 307            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 308            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 309            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 310            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 311            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 312            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 313            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 314            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 315            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 316            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 317            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 318            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 319            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 320            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 321                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 322                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 323                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 324                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 325                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 326                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 327                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 328                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 329                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 330                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 331                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 332                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 333                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 334                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 335                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 336                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 337                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 338                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 339                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 340                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 341    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 342    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 343    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 344    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 345    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 346    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 347    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 348    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 349    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 350    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 351    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 352    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 353    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 354    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 355    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 356    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 357    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 358    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 359    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 360    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 361    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 362    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 363    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 364    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 365    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 366    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 367    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 368    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 369    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 370    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 371    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 372    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 373    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 374    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 375    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 376    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 377    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 378    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 379    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 380    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 381    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 382    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 383    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 384    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 385    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 386    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 387    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 388    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 389    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 390    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 391    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 392    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 393    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 394    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 395    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 396    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 397    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 398    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 399    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 400    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 401    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 402    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 403    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 404    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 405    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 406    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 407    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 408    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 409    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 410    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 411    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 412    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 413    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 414    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 415    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 416    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 417    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 418    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 419    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 420    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 421    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 422    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 423    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 424    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 425    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 426    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 427    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 428    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 429    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 430    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 431    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 432    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 433    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 434    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 435    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 436    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 437    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 438    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 439    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 440    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 441         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 442         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 443         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 444         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 445         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 446         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 447         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 448         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 449         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 450         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 451         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 452         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 453         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 454         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 455         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 456         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 457         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 458         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 459         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 460         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 461                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 462                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 463                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 464                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 465                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 466                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 467                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 468                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 469                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 470                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 471                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 472                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 473                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 474                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 475                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 476                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 477                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 478                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 479                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 480                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 481             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 482             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 483             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 484             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 485             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 486             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 487             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 488             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 489             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 490             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 491             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 492             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 493             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 494             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 495             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 496             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 497             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 498             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 499             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 500             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 501 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 502 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 503 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 504 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 505 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 506 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 507 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 508 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 509 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 510 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 511 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 512 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 513 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 514 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 515 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 516 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 517 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 518 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 519 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 520 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 521            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 522            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 523            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 524            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 525            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 526            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 527            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 528            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 529            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 530            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 531            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 532            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 533            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 534            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 535            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 536            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 537            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 538            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 539            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 540            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 541                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 542                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 543                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 544                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 545                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 546                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 547                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 548                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 549                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 550                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 551                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 552                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 553                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 554                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 555                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 556                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 557                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 558                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 559                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 560                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 561    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 562    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 563    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 564    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 565    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 566    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 567    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 568    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 569    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 570    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 571    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 572    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 573    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 574    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 575    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 576    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 577    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 578    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 579    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 580    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 581    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 582    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 583    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 584    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 585    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 586    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 587    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 588    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 589    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 590    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 591    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 592    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 593    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 594    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 595    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 596    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 597    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 598    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 599    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 600    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 601    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 602    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 603    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 604    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 605    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 606    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 607    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 608    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 609    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 610    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 611    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 612    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 613    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 614    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 615    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 616    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 617    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 618    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 619    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 620    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 621    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 622    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 623    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 624    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 625    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 626    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 627    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 628    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 629    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 630    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 631    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 632    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 633    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 634    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 635    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 636    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 637    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 638    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 639    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 640    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 641    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 642    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 643    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 644    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 645    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 646    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 647    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 648    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 649    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 650    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 651    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 652    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 653    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 654    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 655    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 656    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 657    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 658    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 659    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 660    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #>             AVAL               AVALC     AVALU REGIMEN PKARMCD #> 1   2.073940e+02     207.39396738587 day*ug/mL     BID  Drug A #> 2   2.635138e+02    263.513813248353 day*ug/mL     BID  Drug A #> 3   1.547850e+02    154.784973030149 day*ug/mL     BID  Drug A #> 4   1.967899e+02     196.78992973796 day*ug/mL     BID  Drug A #> 5   2.052968e+02    205.296811375244 day*ug/mL     BID  Drug A #> 6   2.283182e+02    228.318189170869 day*ug/mL     BID  Drug A #> 7   2.793790e+02    279.378957466117 day*ug/mL     BID  Drug A #> 8   1.944485e+02    194.448519515213 day*ug/mL     BID  Drug A #> 9   1.075572e+02    107.557236615793 day*ug/mL     BID  Drug A #> 10  2.172906e+02    217.290606181585 day*ug/mL     BID  Drug A #> 11  1.520030e+02    152.002967214245 day*ug/mL     BID  Drug A #> 12  2.635855e+02    263.585528011603 day*ug/mL     BID  Drug A #> 13  2.781861e+02     278.18606568893 day*ug/mL     BID  Drug A #> 14  2.001975e+02    200.197511073126 day*ug/mL     BID  Drug A #> 15  1.019317e+02    101.931744486155 day*ug/mL     BID  Drug A #> 16  2.190895e+02    219.089492104545 day*ug/mL     BID  Drug A #> 17  2.316881e+02    231.688130811986 day*ug/mL     BID  Drug A #> 18  2.115855e+02    211.585468407094 day*ug/mL     BID  Drug A #> 19  1.761736e+02    176.173580052329 day*ug/mL     BID  Drug A #> 20  1.901395e+02    190.139497306659 day*ug/mL     BID  Drug A #> 21  1.824538e+01    18.2453809489972     ug/mL     BID  Drug A #> 22  2.494977e+01    24.9497696391864     ug/mL     BID  Drug A #> 23  4.142128e+01    41.4212848040859     ug/mL     BID  Drug A #> 24  3.373496e+01    33.7349635807244     ug/mL     BID  Drug A #> 25  4.194552e+01    41.9455226134819     ug/mL     BID  Drug A #> 26  2.816710e+01    28.1670976509513     ug/mL     BID  Drug A #> 27  2.889503e+01    28.8950312906924     ug/mL     BID  Drug A #> 28  2.280739e+01    22.8073934081555     ug/mL     BID  Drug A #> 29  1.820473e+01     18.204730551316     ug/mL     BID  Drug A #> 30  4.002971e+01     40.029712603956     ug/mL     BID  Drug A #> 31  4.218746e+01    42.1874551125315     ug/mL     BID  Drug A #> 32  2.578113e+01    25.7811340020367     ug/mL     BID  Drug A #> 33  3.094899e+01    30.9489885753607     ug/mL     BID  Drug A #> 34  3.303741e+01    33.0374087848843     ug/mL     BID  Drug A #> 35  2.508003e+01    25.0800293663028     ug/mL     BID  Drug A #> 36  1.800692e+01    18.0069180302153     ug/mL     BID  Drug A #> 37  3.050508e+01    30.5050794259335     ug/mL     BID  Drug A #> 38  2.462708e+01    24.6270803360201     ug/mL     BID  Drug A #> 39  2.455734e+01    24.5573377464391     ug/mL     BID  Drug A #> 40  2.153977e+01    21.5397699560178     ug/mL     BID  Drug A #> 41  3.304235e+00    3.30423509662098 ml/day/kg     BID  Drug A #> 42  4.466628e+00     4.4666278574528 ml/day/kg     BID  Drug A #> 43  3.627731e+00    3.62773054885692 ml/day/kg     BID  Drug A #> 44  2.792080e+00    2.79208022119536 ml/day/kg     BID  Drug A #> 45  6.822123e+00    6.82212251875356 ml/day/kg     BID  Drug A #> 46  4.346607e+00    4.34660658918122 ml/day/kg     BID  Drug A #> 47  4.613050e+00    4.61305039635507 ml/day/kg     BID  Drug A #> 48  5.386695e+00    5.38669497464607 ml/day/kg     BID  Drug A #> 49  3.746895e+00     3.7468951006308 ml/day/kg     BID  Drug A #> 50  4.398840e+00    4.39883989484765 ml/day/kg     BID  Drug A #> 51  5.260598e+00    5.26059783509216 ml/day/kg     BID  Drug A #> 52  4.685728e+00    4.68572801982808 ml/day/kg     BID  Drug A #> 53  4.250370e+00    4.25036990451692 ml/day/kg     BID  Drug A #> 54  4.137802e+00    4.13780167031419 ml/day/kg     BID  Drug A #> 55  7.048040e+00    7.04804030304848 ml/day/kg     BID  Drug A #> 56  5.939920e+00    5.93992007761338 ml/day/kg     BID  Drug A #> 57  4.578626e+00    4.57862642759465 ml/day/kg     BID  Drug A #> 58  4.649166e+00    4.64916557685214 ml/day/kg     BID  Drug A #> 59  5.455980e+00    5.45598009048122 ml/day/kg     BID  Drug A #> 60  4.216683e+00    4.21668334299138 ml/day/kg     BID  Drug A #> 61  1.027772e+01     10.277716838207        hr     BID  Drug A #> 62  1.342126e+01    13.4212631764731        hr     BID  Drug A #> 63  9.138718e+00    9.13871805055402        hr     BID  Drug A #> 64  7.911541e+00    7.91154083814588        hr     BID  Drug A #> 65  1.107516e+01    11.0751590491611        hr     BID  Drug A #> 66  8.660828e+00    8.66082802569954        hr     BID  Drug A #> 67  6.552020e+00    6.55202033101487        hr     BID  Drug B #> 68  6.515140e+00    6.51513983931819        hr     BID  Drug B #> 69  1.240099e+01    12.4009893976439        hr     BID  Drug B #> 70  7.092380e+00    7.09238030637342        hr     BID  Drug B #> 71  1.081945e+01    10.8194479651006        hr     BID  Drug B #> 72  8.386037e+00    8.38603672917152        hr     BID  Drug B #> 73  1.017110e+01     10.171100881709        hr     BID  Drug B #> 74  1.149249e+01    11.4924863372795        hr     BID  Drug B #> 75  8.692654e+00    8.69265387733783        hr     BID  Drug B #> 76  1.131421e+01    11.3142119666039        hr     BID  Drug B #> 77  8.386541e+00    8.38654128313466        hr     BID  Drug B #> 78  8.005241e+00    8.00524056544753        hr     BID  Drug B #> 79  7.313779e+00    7.31377890163956        hr     BID  Drug B #> 80  1.133505e+01    11.3350453742705        hr     BID  Drug B #> 81  2.617157e+00    2.61715738144196        hr     BID  Drug B #> 82  2.839372e+00    2.83937225758589        hr     BID  Drug B #> 83  3.215928e+00    3.21592773893143        hr     BID  Drug B #> 84  2.212280e+00    2.21228034363557        hr     BID  Drug B #> 85  2.469618e+00    2.46961823419878        hr     BID  Drug B #> 86  4.246257e+00    4.24625687675079        hr     BID  Drug B #> 87  2.256896e+00    2.25689642080303        hr     BID  Drug B #> 88  3.594260e+00    3.59425985379842        hr     BID  Drug B #> 89  2.608690e+00    2.60868969097793        hr     BID  Drug B #> 90  2.025444e+00    2.02544449592404        hr     BID  Drug B #> 91  2.242842e+00     2.2428424128162        hr     BID  Drug B #> 92  3.235311e+00    3.23531077553789        hr     BID  Drug B #> 93  2.321137e+00    2.32113704300777        hr     BID  Drug B #> 94  3.326487e+00     3.3264866904049        hr     BID  Drug B #> 95  3.705965e+00    3.70596536084074        hr     BID  Drug B #> 96  3.015137e+00    3.01513714154342        hr     BID  Drug B #> 97  2.607534e+00    2.60753414398955        hr     BID  Drug B #> 98  3.302185e+00    3.30218519449654        hr     BID  Drug B #> 99  3.420341e+00    3.42034067724912        hr     BID  Drug B #> 100 2.552149e+00    2.55214859122596        hr     BID  Drug B #> 101 3.980448e-02  0.0398044780278161      L/hr     BID  Drug B #> 102 7.870897e-02  0.0787089742357224      L/hr     BID  Drug B #> 103 5.218710e-02  0.0521871001140455      L/hr     BID  Drug B #> 104 4.033446e-02  0.0403344567029888      L/hr     BID  Drug B #> 105 5.383838e-02  0.0538383818162237      L/hr     BID  Drug B #> 106 4.878104e-02  0.0487810392868168      L/hr     BID  Drug B #> 107 5.599464e-02  0.0559946362113066      L/hr     BID  Drug B #> 108 5.231274e-02  0.0523127407756568      L/hr     BID  Drug B #> 109 5.451464e-02  0.0545146372704554      L/hr     BID  Drug B #> 110 6.675649e-02  0.0667564857038408      L/hr     BID  Drug B #> 111 5.715519e-02  0.0571551913504198      L/hr     BID  Drug B #> 112 4.206805e-02  0.0420680486447439      L/hr     BID  Drug B #> 113 6.923852e-02  0.0692385164716385      L/hr     BID  Drug B #> 114 5.070440e-02  0.0507043998631405      L/hr     BID  Drug B #> 115 5.469280e-02  0.0546928003631325      L/hr     BID  Drug B #> 116 4.910148e-02  0.0491014790592931      L/hr     BID  Drug B #> 117 4.626290e-02  0.0462629012200858      L/hr     BID  Drug B #> 118 7.258252e-02   0.072582519032112      L/hr     BID  Drug B #> 119 3.946543e-02  0.0394654320061997      L/hr     BID  Drug B #> 120 4.412160e-02  0.0441216020905139      L/hr     BID  Drug B #> 121 7.888418e-03 0.00788841825453315   L/hr/mg     BID  Drug B #> 122 6.172825e-03 0.00617282535280265   L/hr/mg     BID  Drug B #> 123 5.549643e-03 0.00554964322049714   L/hr/mg     BID  Drug B #> 124 5.779105e-03 0.00577910451000461   L/hr/mg     BID  Drug B #> 125 4.434869e-03 0.00443486874919505   L/hr/mg     BID  Drug B #> 126 5.102954e-03 0.00510295428579596   L/hr/mg     BID  Drug B #> 127 4.525569e-03 0.00452556882627679   L/hr/mg     BID  Drug B #> 128 4.541996e-03  0.0045419957930031   L/hr/mg     BID  Drug B #> 129 5.483657e-03 0.00548365664924895   L/hr/mg     BID  Drug B #> 130 4.828681e-03 0.00482868053104018   L/hr/mg     BID  Drug B #> 131 4.901642e-03  0.0049016415649018   L/hr/mg     BID  Drug B #> 132 4.678005e-03 0.00467800452020614   L/hr/mg     BID  Drug B #> 133 3.085265e-03 0.00308526549888187   L/hr/mg     BID  Drug C #> 134 4.352959e-03 0.00435295860684754   L/hr/mg     BID  Drug C #> 135 3.600563e-03  0.0036005631531315   L/hr/mg     BID  Drug C #> 136 6.931174e-03 0.00693117426931381   L/hr/mg     BID  Drug C #> 137 5.527439e-03  0.0055274387465549   L/hr/mg     BID  Drug C #> 138 4.963309e-03  0.0049633087270729   L/hr/mg     BID  Drug C #> 139 6.605200e-03 0.00660519993687242   L/hr/mg     BID  Drug C #> 140 5.067243e-03   0.005067243215326   L/hr/mg     BID  Drug C #> 141 1.764119e+00    1.76411874235571        mg     BID  Drug C #> 142 1.764119e+00    1.76411874235571        mg     BID  Drug C #> 143 1.960790e+00    1.96079030879955        mg     BID  Drug C #> 144 1.960790e+00    1.96079030879955        mg     BID  Drug C #> 145 1.365138e+00    1.36513847496565        mg     BID  Drug C #> 146 1.365138e+00    1.36513847496565        mg     BID  Drug C #> 147 1.982955e+00    1.98295467761374        mg     BID  Drug C #> 148 1.982955e+00    1.98295467761374        mg     BID  Drug C #> 149 2.083583e+00    2.08358294600425        mg     BID  Drug C #> 150 2.083583e+00    2.08358294600425        mg     BID  Drug C #> 151 1.927497e+00    1.92749653160781        mg     BID  Drug C #> 152 1.927497e+00    1.92749653160781        mg     BID  Drug C #> 153 1.968959e+00    1.96895924576341        mg     BID  Drug C #> 154 1.968959e+00    1.96895924576341        mg     BID  Drug C #> 155 1.532264e+00     1.5322639317603        mg     BID  Drug C #> 156 1.532264e+00     1.5322639317603        mg     BID  Drug C #> 157 1.450731e+00    1.45073083832002        mg     BID  Drug C #> 158 1.450731e+00    1.45073083832002        mg     BID  Drug C #> 159 1.347570e+00    1.34756962839076        mg     BID  Drug C #> 160 1.347570e+00    1.34756962839076        mg     BID  Drug C #> 161 1.462785e+00    1.46278501309857        mg     BID  Drug C #> 162 1.462785e+00    1.46278501309857        mg     BID  Drug C #> 163 1.837438e+00     1.8374384887417        mg     BID  Drug C #> 164 1.837438e+00     1.8374384887417        mg     BID  Drug C #> 165 9.725583e-01   0.972558343089336        mg     BID  Drug C #> 166 9.725583e-01   0.972558343089336        mg     BID  Drug C #> 167 1.789930e+00    1.78993031703251        mg     BID  Drug C #> 168 1.789930e+00    1.78993031703251        mg     BID  Drug C #> 169 1.808155e+00    1.80815547676696        mg     BID  Drug C #> 170 1.808155e+00    1.80815547676696        mg     BID  Drug C #> 171 1.622145e+00    1.62214484895993        mg     BID  Drug C #> 172 1.622145e+00    1.62214484895993        mg     BID  Drug C #> 173 1.948957e+00    1.94895711536126        mg     BID  Drug C #> 174 1.948957e+00    1.94895711536126        mg     BID  Drug C #> 175 1.348598e+00    1.34859760533249        mg     BID  Drug C #> 176 1.348598e+00    1.34859760533249        mg     BID  Drug C #> 177 1.709727e+00    1.70972671844114        mg     BID  Drug C #> 178 1.709727e+00    1.70972671844114        mg     BID  Drug C #> 179 1.498655e+00    1.49865531043811        mg     BID  Drug C #> 180 1.498655e+00    1.49865531043811        mg     BID  Drug C #> 181 1.906066e+01    19.0606593982511         %     BID  Drug C #> 182 1.906066e+01    19.0606593982511         %     BID  Drug C #> 183 1.853470e+01    18.5347043375246         %     BID  Drug C #> 184 1.853470e+01    18.5347043375246         %     BID  Drug C #> 185 1.679105e+01    16.7910526358469         %     BID  Drug C #> 186 1.679105e+01    16.7910526358469         %     BID  Drug C #> 187 1.657381e+01    16.5738137242544         %     BID  Drug C #> 188 1.657381e+01    16.5738137242544         %     BID  Drug C #> 189 1.730874e+01    17.3087385487854         %     BID  Drug C #> 190 1.730874e+01    17.3087385487854         %     BID  Drug C #> 191 1.868231e+01    18.6823120820053         %     BID  Drug C #> 192 1.868231e+01    18.6823120820053         %     BID  Drug C #> 193 2.035374e+01    20.3537434913621         %     BID  Drug C #> 194 2.035374e+01    20.3537434913621         %     BID  Drug C #> 195 1.467398e+01    14.6739785352415         %     BID  Drug C #> 196 1.467398e+01    14.6739785352415         %     BID  Drug C #> 197 1.468849e+01    14.6884942412513         %     BID  Drug C #> 198 1.468849e+01    14.6884942412513         %     BID  Drug C #> 199 1.705123e+01    17.0512323675702         %     BID  Drug D #> 200 1.705123e+01    17.0512323675702         %     BID  Drug D #> 201 1.686207e+01    16.8620650165532         %     BID  Drug D #> 202 1.686207e+01    16.8620650165532         %     BID  Drug D #> 203 1.161576e+01    11.6157603926478         %     BID  Drug D #> 204 1.161576e+01    11.6157603926478         %     BID  Drug D #> 205 1.637462e+01    16.3746163882503         %     BID  Drug D #> 206 1.637462e+01    16.3746163882503         %     BID  Drug D #> 207 1.790406e+01    17.9040596466762         %     BID  Drug D #> 208 1.790406e+01    17.9040596466762         %     BID  Drug D #> 209 1.486302e+01    14.8630180836626         %     BID  Drug D #> 210 1.486302e+01    14.8630180836626         %     BID  Drug D #> 211 1.465154e+01    14.6515428842478         %     BID  Drug D #> 212 1.465154e+01    14.6515428842478         %     BID  Drug D #> 213 1.824239e+01    18.2423941922289         %     BID  Drug D #> 214 1.824239e+01    18.2423941922289         %     BID  Drug D #> 215 1.684814e+01    16.8481448037605         %     BID  Drug D #> 216 1.684814e+01    16.8481448037605         %     BID  Drug D #> 217 2.003020e+01    20.0301989085571         %     BID  Drug D #> 218 2.003020e+01    20.0301989085571         %     BID  Drug D #> 219 1.603567e+01    16.0356728762873         %     BID  Drug D #> 220 1.603567e+01    16.0356728762873         %     BID  Drug D #> 221 2.569303e+02    256.930323397261 day*ug/mL     BID  Drug D #> 222 1.856497e+02    185.649713489217 day*ug/mL     BID  Drug D #> 223 1.800903e+02    180.090271118783 day*ug/mL     BID  Drug D #> 224 1.246005e+02    124.600478569302 day*ug/mL     BID  Drug D #> 225 1.544149e+02    154.414948645762 day*ug/mL     BID  Drug D #> 226 1.817308e+02    181.730839284568 day*ug/mL     BID  Drug D #> 227 1.871925e+02    187.192507862157 day*ug/mL     BID  Drug D #> 228 2.016669e+02    201.666930339071 day*ug/mL     BID  Drug D #> 229 1.735024e+02    173.502365427007 day*ug/mL     BID  Drug D #> 230 2.300816e+02    230.081567035137 day*ug/mL     BID  Drug D #> 231 1.704501e+02    170.450066986327 day*ug/mL     BID  Drug D #> 232 2.057459e+02     205.74589445307 day*ug/mL     BID  Drug D #> 233 1.713991e+02    171.399124832234 day*ug/mL     BID  Drug D #> 234 2.526594e+02    252.659426654931 day*ug/mL     BID  Drug D #> 235 1.370293e+02    137.029307606063 day*ug/mL     BID  Drug D #> 236 2.018464e+02    201.846443236622 day*ug/mL     BID  Drug D #> 237 2.565252e+02    256.525152035038 day*ug/mL     BID  Drug D #> 238 2.331677e+02    233.167720266784 day*ug/mL     BID  Drug D #> 239 2.137131e+02    213.713139182808 day*ug/mL     BID  Drug D #> 240 2.367428e+02    236.742822103937 day*ug/mL     BID  Drug D #> 241 1.366910e+01    13.6691030124032     ug/mL     BID  Drug D #> 242 2.391443e+01    23.9144291009689     ug/mL     BID  Drug D #> 243 2.502513e+01     25.025129557273     ug/mL     BID  Drug D #> 244 3.514625e+01    35.1462533862398     ug/mL     BID  Drug D #> 245 2.856894e+01    28.5689392252466     ug/mL     BID  Drug D #> 246 2.578052e+01    25.7805249196983     ug/mL     BID  Drug D #> 247 3.688800e+01    36.8879999535218     ug/mL     BID  Drug D #> 248 3.001240e+01     30.012402131878     ug/mL     BID  Drug D #> 249 2.212304e+01    22.1230432333383     ug/mL     BID  Drug D #> 250 3.174596e+01    31.7459581211885     ug/mL     BID  Drug D #> 251 2.246655e+01    22.4665530738696     ug/mL     BID  Drug D #> 252 3.847171e+01    38.4717067862155     ug/mL     BID  Drug D #> 253 3.440092e+01    34.4009222823337     ug/mL     BID  Drug D #> 254 3.769033e+01    37.6903287080125     ug/mL     BID  Drug D #> 255 3.539280e+01     35.392802882356     ug/mL     BID  Drug D #> 256 3.318667e+01    33.1866741543079     ug/mL     BID  Drug D #> 257 2.288872e+01    22.8887184150676     ug/mL     BID  Drug D #> 258 3.207598e+01    32.0759803136901     ug/mL     BID  Drug D #> 259 2.953594e+01    29.5359435444297     ug/mL     BID  Drug D #> 260 2.728145e+01     27.281450013058     ug/mL     BID  Drug D #> 261 4.717381e+00    4.71738069867348 ml/day/kg     BID  Drug D #> 262 3.429026e+00    3.42902569967221 ml/day/kg     BID  Drug D #> 263 5.296359e+00    5.29635860950479 ml/day/kg     BID  Drug D #> 264 5.247361e+00    5.24736127414808 ml/day/kg     BID  Drug D #> 265 4.863022e+00    4.86302160940736 ml/day/kg     BID  Drug E #> 266 4.285659e+00    4.28565923673174 ml/day/kg     BID  Drug E #> 267 2.979681e+00    2.97968072913846 ml/day/kg     BID  Drug E #> 268 5.506020e+00    5.50602022922493 ml/day/kg     BID  Drug E #> 269 4.730958e+00    4.73095816095179 ml/day/kg     BID  Drug E #> 270 5.204085e+00    5.20408452300841 ml/day/kg     BID  Drug E #> 271 5.116007e+00    5.11600698685415 ml/day/kg     BID  Drug E #> 272 4.743988e+00    4.74398822825356 ml/day/kg     BID  Drug E #> 273 4.325404e+00    4.32540376020656 ml/day/kg     BID  Drug E #> 274 5.942027e+00    5.94202707906856 ml/day/kg     BID  Drug E #> 275 5.493036e+00    5.49303642251188 ml/day/kg     BID  Drug E #> 276 5.443817e+00    5.44381705349733 ml/day/kg     BID  Drug E #> 277 6.301914e+00    6.30191419547311 ml/day/kg     BID  Drug E #> 278 3.640673e+00     3.6406732879911 ml/day/kg     BID  Drug E #> 279 4.200825e+00    4.20082493149421 ml/day/kg     BID  Drug E #> 280 4.486966e+00    4.48696646139325 ml/day/kg     BID  Drug E #> 281 1.027473e+01     10.274732191036        hr     BID  Drug E #> 282 8.210005e+00     8.2100054425684        hr     BID  Drug E #> 283 9.842868e+00    9.84286835655766        hr     BID  Drug E #> 284 1.319167e+01    13.1916725678912        hr     BID  Drug E #> 285 7.591947e+00    7.59194722657837        hr     BID  Drug E #> 286 6.675458e+00    6.67545767126632        hr     BID  Drug E #> 287 8.103624e+00    8.10362448824755        hr     BID  Drug E #> 288 8.097617e+00     8.0976171915404        hr     BID  Drug E #> 289 9.947930e+00    9.94793017996555        hr     BID  Drug E #> 290 1.028454e+01    10.2845373494783        hr     BID  Drug E #> 291 1.123585e+01      11.23585220499        hr     BID  Drug E #> 292 8.559155e+00    8.55915528999599        hr     BID  Drug E #> 293 8.832976e+00    8.83297611393234        hr     BID  Drug E #> 294 1.043265e+01    10.4326490077766        hr     BID  Drug E #> 295 1.248998e+01    12.4899824807859        hr     BID  Drug E #> 296 8.464196e+00    8.46419603139228        hr     BID  Drug E #> 297 7.711333e+00    7.71133348690102        hr     BID  Drug E #> 298 1.294035e+01    12.9403540993444        hr     BID  Drug E #> 299 1.088906e+01    10.8890550395933        hr     BID  Drug E #> 300 1.162194e+01    11.6219439071834        hr     BID  Drug E #> 301 3.490278e+00     3.4902781560917        hr     BID  Drug E #> 302 3.245012e+00    3.24501234776681        hr     BID  Drug E #> 303 3.085567e+00    3.08556690428139        hr     BID  Drug E #> 304 2.937817e+00    2.93781658898426        hr     BID  Drug E #> 305 3.421160e+00    3.42115958215722        hr     BID  Drug E #> 306 3.624440e+00    3.62444048355561        hr     BID  Drug E #> 307 4.052582e+00     4.0525816047198        hr     BID  Drug E #> 308 3.031328e+00    3.03132769086646        hr     BID  Drug E #> 309 2.690587e+00    2.69058690448801        hr     BID  Drug E #> 310 3.390794e+00    3.39079421116465        hr     BID  Drug E #> 311 2.961701e+00     2.9617007231057        hr     BID  Drug E #> 312 2.498373e+00    2.49837304905404        hr     BID  Drug E #> 313 4.037247e+00    4.03724670859468        hr     BID  Drug E #> 314 2.419750e+00    2.41975018693132        hr     BID  Drug E #> 315 3.339815e+00    3.33981534379736        hr     BID  Drug E #> 316 2.729627e+00    2.72962734073946        hr     BID  Drug E #> 317 2.247235e+00    2.24723508591904        hr     BID  Drug E #> 318 4.294007e+00    4.29400735324689        hr     BID  Drug E #> 319 3.472946e+00    3.47294581080228        hr     BID  Drug E #> 320 3.098849e+00    3.09884932801267        hr     BID  Drug E #> 321 4.235532e-02  0.0423553199189737      L/hr     BID  Drug E #> 322 6.461451e-02   0.064614512586786      L/hr     BID  Drug E #> 323 3.645904e-02  0.0364590361161427      L/hr     BID  Drug E #> 324 3.782145e-02  0.0378214452457843      L/hr     BID  Drug E #> 325 6.438519e-02  0.0643851940267339      L/hr     BID  Drug E #> 326 7.689005e-02   0.076890046998286      L/hr     BID  Drug E #> 327 6.101924e-02  0.0610192418258703      L/hr     BID  Drug E #> 328 4.728295e-02  0.0472829473396486      L/hr     BID  Drug E #> 329 3.865409e-02  0.0386540896293925      L/hr     BID  Drug E #> 330 6.341885e-02  0.0634188539918939      L/hr     BID  Drug E #> 331 5.633725e-02  0.0563372518922889      L/hr     BID  Drug F #> 332 4.675172e-02   0.046751724250156      L/hr     BID  Drug F #> 333 5.846145e-02  0.0584614518659475      L/hr     BID  Drug F #> 334 5.017041e-02   0.050170413878429      L/hr     BID  Drug F #> 335 4.674477e-02  0.0467447737126511      L/hr     BID  Drug F #> 336 4.114206e-02  0.0411420586100585      L/hr     BID  Drug F #> 337 4.989478e-02  0.0498947810722962      L/hr     BID  Drug F #> 338 6.433355e-02  0.0643335509332141      L/hr     BID  Drug F #> 339 3.354532e-02  0.0335453157272247      L/hr     BID  Drug F #> 340 3.930315e-02  0.0393031505937198      L/hr     BID  Drug F #> 341 4.885782e-03 0.00488578162784292   L/hr/mg     BID  Drug F #> 342 4.105379e-03 0.00410537862783403   L/hr/mg     BID  Drug F #> 343 4.345911e-03 0.00434591109494843   L/hr/mg     BID  Drug F #> 344 6.178716e-03 0.00617871628153782   L/hr/mg     BID  Drug F #> 345 5.951517e-03 0.00595151651072979   L/hr/mg     BID  Drug F #> 346 5.107910e-03 0.00510791034728672   L/hr/mg     BID  Drug F #> 347 5.826101e-03 0.00582610070238661   L/hr/mg     BID  Drug F #> 348 4.094573e-03  0.0040945732039763   L/hr/mg     BID  Drug F #> 349 4.750579e-03 0.00475057897295772   L/hr/mg     BID  Drug F #> 350 5.283153e-03 0.00528315330258214   L/hr/mg     BID  Drug F #> 351 5.761532e-03   0.005761532246986   L/hr/mg     BID  Drug F #> 352 5.118547e-03 0.00511854677520249   L/hr/mg     BID  Drug F #> 353 5.090595e-03 0.00509059475716538   L/hr/mg     BID  Drug F #> 354 6.306046e-03 0.00630604638464421   L/hr/mg     BID  Drug F #> 355 5.352020e-03 0.00535201989437071   L/hr/mg     BID  Drug F #> 356 4.203110e-03 0.00420310972500367   L/hr/mg     BID  Drug F #> 357 6.102527e-03 0.00610252683926924   L/hr/mg     BID  Drug F #> 358 3.544290e-03 0.00354429022864301   L/hr/mg     BID  Drug F #> 359 4.291607e-03 0.00429160671105357   L/hr/mg     BID  Drug F #> 360 5.859195e-03 0.00585919454297287   L/hr/mg     BID  Drug F #> 361 9.486762e-01   0.948676182861927        mg     BID  Drug F #> 362 9.486762e-01   0.948676182861927        mg     BID  Drug F #> 363 1.086980e+00    1.08698026399781        mg     BID  Drug F #> 364 1.086980e+00    1.08698026399781        mg     BID  Drug F #> 365 1.292638e+00    1.29263752739562        mg     BID  Drug F #> 366 1.292638e+00    1.29263752739562        mg     BID  Drug F #> 367 1.410770e+00    1.41077012419244        mg     BID  Drug F #> 368 1.410770e+00    1.41077012419244        mg     BID  Drug F #> 369 1.802584e+00    1.80258389627015        mg     BID  Drug F #> 370 1.802584e+00    1.80258389627015        mg     BID  Drug F #> 371 1.189952e+00    1.18995190486037        mg     BID  Drug F #> 372 1.189952e+00    1.18995190486037        mg     BID  Drug F #> 373 1.266520e+00    1.26652006352303        mg     BID  Drug F #> 374 1.266520e+00    1.26652006352303        mg     BID  Drug F #> 375 1.372339e+00    1.37233876678521        mg     BID  Drug F #> 376 1.372339e+00    1.37233876678521        mg     BID  Drug F #> 377 1.599888e+00    1.59988770840253        mg     BID  Drug F #> 378 1.599888e+00    1.59988770840253        mg     BID  Drug F #> 379 1.255193e+00    1.25519333058249        mg     BID  Drug F #> 380 1.255193e+00    1.25519333058249        mg     BID  Drug F #> 381 2.177080e+00    2.17707973330577        mg     BID  Drug F #> 382 2.177080e+00    2.17707973330577        mg     BID  Drug F #> 383 2.098934e+00    2.09893415014814        mg     BID  Drug F #> 384 2.098934e+00    2.09893415014814        mg     BID  Drug F #> 385 1.261253e+00    1.26125345974559        mg     BID  Drug F #> 386 1.261253e+00    1.26125345974559        mg     BID  Drug F #> 387 1.922597e+00    1.92259692994901        mg     BID  Drug F #> 388 1.922597e+00    1.92259692994901        mg     BID  Drug F #> 389 1.375677e+00    1.37567722642343        mg     BID  Drug F #> 390 1.375677e+00    1.37567722642343        mg     BID  Drug F #> 391 1.772309e+00     1.7723093790103        mg     BID  Drug F #> 392 1.772309e+00     1.7723093790103        mg     BID  Drug F #> 393 1.041090e+00    1.04108979246291        mg     BID  Drug F #> 394 1.041090e+00    1.04108979246291        mg     BID  Drug F #> 395 1.951526e+00    1.95152558688477        mg     BID  Drug F #> 396 1.951526e+00    1.95152558688477        mg     BID  Drug F #> 397 1.319356e+00    1.31935610922078        mg     BID  Drug G #> 398 1.319356e+00    1.31935610922078        mg     BID  Drug G #> 399 1.020992e+00    1.02099181540417        mg     BID  Drug G #> 400 1.020992e+00    1.02099181540417        mg     BID  Drug G #> 401 1.640459e+01    16.4045910334649         %     BID  Drug G #> 402 1.640459e+01    16.4045910334649         %     BID  Drug G #> 403 1.612969e+01     16.129688005731         %     BID  Drug G #> 404 1.612969e+01     16.129688005731         %     BID  Drug G #> 405 1.379335e+01    13.7933518848245         %     BID  Drug G #> 406 1.379335e+01    13.7933518848245         %     BID  Drug G #> 407 1.378946e+01    13.7894562135142         %     BID  Drug G #> 408 1.378946e+01    13.7894562135142         %     BID  Drug G #> 409 1.695709e+01    16.9570937587628         %     BID  Drug G #> 410 1.695709e+01    16.9570937587628         %     BID  Drug G #> 411 1.417418e+01    14.1741793705101         %     BID  Drug G #> 412 1.417418e+01    14.1741793705101         %     BID  Drug G #> 413 1.436478e+01     14.364779668508         %     BID  Drug G #> 414 1.436478e+01     14.364779668508         %     BID  Drug G #> 415 1.488543e+01    14.8854341509201         %     BID  Drug G #> 416 1.488543e+01    14.8854341509201         %     BID  Drug G #> 417 1.579418e+01    15.7941820609379         %     BID  Drug G #> 418 1.579418e+01    15.7941820609379         %     BID  Drug G #> 419 1.763385e+01    17.6338463895742         %     BID  Drug G #> 420 1.763385e+01    17.6338463895742         %     BID  Drug G #> 421 1.637584e+01    16.3758351256949         %     BID  Drug G #> 422 1.637584e+01    16.3758351256949         %     BID  Drug G #> 423 1.466581e+01    14.6658094327869         %     BID  Drug G #> 424 1.466581e+01    14.6658094327869         %     BID  Drug G #> 425 2.034407e+01    20.3440725941748         %     BID  Drug G #> 426 2.034407e+01    20.3440725941748         %     BID  Drug G #> 427 1.586777e+01    15.8677677759034         %     BID  Drug G #> 428 1.586777e+01    15.8677677759034         %     BID  Drug G #> 429 1.982553e+01    19.8255255436001         %     BID  Drug G #> 430 1.982553e+01    19.8255255436001         %     BID  Drug G #> 431 1.622040e+01    16.2203954624552         %     BID  Drug G #> 432 1.622040e+01    16.2203954624552         %     BID  Drug G #> 433 1.298783e+01    12.9878334657617         %     BID  Drug G #> 434 1.298783e+01    12.9878334657617         %     BID  Drug G #> 435 1.649345e+01     16.493447709445         %     BID  Drug G #> 436 1.649345e+01     16.493447709445         %     BID  Drug G #> 437 1.737979e+01     17.379791080356         %     BID  Drug G #> 438 1.737979e+01     17.379791080356         %     BID  Drug G #> 439 2.001734e+01    20.0173432011811         %     BID  Drug G #> 440 2.001734e+01    20.0173432011811         %     BID  Drug G #> 441 2.149988e+02     214.99879856695 day*ug/mL     BID  Drug G #> 442 2.585803e+02    258.580258192242 day*ug/mL     BID  Drug G #> 443 1.503107e+02    150.310677694497 day*ug/mL     BID  Drug G #> 444 1.718938e+02    171.893774989225 day*ug/mL     BID  Drug G #> 445 2.346909e+02    234.690934609323 day*ug/mL     BID  Drug G #> 446 1.962686e+02    196.268597740576 day*ug/mL     BID  Drug G #> 447 9.255009e+01    92.5500878006893 day*ug/mL     BID  Drug G #> 448 1.637703e+02    163.770301044755 day*ug/mL     BID  Drug G #> 449 2.255541e+02    225.554093973372 day*ug/mL     BID  Drug G #> 450 1.867350e+02     186.73503633016 day*ug/mL     BID  Drug G #> 451 2.693793e+02    269.379277278281 day*ug/mL     BID  Drug G #> 452 2.391069e+02    239.106894521462 day*ug/mL     BID  Drug G #> 453 2.224063e+02    222.406293443688 day*ug/mL     BID  Drug G #> 454 1.854481e+02    185.448114508666 day*ug/mL     BID  Drug G #> 455 1.822437e+02    182.243690750713 day*ug/mL     BID  Drug G #> 456 1.845306e+02    184.530586946616 day*ug/mL     BID  Drug G #> 457 2.338127e+02    233.812678582435 day*ug/mL     BID  Drug G #> 458 2.132231e+02    213.223083631698 day*ug/mL     BID  Drug G #> 459 2.041419e+02    204.141909145777 day*ug/mL     BID  Drug G #> 460 2.001205e+02    200.120528330938 day*ug/mL     BID  Drug G #> 461 3.205195e+01    32.0519504399199     ug/mL     BID  Drug G #> 462 2.776062e+01    27.7606212520254     ug/mL     BID  Drug G #> 463 2.990598e+01    29.9059789361623     ug/mL     BID  Drug H #> 464 4.562548e+01     45.625483916718     ug/mL     BID  Drug H #> 465 3.403413e+01    34.0341307187731     ug/mL     BID  Drug H #> 466 3.083729e+01    30.8372944676605     ug/mL     BID  Drug H #> 467 2.827417e+01    28.2741738511296     ug/mL     BID  Drug H #> 468 2.489571e+01    24.8957082574301     ug/mL     BID  Drug H #> 469 3.278246e+01    32.7824567239638     ug/mL     BID  Drug H #> 470 2.094198e+01    20.9419825594948     ug/mL     BID  Drug H #> 471 2.310235e+01    23.1023470660459     ug/mL     BID  Drug H #> 472 3.069840e+01    30.6983950954918     ug/mL     BID  Drug H #> 473 3.208383e+01    32.0838254471052     ug/mL     BID  Drug H #> 474 3.328160e+01     33.281597022575     ug/mL     BID  Drug H #> 475 2.689154e+01    26.8915383598325     ug/mL     BID  Drug H #> 476 3.777084e+01    37.7708435826082     ug/mL     BID  Drug H #> 477 2.941983e+01    29.4198282646838     ug/mL     BID  Drug H #> 478 3.236489e+01    32.3648858039452     ug/mL     BID  Drug H #> 479 2.765928e+01    27.6592809718307     ug/mL     BID  Drug H #> 480 4.459249e+01    44.5924937528137     ug/mL     BID  Drug H #> 481 2.725656e+00    2.72565554350297 ml/day/kg     BID  Drug H #> 482 5.334937e+00    5.33493715497149 ml/day/kg     BID  Drug H #> 483 4.786312e+00    4.78631199349361 ml/day/kg     BID  Drug H #> 484 4.968458e+00    4.96845759843166 ml/day/kg     BID  Drug H #> 485 4.303916e+00    4.30391645546196 ml/day/kg     BID  Drug H #> 486 5.968421e+00    5.96842100298099 ml/day/kg     BID  Drug H #> 487 6.476121e+00    6.47612071821176 ml/day/kg     BID  Drug H #> 488 4.532811e+00    4.53281083293232 ml/day/kg     BID  Drug H #> 489 4.435756e+00    4.43575587416563 ml/day/kg     BID  Drug H #> 490 3.678706e+00     3.6787060520376 ml/day/kg     BID  Drug H #> 491 6.147497e+00    6.14749746280844 ml/day/kg     BID  Drug H #> 492 6.212535e+00     6.2125351504717 ml/day/kg     BID  Drug H #> 493 5.158588e+00    5.15858783604358 ml/day/kg     BID  Drug H #> 494 3.237578e+00    3.23757790481116 ml/day/kg     BID  Drug H #> 495 5.260175e+00    5.26017478144207 ml/day/kg     BID  Drug H #> 496 5.162078e+00     5.1620782394036 ml/day/kg     BID  Drug H #> 497 4.812580e+00    4.81258033109917 ml/day/kg     BID  Drug H #> 498 7.183334e+00     7.1833341796057 ml/day/kg     BID  Drug H #> 499 4.610537e+00    4.61053723613999 ml/day/kg     BID  Drug H #> 500 5.437885e+00    5.43788508379327 ml/day/kg     BID  Drug H #> 501 1.196685e+01    11.9668538770102        hr     BID  Drug H #> 502 1.202071e+01    12.0207061265011        hr     BID  Drug H #> 503 6.133203e+00    6.13320286621991        hr     BID  Drug H #> 504 1.097588e+01    10.9758790143515        hr     BID  Drug H #> 505 9.074984e+00    9.07498363047769        hr     BID  Drug H #> 506 9.677453e+00    9.67745331160391        hr     BID  Drug H #> 507 5.332753e+00    5.33275295522064        hr     BID  Drug H #> 508 9.357802e+00    9.35780184155058        hr     BID  Drug H #> 509 9.165453e+00    9.16545334677742        hr     BID  Drug H #> 510 1.138388e+01    11.3838806449804        hr     BID  Drug H #> 511 9.216854e+00    9.21685445473313        hr     BID  Drug H #> 512 1.170380e+01    11.7038030618058        hr     BID  Drug H #> 513 1.303277e+01    13.0327721579817        hr     BID  Drug H #> 514 8.057444e+00     8.0574437333273        hr     BID  Drug H #> 515 1.325065e+01    13.2506468101593        hr     BID  Drug H #> 516 9.044935e+00    9.04493464607706        hr     BID  Drug H #> 517 9.995204e+00    9.99520422131192        hr     BID  Drug H #> 518 6.917983e+00    6.91798293449758        hr     BID  Drug H #> 519 9.940661e+00    9.94066093629947        hr     BID  Drug H #> 520 1.109672e+01    11.0967150432458        hr     BID  Drug H #> 521 4.017339e+00    4.01733868332195        hr     BID  Drug H #> 522 3.462487e+00    3.46248691345843        hr     BID  Drug H #> 523 3.039949e+00     3.0399487644608        hr     BID  Drug H #> 524 2.162042e+00    2.16204177547758        hr     BID  Drug H #> 525 3.318482e+00    3.31848248436165        hr     BID  Drug H #> 526 2.603872e+00     2.6038715031807        hr     BID  Drug H #> 527 4.259190e+00    4.25918951589341        hr     BID  Drug H #> 528 2.468140e+00     2.4681397769112        hr     BID  Drug H #> 529 2.701825e+00    2.70182471946397        hr     BID  Drug I #> 530 2.909028e+00    2.90902801384784        hr     BID  Drug I #> 531 3.655487e+00    3.65548719440919        hr     BID  Drug I #> 532 3.001728e+00    3.00172820515348        hr     BID  Drug I #> 533 2.920457e+00    2.92045657466445        hr     BID  Drug I #> 534 2.959265e+00    2.95926528724271        hr     BID  Drug I #> 535 3.183531e+00    3.18353072464325        hr     BID  Drug I #> 536 3.369116e+00    3.36911599715818        hr     BID  Drug I #> 537 2.432936e+00    2.43293560135496        hr     BID  Drug I #> 538 2.656024e+00    2.65602431857093        hr     BID  Drug I #> 539 4.805290e+00    4.80529007245449        hr     BID  Drug I #> 540 2.569674e+00    2.56967416699386        hr     BID  Drug I #> 541 5.981366e-02  0.0598136609639637      L/hr     BID  Drug I #> 542 5.059267e-02  0.0505926715715636      L/hr     BID  Drug I #> 543 5.017707e-02  0.0501770666329718      L/hr     BID  Drug I #> 544 5.364700e-02  0.0536470026420861      L/hr     BID  Drug I #> 545 3.865679e-02  0.0386567896175236      L/hr     BID  Drug I #> 546 4.852273e-02   0.048522727112721      L/hr     BID  Drug I #> 547 4.820947e-02  0.0482094690432808      L/hr     BID  Drug I #> 548 5.577913e-02  0.0557791295773008      L/hr     BID  Drug I #> 549 2.360682e-02  0.0236068173787631      L/hr     BID  Drug I #> 550 5.140415e-02  0.0514041500468243      L/hr     BID  Drug I #> 551 5.045537e-02  0.0504553693297155      L/hr     BID  Drug I #> 552 5.424366e-02  0.0542436635876486      L/hr     BID  Drug I #> 553 3.779283e-02  0.0377928335638139      L/hr     BID  Drug I #> 554 6.163869e-02  0.0616386851590752      L/hr     BID  Drug I #> 555 5.021936e-02  0.0502193618784825      L/hr     BID  Drug I #> 556 3.397509e-02  0.0339750856052199      L/hr     BID  Drug I #> 557 5.048466e-02  0.0504846631430548      L/hr     BID  Drug I #> 558 4.360797e-02  0.0436079659762418      L/hr     BID  Drug I #> 559 5.574469e-02  0.0557446865479267      L/hr     BID  Drug I #> 560 4.924307e-02  0.0492430713044339      L/hr     BID  Drug I #> 561 4.450401e-03 0.00445040101986545   L/hr/mg     BID  Drug I #> 562 5.263901e-03 0.00526390092639781   L/hr/mg     BID  Drug I #> 563 4.159798e-03 0.00415979823392004   L/hr/mg     BID  Drug I #> 564 4.021430e-03 0.00402143019459275   L/hr/mg     BID  Drug I #> 565 4.157426e-03 0.00415742554333584   L/hr/mg     BID  Drug I #> 566 5.258028e-03 0.00525802803503347   L/hr/mg     BID  Drug I #> 567 6.885781e-03 0.00688578063852627   L/hr/mg     BID  Drug I #> 568 6.132285e-03 0.00613228469251829   L/hr/mg     BID  Drug I #> 569 3.419522e-03 0.00341952201619729   L/hr/mg     BID  Drug I #> 570 4.755805e-03 0.00475580493560046   L/hr/mg     BID  Drug I #> 571 3.421093e-03 0.00342109252922634   L/hr/mg     BID  Drug I #> 572 4.442839e-03 0.00444283851624684   L/hr/mg     BID  Drug I #> 573 4.750608e-03 0.00475060802745212   L/hr/mg     BID  Drug I #> 574 4.355842e-03 0.00435584191965814   L/hr/mg     BID  Drug I #> 575 5.055083e-03 0.00505508311889124   L/hr/mg     BID  Drug I #> 576 3.579471e-03 0.00357947124919533   L/hr/mg     BID  Drug I #> 577 4.063676e-03  0.0040636762174183   L/hr/mg     BID  Drug I #> 578 4.639761e-03 0.00463976086792879   L/hr/mg     BID  Drug I #> 579 5.655336e-03 0.00565533573509659   L/hr/mg     BID  Drug I #> 580 3.493216e-03 0.00349321613109921   L/hr/mg     BID  Drug I #> 581 1.859404e+00    1.85940413197033        mg     BID  Drug I #> 582 1.859404e+00    1.85940413197033        mg     BID  Drug I #> 583 1.265525e+00    1.26552534505872        mg     BID  Drug I #> 584 1.265525e+00    1.26552534505872        mg     BID  Drug I #> 585 1.573342e+00    1.57334171054674        mg     BID  Drug I #> 586 1.573342e+00    1.57334171054674        mg     BID  Drug I #> 587 1.301849e+00     1.3018486912045        mg     BID  Drug I #> 588 1.301849e+00     1.3018486912045        mg     BID  Drug I #> 589 1.735282e+00    1.73528245211133        mg     BID  Drug I #> 590 1.735282e+00    1.73528245211133        mg     BID  Drug I #> 591 1.526295e+00    1.52629480815639        mg     BID  Drug I #> 592 1.526295e+00    1.52629480815639        mg     BID  Drug I #> 593 1.415139e+00    1.41513944351306        mg     BID  Drug I #> 594 1.415139e+00    1.41513944351306        mg     BID  Drug I #> 595 1.887536e+00    1.88753573284349        mg     BID  Drug J #> 596 1.887536e+00    1.88753573284349        mg     BID  Drug J #> 597 1.459179e+00    1.45917926658843        mg     BID  Drug J #> 598 1.459179e+00    1.45917926658843        mg     BID  Drug J #> 599 1.611991e+00    1.61199055541577        mg     BID  Drug J #> 600 1.611991e+00    1.61199055541577        mg     BID  Drug J #> 601 1.828629e+00    1.82862928067855        mg     BID  Drug J #> 602 1.828629e+00    1.82862928067855        mg     BID  Drug J #> 603 1.382464e+00    1.38246363685291        mg     BID  Drug J #> 604 1.382464e+00    1.38246363685291        mg     BID  Drug J #> 605 1.507962e+00    1.50796220314385        mg     BID  Drug J #> 606 1.507962e+00    1.50796220314385        mg     BID  Drug J #> 607 1.434500e+00    1.43449990404704        mg     BID  Drug J #> 608 1.434500e+00    1.43449990404704        mg     BID  Drug J #> 609 1.976796e+00    1.97679630812782        mg     BID  Drug J #> 610 1.976796e+00    1.97679630812782        mg     BID  Drug J #> 611 1.135203e+00    1.13520289866102        mg     BID  Drug J #> 612 1.135203e+00    1.13520289866102        mg     BID  Drug J #> 613 1.906845e+00     1.9068448161695        mg     BID  Drug J #> 614 1.906845e+00     1.9068448161695        mg     BID  Drug J #> 615 1.961348e+00    1.96134763331244        mg     BID  Drug J #> 616 1.961348e+00    1.96134763331244        mg     BID  Drug J #> 617 1.458434e+00    1.45843396966174        mg     BID  Drug J #> 618 1.458434e+00    1.45843396966174        mg     BID  Drug J #> 619 2.095667e+00    2.09566662198212        mg     BID  Drug J #> 620 2.095667e+00    2.09566662198212        mg     BID  Drug J #> 621 1.112410e+01    11.1241017445401         %     BID  Drug J #> 622 1.112410e+01    11.1241017445401         %     BID  Drug J #> 623 1.309804e+01    13.0980442122669         %     BID  Drug J #> 624 1.309804e+01    13.0980442122669         %     BID  Drug J #> 625 1.603946e+01     16.039461234946         %     BID  Drug J #> 626 1.603946e+01     16.039461234946         %     BID  Drug J #> 627 1.284554e+01    12.8455426253741         %     BID  Drug J #> 628 1.284554e+01    12.8455426253741         %     BID  Drug J #> 629 1.402493e+01    14.0249256128241         %     BID  Drug J #> 630 1.402493e+01    14.0249256128241         %     BID  Drug J #> 631 1.389169e+01    13.8916919791415         %     BID  Drug J #> 632 1.389169e+01    13.8916919791415         %     BID  Drug J #> 633 1.962518e+01    19.6251776848061         %     BID  Drug J #> 634 1.962518e+01    19.6251776848061         %     BID  Drug J #> 635 1.723888e+01    17.2388808338258         %     BID  Drug J #> 636 1.723888e+01    17.2388808338258         %     BID  Drug J #> 637 1.327166e+01    13.2716645974904         %     BID  Drug J #> 638 1.327166e+01    13.2716645974904         %     BID  Drug J #> 639 1.283775e+01     12.837752640077         %     BID  Drug J #> 640 1.283775e+01     12.837752640077         %     BID  Drug J #> 641 1.521676e+01    15.2167647627425         %     BID  Drug J #> 642 1.521676e+01    15.2167647627425         %     BID  Drug J #> 643 1.958348e+01    19.5834819400363         %     BID  Drug J #> 644 1.958348e+01    19.5834819400363         %     BID  Drug J #> 645 1.395994e+01    13.9599364922328         %     BID  Drug J #> 646 1.395994e+01    13.9599364922328         %     BID  Drug J #> 647 1.410760e+01     14.107602151713         %     BID  Drug J #> 648 1.410760e+01     14.107602151713         %     BID  Drug J #> 649 1.893647e+01     18.936473853621         %     BID  Drug J #> 650 1.893647e+01     18.936473853621         %     BID  Drug J #> 651 1.844963e+01     18.449630669667         %     BID  Drug J #> 652 1.844963e+01     18.449630669667         %     BID  Drug J #> 653 1.589160e+01      15.89160304836         %     BID  Drug J #> 654 1.589160e+01      15.89160304836         %     BID  Drug J #> 655 1.822207e+01    18.2220706371774         %     BID  Drug J #> 656 1.822207e+01    18.2220706371774         %     BID  Drug J #> 657 1.656440e+01    16.5644027289067         %     BID  Drug J #> 658 1.656440e+01    16.5644027289067         %     BID  Drug J #> 659 1.340679e+01    13.4067868033689         %     BID  Drug J #> 660 1.340679e+01    13.4067868033689         %     BID  Drug J"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqlqc.html","id":null,"dir":"Reference","previous_headings":"","what":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"Function generating random EORTC QLQ-C30 V3 Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqlqc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"","code":"radqlqc(adsl, percent, number, seed = NULL, cached = FALSE)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqlqc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). percent (numeric) Completion - Completed least y percent questions, 1 record per visit number (numeric) Completion - Completed least x question(s), 1 record per visit seed (numeric) Seed use reproducible random number generation. cached boolean whether cached ADQLQC data cadqlqc returned new data generated. set TRUE arguments radqlqc ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqlqc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqlqc.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"Keys: STUDYID, USUBJID, PARCAT1N, PARAMCD, BASETYPE, AVISITN, ATPTN, ADTM, QSSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqlqc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1)  adqlqc <- radqlqc(adsl, seed = 1, percent = 80, number = 2) adqlqc #> # A tibble: 2,860 × 50 #>    STUDYID USUBJID   SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY TRT01P #>    <chr>   <chr>     <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct>  #>  1 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  2 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  3 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  4 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  5 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  6 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  7 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  8 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  9 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #> 10 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #> # ℹ 2,850 more rows #> # ℹ 39 more variables: TRT01A <fct>, REGION1 <fct>, ITTFL <fct>, SAFFL <fct>, #> #   TRTSDTM <dttm>, TRTEDTM <dttm>, QSSEQ <int>, QSCAT <fct>, QSSCAT <fct>, #> #   QSDTC <dttm>, QSSTAT <fct>, QSSTRESC <fct>, QSSTRESU <fct>, QSORRES <fct>, #> #   QSORRESU <fct>, QSTEST <fct>, QSTESTCD <fct>, QSREASND <fct>, #> #   QSEVLINT <fct>, VISIT <fct>, VISITNUM <int>, ASEQ <int>, PARAM <fct>, #> #   PARAMCD <fct>, PARCAT1 <fct>, PARCAT1N <dbl>, PARCAT2 <fct>, AVAL <dbl>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqs.html","id":null,"dir":"Reference","previous_headings":"","what":"Questionnaires Analysis Dataset (ADQS) — radqs","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"Function generating random Questionnaires Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"","code":"radqs(   adsl,   param = c(\"BFI All Questions\", \"Fatigue Interference\",     \"Function/Well-Being (GF1,GF3,GF7)\", \"Treatment Side Effects (GP2,C5,GP5)\",     \"FKSI-19 All Questions\"),   paramcd = c(\"BFIALL\", \"FATIGI\", \"FKSI-FWB\", \"FKSI-TSE\", \"FKSIALL\"),   visit_format = \"WEEK\",   n_assessments = 5L,   n_days = 5L,   seed = NULL,   na_percentage = 0,   na_vars = list(LOQFL = c(NA, 0.1), ABLFL2 = c(1234, 0.1), ABLFL = c(1235, 0.1), CHG2 =     c(1235, 0.1), PCHG2 = c(1235, 0.1), CHG = c(1234, 0.1), PCHG = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADQS data cadqs returned new data generated. set TRUE arguments radqs ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, AVISITN","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqs.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"npaszty","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radqs.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adqs <- radqs(adsl, visit_format = \"WEEK\", n_assessments = 7L, seed = 2) adqs #> # A tibble: 450 × 73 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 440 more rows #> # ℹ 62 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  adqs <- radqs(adsl, visit_format = \"CYCLE\", n_assessments = 3L, seed = 2) adqs #> # A tibble: 800 × 73 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 790 more rows #> # ℹ 62 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radrs.html","id":null,"dir":"Reference","previous_headings":"","what":"Tumor Response Analysis Dataset (ADRS) — radrs","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"Function generating random Tumor Response Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radrs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"","code":"radrs(   adsl,   avalc = NULL,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(AVISIT = c(NA, 0.1), AVAL = c(1234, 0.1), AVALC = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radrs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). avalc (character vector) Analysis value categories. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADRS data cadrs returned new data generated. set TRUE arguments radrs ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radrs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radrs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"One record per subject per parameter per analysis visit per analysis date. SDTM variables populated new records coming single records. Otherwise, SDTM variables left blank. Keys: STUDYID, USUBJID, PARAMCD, AVISITN, ADT, RSSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radrs.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adrs <- radrs(adsl, seed = 2) adrs #> # A tibble: 80 × 65 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 70 more rows #> # ℹ 54 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsaftte.html","id":null,"dir":"Reference","previous_headings":"","what":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"Function generate random Time--Safety Event Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsaftte.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"","code":"radsaftte(adsl, ...)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsaftte.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). ... Additional arguments passed radaette","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsaftte.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsaftte.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"Keys: STUDYID, USUBJID, PARAMCD","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsaftte.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adsaftte <- radsaftte(adsl, seed = 2) adsaftte #> # A tibble: 90 × 66 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 80 more rows #> # ℹ 55 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsl.html","id":null,"dir":"Reference","previous_headings":"","what":"Subject-Level Analysis Dataset (ADSL) — radsl","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"Subject-Level Analysis Dataset (ADSL) used provide variables describe attributes subject. ADSL source subject-level variables used analysis data sets, population flags treatment variables. one ADSL per study. ADSL related metadata required CDISC-based submission data clinical trial even analysis data sets submitted.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsl.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"","code":"radsl(   N = 400,   study_duration = 2,   seed = NULL,   with_trt02 = TRUE,   na_percentage = 0,   na_vars = list(AGE = NA, SEX = NA, RACE = NA, STRATA1 = NA, STRATA2 = NA, BMRKR1 =     c(seed = 1234, percentage = 0.1), BMRKR2 = c(1234, 0.1), BEP01FL = NA),   ae_withdrawal_prob = 0.05,   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsl.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"N (numeric) Number patients. study_duration (numeric) Duration study years. seed (numeric) Seed use reproducible random number generation. with_trt02 (logical) period 2 added. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. ae_withdrawal_prob (proportion) Probability least one Adverse Event leading withdrawal study drug. cached boolean whether cached ADSL data cadsl returned new data generated. set TRUE arguments radsl ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsl.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsl.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"One record per subject. Keys: STUDYID, USUBJID","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsl.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1) adsl #> # A tibble: 10 × 55 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-C… id-10  CHN-3     35 YEARS M     ASIAN NOT H… CHN     N     #>  2 AB12345 AB12345-J… id-7   JPN-4     30 YEARS F     ASIAN NOT H… JPN     N     #>  3 AB12345 AB12345-U… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #>  4 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  5 AB12345 AB12345-C… id-2   CHN-11    35 YEARS M     BLAC… NOT H… CHN     N     #>  6 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  7 AB12345 AB12345-C… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #>  8 AB12345 AB12345-R… id-4   RUS-1     36 YEARS M     BLAC… NOT H… RUS     N     #>  9 AB12345 AB12345-R… id-6   RUS-1     36 YEARS F     ASIAN NOT H… RUS     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 44 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, #> #   AP01SDTM <dttm>, AP01EDTM <dttm>, AP02SDTM <dttm>, AP02EDTM <dttm>, …  adsl <- radsl(   N = 10, seed = 1,   na_percentage = 0.1,   na_vars = list(     DTHDT = c(seed = 1234, percentage = 0.1),     LSTALVDT = c(seed = 1234, percentage = 0.1)   ) ) adsl #> # A data frame: 10 × 55 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-C… id-10  CHN-3     35 YEARS M     ASIAN NOT H… CHN     N     #>  2 AB12345 AB12345-J… id-7   JPN-4     30 YEARS F     ASIAN NOT H… JPN     N     #>  3 AB12345 AB12345-U… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #>  4 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  5 AB12345 AB12345-C… id-2   CHN-11    35 YEARS M     BLAC… NOT H… CHN     N     #>  6 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  7 AB12345 AB12345-C… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #>  8 AB12345 AB12345-R… id-4   RUS-1     36 YEARS M     BLAC… NOT H… RUS     N     #>  9 AB12345 AB12345-R… id-6   RUS-1     36 YEARS F     ASIAN NOT H… RUS     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 44 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, #> #   AP01SDTM <dttm>, AP01EDTM <dttm>, AP02SDTM <dttm>, AP02EDTM <dttm>, …  adsl <- radsl(N = 10, seed = 1, na_percentage = .1) adsl #> # A data frame: 10 × 55 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-C… id-10  CHN-3     NA YEARS M     NA    NOT H… CHN     N     #>  2 AB12345 AB12345-J… id-7   JPN-4     30 YEARS NA    ASIAN NOT H… JPN     N     #>  3 AB12345 AB12345-U… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #>  4 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  5 AB12345 AB12345-C… id-2   CHN-11    35 YEARS M     BLAC… NOT H… CHN     N     #>  6 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  7 AB12345 AB12345-C… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #>  8 AB12345 AB12345-R… id-4   RUS-1     36 YEARS M     BLAC… NOT H… RUS     N     #>  9 AB12345 AB12345-R… id-6   RUS-1     36 YEARS F     ASIAN NOT H… RUS     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 44 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, #> #   AP01SDTM <dttm>, AP01EDTM <dttm>, AP02SDTM <dttm>, AP02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsub.html","id":null,"dir":"Reference","previous_headings":"","what":"Subcategory Analysis Dataset (ADSUB) — radsub","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"Function generating random Subcategory Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsub.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"","code":"radsub(   adsl,   param = c(\"Baseline Weight\", \"Baseline Height\", \"Baseline BMI\", \"Baseline ECOG\",     \"Baseline Biomarker Mutation\"),   paramcd = c(\"BWGHTSI\", \"BHGHTSI\", \"BBMISI\", \"BECOG\", \"BBMRKR1\"),   seed = NULL,   na_percentage = 0,   na_vars = list(),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsub.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADSUB data cadsub returned new data generated. set TRUE arguments radsub ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsub.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsub.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"One record per subject. Keys: STUDYID, USUBJID, PARAMCD, AVISITN, ADTM, SRCSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsub.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"tomlinsj, npaszty, Xuefeng Hou, dipietrc","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radsub.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adsub <- radsub(adsl, seed = 2) adsub #> # A tibble: 50 × 65 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  8 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 40 more rows #> # ℹ 54 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtr.html","id":null,"dir":"Reference","previous_headings":"","what":"Tumor Response Analysis Dataset (ADTR) — radtr","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"Function generating random Tumor Response Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"","code":"radtr(   adsl,   param = c(\"Sum of Longest Diameter by Investigator\"),   paramcd = c(\"SLDINV\"),   seed = NULL,   cached = FALSE,   ... )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtr.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. seed (numeric) Seed use reproducible random number generation. cached boolean whether cached ADTR data cadtr returned new data generated. set TRUE arguments radtr ignored. ... Additional arguments passed radrs.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtr.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtr.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, BASETYPE, AVISITN, DTYPE","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtr.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"tomlinsj, npaszty, Xuefeng Hou, dipietrc","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtr.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adtr <- radtr(adsl, seed = 2) adtr #>    STUDYID             USUBJID SUBJID SITEID AGE  AGEU SEX #> 1  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 2  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 3  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 4  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 5  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 6  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 7  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 8  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 9  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 10 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 11 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 12 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 13 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 14 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 15 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 16 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 17 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 18 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 19 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 20 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 21 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 22 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 23 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 24 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 25 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 26 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 27 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 28 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 29 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 30 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 31 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 32 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 33 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 34 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 35 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 36 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 37 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 38 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 39 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 40 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 41 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 42 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 43 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 44 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 45 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 46 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 47 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 48 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 49 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 50 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 51 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 52 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 53 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 54 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 55 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 56 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 57 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 58 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 59 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 60 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 61 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 62 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 63 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 64 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 65 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 66 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 67 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 68 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 69 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 70 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #>                                RACE                 ETHNIC COUNTRY DTHFL #> 1         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 2         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 3         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 4         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 5         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 6         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 7         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 8                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 9                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 10                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 11                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 12                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 13                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 14                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 15                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 16                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 17                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 18                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 19                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 20                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 21                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 22        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 23        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 24        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 25        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 26        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 27        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 28        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 29                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 30                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 31                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 32                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 33                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 34                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 35                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 36                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 37                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 38                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 39                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 40                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 41                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 42                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 43                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 44                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 45                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 46                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 47                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 48                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 49                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 50        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 51        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 52        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 53        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 54        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 55        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 56        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 57                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 58                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 59                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 60                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 61                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 62                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 63                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 64 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 65 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 66 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 67 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 68 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 69 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 70 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #>            INVID         INVNAM            ARM ARMCD         ACTARM ACTARMCD #> 1   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 2   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 3   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 4   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 5   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 6   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 7   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 8   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 9   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 10  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 11  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 12  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 13  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 14  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 15 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 16 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 17 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 18 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 19 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 20 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 21 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 22 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 23 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 24 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 25 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 26 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 27 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 28 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 29  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 30  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 31  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 32  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 33  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 34  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 35  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 36  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 37  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 38  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 39  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 40  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 41  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 42  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 43  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 44  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 45  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 46  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 47  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 48  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 49  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 50  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 51  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 52  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 53  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 54  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 55  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 56  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 57  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 58  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 59  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 60  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 61  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 62  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 63  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 64 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 65 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 66 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 67 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 68 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 69 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 70 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #>            TRT01P         TRT01A         TRT02P         TRT02A       REGION1 #> 1  C: Combination C: Combination      A: Drug X C: Combination South America #> 2  C: Combination C: Combination      A: Drug X C: Combination South America #> 3  C: Combination C: Combination      A: Drug X C: Combination South America #> 4  C: Combination C: Combination      A: Drug X C: Combination South America #> 5  C: Combination C: Combination      A: Drug X C: Combination South America #> 6  C: Combination C: Combination      A: Drug X C: Combination South America #> 7  C: Combination C: Combination      A: Drug X C: Combination South America #> 8       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 9       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 10      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 11      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 12      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 13      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 14      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 15 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 16 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 17 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 18 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 19 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 20 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 21 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 22      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 23      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 24      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 25      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 26      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 27      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 28      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 29     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 30     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 31     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 32     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 33     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 34     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 35     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 36      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 37      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 38      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 39      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 40      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 41      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 42      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 43      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 44      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 45      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 46      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 47      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 48      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 49      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 50     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 51     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 52     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 53     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 54     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 55     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 56     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 57      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 58      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 59      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 60      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 61      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 62      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 63      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 64      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 65      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 66      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 67      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 68      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 69      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 70      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #>    STRATA1 STRATA2    BMRKR1 BMRKR2 ITTFL SAFFL BMEASIFL BEP01FL AEWITHFL #> 1        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 2        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 3        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 4        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 5        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 6        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 7        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 8        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 9        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 10       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 11       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 12       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 13       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 14       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 15       B      S1  8.926907    LOW     Y     Y        N       N        N #> 16       B      S1  8.926907    LOW     Y     Y        N       N        N #> 17       B      S1  8.926907    LOW     Y     Y        N       N        N #> 18       B      S1  8.926907    LOW     Y     Y        N       N        N #> 19       B      S1  8.926907    LOW     Y     Y        N       N        N #> 20       B      S1  8.926907    LOW     Y     Y        N       N        N #> 21       B      S1  8.926907    LOW     Y     Y        N       N        N #> 22       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 23       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 24       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 25       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 26       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 27       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 28       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 29       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 30       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 31       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 32       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 33       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 34       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 35       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 36       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 37       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 38       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 39       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 40       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 41       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 42       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 43       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 44       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 45       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 46       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 47       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 48       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 49       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 50       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 51       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 52       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 53       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 54       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 55       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 56       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 57       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 58       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 59       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 60       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 61       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 62       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 63       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 64       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 65       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 66       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 67       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 68       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 69       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 70       C      S1  7.254058    LOW     Y     Y        Y       N        N #>        RANDDT             TRTSDTM             TRTEDTM           TRT01SDTM #> 1  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 2  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 3  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 4  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 5  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 6  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 7  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 8  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 9  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 10 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 11 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 12 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 13 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 14 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 15 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 16 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 17 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 18 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 19 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 20 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 21 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 22 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 23 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 24 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 25 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 26 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 27 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 28 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 29 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 30 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 31 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 32 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 33 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 34 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 35 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 36 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 37 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 38 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 39 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 40 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 41 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 42 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 43 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 44 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 45 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 46 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 47 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 48 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 49 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 50 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 51 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 52 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 53 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 54 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 55 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 56 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 57 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 58 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 59 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 60 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 61 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 62 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 63 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 64 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 65 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 66 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 67 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 68 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 69 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 70 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #>              TRT01EDTM           TRT02SDTM           TRT02EDTM #> 1  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 2  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 3  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 4  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 5  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 6  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 7  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 8  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 9  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 10 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 11 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 12 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 13 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 14 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 15 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 16 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 17 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 18 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 19 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 20 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 21 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 22                <NA>                <NA>                <NA> #> 23                <NA>                <NA>                <NA> #> 24                <NA>                <NA>                <NA> #> 25                <NA>                <NA>                <NA> #> 26                <NA>                <NA>                <NA> #> 27                <NA>                <NA>                <NA> #> 28                <NA>                <NA>                <NA> #> 29 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 30 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 31 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 32 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 33 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 34 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 35 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 36 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 37 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 38 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 39 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 40 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 41 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 42 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 43 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 44 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 45 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 46 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 47 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 48 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 49 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 50 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 51 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 52 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 53 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 54 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 55 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 56 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 57 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 58 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 59 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 60 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 61 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 62 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 63 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 64 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 65 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 66 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 67 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 68 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 69 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 70 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #>               AP01SDTM            AP01EDTM            AP02SDTM #> 1  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 2  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 3  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 4  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 5  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 6  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 7  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 8  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 9  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 10 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 11 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 12 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 13 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 14 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 15 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 16 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 17 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 18 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 19 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 20 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 21 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 22 2020-02-26 18:15:59                <NA>                <NA> #> 23 2020-02-26 18:15:59                <NA>                <NA> #> 24 2020-02-26 18:15:59                <NA>                <NA> #> 25 2020-02-26 18:15:59                <NA>                <NA> #> 26 2020-02-26 18:15:59                <NA>                <NA> #> 27 2020-02-26 18:15:59                <NA>                <NA> #> 28 2020-02-26 18:15:59                <NA>                <NA> #> 29 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 30 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 31 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 32 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 33 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 34 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 35 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 36 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 37 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 38 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 39 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 40 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 41 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 42 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 43 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 44 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 45 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 46 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 47 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 48 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 49 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 50 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 51 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 52 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 53 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 54 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 55 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 56 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 57 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 58 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 59 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 60 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 61 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 62 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 63 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 64 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 65 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 66 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 67 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 68 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 69 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 70 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #>               AP02EDTM       EOSSTT       EOTSTT      EOSDT EOSDY       DCSREAS #> 1  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 2  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 3  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 4  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 5  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 6  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 7  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 8  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 9  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 10 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 11 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 12 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 13 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 14 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 15 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 16 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 17 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 18 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 19 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 20 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 21 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 22                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 23                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 24                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 25                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 26                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 27                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 28                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 29 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 30 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 31 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 32 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 33 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 34 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 35 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 36 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 37 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 38 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 39 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 40 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 41 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 42 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 43 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 44 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 45 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 46 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 47 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 48 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 49 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 50 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 51 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 52 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 53 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 54 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 55 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 56 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 57 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 58 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 59 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 60 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 61 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 62 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 63 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 64 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 65 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 66 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 67 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 68 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 69 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 70 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #>         DTHDT             DTHCAUS              DTHCAT LDDTHELD LDDTHGR1 #> 1        <NA>                <NA>                <NA>       NA     <NA> #> 2        <NA>                <NA>                <NA>       NA     <NA> #> 3        <NA>                <NA>                <NA>       NA     <NA> #> 4        <NA>                <NA>                <NA>       NA     <NA> #> 5        <NA>                <NA>                <NA>       NA     <NA> #> 6        <NA>                <NA>                <NA>       NA     <NA> #> 7        <NA>                <NA>                <NA>       NA     <NA> #> 8  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 9  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 10 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 11 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 12 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 13 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 14 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 15 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 16 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 17 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 18 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 19 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 20 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 21 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 22       <NA>                <NA>                <NA>       NA     <NA> #> 23       <NA>                <NA>                <NA>       NA     <NA> #> 24       <NA>                <NA>                <NA>       NA     <NA> #> 25       <NA>                <NA>                <NA>       NA     <NA> #> 26       <NA>                <NA>                <NA>       NA     <NA> #> 27       <NA>                <NA>                <NA>       NA     <NA> #> 28       <NA>                <NA>                <NA>       NA     <NA> #> 29       <NA>                <NA>                <NA>       NA     <NA> #> 30       <NA>                <NA>                <NA>       NA     <NA> #> 31       <NA>                <NA>                <NA>       NA     <NA> #> 32       <NA>                <NA>                <NA>       NA     <NA> #> 33       <NA>                <NA>                <NA>       NA     <NA> #> 34       <NA>                <NA>                <NA>       NA     <NA> #> 35       <NA>                <NA>                <NA>       NA     <NA> #> 36       <NA>                <NA>                <NA>       NA     <NA> #> 37       <NA>                <NA>                <NA>       NA     <NA> #> 38       <NA>                <NA>                <NA>       NA     <NA> #> 39       <NA>                <NA>                <NA>       NA     <NA> #> 40       <NA>                <NA>                <NA>       NA     <NA> #> 41       <NA>                <NA>                <NA>       NA     <NA> #> 42       <NA>                <NA>                <NA>       NA     <NA> #> 43       <NA>                <NA>                <NA>       NA     <NA> #> 44       <NA>                <NA>                <NA>       NA     <NA> #> 45       <NA>                <NA>                <NA>       NA     <NA> #> 46       <NA>                <NA>                <NA>       NA     <NA> #> 47       <NA>                <NA>                <NA>       NA     <NA> #> 48       <NA>                <NA>                <NA>       NA     <NA> #> 49       <NA>                <NA>                <NA>       NA     <NA> #> 50       <NA>                <NA>                <NA>       NA     <NA> #> 51       <NA>                <NA>                <NA>       NA     <NA> #> 52       <NA>                <NA>                <NA>       NA     <NA> #> 53       <NA>                <NA>                <NA>       NA     <NA> #> 54       <NA>                <NA>                <NA>       NA     <NA> #> 55       <NA>                <NA>                <NA>       NA     <NA> #> 56       <NA>                <NA>                <NA>       NA     <NA> #> 57       <NA>                <NA>                <NA>       NA     <NA> #> 58       <NA>                <NA>                <NA>       NA     <NA> #> 59       <NA>                <NA>                <NA>       NA     <NA> #> 60       <NA>                <NA>                <NA>       NA     <NA> #> 61       <NA>                <NA>                <NA>       NA     <NA> #> 62       <NA>                <NA>                <NA>       NA     <NA> #> 63       <NA>                <NA>                <NA>       NA     <NA> #> 64       <NA>                <NA>                <NA>       NA     <NA> #> 65       <NA>                <NA>                <NA>       NA     <NA> #> 66       <NA>                <NA>                <NA>       NA     <NA> #> 67       <NA>                <NA>                <NA>       NA     <NA> #> 68       <NA>                <NA>                <NA>       NA     <NA> #> 69       <NA>                <NA>                <NA>       NA     <NA> #> 70       <NA>                <NA>                <NA>       NA     <NA> #>      LSTALVDT DTHADY ADTHAUT AGEGR1   TRTDURD DCSREAS_GRP #> 1  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 2  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 3  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 4  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 5  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 6  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 7  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 8  2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 9  2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 10 2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 11 2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 12 2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 13 2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 14 2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 15 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 16 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 17 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 18 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 19 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 20 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 21 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 22       <NA>     NA    <NA>    <65        NA        <NA> #> 23       <NA>     NA    <NA>    <65        NA        <NA> #> 24       <NA>     NA    <NA>    <65        NA        <NA> #> 25       <NA>     NA    <NA>    <65        NA        <NA> #> 26       <NA>     NA    <NA>    <65        NA        <NA> #> 27       <NA>     NA    <NA>    <65        NA        <NA> #> 28       <NA>     NA    <NA>    <65        NA        <NA> #> 29 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 30 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 31 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 32 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 33 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 34 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 35 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 36 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 37 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 38 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 39 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 40 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 41 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 42 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 43 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 44 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 45 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 46 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 47 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 48 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 49 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 50 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 51 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 52 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 53 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 54 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 55 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 56 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 57 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 58 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 59 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 60 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 61 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 62 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 63 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 64 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 65 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 66 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 67 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 68 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 69 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 70 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #>                                      PARAM PARAMCD                AVISIT #> 1  Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 2  Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 3  Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 4  Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 5  Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 6  Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 7  Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 8  Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 9  Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 10 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 11 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 12 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 13 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 14 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 15 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 16 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 17 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 18 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 19 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 20 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 21 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 22 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 23 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 24 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 25 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 26 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 27 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 28 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 29 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 30 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 31 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 32 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 33 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 34 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 35 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 36 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 37 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 38 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 39 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 40 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 41 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 42 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 43 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 44 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 45 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 46 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 47 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 48 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 49 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 50 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 51 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 52 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 53 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 54 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 55 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 56 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 57 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 58 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 59 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 60 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 61 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 62 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 63 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 64 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 65 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 66 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 67 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 68 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 69 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 70 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #>    AVISITN       ADTM  ADY   DTYPE      AVAL            AVALC AVALU     BASE #> 1      999 2022-12-07  689         170.92083 170.920832028446    mm 113.2925 #> 2        4 2022-12-20  702 MINIMUM 129.31849 129.318489083911    mm 113.2925 #> 3       -1 2020-10-09 -100         176.74793 176.747928468497    mm 113.2925 #> 4        0 2021-01-17    0                NA             <NA>    mm 113.2925 #> 5        2 2022-10-21  642         155.21502 155.215022960478    mm 113.2925 #> 6        4 2022-12-20  702         129.31849 129.318489083911    mm 113.2925 #> 7      999 2021-10-16  272         186.12497  186.12497059324    mm 113.2925 #> 8      999 2020-09-07  230         162.83456 162.834559197379    mm 137.2934 #> 9        4 2021-01-03  348         203.88264 203.882642391259    mm 137.2934 #> 10     999 2021-08-17  574         177.21001 177.210013002554    mm 137.2934 #> 11     999 2020-09-07  230 MINIMUM 162.83456 162.834559197379    mm 137.2934 #> 12       0 2020-01-21    0                NA             <NA>    mm 137.2934 #> 13       2 2020-11-04  288         192.00660 192.006595354685    mm 137.2934 #> 14      -1 2019-10-13 -100         134.70663 134.706625614629    mm 137.2934 #> 15       4 2021-08-28  483         168.40263 168.402625087087    mm 132.9968 #> 16     999 2021-04-27  360 MINIMUM 133.52191 133.521905548814    mm 132.9968 #> 17      -1 2020-01-23 -100         142.36212 142.362118285105    mm 132.9968 #> 18       2 2021-06-29  423         134.27664 134.276636235556    mm 132.9968 #> 19     999 2020-08-19  109         135.26523 135.265230236085    mm 132.9968 #> 20       0 2020-05-02    0                NA             <NA>    mm 132.9968 #> 21     999 2021-04-27  360         133.52191 133.521905548814    mm 132.9968 #> 22       0 2020-02-26    0                NA             <NA>    mm 141.9365 #> 23      -1 2019-11-18 -100         139.30736 139.307364831736    mm 141.9365 #> 24     999 2021-03-06  374         198.01823 198.018230416784    mm 141.9365 #> 25       2 2021-05-26  455         132.88408 132.884083286846    mm 141.9365 #> 26     999 2020-03-05    8         133.57914  133.57913565285    mm 141.9365 #> 27       4 2021-07-25  515 MINIMUM 121.63978 121.639776669181    mm 141.9365 #> 28       4 2021-07-25  515         121.63978 121.639776669181    mm 141.9365 #> 29       2 2020-01-25  303         209.04787 209.047870741207    mm 161.6451 #> 30       4 2020-03-25  363         152.92758 152.927578195138    mm 161.6451 #> 31       0 2019-03-28    0                NA             <NA>    mm 161.6451 #> 32     999 2021-11-14  962         187.63126 187.631264810984    mm 161.6451 #> 33     999 2020-07-05  465 MINIMUM 111.73624 111.736235465107    mm 161.6451 #> 34     999 2020-07-05  465         111.73624 111.736235465107    mm 161.6451 #> 35      -1 2018-12-18 -100         171.03331 171.033308539064    mm 161.6451 #> 36       2 2022-11-05  861         153.31581 153.315812444564    mm 117.4207 #> 37     999 2023-03-28 1004         179.47970 179.479703823713    mm 117.4207 #> 38     999 2022-05-03  675         173.19144 173.191438067149    mm 117.4207 #> 39       0 2020-06-27    0                NA             <NA>    mm 117.4207 #> 40       2 2022-11-05  861 MINIMUM 153.31581 153.315812444564    mm 117.4207 #> 41       4 2023-01-04  921         155.42461 155.424614142239    mm 117.4207 #> 42      -1 2020-03-19 -100         174.64144 174.641438730238    mm 117.4207 #> 43       4 2021-09-18  727 MINIMUM 120.75645 120.756454557208    mm 107.3777 #> 44     999 2020-12-11  446         122.32514 122.325137102402    mm 107.3777 #> 45       0 2019-09-22    0                NA             <NA>    mm 107.3777 #> 46     999 2020-09-13  357         124.91752 124.917520384125    mm 107.3777 #> 47      -1 2019-06-14 -100         170.10272 170.102716143127    mm 107.3777 #> 48       2 2021-07-20  667         142.91768  142.91768207549    mm 107.3777 #> 49       4 2021-09-18  727         120.75645 120.756454557208    mm 107.3777 #> 50      -1 2020-05-20 -100         116.29608 116.296079891356    mm 161.1686 #> 51       2 2021-07-21  327         207.32206 207.322064439334    mm 161.1686 #> 52       4 2021-09-19  387         177.35987 177.359868282648    mm 161.1686 #> 53       0 2020-08-28    0                NA             <NA>    mm 161.1686 #> 54     999 2021-02-25  181 MINIMUM 125.44212 125.442123033571    mm 161.1686 #> 55     999 2021-10-20  418         128.86572 128.865720965572    mm 161.1686 #> 56     999 2021-02-25  181         125.44212 125.442123033571    mm 161.1686 #> 57       0 2020-10-26    0                NA             <NA>    mm 163.2708 #> 58      -1 2020-07-18 -100         151.82471 151.824708256163    mm 163.2708 #> 59     999 2021-04-09  165         125.77553 125.775527169834    mm 163.2708 #> 60     999 2023-03-25  880         195.61622 195.616215766854    mm 163.2708 #> 61       4 2023-02-09  836 MINIMUM  82.85676 82.8567640271941    mm 163.2708 #> 62       2 2022-12-11  776         102.75526  102.75525794363    mm 163.2708 #> 63       4 2023-02-09  836          82.85676 82.8567640271941    mm 163.2708 #> 64     999 2020-06-13  240 MINIMUM 137.60168  137.60167522998    mm 181.6170 #> 65     999 2021-12-03  778         152.16982 152.169817521355    mm 181.6170 #> 66       4 2022-04-04  900         178.59575 178.595745543059    mm 181.6170 #> 67     999 2020-06-13  240         137.60168  137.60167522998    mm 181.6170 #> 68      -1 2019-07-09 -100         148.93469 148.934693049719    mm 181.6170 #> 69       2 2022-02-03  840         148.18341 148.183410802958    mm 181.6170 #> 70       0 2019-10-17    0                NA             <NA>    mm 181.6170 #>    ABLFL         CHG        PCHG ONTRTFL ANL01FL ANL02FL ANL03FL #> 1         57.6283037  50.8668175       Y       Y                 #> 2         16.0259607  14.1456466       Y                       Y #> 3                 NA          NA                                 #> 4      Y          NA          NA                       Y       Y #> 5         41.9224946  37.0037594       Y       Y                 #> 6         16.0259607  14.1456466       Y       Y       Y         #> 7         72.8324422  64.2870658               Y                 #> 8         25.5411754  18.6033549       Y       Y                 #> 9         66.5892586  48.5014331       Y       Y                 #> 10        39.9166292  29.0739642               Y       Y         #> 11        25.5411754  18.6033549       Y                       Y #> 12     Y          NA          NA                       Y       Y #> 13        54.7132116  39.8513097       Y       Y                 #> 14                NA          NA                                 #> 15        35.4058146  26.6215517       Y       Y       Y         #> 16         0.5250951   0.3948178       Y                       Y #> 17                NA          NA                                 #> 18         1.2798258   0.9622981       Y       Y                 #> 19         2.2684198   1.7056197       Y       Y                 #> 20     Y          NA          NA                       Y       Y #> 21         0.5250951   0.3948178               Y                 #> 22     Y          NA          NA                       Y       Y #> 23                NA          NA                                 #> 24        56.0817767  39.5118909       Y       Y                 #> 25        -9.0523704  -6.3777629       Y       Y                 #> 26        -8.3573181  -5.8880702               Y                 #> 27       -20.2966771 -14.2998339       Y                       Y #> 28       -20.2966771 -14.2998339       Y       Y       Y         #> 29        47.4028071  29.3252426       Y       Y                 #> 30        -8.7174854  -5.3929797       Y       Y                 #> 31     Y          NA          NA                       Y       Y #> 32        25.9862012  16.0760871       Y       Y       Y         #> 33       -49.9088282 -30.8755659       Y                       Y #> 34       -49.9088282 -30.8755659               Y                 #> 35                NA          NA                                 #> 36        35.8951600  30.5697160       Y       Y                 #> 37        62.0590514  52.8519048       Y       Y       Y         #> 38        55.7707856  47.4965728               Y                 #> 39     Y          NA          NA                       Y       Y #> 40        35.8951600  30.5697160       Y                       Y #> 41        38.0039617  32.3656537       Y       Y                 #> 42                NA          NA                                 #> 43        13.3787815  12.4595562       Y                       Y #> 44        14.9474641  13.9204582       Y       Y                 #> 45     Y          NA          NA                       Y       Y #> 46        17.5398474  16.3347248               Y                 #> 47                NA          NA                                 #> 48        35.5400090  33.0981367       Y       Y                 #> 49        13.3787815  12.4595562       Y       Y       Y         #> 50                NA          NA                                 #> 51        46.1534587  28.6367549       Y       Y                 #> 52        16.1912625  10.0461640       Y       Y                 #> 53     Y          NA          NA                       Y       Y #> 54       -35.7264827 -22.1671476       Y                       Y #> 55       -32.3028848 -20.0429138       Y       Y       Y         #> 56       -35.7264827 -22.1671476               Y                 #> 57     Y          NA          NA                       Y       Y #> 58                NA          NA                                 #> 59       -37.4952615 -22.9650765               Y                 #> 60        32.3454271  19.8109089       Y       Y       Y         #> 61       -80.4140246 -49.2519362       Y                       Y #> 62       -60.5155307 -37.0645179       Y       Y                 #> 63       -80.4140246 -49.2519362       Y       Y                 #> 64       -44.0153038 -24.2352362       Y                       Y #> 65       -29.4471615 -16.2138814       Y       Y                 #> 66        -3.0212335  -1.6635193       Y       Y       Y         #> 67       -44.0153038 -24.2352362               Y                 #> 68                NA          NA                                 #> 69       -33.4335682 -18.4088340       Y       Y                 #> 70     Y          NA          NA                       Y       Y"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtte.html","id":null,"dir":"Reference","previous_headings":"","what":"Time-to-Event Analysis Dataset (ADTTE) — radtte","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"Function generating random Time--Event Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtte.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"","code":"radtte(   adsl,   event_descr = NULL,   censor_descr = NULL,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(CNSR = c(NA, 0.1), AVAL = c(1234, 0.1), AVALU = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtte.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). event_descr (character vector) Descriptions events. Defaults NULL. censor_descr (character vector) Descriptions censors. Defaults NULL. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADTTE data cadtte returned new data generated. set TRUE arguments radtte ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtte.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtte.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"Keys: STUDYID, USUBJID, PARAMCD","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radtte.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adtte <- radtte(adsl, seed = 2) adtte #> # A tibble: 50 × 67 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  8 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 40 more rows #> # ℹ 56 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radvs.html","id":null,"dir":"Reference","previous_headings":"","what":"Vital Signs Analysis Dataset (ADVS) — radvs","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"Function generating random Vital Signs Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radvs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"","code":"radvs(   adsl,   param = c(\"Diastolic Blood Pressure\", \"Pulse Rate\", \"Respiratory Rate\",     \"Systolic Blood Pressure\", \"Temperature\", \"Weight\"),   paramcd = c(\"DIABP\", \"PULSE\", \"RESP\", \"SYSBP\", \"TEMP\", \"WEIGHT\"),   paramu = c(\"Pa\", \"beats/min\", \"breaths/min\", \"Pa\", \"C\", \"Kg\"),   visit_format = \"WEEK\",   n_assessments = 5L,   n_days = 5L,   seed = NULL,   na_percentage = 0,   na_vars = list(CHG2 = c(1235, 0.1), PCHG2 = c(1235, 0.1), CHG = c(1234, 0.1), PCHG =     c(1234, 0.1), AVAL = c(123, 0.1), AVALU = c(123, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radvs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. paramu (character vector) Parameter unit values. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADVS data cadvs returned new data generated. set TRUE arguments radvs ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radvs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radvs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, BASETYPE, AVISITN, ATPTN, DTYPE, ADTM, VSSEQ, ASPID","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radvs.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"npaszty","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/radvs.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  advs <- radvs(adsl, visit_format = \"WEEK\", n_assessments = 7L, seed = 2) advs #> # A tibble: 540 × 87 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 530 more rows #> # ℹ 76 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  advs <- radvs(adsl, visit_format = \"CYCLE\", n_assessments = 3L, seed = 2) advs #> # A tibble: 960 × 87 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 950 more rows #> # ℹ 76 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/random.cdisc.data-package.html","id":null,"dir":"Reference","previous_headings":"","what":"random.cdisc.data Package — random.cdisc.data-package","title":"random.cdisc.data Package — random.cdisc.data-package","text":"Package create random SDTM ADAM datasets.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/random.cdisc.data-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"random.cdisc.data Package — random.cdisc.data-package","text":"Maintainer: Joe Zhu joe.zhu@roche.com Authors: Pawel Rucki pawel.rucki@roche.com Nick Paszty npaszty@gene.com Jana Stoilova jana.stoilova@roche.com Davide Garolini davide.garolini@roche.com Emily de la Rua emily.de_la_rua@contractors.roche.com Christopher DiPietrantonio Adrian Waddell adrian.waddell@gene.com contributors: F. Hoffmann-La Roche AG [copyright holder, funder]","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rcd_var_relabel.html","id":null,"dir":"Reference","previous_headings":"","what":"Primary Keys: Labels — rcd_var_relabel","title":"Primary Keys: Labels — rcd_var_relabel","text":"Shallow copy formatters::var_relabel(). Used mainly internally relabel subset variables data set.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rcd_var_relabel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Primary Keys: Labels — rcd_var_relabel","text":"","code":"rcd_var_relabel(x, ...)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rcd_var_relabel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Primary Keys: Labels — rcd_var_relabel","text":"x (data.frame) Data frame containing variables labels applied. ... (named character) Name-Value pairs, name corresponds variable name x value new variable label.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rcd_var_relabel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Primary Keys: Labels — rcd_var_relabel","text":"x (data.frame) Data frame labels applied.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rel_var.html","id":null,"dir":"Reference","previous_headings":"","what":"Related Variables: Assign — rel_var","title":"Related Variables: Assign — rel_var","text":"Assign values related variable within domain.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rel_var.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Related Variables: Assign — rel_var","text":"","code":"rel_var(df, var_name, related_var, var_values = NULL)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rel_var.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Related Variables: Assign — rel_var","text":"df (data.frame) Data frame containing related variables. var_name (character) Name variable related rel_var add df. related_var (character) Name variable within df values values var_name must relate. var_values () Vector values related values related_var.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rel_var.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Related Variables: Assign — rel_var","text":"df added factor variable var_name containing var_values corresponding related_var.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rel_var.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Related Variables: Assign — rel_var","text":"","code":"# Example with data.frame. params <- c(\"Level A\", \"Level B\", \"Level C\") adlb_df <- data.frame(   ID = 1:9,   PARAM = factor(     rep(c(\"Level A\", \"Level B\", \"Level C\"), 3),     levels = params   ) ) rel_var(   df = adlb_df,   var_name = \"PARAMCD\",   var_values = c(\"A\", \"B\", \"C\"),   related_var = \"PARAM\" ) #>   ID   PARAM PARAMCD #> 1  1 Level A       A #> 2  2 Level B       B #> 3  3 Level C       C #> 4  4 Level A       A #> 5  5 Level B       B #> 6  6 Level C       C #> 7  7 Level A       A #> 8  8 Level B       B #> 9  9 Level C       C  # Example with tibble. adlb_tbl <- tibble::tibble(   ID = 1:9,   PARAM = factor(     rep(c(\"Level A\", \"Level B\", \"Level C\"), 3),     levels = params   ) ) rel_var(   df = adlb_tbl,   var_name = \"PARAMCD\",   var_values = c(\"A\", \"B\", \"C\"),   related_var = \"PARAM\" ) #> # A tibble: 9 × 3 #>      ID PARAM   PARAMCD #>   <int> <fct>   <fct>   #> 1     1 Level A A       #> 2     2 Level B B       #> 3     3 Level C C       #> 4     4 Level A A       #> 5     5 Level B B       #> 6     6 Level C C       #> 7     7 Level A A       #> 8     8 Level B B       #> 9     9 Level C C"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/relvar_init.html","id":null,"dir":"Reference","previous_headings":"","what":"Related Variables: Initialize — relvar_init","title":"Related Variables: Initialize — relvar_init","text":"Verify initialize related variable values. example, relvar_init(\"Alanine Aminotransferase Measurement\", \"ALT\").","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/relvar_init.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Related Variables: Initialize — relvar_init","text":"","code":"relvar_init(relvar1, relvar2)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/relvar_init.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Related Variables: Initialize — relvar_init","text":"relvar1 (list character) List n elements. relvar2 (list character) List n elements.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/relvar_init.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Related Variables: Initialize — relvar_init","text":"vector n elements.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/replace_na.html","id":null,"dir":"Reference","previous_headings":"","what":"Replace Values in a Vector by NA — replace_na","title":"Replace Values in a Vector by NA — replace_na","text":"Randomized replacement values NA.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/replace_na.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Replace Values in a Vector by NA — replace_na","text":"","code":"replace_na(v, percentage = 0.05, seed = NULL)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/replace_na.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Replace Values in a Vector by NA — replace_na","text":"v () Vector type. percentage (proportion) Value 0 1 defining much vector shall replaced NA. number randomized +/- 5% full randomization. seed (numeric) Seed use reproducible random number generation.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/replace_na.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Replace Values in a Vector by NA — replace_na","text":"input vector v certain number values replaced NA.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/retain.html","id":null,"dir":"Reference","previous_headings":"","what":"Primary Keys: Retain Values — retain","title":"Primary Keys: Retain Values — retain","text":"Retain values within primary keys.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/retain.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Primary Keys: Retain Values — retain","text":"","code":"retain(df, value_var, event, outside = NA)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/retain.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Primary Keys: Retain Values — retain","text":"df (data.frame) Data frame apply retain. value_var () Variable df containing value retained. event (expression) Expression returning logical value trigger retain. outside () Additional value retain. Defaults NA.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/retain.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Primary Keys: Retain Values — retain","text":"vector values expression true.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rtexp.html","id":null,"dir":"Reference","previous_headings":"","what":"Truncated Exponential Distribution — rtexp","title":"Truncated Exponential Distribution — rtexp","text":"generates random numbers truncated Exponential distribution, .e. X | X > l X | X < r X ~ Exp(rate). advantage guarantee return exactly n numbers without using loop internally. can derived quantile functions left- right-truncated Exponential distributions.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rtexp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Truncated Exponential Distribution — rtexp","text":"","code":"rtexp(n, rate, l = NULL, r = NULL)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rtexp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Truncated Exponential Distribution — rtexp","text":"n (numeric) Number random numbers. rate (numeric) Non-negative rate. l (numeric) Positive left-hand truncation parameter. r (numeric) Positive right-hand truncation parameter.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rtexp.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Truncated Exponential Distribution — rtexp","text":"random numbers. neither l r provided usual Exponential distribution used.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rtexp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Truncated Exponential Distribution — rtexp","text":"","code":"x <- stats::rexp(1e6, rate = 5) x <- x[x > 0.5] hist(x)   y <- rtexp(1e6, rate = 5, l = 0.5) hist(y)   z <- rtexp(1e6, rate = 5, r = 0.5) hist(z)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rtpois.html","id":null,"dir":"Reference","previous_headings":"","what":"Zero-Truncated Poisson Distribution — rtpois","title":"Zero-Truncated Poisson Distribution — rtpois","text":"generates random numbers zero-truncated Poisson distribution, .e. X | X > 0 X ~ Poisson(lambda). advantage guarantee return exactly n numbers without using loop internally. solution provided post Peter Dalgaard.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rtpois.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Zero-Truncated Poisson Distribution — rtpois","text":"","code":"rtpois(n, lambda)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rtpois.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Zero-Truncated Poisson Distribution — rtpois","text":"n (numeric) Number random numbers. lambda (numeric) Non-negative mean(s).","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rtpois.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Zero-Truncated Poisson Distribution — rtpois","text":"random numbers.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/rtpois.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Zero-Truncated Poisson Distribution — rtpois","text":"","code":"x <- rpois(1e6, lambda = 5) x <- x[x > 0] hist(x)   y <- rtpois(1e6, lambda = 5) hist(y)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/sample_fct.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a Factor with Random Elements of x — sample_fct","title":"Create a Factor with Random Elements of x — sample_fct","text":"Sample elements x replacement build factor.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/sample_fct.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a Factor with Random Elements of x — sample_fct","text":"","code":"sample_fct(x, N, ...)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/sample_fct.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a Factor with Random Elements of x — sample_fct","text":"x (character vector factor) character vector also used levels returned factor. factor levels used new levels. N (numeric) Number items choose. ... Additional arguments passed sample.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/sample_fct.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a Factor with Random Elements of x — sample_fct","text":"factor length N.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/sample_fct.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a Factor with Random Elements of x — sample_fct","text":"","code":"sample_fct(letters[1:3], 10) #>  [1] c b c b c b b a a b #> Levels: a b c sample_fct(iris$Species, 10) #>  [1] versicolor setosa     versicolor versicolor setosa     setosa     #>  [7] versicolor versicolor versicolor setosa     #> Levels: setosa versicolor virginica"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/visit_schedule.html","id":null,"dir":"Reference","previous_headings":"","what":"Create Visit Schedule — visit_schedule","title":"Create Visit Schedule — visit_schedule","text":"Create visit schedule factor.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/visit_schedule.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create Visit Schedule — visit_schedule","text":"","code":"visit_schedule(visit_format = \"WEEK\", n_assessments = 10L, n_days = 5L)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/visit_schedule.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create Visit Schedule — visit_schedule","text":"visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\").","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/visit_schedule.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create Visit Schedule — visit_schedule","text":"factor length n_assessments.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/visit_schedule.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Create Visit Schedule — visit_schedule","text":"X number visits, X number cycles Y number days.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/reference/visit_schedule.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create Visit Schedule — visit_schedule","text":"","code":"visit_schedule(visit_format = \"WEeK\", n_assessments = 10L) visit_schedule(visit_format = \"CyCLE\", n_assessments = 5L, n_days = 2L)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-0316","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.16","title":"random.cdisc.data 0.3.16","text":"CRAN release: 2024-10-10","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"miscellaneous-0-3-16","dir":"Changelog","previous_headings":"","what":"Miscellaneous","title":"random.cdisc.data 0.3.16","text":"Renamed var_relabel rcd_var_relabel copied new functionalities avoid namespace conflict formatters package. Made rcd_var_relabel internal intended developers use . Updated ARM ACTARM variables ADAB data.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-0315","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.15","title":"random.cdisc.data 0.3.15","text":"CRAN release: 2024-03-27","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"new-features-0-3-15","dir":"Changelog","previous_headings":"","what":"New features","title":"random.cdisc.data 0.3.15","text":"Asynchronous cached data updates rebuild_cached_data vignette - data updated (dependency’s) source file updated.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"enhancements-0-3-15","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"random.cdisc.data 0.3.15","text":"Updated level ETHNIC variable datasets \" REPORTED\" \"REPORTED\".","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"miscellaneous-0-3-15","dir":"Changelog","previous_headings":"","what":"Miscellaneous","title":"random.cdisc.data 0.3.15","text":"Specified minimal version package dependencies.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"breaking-changes-0-3-14","dir":"Changelog","previous_headings":"","what":"Breaking changes","title":"random.cdisc.data 0.3.14","text":"Renamed ADSL argument adsl radab, radae, radaette, radcm, raddv, radeg, radex, radhy, radlb, radmh, radpc, radpp, radqlqc, radqs, radrs, radsaftte, radsub, radtr, radtte, radvs, get_qs_data. Renamed ADPC argument adpc radab. Renamed event.descr argument event_descr censor.descr argument censor_descr radaette adtte.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"new-features-0-3-14","dir":"Changelog","previous_headings":"","what":"New features","title":"random.cdisc.data 0.3.14","text":"Added new random dataset generator: Anti-Drug Antibody Analysis Dataset (radab). Added new random dataset generator: EORTC QLQ-C30 V3 Analysis Dataset (radqlqc).","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"enhancements-0-3-14","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"random.cdisc.data 0.3.14","text":"Added variables ASTDY, AENDY, EXDOSFRQ, EXROUTE, VISIT, VISITDY, EXSTDTC, EXENDTC, EXSTDY, EXENDY, TRTSDT, TRTEDT adex. Added default PARAMs new variables PPSTINT, PPENINT, REGIMEN, PKARMCD adpp. Added TNE PARAMCD, Total Number Exacerbations PARAM, new variable lgTMATRSK adtte. Added default PARAMs post-baseline visits adab enhanced variables ADAPBLFL, ABLFL, ADABLFL, PARCAT1, RELTMU. Added variables AEWITHFL ADTHAUT adsl. Added variable ATIREL admh. Added variables CMSTRTPT, CMENRTPT, ADURN, ADURU adcm. Added variables AESCONG, AESDISAB, AESHOSP, AESLIFE, AESMIE, LDOSEDTM adae. Added parameter with_trt02 radsl make second treatment period available. with_trt02 = TRUE (default), add variables TRT02A, TRT02P, TRT02SDTM, TRT02EDTM, AP02SDTM, AP02EDTM, TRT01SDTM, TRT01EDTM, AP01SDTM, AP01EDTM adsl, set TRTSDTM TRT01SDTM, TRTEDTM TRT02EDTM. Added variable LDRELTM adae. 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Updated sampling TRTSDTM radsl efficient.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-039","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.9","title":"random.cdisc.data 0.3.9","text":"Fix warnings binding factors characters.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-038","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.8","title":"random.cdisc.data 0.3.8","text":"Added variables ATC1CD, ATC2CD, ATC3CD, ATC4CD ADCM data. lookup argument now takes parameters CATCD CAT instead PARAMCD PARAM. CATCD specifies code study specific treatment emergent adverse events (e.g. “1”) CAT specifies corresponding text (e.g. “adverse event”). resulting data set contains now number total occurrences per patient specific AE category (PARAMCD starting AETOT ending CATCD). 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Added new parameter “Duration Confirmed Response” ADTTE data set.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-036","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.6","title":"random.cdisc.data 0.3.6","text":"Fixed radsl N < 4.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-035","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.5","title":"random.cdisc.data 0.3.5","text":"Added ADTR dataset osprey. Added 10 variables ADAE dataset: AEOUT, AEACN, AESDTH, TRTEMFL, ANL01FL, SMQ01NAM, SMQ02NAM, SMQ01SC, SMQ02SC, CQ01NAM. Added WORS02FL (Worst Post-Baseline Observation) ADEG dataset. Added ADEG dataset. 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Renamed AREL column ADAE AEREL.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-031","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.1","title":"random.cdisc.data 0.3.1","text":"Refactored renaming functions utils.nest. Added ADEX dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-030","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.0","title":"random.cdisc.data 0.3.0","text":"Columns classes configuration .yml file. Added Medical History Analysis Dataset (radmh). Added missing columns based Roche standards. Introduced missing values random datasets generators (.e. r<name>). Updated lists dataset columns. Enhanced auto-testing.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-021","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.2.1","title":"random.cdisc.data 0.2.1","text":"Added cached versions datasets c<name>.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-020","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.2.0","title":"random.cdisc.data 0.2.0","text":"New consistent approach creating random data different domains. Switch new CDISC names (e.g. ADSL instead ASL). Subject-Level Analysis Dataset (radsl). Adverse Event Analysis Dataset (radae). Time Adverse Event Analysis Dataset (radaette). Previous Concomitant Medications Analysis Dataset (radcm). Laboratory Data Analysis Dataset (radlb). Questionnaires Analysis Dataset (radqs). Time--Event Dataset (radtte). Tumor Response Analysis Dataset (radrs). Vital Signs Analysis Dataset (radvs).","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/latest-tag/news/index.html","id":"randomcdiscdata-010","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.1.0","title":"random.cdisc.data 0.1.0","text":"Initial release.","code":""}]
diff --git a/latest-tag/sitemap.xml b/latest-tag/sitemap.xml
index d929ab9c..d17097de 100644
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index fa08ca64..e0f7cc58 100644
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index 8714b886..26e4b474 100644
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index f56406ab..54410b3c 100644
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index 8724d446..bc6d0dc3 100644
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index 34b989cb..ea32251e 100644
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index 8b2b2849..2955843b 100644
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@@ -28,6 +28,7 @@
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index 9c9d98ee..12cc5bc9 100644
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@@ -28,6 +28,7 @@
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index 41055a46..4fb73129 100644
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@@ -28,6 +28,7 @@
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index dd6f0212..875ff58a 100644
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@@ -28,6 +28,7 @@
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index 8332e469..2ffaeb78 100644
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@@ -28,6 +28,7 @@
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@@ -28,6 +28,7 @@
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index 9c5c09df..9b14463b 100644
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@@ -28,6 +28,7 @@
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@@ -28,6 +28,7 @@
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@@ -28,6 +28,7 @@
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index 228211a4..981d5fb9 100644
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index bdb07674..ff6705cb 100644
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index abddc1b2..82e454bc 100644
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index 589025c0..a6cdebda 100644
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index 7c20908b..ba46ff90 100644
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index 876a0ce3..e121dee0 100644
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index 7cd2841e..01ae6c37 100644
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index 6ab6307d..8c8b8e54 100644
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index 79639be5..22dd2ddd 100644
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index 18af2337..2d32ff63 100644
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@@ -32,6 +32,7 @@
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index 62b05788..71939661 100644
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index bc900830..d6af34a0 100644
--- a/main/reference/radqs.html
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@@ -32,6 +32,7 @@
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index 25cdb611..feaff036 100644
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@@ -32,6 +32,7 @@
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index 7f42f187..604e80b2 100644
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@@ -32,6 +32,7 @@
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index 5fdfe2af..32077b22 100644
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@@ -32,6 +32,7 @@
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diff --git a/main/reference/rcd_var_relabel.html b/main/reference/rcd_var_relabel.html
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index 32f79577..8bcb4dbd 100644
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index b07ad841..10315435 100644
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index 1e4e44d5..44d73a6d 100644
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index 41a3c738..73080df6 100644
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diff --git a/reference/radeg.html b/reference/radeg.html
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diff --git a/reference/radex.html b/reference/radex.html
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index 1f76b2f2..9904cb86 100644
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index 8f16b793..7aea4cbf 100644
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@@ -50,6 +50,7 @@
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diff --git a/v0.3.16/404.html b/v0.3.16/404.html
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+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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index 3dd76988..754685d8 100644
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@@ -22,6 +22,16 @@
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 <li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
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+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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index d3e19f60..240855c9 100644
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@@ -22,6 +22,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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index 051cf61f..792a6eaa 100644
--- a/v0.3.16/LICENSE-text.html
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   </ul></li>
 <li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index 1e044293..a51cfa19 100644
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@@ -22,6 +22,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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index 01594f43..ee24ec42 100644
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@@ -22,6 +22,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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index bede3a58..78538c62 100644
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@@ -40,6 +40,16 @@
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 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index 2d710a81..e03081d7 100644
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   </ul></li>
 <li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index d2197cc5..aa5f24a7 100644
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@@ -42,6 +42,16 @@
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 <li class="nav-item"><a class="nav-link" href="news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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index bb3cdf8a..4515b2ff 100644
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 <li class="active nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index d31785d8..3340b60a 100644
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   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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index a56753e2..36a0cc4a 100644
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 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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index 4558a0ff..24faeae9 100644
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   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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index da21f3ef..ed423b9a 100644
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 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
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+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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index 794a66e2..7be8934d 100644
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 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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index f0e46f24..38940802 100644
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 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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index 31c46758..3b614e34 100644
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 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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index 47c89396..8ac40aef 100644
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 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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index 1e580f74..480922dc 100644
--- a/v0.3.16/reference/cadrs.html
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@@ -22,6 +22,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index f806f3b4..416e84d6 100644
--- a/v0.3.16/reference/cadsl.html
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@@ -22,6 +22,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index 5ad8c830..cb664350 100644
--- a/v0.3.16/reference/cadsub.html
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@@ -22,6 +22,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index 8156ce81..bc84b564 100644
--- a/v0.3.16/reference/cadtr.html
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@@ -22,6 +22,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index c05c129c..17383e73 100644
--- a/v0.3.16/reference/cadtte.html
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@@ -22,6 +22,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
   <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
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index f72418cb..21feb1a6 100644
--- a/v0.3.16/reference/cadvs.html
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@@ -22,6 +22,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
   <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
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index 9526bf1b..a82f736a 100644
--- a/v0.3.16/reference/h_adqlqc.html
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@@ -22,6 +22,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index 6d1c417f..20dd67be 100644
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@@ -28,6 +28,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index 4a36dc67..ff6705cb 100644
--- a/v0.3.16/reference/index.html
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@@ -22,6 +22,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
   <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
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index 420a581c..ea6ab95e 100644
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@@ -24,6 +24,16 @@
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 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
   <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
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index 3a992983..a5be2c0c 100644
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@@ -26,6 +26,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
   <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
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index a80c9dfb..e66e75f8 100644
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   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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index a5e91778..fbf15cce 100644
--- a/v0.3.16/reference/radaette.html
+++ b/v0.3.16/reference/radaette.html
@@ -26,6 +26,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index d790faba..c5edd9b2 100644
--- a/v0.3.16/reference/radcm.html
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@@ -26,6 +26,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index 45c3a044..fea263c1 100644
--- a/v0.3.16/reference/raddv.html
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@@ -26,6 +26,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index 819867eb..2c5c0ef3 100644
--- a/v0.3.16/reference/radeg.html
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@@ -26,6 +26,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index 7b5ed8e9..ee47fbda 100644
--- a/v0.3.16/reference/radex.html
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@@ -26,6 +26,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
   <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
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index 8f8b9f3b..d52a8d06 100644
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@@ -26,6 +26,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index cbdaac24..38742870 100644
--- a/v0.3.16/reference/radlb.html
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@@ -26,6 +26,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index dc2e9c43..af2aea35 100644
--- a/v0.3.16/reference/radmh.html
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@@ -26,6 +26,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index 61c5bde0..1ffdaa37 100644
--- a/v0.3.16/reference/radpc.html
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@@ -26,6 +26,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
   <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
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index e0ff73f1..f3e3f54a 100644
--- a/v0.3.16/reference/radpp.html
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@@ -26,6 +26,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
   <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
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index 9535f3a7..43b34546 100644
--- a/v0.3.16/reference/radqlqc.html
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@@ -26,6 +26,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
   <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
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index d5c4e54e..afaacc0b 100644
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@@ -26,6 +26,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
   <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
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index 5a0cd8cb..40515ee6 100644
--- a/v0.3.16/reference/radrs.html
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@@ -26,6 +26,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index a073be70..e3940d7c 100644
--- a/v0.3.16/reference/radsaftte.html
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@@ -24,6 +24,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index 1320bbe3..736e383a 100644
--- a/v0.3.16/reference/radsl.html
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@@ -34,6 +34,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index 6dfdfac6..3e5e199d 100644
--- a/v0.3.16/reference/radsub.html
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@@ -26,6 +26,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index c5536251..d37c4b5e 100644
--- a/v0.3.16/reference/radtr.html
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@@ -26,6 +26,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index b9798545..0162f184 100644
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@@ -26,6 +26,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
   <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
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index bf42ff28..62fde45f 100644
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@@ -26,6 +26,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
   <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
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index fad8c2a6..9bc1fd43 100644
--- a/v0.3.16/reference/random.cdisc.data-package.html
+++ b/v0.3.16/reference/random.cdisc.data-package.html
@@ -22,6 +22,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index 3f974464..a6d516b5 100644
--- a/v0.3.16/reference/rcd_var_relabel.html
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@@ -24,6 +24,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
   <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
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index 85a364ac..c1ecb44a 100644
--- a/v0.3.16/reference/rel_var.html
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@@ -22,6 +22,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
   <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
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index 9d20d864..f1351348 100644
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@@ -24,6 +24,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
   <button class="nav-link dropdown-toggle" type="button" id="dropdown-reports" data-bs-toggle="dropdown" aria-expanded="false" aria-haspopup="true">Reports</button>
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index 362e36a4..174001c9 100644
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   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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index c614f946..3a9c6afe 100644
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   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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diff --git a/v0.3.16/reference/rtexp.html b/v0.3.16/reference/rtexp.html
index 29380c9e..b8d6cb4c 100644
--- a/v0.3.16/reference/rtexp.html
+++ b/v0.3.16/reference/rtexp.html
@@ -32,6 +32,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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diff --git a/v0.3.16/reference/rtpois.html b/v0.3.16/reference/rtpois.html
index 5684a002..dd0c327d 100644
--- a/v0.3.16/reference/rtpois.html
+++ b/v0.3.16/reference/rtpois.html
@@ -32,6 +32,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
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+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
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diff --git a/v0.3.16/reference/sample_fct.html b/v0.3.16/reference/sample_fct.html
index 1aeada6e..8545669f 100644
--- a/v0.3.16/reference/sample_fct.html
+++ b/v0.3.16/reference/sample_fct.html
@@ -22,6 +22,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
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+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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diff --git a/v0.3.16/reference/visit_schedule.html b/v0.3.16/reference/visit_schedule.html
index 05729288..a0d429aa 100644
--- a/v0.3.16/reference/visit_schedule.html
+++ b/v0.3.16/reference/visit_schedule.html
@@ -22,6 +22,16 @@
   </ul></li>
 <li class="nav-item"><a class="nav-link" href="../news/index.html">Changelog</a></li>
 <li class="nav-item dropdown">
+<!-- start dropdown for versions --> <li class="nav-item dropdown">
+        <a href="#" class="nav-link dropdown-toggle"
+          data-bs-toggle="dropdown" role="button"
+          aria-expanded="false" aria-haspopup="true"
+          id="dropdown-versions">Versions</a> <div class="dropdown-menu" aria-labelledby="dropdown-versions"> <a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/main">main</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/latest-tag">latest-tag</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.16">v0.3.16</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.15">v0.3.15</a>
+<a class="dropdown-item" data-toggle="tooltip" title="" href="https://insightsengineering.github.io/random.cdisc.data/v0.3.14">v0.3.14</a> </div></li>
+<!-- end dropdown for versions -->
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diff --git a/v0.3.16/search.json b/v0.3.16/search.json
index 8ce179db..8f69faa8 100644
--- a/v0.3.16/search.json
+++ b/v0.3.16/search.json
@@ -1 +1 @@
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Community leaders right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, communicate reasons moderation decisions appropriate.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within community spaces, also applies individual officially representing community public spaces. Examples representing community include using official e-mail address, posting via official social media account, acting appointed representative online offline event.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported community leaders responsible enforcement [INSERT CONTACT METHOD]. complaints reviewed investigated promptly fairly. community leaders obligated respect privacy security reporter incident.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CODE_OF_CONDUCT.html","id":"enforcement-guidelines","dir":"","previous_headings":"","what":"Enforcement Guidelines","title":"Contributor Covenant Code of Conduct","text":"Community leaders follow Community Impact Guidelines determining consequences action deem violation Code Conduct:","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CODE_OF_CONDUCT.html","id":"id_1-correction","dir":"","previous_headings":"Enforcement Guidelines","what":"1. Correction","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Use inappropriate language behavior deemed unprofessional unwelcome community. Consequence: private, written warning community leaders, providing clarity around nature violation explanation behavior inappropriate. public apology may requested.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CODE_OF_CONDUCT.html","id":"id_2-warning","dir":"","previous_headings":"Enforcement Guidelines","what":"2. Warning","title":"Contributor Covenant Code of Conduct","text":"Community Impact: violation single incident series actions. Consequence: warning consequences continued behavior. interaction people involved, including unsolicited interaction enforcing Code Conduct, specified period time. includes avoiding interactions community spaces well external channels like social media. Violating terms may lead temporary permanent ban.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CODE_OF_CONDUCT.html","id":"id_3-temporary-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"3. Temporary Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: serious violation community standards, including sustained inappropriate behavior. Consequence: temporary ban sort interaction public communication community specified period time. public private interaction people involved, including unsolicited interaction enforcing Code Conduct, allowed period. Violating terms may lead permanent ban.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CODE_OF_CONDUCT.html","id":"id_4-permanent-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"4. Permanent Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Demonstrating pattern violation community standards, including sustained inappropriate behavior, harassment individual, aggression toward disparagement classes individuals. Consequence: permanent ban sort public interaction within community.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 2.1, available https://www.contributor-covenant.org/version/2/1/code_of_conduct.html. Community Impact Guidelines inspired Mozilla’s code conduct enforcement ladder. answers common questions code conduct, see FAQ https://www.contributor-covenant.org/faq. Translations available https://www.contributor-covenant.org/translations.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CONTRIBUTING.html","id":null,"dir":"","previous_headings":"","what":"Contribution Guidelines","title":"Contribution Guidelines","text":"🙏 Thank taking time contribute! input deeply valued, whether issue, pull request, even feedback, regardless size, content scope.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CONTRIBUTING.html","id":"table-of-contents","dir":"","previous_headings":"","what":"Table of contents","title":"Contribution Guidelines","text":"👶 Getting started 📔 Code Conduct 🗃 License 📜 Issues 🚩 Pull requests 💻 Coding guidelines 🏆 Recognition model ❓ Questions","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CONTRIBUTING.html","id":"getting-started","dir":"","previous_headings":"","what":"Getting started","title":"Contribution Guidelines","text":"Please refer project documentation brief introduction. Please also see articles within project documentation additional information.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CONTRIBUTING.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Contribution Guidelines","text":"Code Conduct governs project. Participants contributors expected follow rules outlined therein.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CONTRIBUTING.html","id":"license","dir":"","previous_headings":"","what":"License","title":"Contribution Guidelines","text":"contributions covered project’s license.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CONTRIBUTING.html","id":"issues","dir":"","previous_headings":"","what":"Issues","title":"Contribution Guidelines","text":"use GitHub track issues, feature requests, bugs. submitting new issue, please check issue already reported. issue already exists, please upvote existing issue 👍. new feature requests, please elaborate context benefit feature users, developers, relevant personas.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/CONTRIBUTING.html","id":"github-flow","dir":"","previous_headings":"Pull requests","what":"GitHub Flow","title":"Contribution Guidelines","text":"repository uses GitHub Flow model collaboration. submit pull request: Create branch Please see branch naming convention . don’t write access repository, please fork . Make changes Make sure code passes checks imposed GitHub Actions well documented well tested unit tests sufficiently covering changes introduced Create pull request (PR) pull request description, please link relevant issue (), provide detailed description change, include assumptions. Address review comments, Post approval Merge PR write access. Otherwise, reviewer merge PR behalf. Pat back Congratulations! 🎉 now official contributor project! grateful contribution.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CONTRIBUTING.html","id":"branch-naming-convention","dir":"","previous_headings":"Pull requests","what":"Branch naming convention","title":"Contribution Guidelines","text":"Suppose changes related current issue current project; please name branch follows: <issue_id>_<short_description>. Please use underscore (_) delimiter word separation. example, 420_fix_ui_bug suitable branch name change resolving UI-related bug reported issue number 420 current project. change affects multiple repositories, please name branches follows: <issue_id>_<issue_repo>_<short description>. example, 69_awesomeproject_fix_spelling_error reference issue 69 reported project awesomeproject aims resolve one spelling errors multiple (likely related) repositories.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CONTRIBUTING.html","id":"monorepo-and-stageddependencies","dir":"","previous_headings":"Pull requests","what":"monorepo and staged.dependencies","title":"Contribution Guidelines","text":"Sometimes might need change upstream dependent package(s) able submit meaningful change. using staged.dependencies functionality simulate monorepo behavior. dependency configuration already specified project’s staged_dependencies.yaml file. need name feature branches appropriately. exception branch naming convention described . Please refer staged.dependencies package documentation details.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CONTRIBUTING.html","id":"coding-guidelines","dir":"","previous_headings":"","what":"Coding guidelines","title":"Contribution Guidelines","text":"repository follows unified processes standards adopted maintainers ensure software development carried consistently within teams cohesively across repositories.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CONTRIBUTING.html","id":"style-guide","dir":"","previous_headings":"Coding guidelines","what":"Style guide","title":"Contribution Guidelines","text":"repository follows standard tidyverse style guide uses lintr lint checks. Customized lint configurations available repository’s .lintr file.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CONTRIBUTING.html","id":"dependency-management","dir":"","previous_headings":"Coding guidelines","what":"Dependency management","title":"Contribution Guidelines","text":"Lightweight right weight. repository follows tinyverse recommedations limiting dependencies minimum.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CONTRIBUTING.html","id":"dependency-version-management","dir":"","previous_headings":"Coding guidelines","what":"Dependency version management","title":"Contribution Guidelines","text":"code compatible (!) historical versions given dependenct package, required specify minimal version DESCRIPTION file. particular: development version requires (imports) development version another package - required put abc (>= 1.2.3.9000).","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/CONTRIBUTING.html","id":"r--package-versions","dir":"","previous_headings":"Coding guidelines > Recommended development environment & tools","what":"R & package versions","title":"Contribution Guidelines","text":"continuously test packages newest R version along recent dependencies CRAN BioConductor. recommend working environment also set way. can find details R version packages used R CMD check GitHub Action execution log - step prints R sessionInfo(). discover bugs older R versions older set dependencies, please create relevant bug reports.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CONTRIBUTING.html","id":"pre-commit","dir":"","previous_headings":"Coding guidelines > Recommended development environment & tools","what":"pre-commit","title":"Contribution Guidelines","text":"highly recommend use pre-commit tool combined R hooks pre-commit execute checks committing pushing changes. Pre-commit hooks already available repository’s .pre-commit-config.yaml file.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CONTRIBUTING.html","id":"recognition-model","dir":"","previous_headings":"","what":"Recognition model","title":"Contribution Guidelines","text":"mentioned previously, contributions deeply valued appreciated. contribution data available part repository insights, recognize significant contribution hence add contributor package authors list, following rules enforced: Minimum 5% lines code authored* (determined git blame query) top 5 contributors terms number commits lines added lines removed* *Excluding auto-generated code, including limited roxygen comments renv.lock files. package maintainer also reserves right adjust criteria recognize contributions.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/CONTRIBUTING.html","id":"questions","dir":"","previous_headings":"","what":"Questions","title":"Contribution Guidelines","text":"questions regarding contribution guidelines, please contact package/repository maintainer.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/SECURITY.html","id":"reporting-security-issues","dir":"","previous_headings":"","what":"Reporting Security Issues","title":"Security Policy","text":"believe found security vulnerability repositories organization, please report us coordinated disclosure. Please report security vulnerabilities public GitHub issues, discussions, pull requests. Instead, please send email vulnerability.management[@]roche.com. Please include much information listed can help us better understand resolve issue: type issue (e.g., buffer overflow, SQL injection, cross-site scripting) Full paths source file(s) related manifestation issue location affected source code (tag/branch/commit direct URL) special configuration required reproduce issue Step--step instructions reproduce issue Proof--concept exploit code (possible) Impact issue, including attacker might exploit issue information help us triage report quickly.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/SECURITY.html","id":"data-security-standards-dss","dir":"","previous_headings":"","what":"Data Security Standards (DSS)","title":"Security Policy","text":"Please make sure reporting issues form bug, feature, pull request, sensitive information PII, PHI, PCI completely removed text attachments, including pictures videos.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/articles/rebuild_cached_data.html","id":"getting-started","dir":"Articles","previous_headings":"","what":"Getting Started","title":"Rebuilding Cached Random CDISC Data","text":"following script used create, compare save cached data data/ directory. Starting R 3.6.0 default kind --hood random-number generator changed. Now, order get results set.seed() match, first call function RNGkind(sample.kind = \"Rounding\"). throws expected warning:","code":"Warning: non-uniform 'Rounding' sampler used"},{"path":"https://insightsengineering.github.io/random.cdisc.data/articles/rebuild_cached_data.html","id":"code-maintenance","dir":"Articles","previous_headings":"","what":"Code Maintenance","title":"Rebuilding Cached Random CDISC Data","text":"Currently, random.cdisc.data data-generating function created modified, code chunk must run build new/updated cached dataset add data/ directory. dataset dependency another dataset updated dependent dataset also updated. manually specify datasets updated, edit data_to_update vector , entering desired dataset names.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/articles/rebuild_cached_data.html","id":"update-cached-data","dir":"Articles","previous_headings":"","what":"Update Cached Data","title":"Rebuilding Cached Random CDISC Data","text":"Note: Prior running following code chunk, please ensure reinstalled random.cdisc.data package completing dataset modifications.","code":"# Helper functions # flatten_list_of_deps <- function(updated_data, data_deps) {   # Get higher deps fnc   get_higher_deps <- function(cur_dep, data_deps) {     sapply(seq_along(data_deps), function(x) {       if (any(cur_dep %in% data_deps[[x]])) {         names(data_deps)[x]       }     })   }    # Get lower deps fnc   get_lower_deps <- function(cur_dep, data_deps) {     data_deps[sapply(cur_dep, function(x) which(x == names(data_deps)))]   }    # Sort data_deps   sort_data_deps <- function(upd_data, data_deps) {     iup <- upd_data     for (ud in upd_data) {       up <- unlist(get_lower_deps(ud, data_deps))       if (any(up %in% upd_data)) {         iup <- unique(unlist(c(up[up %in% upd_data], iup)))       }     }     iup   }    # Firstly, lets sort by dependencies the initial updated data   fin_up <- sort_data_deps(updated_data, data_deps)    # Extracting higher dependencies for each value   cnt <- 1   while (cnt <= length(fin_up)) {     cur_deps <- unlist(       get_higher_deps(fin_up[cnt], data_deps)     )     if (!is.null(cur_deps)) {       cur_deps <- sort_data_deps(cur_deps, data_deps)       fin_up <- unique(c(fin_up[seq_len(cnt)], cur_deps, fin_up[-seq_len(cnt)]))     }     cnt <- cnt + 1   }    fin_up } library(random.cdisc.data) library(diffdf) library(dplyr)  # Call function to match random number generation from previous R versions RNGkind(sample.kind = \"Rounding\")  # Datasets must be listed after all of their dependencies # e.g. adsl is a dependency for all other datasets so it is listed first.  pkg_dir <- dirname(getwd()) # Listing source files and extraction of datasets' names src_files <- list.files(paste0(pkg_dir, \"/R\")) data_nms <- src_files[grepl(\"^ra*\", src_files)] %>%   stringr::str_remove(pattern = \"^r\") %>%   stringr::str_remove(pattern = \".R$\") %>%   sort() # Exception handling data_nms <- data_nms[data_nms != \"adsaftte\"] # Unbuilt for now  # Construction of dependency tree based on formals data_deps <- sapply(   data_nms,   function(x) {     dat_args <- names(formals(paste0(\"r\", x)))     dat_args[dat_args %in% data_nms]   } )  git_call <- \"git diff origin/main --name-only\" updated_files <- tryCatch(   system(git_call, intern = TRUE),   error = function(e) e ) status_uf <- attr(updated_files, \"status\") if (is(updated_files, \"error\") || (!is.null(status_uf) && status_uf == 1)) {   message(\"Found following error in git call: \", git_call)   message(e)   message(     \"The calculation continues as default by recreating all datasets \",     \"and updating the cached data if any change is found.\"   )   updated_data <- data_nms } else {   updated_data <- updated_files[grepl(\"^R\\\\/\", updated_files)] %>%     stringr::str_remove(\"^R\\\\/\") %>%     stringr::str_remove(pattern = \"^r\") %>%     stringr::str_remove(pattern = \".R$\") }  if (length(updated_data) != 0) {   stopifnot(all(updated_data %in% names(data_deps)))    data_to_update <- flatten_list_of_deps(updated_data, data_deps)   default_args <- list(seed = 1, na_vars = list(), who_coding = TRUE, percent = 80, number = 2)    # Generate and save updated cached datasets   for (dat in data_to_update) {     # Match arguments with defaults     dat_args <- default_args[names(default_args) %in% names(formals(paste0(\"r\", dat)))]      # Get the data deps cache that is already there (if adsl returns list())     dat_deps <- lapply(data_deps[[dat]], function(x) get(paste0(\"c\", x)))      # Main call to creation function     cdataset <- do.call(paste0(\"r\", dat), c(dat_args, dat_deps))      # Preview differences     cat(\"\\nSaving cached data for dataset\", paste0(\"*\", dat, \"*\"), \"with the following changes found (diffdf):\\n\")     diff_test <- diffdf(get(paste0(\"c\", dat)), cdataset)     print(diff_test)      # Check if there is any actual change to the data     if (length(diff_test) > 0) { # If no difference -> list()       # Save new cached dataset       assign(paste0(\"c\", dat), cdataset)       fl_save <- paste0(dirname(getwd()), \"/data/c\", dat, \".RData\")       attr(cdataset, \"creation date\") <- lubridate::date() # This should NOT be updated if no changes in diffdf       save(list = paste0(\"c\", dat), file = fl_save, compress = \"xz\")       cat(\"Cached dataset updated for\", paste0(\"*\", dat, \"*\"), \"in\", paste0(\"data/\", basename(fl_save), \".\"), \"\\n\")     } else {       message(\"No update detected on the final data. No cached data was updated for *\", dat, \"*.\")     }   } } else {   message(\"No source files changed: no cached datasets currently require updates.\") }"},{"path":"https://insightsengineering.github.io/random.cdisc.data/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Pawel Rucki. Author. Nick Paszty. Author. Jana Stoilova. Author. Joe Zhu. Author, maintainer. Davide Garolini. Author. Emily de la Rua. Author. Christopher DiPietrantonio. Author. Adrian Waddell. Author. F. Hoffmann-La Roche AG. Copyright holder, funder.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Rucki P, Paszty N, Stoilova J, Zhu J, Garolini D, de la Rua E, DiPietrantonio C, Waddell (2024). random.cdisc.data: Create Random ADaM Datasets. R package version 0.3.16, https://github.com/insightsengineering/random.cdisc.data/, https://insightsengineering.github.io/random.cdisc.data/.","code":"@Manual{,   title = {random.cdisc.data: Create Random ADaM Datasets},   author = {Pawel Rucki and Nick Paszty and Jana Stoilova and Joe Zhu and Davide Garolini and Emily {de la Rua} and Christopher DiPietrantonio and Adrian Waddell},   year = {2024},   note = {R package version 0.3.16,     https://github.com/insightsengineering/random.cdisc.data/},   url = {https://insightsengineering.github.io/random.cdisc.data/}, }"},{"path":"https://insightsengineering.github.io/random.cdisc.data/index.html","id":"randomcdiscdata","dir":"","previous_headings":"","what":"Create Random ADaM Datasets","title":"Create Random ADaM Datasets","text":"random.cdisc.data package creating random CDISC data. random datasets available create : radsl: Subject-Level Analysis Dataset (ADSL) radab: Anti-Drug Antibody Analysis Dataset (ADAB) radae: Adverse Event Analysis Dataset (ADAE) radaette: Time Adverse Event Analysis Dataset (ADAETTE) radcm: Previous Concomitant Medications Analysis Dataset (ADCM) raddv: Protocol Deviations Analysis Dataset (ADDV) radeg: ECG Analysis Dataset (ADEG) radex: Exposure Analysis Dataset (ADEX) radhy: Hys Law Analysis Dataset (ADHY) radlb: Laboratory Data Analysis Dataset (ADLB) radmh: Medical History Analysis Dataset (ADMH) radpc: Pharmacokinetics Analysis Dataset (ADPC) radpp: Pharmacokinetics Parameters Dataset (ADPP) radqlqc: EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) radqs: Questionnaires Analysis Dataset (ADQS) radrs: Response Analysis Dataset (ADRS) radsaftte: Time Safety Event Analysis Dataset (ADSAFTTE, wrapper radaette) radsub: Subcategory Analysis Dataset (ADSUB) radtr: Tumor Response Analysis Dataset (ADTR) radtte: Time--Event Dataset (ADTTE) radvs: Vital Signs Analysis Dataset (ADVS) Please note changes random data functions requires rebuild cached data. Please read “Rebuilding Random CDISC Cached Data” article.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Create Random ADaM Datasets","text":"Alternatively, might also use development version.","code":"install.packages(\"random.cdisc.data\") # install.packages(\"pak\") pak::pak(\"insightsengineering/random.cdisc.data\")"},{"path":"https://insightsengineering.github.io/random.cdisc.data/index.html","id":"acknowledgment","dir":"","previous_headings":"","what":"Acknowledgment","title":"Create Random ADaM Datasets","text":"package result joint efforts many developers stakeholders. like thank everyone contributed far!","code":""},{"path":[]},{"path":[]},{"path":[]},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/apply_metadata.html","id":null,"dir":"Reference","previous_headings":"","what":"Apply Metadata — apply_metadata","title":"Apply Metadata — apply_metadata","text":"Apply label variable ordering attributes domains.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/apply_metadata.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Apply Metadata — apply_metadata","text":"","code":"apply_metadata(   df,   filename,   add_adsl = TRUE,   adsl_filename = \"metadata/ADSL.yml\" )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/apply_metadata.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Apply Metadata — apply_metadata","text":"df (data.frame) Data frame metadata applied. filename (yaml) File containing domain metadata. add_adsl (logical) ADSL data merged domain. adsl_filename (yaml) File containing ADSL metadata.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/apply_metadata.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Apply Metadata — apply_metadata","text":"Data frame metadata applied.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/apply_metadata.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Apply Metadata — apply_metadata","text":"","code":"seed <- 1 adsl <- radsl(seed = seed) adsub <- radsub(adsl, seed = seed) yaml_path <- file.path(path.package(\"random.cdisc.data\"), \"inst\", \"metadata\") adsl <- apply_metadata(adsl, file.path(yaml_path, \"ADSL.yml\"), FALSE) adsub <- apply_metadata(   adsub, file.path(yaml_path, \"ADSUB.yml\"), TRUE,   file.path(yaml_path, \"ADSL.yml\") )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/argument_convention.html","id":null,"dir":"Reference","previous_headings":"","what":"Standard Arguments — argument_convention","title":"Standard Arguments — argument_convention","text":"documentation function lists arguments random.cdisc.data used repeatedly dataset creation.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/argument_convention.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Standard Arguments — argument_convention","text":"seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. adsl (data.frame) Subject-Level Analysis Dataset (ADSL). lookup (data.frame) Additional parameters. lookup_aag (data.frame) Additional metadata parameters. param (character vector) Parameter values. paramcd (character vector) Parameter code values. paramu (character vector) Parameter unit values. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). aval_mean (numeric vector) Mean values corresponding parameter.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadab.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADAB — cadab","title":"Cached ADAB — cadab","text":"Cached ADAB data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadab.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADAB — cadab","text":"","code":"data(cadab)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadab.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADAB — cadab","text":"object class tbl_df (inherits tbl, data.frame) 6916 rows 21 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadae.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADAE — cadae","title":"Cached ADAE — cadae","text":"Cached ADAE data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadae.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADAE — cadae","text":"","code":"data(cadae)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadae.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADAE — cadae","text":"object class tbl_df (inherits tbl, data.frame) 1934 rows 92 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadaette.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADAETTE — cadaette","title":"Cached ADAETTE — cadaette","text":"Cached ADAETTE data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadaette.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADAETTE — cadaette","text":"","code":"data(cadaette)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadaette.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADAETTE — cadaette","text":"object class tbl_df (inherits tbl, data.frame) 3600 rows 66 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadcm.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADCM — cadcm","title":"Cached ADCM — cadcm","text":"Cached ADCM data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadcm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADCM — cadcm","text":"","code":"data(cadcm)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadcm.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADCM — cadcm","text":"object class tbl_df (inherits tbl, data.frame) 3685 rows 83 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/caddv.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADDV — caddv","title":"Cached ADDV — caddv","text":"Cached ADDV data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/caddv.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADDV — caddv","text":"","code":"data(caddv)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/caddv.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADDV — caddv","text":"object class tbl_df (inherits tbl, data.frame) 119 rows 66 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadeg.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADEG — cadeg","title":"Cached ADEG — cadeg","text":"Cached ADEG data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadeg.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADEG — cadeg","text":"","code":"data(cadeg)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadeg.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADEG — cadeg","text":"object class tbl_df (inherits tbl, data.frame) 13600 rows 88 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadex.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADEX — cadex","title":"Cached ADEX — cadex","text":"Cached ADEX data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadex.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADEX — cadex","text":"","code":"data(cadex)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadex.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADEX — cadex","text":"object class tbl_df (inherits tbl, data.frame) 6400 rows 79 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadhy.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADHY — cadhy","title":"Cached ADHY — cadhy","text":"Cached ADHY data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadhy.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADHY — cadhy","text":"","code":"data(cadhy)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadhy.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADHY — cadhy","text":"object class tbl_df (inherits tbl, data.frame) 20000 rows 71 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadlb.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADLB — cadlb","title":"Cached ADLB — cadlb","text":"Cached ADLB data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadlb.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADLB — cadlb","text":"","code":"data(cadlb)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadlb.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADLB — cadlb","text":"object class tbl_df (inherits tbl, data.frame) 8400 rows 102 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadmh.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADMH — cadmh","title":"Cached ADMH — cadmh","text":"Cached ADMH data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadmh.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADMH — cadmh","text":"","code":"data(cadmh)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadmh.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADMH — cadmh","text":"object class tbl_df (inherits tbl, data.frame) 1934 rows 67 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadpc.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADPC — cadpc","title":"Cached ADPC — cadpc","text":"Cached ADPC data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadpc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADPC — cadpc","text":"","code":"data(cadpc)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadpc.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADPC — cadpc","text":"object class tbl_df (inherits tbl, data.frame) 6640 rows 72 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadpp.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADPP — cadpp","title":"Cached ADPP — cadpp","text":"Cached ADPP data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadpp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADPP — cadpp","text":"","code":"data(cadpp)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadpp.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADPP — cadpp","text":"object class data.frame 26268 rows 68 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadqlqc.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADQLQC — cadqlqc","title":"Cached ADQLQC — cadqlqc","text":"Cached ADQLQC data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadqlqc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADQLQC — cadqlqc","text":"","code":"data(cadqlqc)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadqlqc.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADQLQC — cadqlqc","text":"object class tbl_df (inherits tbl, data.frame) 116803 rows 50 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadqs.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADQS — cadqs","title":"Cached ADQS — cadqs","text":"Cached ADQS data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadqs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADQS — cadqs","text":"","code":"data(cadqs)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadqs.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADQS — cadqs","text":"object class tbl_df (inherits tbl, data.frame) 14000 rows 73 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadrs.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADRS — cadrs","title":"Cached ADRS — cadrs","text":"Cached ADRS data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadrs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADRS — cadrs","text":"","code":"data(cadrs)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadrs.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADRS — cadrs","text":"object class tbl_df (inherits tbl, data.frame) 3200 rows 65 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadsl.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADSL — cadsl","title":"Cached ADSL — cadsl","text":"Cached ADSL data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadsl.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADSL — cadsl","text":"","code":"data(cadsl)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadsl.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADSL — cadsl","text":"object class tbl_df (inherits tbl, data.frame) 400 rows 55 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadsub.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADSUB — cadsub","title":"Cached ADSUB — cadsub","text":"Cached ADSUB data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadsub.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADSUB — cadsub","text":"","code":"data(cadsub)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadsub.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADSUB — cadsub","text":"object class tbl_df (inherits tbl, data.frame) 2000 rows 65 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadtr.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADTR — cadtr","title":"Cached ADTR — cadtr","text":"Cached ADTR data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadtr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADTR — cadtr","text":"","code":"data(cadtr)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadtr.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADTR — cadtr","text":"object class data.frame 2800 rows 76 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadtte.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADTTE — cadtte","title":"Cached ADTTE — cadtte","text":"Cached ADTTE data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadtte.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADTTE — cadtte","text":"","code":"data(cadtte)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadtte.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADTTE — cadtte","text":"object class tbl_df (inherits tbl, data.frame) 2000 rows 67 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadvs.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADVS — cadvs","title":"Cached ADVS — cadvs","text":"Cached ADVS data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadvs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADVS — cadvs","text":"","code":"data(cadvs)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/cadvs.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADVS — cadvs","text":"object class tbl_df (inherits tbl, data.frame) 16800 rows 87 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/h_adqlqc.html","id":null,"dir":"Reference","previous_headings":"","what":"Helper Functions for Constructing ADQLQC — h_adqlqc","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"Internal functions used radqlqc.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/h_adqlqc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"","code":"get_qs_data(   adsl,   visit_format = \"CYCLE\",   n_assessments = 5L,   n_days = 1L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(QSORRES = c(1234, 0.2), QSSTRESC = c(1234, 0.2)) )  get_random_dates_between(from, to, visit_id)  prep_adqlqc(df)  calc_scales(adqlqc1)  derv_chgcat1(dataset)  comp_derv(dataset, percent, number)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/h_adqlqc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. (datetime vector) Start date/times. (datetime vector) End date/times. visit_id (vector) Visit identifiers. df (data.frame) SDTM QS dataset. adqlqc1 (data.frame) Prepared data generated prep_adqlqc() function. dataset (data.frame) Dataset. percent (numeric) Completion - Completed least y percent questions, 1 record per visit number (numeric) Completion - Completed least x question(s), 1 record per visit","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/h_adqlqc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"dataframe SDTM questionnaire data Data frame new randomly generated dates variable. data.frame data.frame data.frame data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/h_adqlqc.html","id":"functions","dir":"Reference","previous_headings":"","what":"Functions","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"get_qs_data(): Questionnaires EORTC QLQ-C30 V3.0 SDTM (QS) Function generating random Questionnaires SDTM domain get_random_dates_between(): Function generating random dates 2 dates prep_adqlqc(): Prepare ADaM ADQLQC data, adding PARAMCD SDTM QS data calc_scales(): Scale calculation ADQLQC data derv_chgcat1(): Calculate Change Baseline Category 1 comp_derv(): Completion/Compliance Data Calculation","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/h_adqlqc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1) adqlqc <- radqlqc(adsl, seed = 1, percent = 80, number = 2)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/h_anthropometrics_by_sex.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","title":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","text":"Anthropometric measurements randomly generated using normal approximation. default mean standard deviation values used based US National Health Statistics adults aged 20 years . measurements generated units provided function.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/h_anthropometrics_by_sex.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","text":"","code":"h_anthropometrics_by_sex(   df,   seed = 1,   id_var = \"USUBJID\",   sex_var = \"SEX\",   sex_var_level_male = \"M\",   male_weight_in_kg = list(mean = 90.6, sd = 44.9),   female_weight_in_kg = list(mean = 77.5, sd = 46.2),   male_height_in_m = list(mean = 1.75, sd = 0.14),   female_height_in_m = list(mean = 1.61, sd = 0.24) )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/h_anthropometrics_by_sex.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","text":"df (data.frame) Analysis dataset. seed (numeric) Seed use reproducible random number generation. id_var (character) Patient identifier variable name. sex_var (character) Name variable representing sex patient. sex_var_level_male (character) Level sex_var representing males. male_weight_in_kg (named list) List means SDs male weights kilograms. female_weight_in_kg (named list) List means SDs female weights kilograms. male_height_in_m (named list) List means SDs male heights metres. female_height_in_m (named list) list means SDs female heights metres.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/h_anthropometrics_by_sex.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","text":"dataframe anthropometric measurements subject analysis dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/h_anthropometrics_by_sex.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","text":"One record per subject.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/mutate_na.html","id":null,"dir":"Reference","previous_headings":"","what":"Replace Values with NA — mutate_na","title":"Replace Values with NA — mutate_na","text":"Replace column values NAs.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/mutate_na.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Replace Values with NA — mutate_na","text":"","code":"mutate_na(ds, na_vars = NULL, na_percentage = 0.05)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/mutate_na.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Replace Values with NA — mutate_na","text":"ds (data.frame) data set. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. na_percentage (proportion) Default percentage values replaced NA.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/mutate_na.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Replace Values with NA — mutate_na","text":"dataframe without NA values.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radab.html","id":null,"dir":"Reference","previous_headings":"","what":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"Function generating random Anti-Drug Antibody Analysis Dataset given Subject-Level Analysis Dataset Pharmacokinetics Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radab.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"","code":"radab(   adsl,   adpc,   constants = c(D = 100, ka = 0.8, ke = 1),   paramcd = c(\"R1800000\", \"RESULT1\", \"R1800001\", \"RESULT2\", \"ADASTAT1\", \"INDUCD1\",     \"ENHANC1\", \"TRUNAFF1\", \"EMERNEG1\", \"EMERPOS1\", \"PERSADA1\", \"TRANADA1\", \"BFLAG1\",     \"TIMADA1\", \"ADADUR1\", \"ADASTAT2\", \"INDUCD2\", \"ENHANC2\", \"EMERNEG2\", \"EMERPOS2\",     \"BFLAG2\", \"TRUNAFF2\"),   param = c(\"Antibody titer units\", \"ADA interpreted per sample result\",     \"Neutralizing Antibody titer units\", \"NAB interpreted per sample result\",     \"ADA Status of a patient\", \"Treatment induced ADA\", \"Treatment enhanced ADA\",     \"Treatment unaffected\", \"Treatment Emergent - Negative\",     \"Treatment Emergent - Positive\", \"Persistent ADA\", \"Transient ADA\", \"Baseline\",     \"Time to onset of ADA\", \"ADA Duration\", \"NAB Status of a patient\",     \"Treatment induced ADA, Neutralizing Antibody\",     \"Treatment enhanced ADA, Neutralizing Antibody\",           \"Treatment Emergent - Negative, Neutralizing Antibody\",     \"Treatment Emergent - Positive, Neutralizing Antibody\",     \"Baseline, Neutralizing Antibody\", \"Treatment unaffected, Neutralizing Antibody\"),   avalu = c(\"titer\", \"\", \"titer\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"weeks\",     \"weeks\", \"\", \"\", \"\", \"\", \"\", \"\", \"\"),   seed = NULL,   na_percentage = 0,   na_vars = list(AVAL = c(NA, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radab.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). adpc (data.frame) Pharmacokinetics Analysis Dataset. constants (character vector) Constant parameters used formulas creating analysis values. paramcd (character vector) Parameter code values. param (character vector) Parameter values. avalu (character) Analysis value units. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADAB data cadab returned new data generated. set TRUE arguments radab ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radab.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radab.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"One record per study per subject per parameter per time point: \"R1800000\", \"RESULT1\", \"R1800001\", \"RESULT2\".","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radab.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2) adpc <- radpc(adsl, seed = 2, duration = 9 * 7)  adab <- radab(adsl, adpc, seed = 2) adab #> # A tibble: 208 × 21 #>    STUDYID USUBJID      ARM   ACTARM ISTPT  AVAL AVALC AVALU PARAM PARAMCD VISIT #>    <chr>   <chr>        <fct> <fct>  <fct> <dbl> <chr> <fct> <fct> <fct>   <fct> #>  1 AB12345 AB12345-JPN… A: D… A: Dr… Pred…  1.04 POSI… titer Anti… R18000… Day 1 #>  2 AB12345 AB12345-USA… A: D… A: Dr… Pred…  1.32 POSI… titer Anti… R18000… Day 1 #>  3 AB12345 AB12345-BRA… A: D… A: Dr… Pred… NA    NEGA… titer Anti… R18000… Day 1 #>  4 AB12345 AB12345-CHN… A: D… A: Dr… Pred… NA    NEGA… titer Anti… R18000… Day 1 #>  5 AB12345 AB12345-CHN… C: C… C: Co… Pred…  1.03 POSI… titer Anti… R18000… Day 1 #>  6 AB12345 AB12345-CHN… A: D… A: Dr… Pred…  1.14 POSI… titer Anti… R18000… Day 1 #>  7 AB12345 AB12345-RUS… A: D… A: Dr… Pred…  1.40 POSI… titer Anti… R18000… Day 1 #>  8 AB12345 AB12345-BRA… C: C… C: Co… Pred… NA    NEGA… titer Anti… R18000… Day 1 #>  9 AB12345 AB12345-JPN… A: D… A: Dr… 24H    1.20 POSI… titer Anti… R18000… Day 2 #> 10 AB12345 AB12345-USA… A: D… A: Dr… 24H   NA    NEGA… titer Anti… R18000… Day 2 #> # ℹ 198 more rows #> # ℹ 10 more variables: VISITDY <int>, PARCAT1 <fct>, ADABLPFL <fct>, #> #   ADPBLPFL <fct>, ABLFL <fct>, RELTMU <fct>, NFRLT <dbl>, AFRLT <dbl>, #> #   NRRLT <dbl>, ARRLT <dbl>"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radae.html","id":null,"dir":"Reference","previous_headings":"","what":"Adverse Event Analysis Dataset (ADAE) — radae","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"Function generating random Adverse Event Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radae.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"","code":"radae(   adsl,   max_n_aes = 10L,   lookup = NULL,   lookup_aag = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(AEBODSYS = c(NA, 0.1), AEDECOD = c(1234, 0.1), AETOXGR = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radae.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). max_n_aes (integer) Maximum number AEs per patient. Defaults 10. lookup (data.frame) Additional parameters. lookup_aag (data.frame) Additional metadata parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADAE data cadae returned new data generated. set TRUE arguments radae ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radae.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radae.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"One record per record corresponding SDTM domain. Keys: STUDYID, USUBJID, ASTDTM, AETERM, AESEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radae.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1)  adae <- radae(adsl, seed = 2) adae #> # A tibble: 51 × 92 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  8 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 41 more rows #> # ℹ 81 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  # Add metadata. aag <- utils::read.table(   sep = \",\", header = TRUE,   text = paste(     \"NAMVAR,SRCVAR,GRPTYPE,REFNAME,REFTERM,SCOPE\",     \"CQ01NAM,AEDECOD,CUSTOM,D.2.1.5.3/A.1.1.1.1 AESI,dcd D.2.1.5.3,\",     \"CQ01NAM,AEDECOD,CUSTOM,D.2.1.5.3/A.1.1.1.1 AESI,dcd A.1.1.1.1,\",     \"SMQ01NAM,AEDECOD,SMQ,C.1.1.1.3/B.2.2.3.1 AESI,dcd C.1.1.1.3,BROAD\",     \"SMQ01NAM,AEDECOD,SMQ,C.1.1.1.3/B.2.2.3.1 AESI,dcd B.2.2.3.1,BROAD\",     \"SMQ02NAM,AEDECOD,SMQ,Y.9.9.9.9/Z.9.9.9.9 AESI,dcd Y.9.9.9.9,NARROW\",     \"SMQ02NAM,AEDECOD,SMQ,Y.9.9.9.9/Z.9.9.9.9 AESI,dcd Z.9.9.9.9,NARROW\",     sep = \"\\n\"   ), stringsAsFactors = FALSE )  adae <- radae(adsl, lookup_aag = aag)  with(   adae,   cbind(     table(AEDECOD, SMQ01NAM),     table(AEDECOD, CQ01NAM)   ) ) #>               C.1.1.1.3/B.2.2.3.1 AESI D.2.1.5.3/A.1.1.1.1 AESI #> dcd A.1.1.1.1                        0                        9 #> dcd A.1.1.1.2                        0                        0 #> dcd B.1.1.1.1                        0                        0 #> dcd B.2.1.2.1                        0                        0 #> dcd B.2.2.3.1                       11                        0 #> dcd C.1.1.1.3                       10                        0 #> dcd C.2.1.2.1                        0                        0 #> dcd D.1.1.1.1                        0                        0 #> dcd D.1.1.4.2                        0                        0 #> dcd D.2.1.5.3                        0                        6"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radaette.html","id":null,"dir":"Reference","previous_headings":"","what":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"Function generate random Time--AE Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radaette.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"","code":"radaette(   adsl,   event_descr = NULL,   censor_descr = NULL,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(CNSR = c(NA, 0.1), AVAL = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radaette.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). event_descr (character vector) Descriptions events. Defaults NULL. censor_descr (character vector) Descriptions censors. Defaults NULL. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADAETTE data cadaette returned new data generated. set TRUE arguments radaette ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radaette.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radaette.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"Keys: STUDYID, USUBJID, PARAMCD","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radaette.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"Xiuting Mi","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radaette.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adaette <- radaette(adsl, seed = 2) adaette #> # A tibble: 90 × 66 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 80 more rows #> # ℹ 55 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radcm.html","id":null,"dir":"Reference","previous_headings":"","what":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"Function generating random Concomitant Medication Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radcm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"","code":"radcm(   adsl,   max_n_cms = 10L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(CMCLAS = c(NA, 0.1), CMDECOD = c(1234, 0.1), ATIREL = c(1234, 0.1)),   who_coding = FALSE,   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radcm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). max_n_cms (integer) Maximum number concomitant medications per patient. Defaults 10. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. who_coding (flag) Whether coding (multiple paths per medication) used. cached boolean whether cached ADCM data cadcm returned new data generated. set TRUE arguments radcm ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radcm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radcm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"One record per record corresponding SDTM domain. Keys: STUDYID, USUBJID, ASTDTM, CMSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radcm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adcm <- radcm(adsl, seed = 2) adcm #> # A tibble: 50 × 83 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  2 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  3 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  4 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  5 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  8 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  9 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #> 10 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #> # ℹ 40 more rows #> # ℹ 72 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  adcm_who <- radcm(adsl, seed = 2, who_coding = TRUE) adcm_who #> # A tibble: 102 × 83 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  2 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  3 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  4 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  5 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  8 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  9 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #> 10 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #> # ℹ 92 more rows #> # ℹ 72 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/raddv.html","id":null,"dir":"Reference","previous_headings":"","what":"Protocol Deviations Analysis Dataset (ADDV) — raddv","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"Function generating random Protocol Deviations Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/raddv.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"","code":"raddv(   adsl,   max_n_dv = 3L,   p_dv = 0.15,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(ASTDT = c(seed = 1234, percentage = 0.1), DVCAT = c(seed = 1234,     percentage = 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/raddv.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). max_n_dv (integer) Maximum number deviations per patient. Defaults 3. p_dv (proportion) Probability patient protocol deviations. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADDV data caddv returned new data generated. set TRUE arguments raddv ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/raddv.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/raddv.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"One record per record corresponding SDTM domain. Keys: STUDYID, USUBJID, ASTDT, DVTERM, DVSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/raddv.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  addv <- raddv(adsl, seed = 2) addv #> # A tibble: 9 × 66 #>   STUDYID USUBJID     SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>   <chr>   <chr>       <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #> 1 AB12345 AB12345-BR… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 2 AB12345 AB12345-BR… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 3 AB12345 AB12345-BR… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 4 AB12345 AB12345-CH… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #> 5 AB12345 AB12345-CH… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #> 6 AB12345 AB12345-CH… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #> 7 AB12345 AB12345-US… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #> 8 AB12345 AB12345-US… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #> 9 AB12345 AB12345-US… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #> # ℹ 55 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, #> #   AP01SDTM <dttm>, AP01EDTM <dttm>, AP02SDTM <dttm>, AP02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radeg.html","id":null,"dir":"Reference","previous_headings":"","what":"ECG Analysis Dataset (ADEG) — radeg","title":"ECG Analysis Dataset (ADEG) — radeg","text":"Function generating random dataset ECG Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radeg.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"ECG Analysis Dataset (ADEG) — radeg","text":"","code":"radeg(   adsl,   egcat = c(\"INTERVAL\", \"INTERVAL\", \"MEASUREMENT\", \"FINDING\"),   param = c(\"QT Duration\", \"RR Duration\", \"Heart Rate\", \"ECG Interpretation\"),   paramcd = c(\"QT\", \"RR\", \"HR\", \"ECGINTP\"),   paramu = c(\"msec\", \"msec\", \"beats/min\", \"\"),   visit_format = \"WEEK\",   n_assessments = 5L,   n_days = 5L,   max_n_eg = 10L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(ABLFL = c(1235, 0.1), BASE = c(NA, 0.1), BASEC = c(NA, 0.1), CHG =     c(1234, 0.1), PCHG = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radeg.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"ECG Analysis Dataset (ADEG) — radeg","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). egcat (character vector) EG category values. param (character vector) Parameter values. paramcd (character vector) Parameter code values. paramu (character vector) Parameter unit values. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). max_n_eg (integer) Maximum number EG results per patient. Defaults 10. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADEG data cadeg returned new data generated. set TRUE arguments radeg ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radeg.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"ECG Analysis Dataset (ADEG) — radeg","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radeg.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"ECG Analysis Dataset (ADEG) — radeg","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, BASETYPE, AVISITN, ATPTN, DTYPE, ADTM, EGSEQ, ASPID","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radeg.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"ECG Analysis Dataset (ADEG) — radeg","text":"tomlinsj, npaszty, Xuefeng Hou, dipietrc","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radeg.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"ECG Analysis Dataset (ADEG) — radeg","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adeg <- radeg(adsl, visit_format = \"WEEK\", n_assessments = 7L, seed = 2) adeg #> # A tibble: 420 × 88 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 410 more rows #> # ℹ 77 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  adeg <- radeg(adsl, visit_format = \"CYCLE\", n_assessments = 2L, seed = 2) adeg #> # A tibble: 500 × 88 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 490 more rows #> # ℹ 77 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radex.html","id":null,"dir":"Reference","previous_headings":"","what":"Exposure Analysis Dataset (ADEX) — radex","title":"Exposure Analysis Dataset (ADEX) — radex","text":"Function generating random Exposure Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radex.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Exposure Analysis Dataset (ADEX) — radex","text":"","code":"radex(   adsl,   param = c(\"Dose administered during constant dosing interval\",     \"Number of doses administered during constant dosing interval\",     \"Total dose administered\", \"Total number of doses administered\"),   paramcd = c(\"DOSE\", \"NDOSE\", \"TDOSE\", \"TNDOSE\"),   paramu = c(\"mg\", \" \", \"mg\", \" \"),   parcat1 = c(\"INDIVIDUAL\", \"OVERALL\"),   parcat2 = c(\"Drug A\", \"Drug B\"),   visit_format = \"WEEK\",   n_assessments = 5L,   n_days = 5L,   max_n_exs = 6L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(AVAL = c(NA, 0.1), AVALU = c(NA), 0.1),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radex.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Exposure Analysis Dataset (ADEX) — radex","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. paramu (character vector) Parameter unit values. parcat1 (character vector) Dose amount categories. Defaults \"Individual\" \"Overall\". parcat2 (character vector) Types drug received. Defaults \"Drug \" \"Drug B\". visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). max_n_exs (integer) Maximum number exposures per patient. Defaults 6. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADEX data cadex returned new data generated. set TRUE arguments radex ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radex.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Exposure Analysis Dataset (ADEX) — radex","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radex.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Exposure Analysis Dataset (ADEX) — radex","text":"One record per record corresponding SDTM domain. Keys: STUDYID, USUBJID, EXSEQ, PARAMCD, PARCAT1, ASTDTM, AENDTM, ASTDY, AENDY, AVISITN, EXDOSFRQ, EXROUTE, VISIT, VISITDY, EXSTDTC, EXENDTC, EXSTDY, EXENDY","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radex.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Exposure Analysis Dataset (ADEX) — radex","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1)  adex <- radex(adsl, seed = 2) adex #> # A tibble: 160 × 79 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 150 more rows #> # ℹ 68 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radhy.html","id":null,"dir":"Reference","previous_headings":"","what":"Hy's Law Analysis Dataset (ADHY) — radhy","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"Function generating random Hy's Law Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radhy.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"","code":"radhy(   adsl,   param = c(\"TBILI <= 2 times ULN and ALT value category\",     \"TBILI > 2 times ULN and AST value category\",     \"TBILI > 2 times ULN and ALT value category\",     \"TBILI <= 2 times ULN and AST value category\",     \"TBILI > 2 times ULN and ALKPH <= 2 times ULN and ALT value category\",     \"TBILI > 2 times ULN and ALKPH <= 2 times ULN and AST value category\",     \"TBILI > 2 times ULN and ALKPH <= 5 times ULN and ALT value category\",     \"TBILI > 2 times ULN and ALKPH <= 5 times ULN and AST value category\",     \"TBILI <= 2 times ULN and two consecutive elevations of ALT in relation to ULN\",           \"TBILI > 2 times ULN and two consecutive elevations of AST in relation to ULN\",     \"TBILI <= 2 times ULN and two consecutive elevations of AST in relation to ULN\",     \"TBILI > 2 times ULN and two consecutive elevations of ALT in relation to ULN\",     \"TBILI > 2 times ULN and two consecutive elevations of ALT in relation to Baseline\",     \"TBILI <= 2 times ULN and two consecutive elevations of ALT in relation to Baseline\",     \"TBILI > 2 times ULN and two consecutive elevations of AST in relation to Baseline\",               \"TBILI <= 2 times ULN and two consecutive elevations of AST in relation to Baseline\",     \"ALT > 3 times ULN by Period\", \"AST > 3 times ULN by Period\",     \"ALT or AST > 3 times ULN by Period\", \"ALT > 3 times Baseline by Period\",     \"AST > 3 times Baseline by Period\", \"ALT or AST > 3 times Baseline by Period\"),   paramcd = c(\"BLAL\", \"BGAS\", \"BGAL\", \"BLAS\", \"BA2AL\", \"BA2AS\", \"BA5AL\", \"BA5AS\",     \"BL2AL2CU\", \"BG2AS2CU\", \"BL2AS2CU\", \"BG2AL2CU\", \"BG2AL2CB\", \"BL2AL2CB\", \"BG2AS2CB\",     \"BL2AS2CB\", \"ALTPULN\", \"ASTPULN\", \"ALTASTPU\", \"ALTPBASE\", \"ASTPBASE\", \"ALTASTPB\"),   seed = NULL,   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radhy.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. seed (numeric) Seed use reproducible random number generation. cached boolean whether cached ADHY data cadhy returned new data generated. set TRUE arguments radhy ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radhy.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radhy.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, AVISITN, ADTM, SRCSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radhy.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"wojciakw","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radhy.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adhy <- radhy(adsl, seed = 2) adhy #> # A tibble: 500 × 71 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 490 more rows #> # ℹ 60 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radlb.html","id":null,"dir":"Reference","previous_headings":"","what":"Laboratory Data Analysis Dataset (ADLB) — radlb","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"Function generating random Laboratory Data Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radlb.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"","code":"radlb(   adsl,   lbcat = c(\"CHEMISTRY\", \"CHEMISTRY\", \"IMMUNOLOGY\"),   param = c(\"Alanine Aminotransferase Measurement\", \"C-Reactive Protein Measurement\",     \"Immunoglobulin A Measurement\"),   paramcd = c(\"ALT\", \"CRP\", \"IGA\"),   paramu = c(\"U/L\", \"mg/L\", \"g/L\"),   aval_mean = c(18, 9, 2.9),   visit_format = \"WEEK\",   n_assessments = 5L,   n_days = 5L,   max_n_lbs = 10L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(LOQFL = c(NA, 0.1), ABLFL2 = c(1234, 0.1), ABLFL = c(1235, 0.1), BASE2 =     c(NA, 0.1), BASE = c(NA, 0.1), CHG2 = c(1235, 0.1), PCHG2 = c(1235, 0.1), CHG =     c(1234, 0.1), PCHG = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radlb.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). lbcat (character vector) LB category values. param (character vector) Parameter values. paramcd (character vector) Parameter code values. paramu (character vector) Parameter unit values. aval_mean (numeric vector) Mean values corresponding parameter. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). max_n_lbs (integer) Maximum number labs per patient. Defaults 10. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADLB data cadlb returned new data generated. set TRUE arguments radlb ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radlb.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radlb.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, BASETYPE, AVISITN, ATPTN, DTYPE, ADTM, LBSEQ, ASPID","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radlb.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"tomlinsj, npaszty, Xuefeng Hou","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radlb.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adlb <- radlb(adsl, visit_format = \"WEEK\", n_assessments = 7L, seed = 2) adlb #> # A tibble: 270 × 102 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 260 more rows #> # ℹ 91 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  adlb <- radlb(adsl, visit_format = \"CYCLE\", n_assessments = 2L, seed = 2) adlb #> # A tibble: 330 × 102 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 320 more rows #> # ℹ 91 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radmh.html","id":null,"dir":"Reference","previous_headings":"","what":"Medical History Analysis Dataset (ADMH) — radmh","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"Function generating random Medical History Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radmh.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"","code":"radmh(   adsl,   max_n_mhs = 10L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(MHBODSYS = c(NA, 0.1), MHDECOD = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radmh.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). max_n_mhs (integer) Maximum number MHs per patient. Defaults 10. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADMH data cadmh returned new data generated. set TRUE arguments radmh ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radmh.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radmh.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"One record per record corresponding SDTM domain. Keys: STUDYID, USUBJID, ASTDTM, MHSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radmh.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1)  admh <- radmh(adsl, seed = 2) admh #> # A tibble: 51 × 67 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  8 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 41 more rows #> # ℹ 56 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radpc.html","id":null,"dir":"Reference","previous_headings":"","what":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"Function generating random Pharmacokinetics Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radpc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"","code":"radpc(   adsl,   avalu = \"ug/mL\",   constants = c(D = 100, ka = 0.8, ke = 1),   duration = 2,   seed = NULL,   na_percentage = 0,   na_vars = list(AVAL = c(NA, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radpc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). avalu (character) Analysis value units. constants (character vector) Constant parameters used formulas creating analysis values. duration (numeric) Duration number days. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADPC data cadpc returned new data generated. set TRUE arguments radpc ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radpc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radpc.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"One record per study, subject, parameter, time point.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radpc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adpc <- radpc(adsl, seed = 2) adpc #> # A tibble: 180 × 72 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 170 more rows #> # ℹ 61 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  adpc <- radpc(adsl, seed = 2, duration = 3) adpc #> # A tibble: 206 × 72 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 196 more rows #> # ℹ 61 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radpp.html","id":null,"dir":"Reference","previous_headings":"","what":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"Function generating random Pharmacokinetics Parameters Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radpp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"","code":"radpp(   adsl,   ppcat = c(\"Plasma Drug X\", \"Plasma Drug Y\", \"Metabolite Drug X\", \"Metabolite Drug Y\"),   ppspec = c(\"Plasma\", \"Plasma\", \"Plasma\", \"Matrix of PD\", \"Matrix of PD\", \"Urine\",     \"Urine\", \"Urine\", \"Urine\"),   paramcd = c(\"AUCIFO\", \"CMAX\", \"CLO\", \"RMAX\", \"TON\", \"RENALCL\", \"RENALCLD\", \"RCAMINT\",     \"RCPCINT\"),   param = c(\"AUC Infinity Obs\", \"Max Conc\", \"Total CL Obs\", \"Time of Maximum Response\",     \"Time to Onset\", \"Renal CL\", \"Renal CL Norm by Dose\", \"Amt Rec from T1 to T2\",     \"Pct Rec from T1 to T2\"),   paramu = c(\"day*ug/mL\", \"ug/mL\", \"ml/day/kg\", \"hr\", \"hr\", \"L/hr\", \"L/hr/mg\", \"mg\",     \"%\"),   aval_mean = c(200, 30, 5, 10, 3, 0.05, 0.005, 1.5613, 15.65),   visit_format = \"CYCLE\",   n_days = 2L,   seed = NULL,   na_percentage = 0,   na_vars = list(AVAL = c(NA, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radpp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). ppcat (character vector) Categories parameters. ppspec (character vector) Specimen material types. paramcd (character vector) Parameter code values. param (character vector) Parameter values. paramu (character vector) Parameter unit values. aval_mean (numeric vector) Mean values corresponding parameter. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_days (integer) Number days cycle (used visit_format \"CYCLE\"). seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADPP data cadpp returned new data generated. set TRUE arguments radpp ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radpp.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radpp.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"One record per study, subject, parameter category, parameter visit.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radpp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adpp <- radpp(adsl, seed = 2) adpp #>     STUDYID             USUBJID SUBJID SITEID AGE  AGEU SEX #> 1   AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 2   AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 3   AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 4   AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 5   AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 6   AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 7   AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 8   AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 9   AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 10  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 11  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 12  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 13  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 14  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 15  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 16  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 17  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 18  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 19  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 20  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 21  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 22  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 23  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 24  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 25  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 26  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 27  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 28  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 29  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 30  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 31  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 32  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 33  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 34  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 35  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 36  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 37  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 38  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 39  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 40  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 41  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 42  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 43  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 44  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 45  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 46  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 47  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 48  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 49  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 50  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 51  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 52  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 53  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 54  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 55  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 56  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 57  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 58  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 59  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 60  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 61  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 62  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 63  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 64  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 65  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 66  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 67  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 68  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 69  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 70  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 71  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 72  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 73  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 74  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 75  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 76  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 77  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 78  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 79  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 80  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 81  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 82  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 83  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 84  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 85  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 86  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 87  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 88  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 89  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 90  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 91  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 92  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 93  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 94  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 95  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 96  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 97  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 98  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 99  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 100 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 101 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 102 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 103 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 104 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 105 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 106 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 107 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 108 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 109 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 110 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 111 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 112 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 113 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 114 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 115 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 116 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 117 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 118 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 119 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 120 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 121 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 122 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 123 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 124 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 125 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 126 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 127 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 128 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 129 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 130 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 131 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 132 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 133 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 134 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 135 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 136 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 137 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 138 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 139 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 140 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 141 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 142 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 143 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 144 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 145 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 146 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 147 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 148 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 149 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 150 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 151 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 152 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 153 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 154 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 155 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 156 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 157 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 158 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 159 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 160 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 161 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 162 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 163 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 164 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 165 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 166 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 167 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 168 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 169 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 170 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 171 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 172 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 173 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 174 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 175 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 176 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 177 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 178 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 179 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 180 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 181 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 182 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 183 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 184 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 185 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 186 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 187 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 188 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 189 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 190 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 191 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 192 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 193 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 194 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 195 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 196 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 197 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 198 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 199 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 200 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 201 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 202 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 203 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 204 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 205 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 206 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 207 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 208 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 209 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 210 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 211 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 212 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 213 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 214 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 215 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 216 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 217 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 218 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 219 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 220 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 221 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 222 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 223 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 224 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 225 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 226 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 227 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 228 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 229 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 230 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 231 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 232 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 233 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 234 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 235 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 236 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 237 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 238 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 239 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 240 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 241 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 242 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 243 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 244 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 245 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 246 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 247 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 248 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 249 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 250 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 251 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 252 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 253 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 254 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 255 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 256 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 257 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 258 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 259 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 260 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 261 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 262 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 263 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 264 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 265 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 266 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 267 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 268 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 269 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 270 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 271 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 272 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 273 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 274 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 275 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 276 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 277 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 278 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 279 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 280 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 281 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 282 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 283 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 284 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 285 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 286 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 287 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 288 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 289 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 290 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 291 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 292 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 293 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 294 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 295 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 296 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 297 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 298 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 299 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 300 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 301 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 302 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 303 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 304 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 305 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 306 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 307 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 308 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 309 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 310 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 311 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 312 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 313 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 314 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 315 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 316 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 317 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 318 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 319 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 320 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 321 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 322 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 323 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 324 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 325 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 326 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 327 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 328 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 329 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 330 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 331 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 332 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 333 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 334 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 335 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 336 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 337 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 338 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 339 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 340 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 341 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 342 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 343 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 344 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 345 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 346 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 347 AB12345  AB12345-RUS-1-id-6  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AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 364 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 365 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 366 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 367 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 368 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 369 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 370 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 371 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 372 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 373 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 374 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 375 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 376 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 377 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 378 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 379 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 380 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 381 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 382 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 383 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 384 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 385 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 386 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 387 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 388 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 389 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 390 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 391 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 392 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 393 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 394 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 395 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 396 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 397 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 398 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 399 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 400 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 401 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 402 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 403 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 404 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 405 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 406 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 407 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 408 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 409 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 410 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 411 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 412 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 413 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 414 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 415 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 416 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 417 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 418 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 419 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 420 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 421 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 422 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 423 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 424 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 425 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 426 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 427 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 428 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 429 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 430 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 431 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 432 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 433 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 434 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 435 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 436 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 437 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 438 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 439 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 440 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 441 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 442 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 443 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 444 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 445 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 446 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 447 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 448 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 449 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 450 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 451 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 452 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 453 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 454 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 455 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 456 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 457 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 458 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 459 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 460 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 461 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 462 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 463 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 464 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 465 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 466 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 467 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 468 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 469 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 470 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 471 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 472 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 473 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 474 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 475 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 476 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 477 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 478 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 479 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 480 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 481 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 482 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 483 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 484 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 485 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 486 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 487 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 488 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 489 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 490 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 491 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 492 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 493 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 494 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 495 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 496 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 497 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 498 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 499 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 500 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 501 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 502 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 503 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 504 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 505 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 506 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 507 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 508 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 509 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 510 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 511 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 512 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 513 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 514 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 515 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 516 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 517 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 518 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 519 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 520 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 521 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 522 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 523 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 524 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 525 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 526 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 527 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 528 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 529 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 530 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 531 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 532 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 533 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 534 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 535 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 536 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 537 AB12345  AB12345-RUS-1-id-6  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AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 554 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 555 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 556 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 557 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 558 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 559 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 560 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 561 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 562 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 563 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 564 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 565 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 566 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 567 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 568 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 569 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 570 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 571 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 572 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 573 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 574 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 575 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 576 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 577 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 578 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 579 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 580 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 581 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 582 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 583 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 584 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 585 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 586 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 587 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 588 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 589 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 590 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 591 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 592 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 593 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 594 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 595 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 596 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 597 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 598 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 599 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 600 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 601 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 602 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 603 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 604 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 605 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 606 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 607 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 608 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 609 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 610 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 611 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 612 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 613 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 614 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 615 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 616 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 617 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 618 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 619 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 620 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 621 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 622 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 623 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 624 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 625 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 626 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 627 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 628 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 629 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 630 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 631 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 632 AB12345  AB12345-CHN-3-id-5  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AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 649 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 650 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 651 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 652 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 653 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 654 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 655 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 656 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 657 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 658 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 659 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 660 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #>                                 RACE                 ETHNIC COUNTRY DTHFL #> 1                              ASIAN NOT HISPANIC OR LATINO     JPN     N #> 2   AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 3                              ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 4          BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 5                              WHITE NOT HISPANIC OR LATINO     CHN     Y #> 6                              ASIAN NOT HISPANIC OR LATINO     CHN     N #> 7                              ASIAN NOT HISPANIC OR LATINO     RUS     N #> 8          BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 9                              WHITE NOT HISPANIC OR LATINO     CHN     Y #> 10         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 11                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 12  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 13                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 14         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 15                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 16                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 17                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 18         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 19                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 20         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 21                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 22  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 23                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 24         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 25                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 26                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 27                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 28         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 29                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 30         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 31                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 32  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 33                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 34         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 35                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 36                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 37                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 38         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 39                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 40         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 41                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 42  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 43                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 44         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 45                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 46                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 47                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 48         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 49                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 50         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 51                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 52  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 53                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 54         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 55                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 56                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 57                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 58         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 59                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 60         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 61                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 62  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 63                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 64         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 65                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 66                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 67                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 68         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 69                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 70         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 71                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 72  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 73                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 74         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 75                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 76                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 77                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 78         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 79                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 80         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 81                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 82  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 83                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 84         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 85                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 86                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 87                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 88         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 89                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 90         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 91                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 92  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 93                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 94         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 95                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 96                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 97                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 98         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 99                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 100        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 101                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 102 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 103                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 104        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 105                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 106                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 107                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 108        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 109                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 110        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 111                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 112 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 113                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 114        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 115                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 116                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 117                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 118        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 119                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 120        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 121                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 122 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 123                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 124        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 125                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 126                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 127                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 128        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 129                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 130        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 131                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 132 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 133                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 134        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 135                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 136                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 137                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 138        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 139                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 140        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 141                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 142                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 143 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 144 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 145                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 146                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 147        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 148        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 149                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 150                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 151                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 152                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 153                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 154                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 155        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 156        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 157                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 158                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 159        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 160        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 161                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 162                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 163 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 164 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 165                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 166                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 167        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 168        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 169                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 170                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 171                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 172                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 173                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 174                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 175        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 176        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 177                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 178                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 179        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 180        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 181                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 182                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 183 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 184 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 185                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 186                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 187        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 188        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 189                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 190                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 191                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 192                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 193                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 194                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 195        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 196        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 197                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 198                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 199        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 200        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 201                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 202                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 203 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 204 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 205                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 206                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 207        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 208        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 209                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 210                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 211                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 212                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 213                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 214                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 215        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 216        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 217                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 218                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 219        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 220        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 221                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 222 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 223                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 224        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 225                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 226                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 227                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 228        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 229                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 230        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 231                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 232 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 233                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 234        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 235                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 236                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 237                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 238        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 239                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 240        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 241                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 242 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 243                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 244        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 245                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 246                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 247                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 248        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 249                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 250        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 251                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 252 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 253                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 254        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 255                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 256                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 257                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 258        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 259                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 260        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 261                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 262 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 263                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 264        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 265                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 266                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 267                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 268        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 269                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 270        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 271                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 272 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 273                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 274        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 275                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 276                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 277                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 278        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 279                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 280        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 281                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 282 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 283                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 284        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 285                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 286                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 287                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 288        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 289                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 290        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 291                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 292 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 293                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 294        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 295                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 296                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 297                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 298        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 299                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 300        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 301                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 302 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 303                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 304        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 305                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 306                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 307                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 308        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 309                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 310        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 311                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 312 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 313                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 314        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 315                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 316                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 317                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 318        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 319                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 320        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 321                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 322 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 323                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 324        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 325                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 326                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 327                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 328        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 329                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 330        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 331                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 332 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 333                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 334        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 335                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 336                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 337                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 338        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 339                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 340        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 341                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 342 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 343                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 344        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 345                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 346                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 347                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 348        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 349                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 350        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 351                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 352 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 353                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 354        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 355                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 356                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 357                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 358        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 359                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 360        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 361                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 362                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 363 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 364 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 365                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 366                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 367        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 368        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 369                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 370                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 371                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 372                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 373                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 374                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 375        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 376        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 377                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 378                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 379        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 380        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 381                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 382                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 383 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 384 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 385                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 386                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 387        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 388        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 389                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 390                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 391                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 392                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 393                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 394                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 395        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 396        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 397                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 398                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 399        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 400        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 401                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 402                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 403 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 404 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 405                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 406                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 407        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 408        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 409                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 410                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 411                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 412                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 413                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 414                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 415        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 416        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 417                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 418                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 419        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 420        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 421                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 422                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 423 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 424 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 425                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 426                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 427        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 428        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 429                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 430                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 431                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 432                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 433                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 434                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 435        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 436        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 437                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 438                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 439        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 440        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 441                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 442 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 443                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 444        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 445                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 446                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 447                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 448        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 449                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 450        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 451                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 452 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 453                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 454        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 455                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 456                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 457                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 458        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 459                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 460        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 461                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 462 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 463                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 464        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 465                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 466                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 467                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 468        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 469                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 470        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 471                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 472 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 473                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 474        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 475                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 476                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 477                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 478        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 479                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 480        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 481                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 482 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 483                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 484        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 485                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 486                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 487                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 488        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 489                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 490        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 491                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 492 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 493                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 494        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 495                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 496                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 497                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 498        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 499                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 500        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 501                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 502 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 503                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 504        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 505                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 506                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 507                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 508        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 509                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 510        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 511                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 512 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 513                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 514        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 515                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 516                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 517                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 518        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 519                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 520        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 521                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 522 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 523                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 524        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 525                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 526                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 527                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 528        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 529                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 530        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 531                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 532 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 533                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 534        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 535                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 536                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 537                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 538        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 539                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 540        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 541                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 542 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 543                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 544        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 545                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 546                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 547                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 548        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 549                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 550        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 551                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 552 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 553                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 554        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 555                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 556                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 557                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 558        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 559                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 560        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 561                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 562 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 563                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 564        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 565                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 566                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 567                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 568        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 569                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 570        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 571                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 572 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 573                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 574        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 575                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 576                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 577                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 578        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 579                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 580        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 581                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 582                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 583 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 584 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 585                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 586                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 587        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 588        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 589                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 590                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 591                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 592                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 593                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 594                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 595        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 596        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 597                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 598                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 599        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 600        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 601                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 602                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 603 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 604 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 605                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 606                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 607        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 608        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 609                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 610                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 611                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 612                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 613                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 614                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 615        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 616        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 617                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 618                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 619        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 620        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 621                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 622                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 623 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 624 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 625                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 626                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 627        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 628        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 629                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 630                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 631                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 632                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 633                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 634                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 635        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 636        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 637                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 638                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 639        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 640        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 641                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 642                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 643 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 644 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 645                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 646                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 647        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 648        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 649                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 650                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 651                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 652                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 653                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 654                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 655        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 656        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 657                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 658                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 659        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 660        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #>             INVID         INVNAM            ARM ARMCD         ACTARM ACTARMCD #> 1    INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 2   INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 3    INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 4   INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 5   INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 6    INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 7    INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 8    INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 9   INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 10   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 11   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 12  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 13   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 14  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 15  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 16   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 17   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 18   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 19  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 20   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 21   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 22  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 23   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 24  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 25  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 26   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 27   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 28   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 29  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 30   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 31   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 32  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 33   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 34  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 35  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 36   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 37   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 38   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 39  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 40   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 41   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 42  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 43   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 44  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 45  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 46   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 47   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 48   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 49  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 50   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 51   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 52  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 53   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 54  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 55  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 56   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 57   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 58   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 59  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 60   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 61   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 62  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 63   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 64  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 65  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 66   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 67   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 68   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 69  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 70   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 71   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 72  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 73   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 74  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 75  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 76   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 77   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 78   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 79  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 80   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 81   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 82  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 83   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 84  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 85  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 86   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 87   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 88   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 89  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 90   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 91   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 92  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 93   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 94  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 95  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 96   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 97   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 98   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 99  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 100  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 101  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 102 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 103  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 104 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 105 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 106  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 107  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 108  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 109 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 110  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 111  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 112 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 113  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 114 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 115 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 116  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 117  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 118  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 119 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 120  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 121  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 122 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 123  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 124 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 125 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 126  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 127  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 128  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 129 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 130  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 131  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 132 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 133  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 134 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 135 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 136  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 137  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 138  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 139 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 140  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 141  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 142  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 143 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 144 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 145  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 146  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 147 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 148 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 149 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 150 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 151  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 152  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 153  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 154  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 155  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 156  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 157 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 158 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 159  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 160  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 161  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 162  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 163 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 164 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 165  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 166  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 167 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 168 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 169 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 170 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 171  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 172  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 173  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 174  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 175  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 176  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 177 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 178 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 179  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 180  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 181  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 182  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 183 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 184 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 185  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 186  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 187 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 188 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 189 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 190 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 191  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 192  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 193  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 194  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 195  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 196  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 197 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 198 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 199  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 200  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 201  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 202  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 203 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 204 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 205  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 206  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 207 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 208 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 209 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 210 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 211  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 212  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 213  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 214  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 215  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 216  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 217 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 218 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 219  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 220  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 221  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 222 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 223  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 224 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 225 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 226  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 227  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 228  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 229 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 230  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 231  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 232 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 233  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 234 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 235 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 236  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 237  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 238  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 239 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 240  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 241  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 242 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 243  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 244 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 245 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 246  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 247  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 248  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 249 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 250  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 251  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 252 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 253  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 254 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 255 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 256  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 257  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 258  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 259 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 260  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 261  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 262 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 263  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 264 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 265 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 266  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 267  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 268  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 269 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 270  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 271  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 272 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 273  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 274 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 275 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 276  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 277  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 278  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 279 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 280  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 281  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 282 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 283  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 284 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 285 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 286  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 287  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 288  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 289 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 290  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 291  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 292 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 293  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 294 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 295 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 296  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 297  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 298  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 299 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 300  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 301  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 302 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 303  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 304 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 305 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 306  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 307  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 308  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 309 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 310  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 311  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 312 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 313  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 314 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 315 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 316  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 317  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 318  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 319 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 320  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 321  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 322 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 323  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 324 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 325 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 326  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 327  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 328  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 329 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 330  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 331  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 332 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 333  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 334 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 335 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 336  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 337  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 338  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 339 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 340  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 341  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 342 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 343  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 344 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 345 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 346  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 347  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 348  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 349 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 350  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 351  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 352 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 353  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 354 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 355 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 356  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 357  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 358  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 359 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 360  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 361  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 362  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 363 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 364 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 365  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 366  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 367 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 368 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 369 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 370 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 371  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 372  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 373  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 374  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 375  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 376  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 377 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 378 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 379  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 380  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 381  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 382  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 383 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 384 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 385  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 386  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 387 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 388 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 389 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 390 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 391  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 392  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 393  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 394  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 395  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 396  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 397 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 398 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 399  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 400  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 401  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 402  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 403 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 404 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 405  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 406  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 407 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 408 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 409 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 410 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 411  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 412  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 413  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 414  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 415  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 416  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 417 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 418 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 419  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 420  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 421  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 422  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 423 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 424 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 425  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 426  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 427 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 428 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 429 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 430 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 431  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 432  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 433  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 434  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 435  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 436  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 437 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 438 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 439  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 440  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 441  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 442 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 443  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 444 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 445 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 446  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 447  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 448  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 449 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 450  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 451  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 452 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 453  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 454 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 455 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 456  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 457  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 458  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 459 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 460  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 461  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 462 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 463  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 464 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 465 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 466  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 467  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 468  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 469 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 470  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 471  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 472 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 473  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 474 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 475 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 476  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 477  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 478  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 479 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 480  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 481  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 482 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 483  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 484 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 485 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 486  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 487  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 488  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 489 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 490  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 491  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 492 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 493  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 494 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 495 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 496  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 497  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 498  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 499 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 500  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 501  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 502 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 503  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 504 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 505 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 506  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 507  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 508  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 509 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 510  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 511  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 512 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 513  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 514 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 515 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 516  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 517  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 518  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 519 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 520  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 521  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 522 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 523  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 524 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 525 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 526  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 527  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 528  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 529 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 530  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 531  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 532 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 533  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 534 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 535 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 536  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 537  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 538  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 539 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 540  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 541  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 542 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 543  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 544 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 545 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 546  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 547  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 548  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 549 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 550  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 551  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 552 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 553  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 554 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 555 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 556  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 557  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 558  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 559 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 560  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 561  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 562 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 563  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 564 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 565 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 566  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 567  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 568  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 569 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 570  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 571  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 572 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 573  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 574 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 575 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 576  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 577  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 578  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 579 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 580  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 581  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 582  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 583 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 584 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 585  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 586  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 587 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 588 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 589 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 590 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 591  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 592  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 593  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 594  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 595  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 596  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 597 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 598 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 599  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 600  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 601  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 602  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 603 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 604 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 605  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 606  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 607 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 608 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 609 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 610 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 611  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 612  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 613  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 614  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 615  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 616  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 617 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 618 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 619  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 620  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 621  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 622  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 623 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 624 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 625  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 626  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 627 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 628 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 629 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 630 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 631  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 632  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 633  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 634  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 635  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 636  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 637 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 638 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 639  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 640  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 641  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 642  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 643 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 644 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 645  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 646  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 647 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 648 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 649 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 650 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 651  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 652  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 653  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 654  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 655  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 656  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 657 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 658 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 659  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 660  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #>             TRT01P         TRT01A         TRT02P         TRT02A       REGION1 #> 1        A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 2        A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 3        A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 4        A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 5   C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 6        A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 7        A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 8   C: Combination C: Combination      A: Drug X C: Combination South America #> 9   C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 10  C: Combination C: Combination      A: Drug X C: Combination South America #> 11       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 12       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 13       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 14       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 15  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 16       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 17       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 18  C: Combination C: Combination      A: Drug X C: Combination South America #> 19  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 20  C: Combination C: Combination      A: Drug X C: Combination South America #> 21       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 22       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 23       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 24       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 25  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 26       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 27       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 28  C: Combination C: Combination      A: Drug X C: Combination South America #> 29  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 30  C: Combination C: Combination      A: Drug X C: Combination South America #> 31       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 32       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 33       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 34       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 35  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 36       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 37       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 38  C: Combination C: Combination      A: Drug X C: Combination South America #> 39  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 40  C: Combination C: Combination      A: Drug X C: Combination South America #> 41       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 42       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 43       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 44       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 45  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 46       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 47       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 48  C: Combination C: Combination      A: Drug X C: Combination South America #> 49  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 50  C: Combination C: Combination      A: Drug X C: Combination South America #> 51       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 52       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 53       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 54       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 55  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 56       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 57       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 58  C: Combination C: Combination      A: Drug X C: Combination South America #> 59  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 60  C: Combination C: Combination      A: Drug X C: Combination South America #> 61       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 62       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 63       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 64       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 65  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 66       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 67       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 68  C: Combination C: Combination      A: Drug X C: Combination South America #> 69  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 70  C: Combination C: Combination      A: Drug X C: Combination South America #> 71       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 72       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 73       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 74       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 75  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 76       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 77       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 78  C: Combination C: Combination      A: Drug X C: Combination South America #> 79  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 80  C: Combination C: Combination      A: Drug X C: Combination South America #> 81       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 82       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 83       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 84       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 85  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 86       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 87       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 88  C: Combination C: Combination      A: Drug X C: Combination South America #> 89  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 90  C: Combination C: Combination      A: Drug X C: Combination South America #> 91       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 92       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 93       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 94       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 95  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 96       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 97       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 98  C: Combination C: Combination      A: Drug X C: Combination South America #> 99  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 100 C: Combination C: Combination      A: Drug X C: Combination South America #> 101      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 102      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 103      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 104      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 105 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 106      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 107      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 108 C: Combination C: Combination      A: Drug X C: Combination South America #> 109 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 110 C: Combination C: Combination      A: Drug X C: Combination South America #> 111      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 112      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 113      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 114      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 115 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 116      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 117      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 118 C: Combination C: Combination      A: Drug X C: Combination South America #> 119 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 120 C: Combination C: Combination      A: Drug X C: Combination South America #> 121      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 122      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 123      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 124      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 125 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 126      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 127      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 128 C: Combination C: Combination      A: Drug X C: Combination South America #> 129 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 130 C: Combination C: Combination      A: Drug X C: Combination South America #> 131      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 132      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 133      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 134      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 135 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 136      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 137      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 138 C: Combination C: Combination      A: Drug X C: Combination South America #> 139 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 140 C: Combination C: Combination      A: Drug X C: Combination South America #> 141      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 142      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 143      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 144      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 145      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 146      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 147      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 148      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 149 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 150 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 151      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 152      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 153      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 154      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 155 C: Combination C: Combination      A: Drug X C: Combination South America #> 156 C: Combination C: Combination      A: Drug X C: Combination South America #> 157 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 158 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 159 C: Combination C: Combination      A: Drug X C: Combination South America #> 160 C: Combination C: Combination      A: Drug X C: Combination South America #> 161      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 162      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 163      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 164      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 165      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 166      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 167      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 168      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 169 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 170 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 171      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 172      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 173      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 174      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 175 C: Combination C: Combination      A: Drug X C: Combination South America #> 176 C: Combination C: Combination      A: Drug X C: Combination South America #> 177 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 178 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 179 C: Combination C: Combination      A: Drug X C: Combination South America #> 180 C: Combination C: Combination      A: Drug X C: Combination South America #> 181      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 182      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 183      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 184      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 185      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 186      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 187      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 188      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 189 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 190 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 191      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 192      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 193      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 194      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 195 C: Combination C: Combination      A: Drug X C: Combination South America #> 196 C: Combination C: Combination      A: Drug X C: Combination South America #> 197 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 198 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 199 C: Combination C: Combination      A: Drug X C: Combination South America #> 200 C: Combination C: Combination      A: Drug X C: Combination South America #> 201      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 202      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 203      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 204      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 205      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 206      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 207      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 208      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 209 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 210 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 211      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 212      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 213      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 214      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 215 C: Combination C: Combination      A: Drug X C: Combination South America #> 216 C: Combination C: Combination      A: Drug X C: Combination South America #> 217 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 218 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 219 C: Combination C: Combination      A: Drug X C: Combination South America #> 220 C: Combination C: Combination      A: Drug X C: Combination South America #> 221      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 222      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 223      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 224      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 225 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 226      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 227      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 228 C: Combination C: Combination      A: Drug X C: Combination South America #> 229 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 230 C: Combination C: Combination      A: Drug X C: Combination South America #> 231      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 232      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 233      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 234      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 235 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 236      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 237      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 238 C: Combination C: Combination      A: Drug X C: Combination South America #> 239 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 240 C: Combination C: Combination      A: Drug X C: Combination South America #> 241      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 242      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 243      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 244      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 245 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 246      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 247      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 248 C: Combination C: Combination      A: Drug X C: Combination South America #> 249 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 250 C: Combination C: Combination      A: Drug X C: Combination South America #> 251      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 252      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 253      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 254      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 255 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 256      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 257      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 258 C: Combination C: Combination      A: Drug X C: Combination South America #> 259 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 260 C: Combination C: Combination      A: Drug X C: Combination South America #> 261      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 262      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 263      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 264      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 265 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 266      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 267      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 268 C: Combination C: Combination      A: Drug X C: Combination South America #> 269 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 270 C: Combination C: Combination      A: Drug X C: Combination South America #> 271      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 272      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 273      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 274      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 275 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 276      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 277      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 278 C: Combination C: Combination      A: Drug X C: Combination South America #> 279 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 280 C: Combination C: Combination      A: Drug X C: Combination South America #> 281      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 282      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 283      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 284      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 285 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 286      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 287      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 288 C: Combination C: Combination      A: Drug X C: Combination South America #> 289 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 290 C: Combination C: Combination      A: Drug X C: Combination South America #> 291      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 292      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 293      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 294      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 295 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 296      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 297      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 298 C: Combination C: Combination      A: Drug X C: Combination South America #> 299 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 300 C: Combination C: Combination      A: Drug X C: Combination South America #> 301      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 302      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 303      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 304      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 305 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 306      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 307      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 308 C: Combination C: Combination      A: Drug X C: Combination South America #> 309 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 310 C: Combination C: Combination      A: Drug X C: Combination South America #> 311      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 312      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 313      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 314      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 315 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 316      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 317      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 318 C: Combination C: Combination      A: Drug X C: Combination South America #> 319 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 320 C: Combination C: Combination      A: Drug X C: Combination South America #> 321      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 322      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 323      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 324      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 325 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 326      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 327      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 328 C: Combination C: Combination      A: Drug X C: Combination South America #> 329 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 330 C: Combination C: Combination      A: Drug X C: Combination South America #> 331      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 332      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 333      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 334      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 335 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 336      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 337      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 338 C: Combination C: Combination      A: Drug X C: Combination South America #> 339 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 340 C: Combination C: Combination      A: Drug X C: Combination South America #> 341      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 342      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 343      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 344      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 345 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 346      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 347      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 348 C: Combination C: Combination      A: Drug X C: Combination South America #> 349 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 350 C: Combination C: Combination      A: Drug X C: Combination South America #> 351      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 352      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 353      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 354      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 355 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 356      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 357      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 358 C: Combination C: Combination      A: Drug X C: Combination South America #> 359 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 360 C: Combination C: Combination      A: Drug X C: Combination South America #> 361      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 362      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 363      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 364      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 365      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 366      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 367      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 368      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 369 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 370 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 371      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 372      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 373      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 374      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 375 C: Combination C: Combination      A: Drug X C: Combination South America #> 376 C: Combination C: Combination      A: Drug X C: Combination South America #> 377 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 378 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 379 C: Combination C: Combination      A: Drug X C: Combination South America #> 380 C: Combination C: Combination      A: Drug X C: Combination South America #> 381      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 382      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 383      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 384      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 385      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 386      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 387      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 388      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 389 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 390 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 391      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 392      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 393      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 394      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 395 C: Combination C: Combination      A: Drug X C: Combination South America #> 396 C: Combination C: Combination      A: Drug X C: Combination South America #> 397 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 398 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 399 C: Combination C: Combination      A: Drug X C: Combination South America #> 400 C: Combination C: Combination      A: Drug X C: Combination South America #> 401      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 402      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 403      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 404      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 405      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 406      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 407      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 408      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 409 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 410 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 411      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 412      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 413      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 414      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 415 C: Combination C: Combination      A: Drug X C: Combination South America #> 416 C: Combination C: Combination      A: Drug X C: Combination South America #> 417 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 418 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 419 C: Combination C: Combination      A: Drug X C: Combination South America #> 420 C: Combination C: Combination      A: Drug X C: Combination South America #> 421      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 422      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 423      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 424      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 425      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 426      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 427      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 428      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 429 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 430 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 431      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 432      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 433      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 434      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 435 C: Combination C: Combination      A: Drug X C: Combination South America #> 436 C: Combination C: Combination      A: Drug X C: Combination South America #> 437 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 438 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 439 C: Combination C: Combination      A: Drug X C: Combination South America #> 440 C: Combination C: Combination      A: Drug X C: Combination South America #> 441      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 442      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 443      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 444      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 445 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 446      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 447      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 448 C: Combination C: Combination      A: Drug X C: Combination South America #> 449 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 450 C: Combination C: Combination      A: Drug X C: Combination South America #> 451      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 452      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 453      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 454      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 455 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 456      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 457      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 458 C: Combination C: Combination      A: Drug X C: Combination South America #> 459 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 460 C: Combination C: Combination      A: Drug X C: Combination South America #> 461      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 462      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 463      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 464      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 465 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 466      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 467      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 468 C: Combination C: Combination      A: Drug X C: Combination South America #> 469 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 470 C: Combination C: Combination      A: Drug X C: Combination South America #> 471      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 472      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 473      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 474      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 475 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 476      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 477      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 478 C: Combination C: Combination      A: Drug X C: Combination South America #> 479 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 480 C: Combination C: Combination      A: Drug X C: Combination South America #> 481      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 482      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 483      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 484      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 485 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 486      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 487      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 488 C: Combination C: Combination      A: Drug X C: Combination South America #> 489 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 490 C: Combination C: Combination      A: Drug X C: Combination South America #> 491      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 492      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 493      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 494      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 495 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 496      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 497      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 498 C: Combination C: Combination      A: Drug X C: Combination South America #> 499 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 500 C: Combination C: Combination      A: Drug X C: Combination South America #> 501      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 502      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 503      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 504      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 505 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 506      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 507      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 508 C: Combination C: Combination      A: Drug X C: Combination South America #> 509 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 510 C: Combination C: Combination      A: Drug X C: Combination South America #> 511      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 512      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 513      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 514      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 515 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 516      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 517      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 518 C: Combination C: Combination      A: Drug X C: Combination South America #> 519 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 520 C: Combination C: Combination      A: Drug X C: Combination South America #> 521      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 522      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 523      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 524      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 525 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 526      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 527      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 528 C: Combination C: Combination      A: Drug X C: Combination South America #> 529 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 530 C: Combination C: Combination      A: Drug X C: Combination South America #> 531      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 532      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 533      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 534      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 535 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 536      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 537      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 538 C: Combination C: Combination      A: Drug X C: Combination South America #> 539 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 540 C: Combination C: Combination      A: Drug X C: Combination South America #> 541      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 542      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 543      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 544      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 545 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 546      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 547      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 548 C: Combination C: Combination      A: Drug X C: Combination South America #> 549 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 550 C: Combination C: Combination      A: Drug X C: Combination South America #> 551      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 552      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 553      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 554      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 555 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 556      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 557      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 558 C: Combination C: Combination      A: Drug X C: Combination South America #> 559 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 560 C: Combination C: Combination      A: Drug X C: Combination South America #> 561      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 562      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 563      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 564      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 565 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 566      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 567      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 568 C: Combination C: Combination      A: Drug X C: Combination South America #> 569 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 570 C: Combination C: Combination      A: Drug X C: Combination South America #> 571      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 572      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 573      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 574      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 575 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 576      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 577      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 578 C: Combination C: Combination      A: Drug X C: Combination South America #> 579 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 580 C: Combination C: Combination      A: Drug X C: Combination South America #> 581      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 582      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 583      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 584      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 585      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 586      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 587      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 588      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 589 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 590 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 591      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 592      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 593      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 594      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 595 C: Combination C: Combination      A: Drug X C: Combination South America #> 596 C: Combination C: Combination      A: Drug X C: Combination South America #> 597 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 598 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 599 C: Combination C: Combination      A: Drug X C: Combination South America #> 600 C: Combination C: Combination      A: Drug X C: Combination South America #> 601      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 602      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 603      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 604      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 605      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 606      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 607      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 608      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 609 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 610 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 611      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 612      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 613      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 614      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 615 C: Combination C: Combination      A: Drug X C: Combination South America #> 616 C: Combination C: Combination      A: Drug X C: Combination South America #> 617 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 618 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 619 C: Combination C: Combination      A: Drug X C: Combination South America #> 620 C: Combination C: Combination      A: Drug X C: Combination South America #> 621      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 622      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 623      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 624      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 625      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 626      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 627      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 628      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 629 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 630 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 631      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 632      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 633      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 634      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 635 C: Combination C: Combination      A: Drug X C: Combination South America #> 636 C: Combination C: Combination      A: Drug X C: Combination South America #> 637 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 638 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 639 C: Combination C: Combination      A: Drug X C: Combination South America #> 640 C: Combination C: Combination      A: Drug X C: Combination South America #> 641      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 642      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 643      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 644      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 645      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 646      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 647      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 648      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 649 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 650 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 651      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 652      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 653      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 654      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 655 C: Combination C: Combination      A: Drug X C: Combination South America #> 656 C: Combination C: Combination      A: Drug X C: Combination South America #> 657 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 658 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 659 C: Combination C: Combination      A: Drug X C: Combination South America #> 660 C: Combination C: Combination      A: Drug X C: Combination South America #>     STRATA1 STRATA2    BMRKR1 BMRKR2 ITTFL SAFFL BMEASIFL BEP01FL AEWITHFL #> 1         B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 2         C      S1  7.254058    LOW     Y     Y        Y       N        N #> 3         B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 4         C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 5         B      S1  8.926907    LOW     Y     Y        N       N        N #> 6         A      S2  2.619796    LOW     Y     Y        Y       N        N #> 7         B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 8         A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 9         B      S1  8.926907    LOW     Y     Y        N       N        N #> 10        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 11        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 12        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 13        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 14        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 15        B      S1  8.926907    LOW     Y     Y        N       N        N #> 16        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 17        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 18        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 19        B      S1  8.926907    LOW     Y     Y        N       N        N #> 20        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 21        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 22        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 23        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 24        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 25        B      S1  8.926907    LOW     Y     Y        N       N        N #> 26        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 27        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 28        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 29        B      S1  8.926907    LOW     Y     Y        N       N        N #> 30        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 31        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 32        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 33        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 34        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 35        B      S1  8.926907    LOW     Y     Y        N       N        N #> 36        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 37        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 38        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 39        B      S1  8.926907    LOW     Y     Y        N       N        N #> 40        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 41        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 42        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 43        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 44        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 45        B      S1  8.926907    LOW     Y     Y        N       N        N #> 46        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 47        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 48        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 49        B      S1  8.926907    LOW     Y     Y        N       N        N #> 50        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 51        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 52        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 53        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 54        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 55        B      S1  8.926907    LOW     Y     Y        N       N        N #> 56        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 57        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 58        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 59        B      S1  8.926907    LOW     Y     Y        N       N        N #> 60        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 61        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 62        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 63        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 64        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 65        B      S1  8.926907    LOW     Y     Y        N       N        N #> 66        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 67        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 68        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 69        B      S1  8.926907    LOW     Y     Y        N       N        N #> 70        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 71        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 72        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 73        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 74        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 75        B      S1  8.926907    LOW     Y     Y        N       N        N #> 76        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 77        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 78        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 79        B      S1  8.926907    LOW     Y     Y        N       N        N #> 80        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 81        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 82        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 83        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 84        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 85        B      S1  8.926907    LOW     Y     Y        N       N        N #> 86        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 87        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 88        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 89        B      S1  8.926907    LOW     Y     Y        N       N        N #> 90        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 91        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 92        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 93        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 94        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 95        B      S1  8.926907    LOW     Y     Y        N       N        N #> 96        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 97        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 98        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 99        B      S1  8.926907    LOW     Y     Y        N       N        N #> 100       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 101       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 102       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 103       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 104       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 105       B      S1  8.926907    LOW     Y     Y        N       N        N #> 106       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 107       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 108       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 109       B      S1  8.926907    LOW     Y     Y        N       N        N #> 110       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 111       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 112       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 113       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 114       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 115       B      S1  8.926907    LOW     Y     Y        N       N        N #> 116       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 117       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 118       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 119       B      S1  8.926907    LOW     Y     Y        N       N        N #> 120       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 121       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 122       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 123       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 124       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 125       B      S1  8.926907    LOW     Y     Y        N       N        N #> 126       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 127       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 128       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 129       B      S1  8.926907    LOW     Y     Y        N       N        N #> 130       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 131       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 132       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 133       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 134       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 135       B      S1  8.926907    LOW     Y     Y        N       N        N #> 136       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 137       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 138       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 139       B      S1  8.926907    LOW     Y     Y        N       N        N #> 140       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 141       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 142       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 143       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 144       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 145       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 146       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 147       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 148       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 149       B      S1  8.926907    LOW     Y     Y        N       N        N #> 150       B      S1  8.926907    LOW     Y     Y        N       N        N #> 151       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 152       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 153       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 154       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 155       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 156       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 157       B      S1  8.926907    LOW     Y     Y        N       N        N #> 158       B      S1  8.926907    LOW     Y     Y        N       N        N #> 159       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 160       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 161       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 162       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 163       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 164       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 165       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 166       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 167       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 168       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 169       B      S1  8.926907    LOW     Y     Y        N       N        N #> 170       B      S1  8.926907    LOW     Y     Y        N       N        N #> 171       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 172       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 173       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 174       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 175       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 176       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 177       B      S1  8.926907    LOW     Y     Y        N       N        N #> 178       B      S1  8.926907    LOW     Y     Y        N       N        N #> 179       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 180       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 181       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 182       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 183       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 184       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 185       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 186       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 187       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 188       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 189       B      S1  8.926907    LOW     Y     Y        N       N        N #> 190       B      S1  8.926907    LOW     Y     Y        N       N        N #> 191       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 192       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 193       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 194       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 195       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 196       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 197       B      S1  8.926907    LOW     Y     Y        N       N        N #> 198       B      S1  8.926907    LOW     Y     Y        N       N        N #> 199       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 200       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 201       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 202       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 203       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 204       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 205       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 206       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 207       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 208       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 209       B      S1  8.926907    LOW     Y     Y        N       N        N #> 210       B      S1  8.926907    LOW     Y     Y        N       N        N #> 211       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 212       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 213       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 214       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 215       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 216       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 217       B      S1  8.926907    LOW     Y     Y        N       N        N #> 218       B      S1  8.926907    LOW     Y     Y        N       N        N #> 219       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 220       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 221       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 222       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 223       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 224       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 225       B      S1  8.926907    LOW     Y     Y        N       N        N #> 226       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 227       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 228       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 229       B      S1  8.926907    LOW     Y     Y        N       N        N #> 230       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 231       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 232       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 233       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 234       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 235       B      S1  8.926907    LOW     Y     Y        N       N        N #> 236       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 237       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 238       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 239       B      S1  8.926907    LOW     Y     Y        N       N        N #> 240       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 241       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 242       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 243       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 244       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 245       B      S1  8.926907    LOW     Y     Y        N       N        N #> 246       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 247       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 248       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 249       B      S1  8.926907    LOW     Y     Y        N       N        N #> 250       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 251       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 252       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 253       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 254       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 255       B      S1  8.926907    LOW     Y     Y        N       N        N #> 256       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 257       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 258       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 259       B      S1  8.926907    LOW     Y     Y        N       N        N #> 260       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 261       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 262       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 263       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 264       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 265       B      S1  8.926907    LOW     Y     Y        N       N        N #> 266       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 267       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 268       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 269       B      S1  8.926907    LOW     Y     Y        N       N        N #> 270       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 271       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 272       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 273       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 274       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 275       B      S1  8.926907    LOW     Y     Y        N       N        N #> 276       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 277       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 278       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 279       B      S1  8.926907    LOW     Y     Y        N       N        N #> 280       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 281       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 282       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 283       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 284       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 285       B      S1  8.926907    LOW     Y     Y        N       N        N #> 286       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 287       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 288       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 289       B      S1  8.926907    LOW     Y     Y        N       N        N #> 290       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 291       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 292       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 293       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 294       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 295       B      S1  8.926907    LOW     Y     Y        N       N        N #> 296       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 297       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 298       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 299       B      S1  8.926907    LOW     Y     Y        N       N        N #> 300       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 301       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 302       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 303       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 304       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 305       B      S1  8.926907    LOW     Y     Y        N       N        N #> 306       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 307       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 308       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 309       B      S1  8.926907    LOW     Y     Y        N       N        N #> 310       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 311       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 312       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 313       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 314       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 315       B      S1  8.926907    LOW     Y     Y        N       N        N #> 316       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 317       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 318       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 319       B      S1  8.926907    LOW     Y     Y        N       N        N #> 320       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 321       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 322       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 323       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 324       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 325       B      S1  8.926907    LOW     Y     Y        N       N        N #> 326       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 327       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 328       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 329       B      S1  8.926907    LOW     Y     Y        N       N        N #> 330       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 331       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 332       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 333       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 334       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 335       B      S1  8.926907    LOW     Y     Y        N       N        N #> 336       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 337       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 338       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 339       B      S1  8.926907    LOW     Y     Y        N       N        N #> 340       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 341       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 342       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 343       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 344       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 345       B      S1  8.926907    LOW     Y     Y        N       N        N #> 346       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 347       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 348       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 349       B      S1  8.926907    LOW     Y     Y        N       N        N #> 350       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 351       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 352       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 353       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 354       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 355       B      S1  8.926907    LOW     Y     Y        N       N        N #> 356       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 357       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 358       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 359       B      S1  8.926907    LOW     Y     Y        N       N        N #> 360       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 361       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 362       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 363       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 364       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 365       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 366       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 367       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 368       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 369       B      S1  8.926907    LOW     Y     Y        N       N        N #> 370       B      S1  8.926907    LOW     Y     Y        N       N        N #> 371       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 372       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 373       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 374       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 375       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 376       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 377       B      S1  8.926907    LOW     Y     Y        N       N        N #> 378       B      S1  8.926907    LOW     Y     Y        N       N        N #> 379       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 380       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 381       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 382       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 383       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 384       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 385       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 386       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 387       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 388       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 389       B      S1  8.926907    LOW     Y     Y        N       N        N #> 390       B      S1  8.926907    LOW     Y     Y        N       N        N #> 391       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 392       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 393       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 394       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 395       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 396       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 397       B      S1  8.926907    LOW     Y     Y        N       N        N #> 398       B      S1  8.926907    LOW     Y     Y        N       N        N #> 399       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 400       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 401       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 402       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 403       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 404       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 405       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 406       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 407       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 408       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 409       B      S1  8.926907    LOW     Y     Y        N       N        N #> 410       B      S1  8.926907    LOW     Y     Y        N       N        N #> 411       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 412       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 413       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 414       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 415       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 416       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 417       B      S1  8.926907    LOW     Y     Y        N       N        N #> 418       B      S1  8.926907    LOW     Y     Y        N       N        N #> 419       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 420       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 421       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 422       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 423       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 424       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 425       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 426       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 427       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 428       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 429       B      S1  8.926907    LOW     Y     Y        N       N        N #> 430       B      S1  8.926907    LOW     Y     Y        N       N        N #> 431       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 432       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 433       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 434       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 435       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 436       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 437       B      S1  8.926907    LOW     Y     Y        N       N        N #> 438       B      S1  8.926907    LOW     Y     Y        N       N        N #> 439       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 440       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 441       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 442       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 443       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 444       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 445       B      S1  8.926907    LOW     Y     Y        N       N        N #> 446       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 447       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 448       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 449       B      S1  8.926907    LOW     Y     Y        N       N        N #> 450       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 451       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 452       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 453       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 454       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 455       B      S1  8.926907    LOW     Y     Y        N       N        N #> 456       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 457       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 458       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 459       B      S1  8.926907    LOW     Y     Y        N       N        N #> 460       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 461       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 462       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 463       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 464       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 465       B      S1  8.926907    LOW     Y     Y        N       N        N #> 466       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 467       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 468       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 469       B      S1  8.926907    LOW     Y     Y        N       N        N #> 470       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 471       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 472       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 473       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 474       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 475       B      S1  8.926907    LOW     Y     Y        N       N        N #> 476       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 477       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 478       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 479       B      S1  8.926907    LOW     Y     Y        N       N        N #> 480       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 481       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 482       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 483       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 484       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 485       B      S1  8.926907    LOW     Y     Y        N       N        N #> 486       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 487       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 488       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 489       B      S1  8.926907    LOW     Y     Y        N       N        N #> 490       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 491       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 492       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 493       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 494       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 495       B      S1  8.926907    LOW     Y     Y        N       N        N #> 496       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 497       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 498       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 499       B      S1  8.926907    LOW     Y     Y        N       N        N #> 500       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 501       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 502       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 503       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 504       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 505       B      S1  8.926907    LOW     Y     Y        N       N        N #> 506       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 507       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 508       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 509       B      S1  8.926907    LOW     Y     Y        N       N        N #> 510       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 511       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 512       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 513       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 514       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 515       B      S1  8.926907    LOW     Y     Y        N       N        N #> 516       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 517       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 518       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 519       B      S1  8.926907    LOW     Y     Y        N       N        N #> 520       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 521       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 522       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 523       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 524       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 525       B      S1  8.926907    LOW     Y     Y        N       N        N #> 526       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 527       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 528       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 529       B      S1  8.926907    LOW     Y     Y        N       N        N #> 530       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 531       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 532       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 533       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 534       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 535       B      S1  8.926907    LOW     Y     Y        N       N        N #> 536       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 537       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 538       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 539       B      S1  8.926907    LOW     Y     Y        N       N        N #> 540       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 541       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 542       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 543       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 544       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 545       B      S1  8.926907    LOW     Y     Y        N       N        N #> 546       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 547       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 548       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 549       B      S1  8.926907    LOW     Y     Y        N       N        N #> 550       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 551       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 552       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 553       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 554       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 555       B      S1  8.926907    LOW     Y     Y        N       N        N #> 556       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 557       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 558       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 559       B      S1  8.926907    LOW     Y     Y        N       N        N #> 560       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 561       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 562       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 563       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 564       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 565       B      S1  8.926907    LOW     Y     Y        N       N        N #> 566       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 567       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 568       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 569       B      S1  8.926907    LOW     Y     Y        N       N        N #> 570       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 571       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 572       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 573       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 574       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 575       B      S1  8.926907    LOW     Y     Y        N       N        N #> 576       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 577       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 578       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 579       B      S1  8.926907    LOW     Y     Y        N       N        N #> 580       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 581       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 582       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 583       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 584       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 585       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 586       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 587       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 588       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 589       B      S1  8.926907    LOW     Y     Y        N       N        N #> 590       B      S1  8.926907    LOW     Y     Y        N       N        N #> 591       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 592       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 593       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 594       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 595       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 596       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 597       B      S1  8.926907    LOW     Y     Y        N       N        N #> 598       B      S1  8.926907    LOW     Y     Y        N       N        N #> 599       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 600       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 601       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 602       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 603       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 604       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 605       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 606       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 607       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 608       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 609       B      S1  8.926907    LOW     Y     Y        N       N        N #> 610       B      S1  8.926907    LOW     Y     Y        N       N        N #> 611       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 612       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 613       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 614       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 615       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 616       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 617       B      S1  8.926907    LOW     Y     Y        N       N        N #> 618       B      S1  8.926907    LOW     Y     Y        N       N        N #> 619       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 620       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 621       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 622       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 623       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 624       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 625       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 626       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 627       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 628       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 629       B      S1  8.926907    LOW     Y     Y        N       N        N #> 630       B      S1  8.926907    LOW     Y     Y        N       N        N #> 631       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 632       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 633       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 634       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 635       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 636       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 637       B      S1  8.926907    LOW     Y     Y        N       N        N #> 638       B      S1  8.926907    LOW     Y     Y        N       N        N #> 639       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 640       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 641       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 642       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 643       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 644       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 645       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 646       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 647       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 648       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 649       B      S1  8.926907    LOW     Y     Y        N       N        N #> 650       B      S1  8.926907    LOW     Y     Y        N       N        N #> 651       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 652       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 653       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 654       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 655       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 656       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 657       B      S1  8.926907    LOW     Y     Y        N       N        N #> 658       B      S1  8.926907    LOW     Y     Y        N       N        N #> 659       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 660       A      S1  6.922043   HIGH     Y     Y        Y       N        N #>         RANDDT             TRTSDTM             TRTEDTM           TRT01SDTM #> 1   2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 2   2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 3   2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 4   2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 5   2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 6   2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 7   2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 8   2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 9   2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 10  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 11  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 12  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 13  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 14  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 15  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 16  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 17  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 18  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 19  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 20  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 21  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 22  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 23  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 24  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 25  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 26  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 27  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 28  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 29  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 30  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 31  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 32  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 33  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 34  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 35  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 36  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 37  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 38  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 39  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 40  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 41  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 42  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 43  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 44  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 45  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 46  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 47  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 48  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 49  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 50  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 51  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 52  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 53  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 54  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 55  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 56  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 57  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 58  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 59  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 60  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 61  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 62  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 63  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 64  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 65  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 66  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 67  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 68  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 69  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 70  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 71  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 72  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 73  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 74  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 75  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 76  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 77  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 78  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 79  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 80  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 81  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 82  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 83  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 84  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 85  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 86  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 87  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 88  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 89  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 90  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 91  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 92  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 93  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 94  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 95  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 96  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 97  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 98  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 99  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 100 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 101 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 102 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 103 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 104 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 105 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 106 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 107 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 108 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 109 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 110 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 111 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 112 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 113 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 114 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 115 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 116 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 117 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 118 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 119 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 120 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 121 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 122 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 123 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 124 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 125 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 126 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 127 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 128 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 129 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 130 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 131 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 132 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 133 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 134 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 135 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 136 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 137 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 138 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 139 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 140 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 141 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 142 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 143 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 144 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 145 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 146 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 147 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 148 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 149 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 150 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 151 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 152 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 153 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 154 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 155 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 156 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 157 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 158 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 159 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 160 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 161 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 162 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 163 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 164 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 165 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 166 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 167 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 168 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 169 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 170 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 171 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 172 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 173 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 174 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 175 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 176 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 177 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 178 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 179 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 180 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 181 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 182 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 183 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 184 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 185 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 186 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 187 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 188 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 189 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 190 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 191 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 192 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 193 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 194 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 195 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 196 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 197 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 198 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 199 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 200 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 201 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 202 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 203 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 204 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 205 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 206 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 207 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 208 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 209 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 210 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 211 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 212 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 213 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 214 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 215 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 216 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 217 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 218 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 219 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 220 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 221 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 222 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 223 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 224 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 225 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 226 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 227 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 228 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 229 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 230 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 231 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 232 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 233 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 234 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 235 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 236 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 237 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 238 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 239 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 240 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 241 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 242 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 243 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 244 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 245 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 246 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 247 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 248 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 249 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 250 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 251 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 252 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 253 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 254 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 255 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 256 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 257 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 258 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 259 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 260 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 261 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 262 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 263 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 264 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 265 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 266 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 267 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 268 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 269 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 270 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 271 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 272 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 273 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 274 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 275 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 276 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 277 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 278 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 279 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 280 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 281 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 282 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 283 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 284 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 285 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 286 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 287 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 288 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 289 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 290 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 291 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 292 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 293 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 294 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 295 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 296 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 297 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 298 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 299 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 300 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 301 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 302 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 303 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 304 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 305 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 306 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 307 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 308 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 309 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 310 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 311 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 312 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 313 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 314 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 315 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 316 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 317 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 318 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 319 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 320 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 321 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 322 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 323 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 324 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 325 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 326 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 327 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 328 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 329 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 330 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 331 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 332 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 333 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 334 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 335 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 336 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 337 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 338 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 339 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 340 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 341 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 342 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 343 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 344 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 345 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 346 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 347 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 348 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 349 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 350 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 351 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 352 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 353 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 354 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 355 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 356 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 357 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 358 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 359 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 360 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 361 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 362 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 363 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 364 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 365 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 366 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 367 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 368 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 369 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 370 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 371 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 372 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 373 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 374 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 375 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 376 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 377 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 378 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 379 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 380 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 381 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 382 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 383 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 384 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 385 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 386 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 387 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 388 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 389 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 390 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 391 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 392 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 393 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 394 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 395 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 396 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 397 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 398 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 399 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 400 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 401 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 402 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 403 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 404 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 405 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 406 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 407 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 408 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 409 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 410 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 411 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 412 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 413 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 414 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 415 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 416 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 417 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 418 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 419 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 420 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 421 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 422 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 423 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 424 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 425 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 426 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 427 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 428 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 429 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 430 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 431 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 432 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 433 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 434 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 435 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 436 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 437 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 438 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 439 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 440 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 441 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 442 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 443 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 444 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 445 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 446 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 447 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 448 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 449 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 450 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 451 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 452 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 453 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 454 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 455 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 456 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 457 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 458 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 459 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 460 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 461 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 462 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 463 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 464 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 465 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 466 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 467 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 468 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 469 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 470 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 471 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 472 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 473 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 474 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 475 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 476 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 477 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 478 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 479 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 480 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 481 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 482 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 483 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 484 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 485 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 486 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 487 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 488 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 489 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 490 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 491 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 492 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 493 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 494 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 495 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 496 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 497 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 498 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 499 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 500 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 501 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 502 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 503 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 504 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 505 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 506 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 507 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 508 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 509 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 510 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 511 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 512 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 513 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 514 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 515 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 516 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 517 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 518 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 519 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 520 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 521 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 522 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 523 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 524 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 525 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 526 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 527 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 528 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 529 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 530 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 531 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 532 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 533 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 534 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 535 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 536 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 537 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 538 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 539 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 540 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 541 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 542 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 543 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 544 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 545 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 546 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 547 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 548 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 549 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 550 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 551 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 552 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 553 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 554 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 555 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 556 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 557 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 558 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 559 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 560 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 561 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 562 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 563 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 564 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 565 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 566 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 567 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 568 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 569 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 570 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 571 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 572 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 573 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 574 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 575 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 576 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 577 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 578 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 579 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 580 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 581 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 582 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 583 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 584 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 585 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 586 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 587 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 588 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 589 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 590 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 591 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 592 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 593 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 594 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 595 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 596 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 597 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 598 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 599 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 600 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 601 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 602 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 603 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 604 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 605 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 606 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 607 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 608 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 609 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 610 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 611 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 612 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 613 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 614 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 615 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 616 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 617 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 618 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 619 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 620 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 621 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 622 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 623 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 624 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 625 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 626 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 627 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 628 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 629 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 630 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 631 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 632 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 633 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 634 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 635 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 636 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 637 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 638 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 639 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 640 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 641 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 642 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 643 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 644 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 645 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 646 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 647 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 648 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 649 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 650 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 651 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 652 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 653 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 654 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 655 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 656 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 657 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 658 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 659 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 660 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #>               TRT01EDTM           TRT02SDTM           TRT02EDTM #> 1   2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 2   2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 3   2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 4                  <NA>                <NA>                <NA> #> 5   2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 6   2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 7   2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 8   2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 9   2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 10  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 11  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 12  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 13  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 14                 <NA>                <NA>                <NA> #> 15  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 16  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 17  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 18  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 19  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 20  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 21  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 22  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 23  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 24                 <NA>                <NA>                <NA> #> 25  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 26  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 27  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 28  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 29  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 30  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 31  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 32  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 33  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 34                 <NA>                <NA>                <NA> #> 35  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 36  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 37  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 38  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 39  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 40  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 41  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 42  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 43  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 44                 <NA>                <NA>                <NA> #> 45  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 46  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 47  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 48  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 49  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 50  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 51  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 52  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 53  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 54                 <NA>                <NA>                <NA> #> 55  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 56  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 57  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 58  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 59  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 60  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 61  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 62  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 63  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 64                 <NA>                <NA>                <NA> #> 65  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 66  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 67  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 68  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 69  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 70  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 71  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 72  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 73  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 74                 <NA>                <NA>                <NA> #> 75  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 76  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 77  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 78  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 79  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 80  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 81  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 82  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 83  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 84                 <NA>                <NA>                <NA> #> 85  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 86  2022-06-27 16:48:00 2022-06-27 16:48:00 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14:25:18 2022-09-21 20:25:18 #> 102 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 103 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 104                <NA>                <NA>                <NA> #> 105 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 106 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 107 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 108 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 109 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 110 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 111 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 112 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 113 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 114                <NA>                <NA>                <NA> #> 115 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 116 2022-06-27 16:48:00 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14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 132 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 133 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 134                <NA>                <NA>                <NA> #> 135 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 136 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 137 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 138 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 139 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 140 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 141 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 142 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 143 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 144 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 145 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 146 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161 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 162 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 163 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 164 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 165 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 166 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 167                <NA>                <NA>                <NA> #> 168                <NA>                <NA>                <NA> #> 169 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 170 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 171 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 172 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 173 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 174 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 175 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 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265 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 266 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 267 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 268 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 269 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 270 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 271 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 272 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 273 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 274                <NA>                <NA>                <NA> #> 275 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 276 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 277 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 278 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 279 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 280 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 281 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 282 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 283 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 284                <NA>                <NA>                <NA> #> 285 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 286 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 287 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 288 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 289 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 290 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 291 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 292 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 293 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 294                <NA>                <NA>        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2021-09-08 20:09:38 #> 310 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 311 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 312 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 313 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 314                <NA>                <NA>                <NA> #> 315 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 316 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 317 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 318 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 319 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 320 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 321 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 322 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 323 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 324                <NA>                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14:09:38 2021-09-08 20:09:38 #> 340 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 341 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 342 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 343 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 344                <NA>                <NA>                <NA> #> 345 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 346 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 347 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 348 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 349 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 350 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 351 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 352 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 353 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 354                <NA>        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2020-09-08 14:09:38 2021-09-08 20:09:38 #> 370 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 371 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 372 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 373 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 374 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 375 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 376 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 377 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 378 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 379 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 380 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 381 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 382 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 383 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 384 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 385 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 386 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 387                <NA>                <NA>                <NA> #> 388                <NA>                <NA>                <NA> #> 389 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 390 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 391 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 392 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 393 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 394 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 395 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 396 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 397 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 398 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 399 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 400 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 401 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 402 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 403 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 404 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 405 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 406 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 407                <NA>                <NA>                <NA> #> 408                <NA>                <NA>                <NA> #> 409 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 410 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 411 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 412 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 413 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 414 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 415 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 416 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 417 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 418 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 419 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 420 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 421 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 422 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 423 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 424 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 425 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 426 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 427                <NA>                <NA>                <NA> #> 428                <NA>                <NA>                <NA> #> 429 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 430 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 431 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 432 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 433 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 434 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 435 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 436 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 437 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 438 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 439 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 440 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 441 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 442 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 443 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 444                <NA>                <NA>                <NA> #> 445 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 446 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 447 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 448 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 449 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 450 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 451 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 452 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 453 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 454                <NA>                <NA>                <NA> #> 455 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 456 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 457 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 458 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 459 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 460 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 461 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 462 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 463 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 464                <NA>                <NA>                <NA> #> 465 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 466 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 467 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 468 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 469 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 470 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 471 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 472 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 473 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 474                <NA>                <NA>                <NA> #> 475 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 476 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 477 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 478 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 479 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 480 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 481 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 482 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 483 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 484                <NA>                <NA>                <NA> #> 485 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 486 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 487 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 488 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 489 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 490 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 491 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 492 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 493 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 494                <NA>                <NA>                <NA> #> 495 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 496 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 497 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 498 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 499 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 500 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 501 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 502 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 503 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 504                <NA>                <NA>                <NA> #> 505 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 506 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 507 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 508 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 509 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 510 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 511 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 512 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 513 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 514                <NA>                <NA>                <NA> #> 515 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 516 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 517 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 518 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 519 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 520 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 521 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 522 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 523 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 524                <NA>                <NA>                <NA> #> 525 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 526 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 527 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 528 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 529 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 530 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 531 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 532 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 533 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 534                <NA>                <NA>                <NA> #> 535 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 536 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 537 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 538 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 539 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 540 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 541 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 542 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 543 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 544                <NA>                <NA>                <NA> #> 545 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 546 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 547 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 548 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 549 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 550 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 551 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 552 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 553 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 554                <NA>                <NA>                <NA> #> 555 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 556 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 557 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 558 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 559 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 560 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 561 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 562 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 563 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 564                <NA>                <NA>                <NA> #> 565 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 566 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 567 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 568 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 569 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 570 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 571 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 572 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 573 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 574                <NA>                <NA>                <NA> #> 575 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 576 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 577 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 578 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 579 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 580 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 581 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 582 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 583 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 584 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 585 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 586 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 587                <NA>                <NA>                <NA> #> 588                <NA>                <NA>                <NA> #> 589 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 590 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 591 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 592 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 593 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 594 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 595 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 596 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 597 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 598 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 599 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 600 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 601 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 602 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 603 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 604 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 605 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 606 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 607                <NA>                <NA>                <NA> #> 608                <NA>                <NA>                <NA> #> 609 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 610 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 611 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 612 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 613 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 614 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 615 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 616 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 617 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 618 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 619 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 620 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 621 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 622 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 623 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 624 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 625 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 626 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 627                <NA>                <NA>                <NA> #> 628                <NA>                <NA>                <NA> #> 629 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 630 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 631 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 632 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 633 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 634 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 635 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 636 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 637 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 638 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 639 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 640 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 641 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 642 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 643 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 644 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 645 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 646 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 647                <NA>                <NA>                <NA> #> 648                <NA>                <NA>                <NA> #> 649 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 650 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 651 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 652 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 653 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 654 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 655 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 656 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 657 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 658 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 659 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 660 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #>                AP01SDTM            AP01EDTM            AP02SDTM #> 1   2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 2   2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 3   2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 4   2020-02-26 18:15:59                <NA>                <NA> #> 5   2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 6   2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 7   2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 8   2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 9   2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 10  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 11  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 12  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 13  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 14  2020-02-26 18:15:59                <NA>                <NA> #> 15  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 16  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 17  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 18  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 19  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 20  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 21  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 22  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 23  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 24  2020-02-26 18:15:59                <NA>                <NA> #> 25  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 26  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 27  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 28  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 29  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 30  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 31  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 32  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 33  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 34  2020-02-26 18:15:59                <NA>                <NA> #> 35  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 36  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 37  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 38  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 39  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 40  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 41  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 42  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 43  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 44  2020-02-26 18:15:59                <NA>                <NA> #> 45  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 46  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 47  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 48  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 49  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 50  2021-01-17 22:43:53 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10:43:53 2023-01-18 10:43:53 #> 259 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 260 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 261 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 262 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 263 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 264 2020-02-26 18:15:59                <NA>                <NA> #> 265 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 266 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 267 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 268 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 269 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 270 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 271 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 272 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 273 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 274 2020-02-26 18:15:59                <NA>                <NA> #> 275 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 276 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 277 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 278 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 279 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 280 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 281 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 282 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 283 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 284 2020-02-26 18:15:59                <NA>                <NA> #> 285 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 286 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 287 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 288 2021-01-17 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2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 304 2020-02-26 18:15:59                <NA>                <NA> #> 305 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 306 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 307 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 308 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 309 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 310 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 311 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 312 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 313 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 314 2020-02-26 18:15:59                <NA>                <NA> #> 315 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 316 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 317 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 318 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 319 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 320 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 321 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 322 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 323 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 324 2020-02-26 18:15:59                <NA>                <NA> #> 325 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 326 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 327 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 328 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 329 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 330 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 331 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 332 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 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2020-09-08 14:09:38 2020-09-08 14:09:38 #> 378 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 379 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 380 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 381 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 382 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 383 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 384 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 385 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 386 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 387 2020-02-26 18:15:59                <NA>                <NA> #> 388 2020-02-26 18:15:59                <NA>                <NA> #> 389 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 390 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 391 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 392 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 393 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 394 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 395 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 396 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 397 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 398 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 399 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 400 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 401 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 402 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 403 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 404 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 405 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 406 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 407 2020-02-26 18:15:59                <NA>                <NA> #> 408 2020-02-26 18:15:59                <NA>                <NA> #> 409 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 410 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 411 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 412 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 413 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 414 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 415 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 416 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 417 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 418 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 419 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 420 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 421 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 422 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 423 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 424 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 425 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 426 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 427 2020-02-26 18:15:59                <NA>                <NA> #> 428 2020-02-26 18:15:59                <NA>                <NA> #> 429 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 430 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 431 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 432 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 433 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 434 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 435 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 436 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 437 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 438 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 439 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 440 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 441 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 442 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 443 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 444 2020-02-26 18:15:59                <NA>                <NA> #> 445 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 446 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 447 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 448 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 449 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 450 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 451 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 452 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 453 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 454 2020-02-26 18:15:59                <NA>                <NA> #> 455 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 456 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 457 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 458 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 459 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 460 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 461 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 462 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 463 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 464 2020-02-26 18:15:59                <NA>                <NA> #> 465 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 466 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 467 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 468 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 469 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 470 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 471 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 472 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 473 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 474 2020-02-26 18:15:59                <NA>                <NA> #> 475 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 476 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 477 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 478 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 479 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 480 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 481 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 482 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 483 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 484 2020-02-26 18:15:59                <NA>                <NA> #> 485 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 486 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 487 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 488 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 489 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 490 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 491 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 492 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 493 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 494 2020-02-26 18:15:59                <NA>                <NA> #> 495 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 496 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 497 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 498 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 499 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 500 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 501 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 502 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 503 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 504 2020-02-26 18:15:59                <NA>                <NA> #> 505 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 506 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 507 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 508 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 509 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 510 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 511 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 512 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 513 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 514 2020-02-26 18:15:59                <NA>                <NA> #> 515 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 516 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 517 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 518 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 519 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 520 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 521 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 522 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 523 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 524 2020-02-26 18:15:59                <NA>                <NA> #> 525 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 526 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 527 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 528 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 529 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 530 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 531 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 532 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 533 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 534 2020-02-26 18:15:59                <NA>                <NA> #> 535 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 536 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 537 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 538 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 539 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 540 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 541 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 542 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 543 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 544 2020-02-26 18:15:59                <NA>                <NA> #> 545 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 546 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 547 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 548 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 549 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 550 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 551 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 552 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 553 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 554 2020-02-26 18:15:59                <NA>                <NA> #> 555 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 556 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 557 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 558 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 559 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 560 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 561 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 562 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 563 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 564 2020-02-26 18:15:59                <NA>                <NA> #> 565 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 566 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 567 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 568 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 569 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 570 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 571 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 572 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 573 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 574 2020-02-26 18:15:59                <NA>                <NA> #> 575 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 576 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 577 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 578 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 579 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 580 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 581 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 582 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 583 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 584 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 585 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 586 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 587 2020-02-26 18:15:59                <NA>                <NA> #> 588 2020-02-26 18:15:59                <NA>                <NA> #> 589 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 590 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 591 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 592 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 593 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 594 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 595 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 596 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 597 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 598 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 599 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 600 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 601 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 602 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 603 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 604 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 605 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 606 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 607 2020-02-26 18:15:59                <NA>                <NA> #> 608 2020-02-26 18:15:59                <NA>                <NA> #> 609 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 610 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 611 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 612 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 613 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 614 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 615 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 616 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 617 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 618 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 619 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 620 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 621 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 622 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 623 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 624 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 625 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 626 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 627 2020-02-26 18:15:59                <NA>                <NA> #> 628 2020-02-26 18:15:59                <NA>                <NA> #> 629 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 630 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 631 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 632 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 633 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 634 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 635 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 636 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 637 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 638 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 639 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 640 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 641 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 642 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 643 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 644 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 645 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 646 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 647 2020-02-26 18:15:59                <NA>                <NA> #> 648 2020-02-26 18:15:59                <NA>                <NA> #> 649 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 650 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 651 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 652 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 653 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 654 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 655 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 656 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 657 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 658 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 659 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 660 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #>                AP02EDTM       EOSSTT       EOTSTT      EOSDT EOSDY DCSREAS #> 1   2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 2   2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 3   2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 4                  <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 5   2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 6   2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 7   2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 8   2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 9   2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 10  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 11  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 12  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 13  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 14                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 15  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 16  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 17  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 18  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 19  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 20  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 21  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 22  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 23  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 24                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 25  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 26  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 27  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 28  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 29  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 30  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 31  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 32  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 33  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 34                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 35  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 36  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 37  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 38  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 39  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 40  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 41  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 42  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 43  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 44                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 45  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 46  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 47  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 48  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 49  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 50  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 51  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 52  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 53  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 54                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 55  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 56  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 57  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 58  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 59  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 60  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 61  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 62  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 63  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 64                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 65  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 66  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 67  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 68  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 69  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 70  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 71  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 72  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 73  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 74                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 75  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 76  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 77  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 78  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 79  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 80  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 81  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 82  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 83  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 84                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 85  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 86  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 87  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 88  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 89  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 90  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 91  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 92  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 93  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 94                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 95  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 96  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 97  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 98  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 99  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 100 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 101 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 102 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 103 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 104                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 105 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 106 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 107 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 108 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 109 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 110 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 111 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 112 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 113 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 114                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 115 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 116 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 117 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 118 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 119 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 120 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 121 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 122 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 123 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 124                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 125 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 126 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 127 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 128 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 129 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 130 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 131 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 132 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 133 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 134                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 135 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 136 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 137 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 138 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 139 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 140 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 141 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 142 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 143 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 144 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 145 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 146 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 147                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 148                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 149 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 150 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 151 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 152 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 153 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 154 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 155 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 156 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 157 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 158 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 159 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 160 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 161 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 162 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 163 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 164 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 165 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 166 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 167                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 168                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 169 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 170 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 171 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 172 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 173 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 174 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 175 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 176 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 177 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 178 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 179 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 180 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 181 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 182 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 183 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 184 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 185 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 186 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 187                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 188                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 189 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 190 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 191 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 192 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 193 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 194 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 195 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 196 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 197 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 198 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 199 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 200 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 201 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 202 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 203 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 204 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 205 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 206 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 207                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 208                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 209 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 210 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 211 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 212 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 213 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 214 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 215 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 216 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 217 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 218 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 219 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 220 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 221 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 222 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 223 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 224                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 225 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 226 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 227 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 228 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 229 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 230 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 231 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 232 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 233 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 234                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 235 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 236 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 237 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 238 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 239 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 240 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 241 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 242 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 243 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 244                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 245 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 246 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 247 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 248 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 249 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 250 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 251 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 252 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 253 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 254                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 255 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 256 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 257 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 258 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 259 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 260 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 261 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 262 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 263 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 264                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 265 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 266 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 267 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 268 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 269 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 270 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 271 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 272 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 273 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 274                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 275 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 276 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 277 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 278 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 279 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 280 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 281 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 282 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 283 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 284                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 285 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 286 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 287 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 288 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 289 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 290 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 291 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 292 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 293 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 294                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 295 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 296 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 297 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 298 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 299 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 300 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 301 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 302 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 303 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 304                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 305 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 306 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 307 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 308 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 309 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 310 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 311 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 312 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 313 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 314                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 315 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 316 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 317 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 318 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 319 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 320 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 321 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 322 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 323 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 324                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 325 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 326 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 327 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 328 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 329 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 330 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 331 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 332 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 333 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 334                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 335 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 336 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 337 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 338 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 339 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 340 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 341 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 342 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 343 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 344                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 345 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 346 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 347 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 348 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 349 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 350 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 351 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 352 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 353 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 354                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 355 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 356 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 357 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 358 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 359 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 360 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 361 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 362 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 363 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 364 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 365 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 366 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 367                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 368                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 369 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 370 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 371 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 372 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 373 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 374 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 375 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 376 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 377 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 378 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 379 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 380 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 381 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 382 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 383 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 384 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 385 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 386 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 387                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 388                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 389 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 390 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 391 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 392 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 393 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 394 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 395 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 396 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 397 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 398 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 399 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 400 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 401 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 402 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 403 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 404 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 405 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 406 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 407                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 408                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 409 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 410 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 411 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 412 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 413 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 414 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 415 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 416 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 417 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 418 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 419 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 420 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 421 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 422 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 423 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 424 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 425 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 426 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 427                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 428                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 429 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 430 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 431 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 432 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 433 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 434 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 435 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 436 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 437 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 438 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 439 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 440 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 441 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 442 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 443 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 444                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 445 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 446 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 447 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 448 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 449 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 450 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 451 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 452 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 453 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 454                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 455 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 456 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 457 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 458 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 459 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 460 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 461 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 462 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 463 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 464                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 465 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 466 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 467 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 468 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 469 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 470 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 471 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 472 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 473 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 474                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 475 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 476 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 477 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 478 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 479 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 480 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 481 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 482 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 483 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 484                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 485 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 486 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 487 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 488 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 489 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 490 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 491 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 492 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 493 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 494                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 495 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 496 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 497 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 498 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 499 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 500 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 501 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 502 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 503 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 504                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 505 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 506 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 507 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 508 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 509 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 510 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 511 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 512 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 513 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 514                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 515 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 516 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 517 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 518 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 519 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 520 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 521 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 522 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 523 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 524                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 525 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 526 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 527 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 528 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 529 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 530 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 531 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 532 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 533 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 534                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 535 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 536 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 537 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 538 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 539 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 540 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 541 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 542 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 543 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 544                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 545 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 546 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 547 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 548 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 549 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 550 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 551 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 552 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 553 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 554                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 555 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 556 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 557 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 558 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 559 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 560 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 561 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 562 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 563 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 564                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 565 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 566 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 567 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 568 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 569 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 570 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 571 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 572 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 573 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 574                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 575 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 576 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 577 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 578 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 579 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 580 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 581 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 582 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 583 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 584 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 585 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 586 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 587                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 588                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 589 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 590 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 591 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 592 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 593 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 594 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 595 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 596 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 597 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 598 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 599 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 600 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 601 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 602 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 603 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 604 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 605 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 606 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 607                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 608                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 609 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 610 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 611 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 612 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 613 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 614 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 615 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 616 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 617 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 618 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 619 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 620 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 621 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 622 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 623 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 624 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 625 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 626 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 627                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 628                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 629 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 630 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 631 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 632 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 633 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 634 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 635 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 636 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 637 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 638 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 639 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 640 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 641 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 642 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 643 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 644 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 645 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 646 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 647                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 648                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 649 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 650 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 651 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 652 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 653 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 654 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 655 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 656 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 657 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 658 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 659 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 660 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #>          DTHDT             DTHCAUS              DTHCAT LDDTHELD LDDTHGR1 #> 1         <NA>                <NA>                <NA>       NA     <NA> #> 2         <NA>                <NA>                <NA>       NA     <NA> #> 3   2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 4         <NA>                <NA>                <NA>       NA     <NA> #> 5   2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 6         <NA>                <NA>                <NA>       NA     <NA> #> 7         <NA>                <NA>                <NA>       NA     <NA> #> 8         <NA>                <NA>                <NA>       NA     <NA> #> 9   2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 10        <NA>                <NA>                <NA>       NA     <NA> #> 11        <NA>                <NA>                <NA>       NA     <NA> #> 12        <NA>                <NA>                <NA>       NA     <NA> #> 13  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 14        <NA>                <NA>                <NA>       NA     <NA> #> 15  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 16        <NA>                <NA>                <NA>       NA     <NA> #> 17        <NA>                <NA>                <NA>       NA     <NA> #> 18        <NA>                <NA>                <NA>       NA     <NA> #> 19  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 20        <NA>                <NA>                <NA>       NA     <NA> #> 21        <NA>                <NA>                <NA>       NA     <NA> #> 22        <NA>                <NA>                <NA>       NA     <NA> #> 23  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 24        <NA>                <NA>                <NA>       NA     <NA> #> 25  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 26        <NA>                <NA>                <NA>       NA     <NA> #> 27        <NA>                <NA>                <NA>       NA     <NA> #> 28        <NA>                <NA>                <NA>       NA     <NA> #> 29  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 30        <NA>                <NA>                <NA>       NA     <NA> #> 31        <NA>                <NA>                <NA>       NA     <NA> #> 32        <NA>                <NA>                <NA>       NA     <NA> #> 33  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 34        <NA>                <NA>                <NA>       NA     <NA> #> 35  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 36        <NA>                <NA>                <NA>       NA     <NA> #> 37        <NA>                <NA>                <NA>       NA     <NA> #> 38        <NA>                <NA>                <NA>       NA     <NA> #> 39  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 40        <NA>                <NA>                <NA>       NA     <NA> #> 41        <NA>                <NA>                <NA>       NA     <NA> #> 42        <NA>                <NA>                <NA>       NA     <NA> #> 43  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 44        <NA>                <NA>                <NA>       NA     <NA> #> 45  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 46        <NA>                <NA>                <NA>       NA     <NA> #> 47        <NA>                <NA>                <NA>       NA     <NA> #> 48        <NA>                <NA>                <NA>       NA     <NA> #> 49  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 50        <NA>                <NA>                <NA>       NA     <NA> #> 51        <NA>                <NA>                <NA>       NA     <NA> #> 52        <NA>                <NA>                <NA>       NA     <NA> #> 53  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 54        <NA>                <NA>                <NA>       NA     <NA> #> 55  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 56        <NA>                <NA>                <NA>       NA     <NA> #> 57        <NA>                <NA>                <NA>       NA     <NA> #> 58        <NA>                <NA>                <NA>       NA     <NA> #> 59  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 60        <NA>                <NA>                <NA>       NA     <NA> #> 61        <NA>                <NA>                <NA>       NA     <NA> #> 62        <NA>                <NA>                <NA>       NA     <NA> #> 63  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 64        <NA>                <NA>                <NA>       NA     <NA> #> 65  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 66        <NA>                <NA>                <NA>       NA     <NA> #> 67        <NA>                <NA>                <NA>       NA     <NA> #> 68        <NA>                <NA>                <NA>       NA     <NA> #> 69  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 70        <NA>                <NA>                <NA>       NA     <NA> #> 71        <NA>                <NA>                <NA>       NA     <NA> #> 72        <NA>                <NA>                <NA>       NA     <NA> #> 73  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 74        <NA>                <NA>                <NA>       NA     <NA> #> 75  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 76        <NA>                <NA>                <NA>       NA     <NA> #> 77        <NA>                <NA>                <NA>       NA     <NA> #> 78        <NA>                <NA>                <NA>       NA     <NA> #> 79  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 80        <NA>                <NA>                <NA>       NA     <NA> #> 81        <NA>                <NA>                <NA>       NA     <NA> #> 82        <NA>                <NA>                <NA>       NA     <NA> #> 83  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 84        <NA>                <NA>                <NA>       NA     <NA> #> 85  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 86        <NA>                <NA>                <NA>       NA     <NA> #> 87        <NA>                <NA>                <NA>       NA     <NA> #> 88        <NA>                <NA>                <NA>       NA     <NA> #> 89  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 90        <NA>                <NA>                <NA>       NA     <NA> #> 91        <NA>                <NA>                <NA>       NA     <NA> #> 92        <NA>                <NA>                <NA>       NA     <NA> #> 93  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 94        <NA>                <NA>                <NA>       NA     <NA> #> 95  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 96        <NA>                <NA>                <NA>       NA     <NA> #> 97        <NA>                <NA>                <NA>       NA     <NA> #> 98        <NA>                <NA>                <NA>       NA     <NA> #> 99  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 100       <NA>                <NA>                <NA>       NA     <NA> #> 101       <NA>                <NA>                <NA>       NA     <NA> #> 102       <NA>                <NA>                <NA>       NA     <NA> #> 103 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 104       <NA>                <NA>                <NA>       NA     <NA> #> 105 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 106       <NA>                <NA>                <NA>       NA     <NA> #> 107       <NA>                <NA>                <NA>       NA     <NA> #> 108       <NA>                <NA>                <NA>       NA     <NA> #> 109 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 110       <NA>                <NA>                <NA>       NA     <NA> #> 111       <NA>                <NA>                <NA>       NA     <NA> #> 112       <NA>                <NA>                <NA>       NA     <NA> #> 113 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 114       <NA>                <NA>                <NA>       NA     <NA> #> 115 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 116       <NA>                <NA>                <NA>       NA     <NA> #> 117       <NA>                <NA>                <NA>       NA     <NA> #> 118       <NA>                <NA>                <NA>       NA     <NA> #> 119 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 120       <NA>                <NA>                <NA>       NA     <NA> #> 121       <NA>                <NA>                <NA>       NA     <NA> #> 122       <NA>                <NA>                <NA>       NA     <NA> #> 123 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 124       <NA>                <NA>                <NA>       NA     <NA> #> 125 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 126       <NA>                <NA>                <NA>       NA     <NA> #> 127       <NA>                <NA>                <NA>       NA     <NA> #> 128       <NA>                <NA>                <NA>       NA     <NA> #> 129 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 130       <NA>                <NA>                <NA>       NA     <NA> #> 131       <NA>                <NA>                <NA>       NA     <NA> #> 132       <NA>                <NA>                <NA>       NA     <NA> #> 133 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 134       <NA>                <NA>                <NA>       NA     <NA> #> 135 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 136       <NA>                <NA>                <NA>       NA     <NA> #> 137       <NA>                <NA>                <NA>       NA     <NA> #> 138       <NA>                <NA>                <NA>       NA     <NA> #> 139 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 140       <NA>                <NA>                <NA>       NA     <NA> #> 141       <NA>                <NA>                <NA>       NA     <NA> #> 142       <NA>                <NA>                <NA>       NA     <NA> #> 143       <NA>                <NA>                <NA>       NA     <NA> #> 144       <NA>                <NA>                <NA>       NA     <NA> #> 145 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 146 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 147       <NA>                <NA>                <NA>       NA     <NA> #> 148       <NA>                <NA>                <NA>       NA     <NA> #> 149 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 150 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 151       <NA>                <NA>                <NA>       NA     <NA> #> 152       <NA>                <NA>                <NA>       NA     <NA> #> 153       <NA>                <NA>                <NA>       NA     <NA> #> 154       <NA>                <NA>                <NA>       NA     <NA> #> 155       <NA>                <NA>                <NA>       NA     <NA> #> 156       <NA>                <NA>                <NA>       NA     <NA> #> 157 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 158 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 159       <NA>                <NA>                <NA>       NA     <NA> #> 160       <NA>                <NA>                <NA>       NA     <NA> #> 161       <NA>                <NA>                <NA>       NA     <NA> #> 162       <NA>                <NA>                <NA>       NA     <NA> #> 163       <NA>                <NA>                <NA>       NA     <NA> #> 164       <NA>                <NA>                <NA>       NA     <NA> #> 165 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 166 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 167       <NA>                <NA>                <NA>       NA     <NA> #> 168       <NA>                <NA>                <NA>       NA     <NA> #> 169 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 170 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 171       <NA>                <NA>                <NA>       NA     <NA> #> 172       <NA>                <NA>                <NA>       NA     <NA> #> 173       <NA>                <NA>                <NA>       NA     <NA> #> 174       <NA>                <NA>                <NA>       NA     <NA> #> 175       <NA>                <NA>                <NA>       NA     <NA> #> 176       <NA>                <NA>                <NA>       NA     <NA> #> 177 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 178 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 179       <NA>                <NA>                <NA>       NA     <NA> #> 180       <NA>                <NA>                <NA>       NA     <NA> #> 181       <NA>                <NA>                <NA>       NA     <NA> #> 182       <NA>                <NA>                <NA>       NA     <NA> #> 183       <NA>                <NA>                <NA>       NA     <NA> #> 184       <NA>                <NA>                <NA>       NA     <NA> #> 185 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 186 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 187       <NA>                <NA>                <NA>       NA     <NA> #> 188       <NA>                <NA>                <NA>       NA     <NA> #> 189 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 190 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 191       <NA>                <NA>                <NA>       NA     <NA> #> 192       <NA>                <NA>                <NA>       NA     <NA> #> 193       <NA>                <NA>                <NA>       NA     <NA> #> 194       <NA>                <NA>                <NA>       NA     <NA> #> 195       <NA>                <NA>                <NA>       NA     <NA> #> 196       <NA>                <NA>                <NA>       NA     <NA> #> 197 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 198 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 199       <NA>                <NA>                <NA>       NA     <NA> #> 200       <NA>                <NA>                <NA>       NA     <NA> #> 201       <NA>                <NA>                <NA>       NA     <NA> #> 202       <NA>                <NA>                <NA>       NA     <NA> #> 203       <NA>                <NA>                <NA>       NA     <NA> #> 204       <NA>                <NA>                <NA>       NA     <NA> #> 205 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 206 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 207       <NA>                <NA>                <NA>       NA     <NA> #> 208       <NA>                <NA>                <NA>       NA     <NA> #> 209 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 210 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 211       <NA>                <NA>                <NA>       NA     <NA> #> 212       <NA>                <NA>                <NA>       NA     <NA> #> 213       <NA>                <NA>                <NA>       NA     <NA> #> 214       <NA>                <NA>                <NA>       NA     <NA> #> 215       <NA>                <NA>                <NA>       NA     <NA> #> 216       <NA>                <NA>                <NA>       NA     <NA> #> 217 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 218 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 219       <NA>                <NA>                <NA>       NA     <NA> #> 220       <NA>                <NA>                <NA>       NA     <NA> #> 221       <NA>                <NA>                <NA>       NA     <NA> #> 222       <NA>                <NA>                <NA>       NA     <NA> #> 223 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 224       <NA>                <NA>                <NA>       NA     <NA> #> 225 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 226       <NA>                <NA>                <NA>       NA     <NA> #> 227       <NA>                <NA>                <NA>       NA     <NA> #> 228       <NA>                <NA>                <NA>       NA     <NA> #> 229 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 230       <NA>                <NA>                <NA>       NA     <NA> #> 231       <NA>                <NA>                <NA>       NA     <NA> #> 232       <NA>                <NA>                <NA>       NA     <NA> #> 233 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 234       <NA>                <NA>                <NA>       NA     <NA> #> 235 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 236       <NA>                <NA>                <NA>       NA     <NA> #> 237       <NA>                <NA>                <NA>       NA     <NA> #> 238       <NA>                <NA>                <NA>       NA     <NA> #> 239 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 240       <NA>                <NA>                <NA>       NA     <NA> #> 241       <NA>                <NA>                <NA>       NA     <NA> #> 242       <NA>                <NA>                <NA>       NA     <NA> #> 243 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 244       <NA>                <NA>                <NA>       NA     <NA> #> 245 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 246       <NA>                <NA>                <NA>       NA     <NA> #> 247       <NA>                <NA>                <NA>       NA     <NA> #> 248       <NA>                <NA>                <NA>       NA     <NA> #> 249 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 250       <NA>                <NA>                <NA>       NA     <NA> #> 251       <NA>                <NA>                <NA>       NA     <NA> #> 252       <NA>                <NA>                <NA>       NA     <NA> #> 253 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 254       <NA>                <NA>                <NA>       NA     <NA> #> 255 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 256       <NA>                <NA>                <NA>       NA     <NA> #> 257       <NA>                <NA>                <NA>       NA     <NA> #> 258       <NA>                <NA>                <NA>       NA     <NA> #> 259 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 260       <NA>                <NA>                <NA>       NA     <NA> #> 261       <NA>                <NA>                <NA>       NA     <NA> #> 262       <NA>                <NA>                <NA>       NA     <NA> #> 263 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 264       <NA>                <NA>                <NA>       NA     <NA> #> 265 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 266       <NA>                <NA>                <NA>       NA     <NA> #> 267       <NA>                <NA>                <NA>       NA     <NA> #> 268       <NA>                <NA>                <NA>       NA     <NA> #> 269 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 270       <NA>                <NA>                <NA>       NA     <NA> #> 271       <NA>                <NA>                <NA>       NA     <NA> #> 272       <NA>                <NA>                <NA>       NA     <NA> #> 273 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 274       <NA>                <NA>                <NA>       NA     <NA> #> 275 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 276       <NA>                <NA>                <NA>       NA     <NA> #> 277       <NA>                <NA>                <NA>       NA     <NA> #> 278       <NA>                <NA>                <NA>       NA     <NA> #> 279 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 280       <NA>                <NA>                <NA>       NA     <NA> #> 281       <NA>                <NA>                <NA>       NA     <NA> #> 282       <NA>                <NA>                <NA>       NA     <NA> #> 283 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 284       <NA>                <NA>                <NA>       NA     <NA> #> 285 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 286       <NA>                <NA>                <NA>       NA     <NA> #> 287       <NA>                <NA>                <NA>       NA     <NA> #> 288       <NA>                <NA>                <NA>       NA     <NA> #> 289 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 290       <NA>                <NA>                <NA>       NA     <NA> #> 291       <NA>                <NA>                <NA>       NA     <NA> #> 292       <NA>                <NA>                <NA>       NA     <NA> #> 293 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 294       <NA>                <NA>                <NA>       NA     <NA> #> 295 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 296       <NA>                <NA>                <NA>       NA     <NA> #> 297       <NA>                <NA>                <NA>       NA     <NA> #> 298       <NA>                <NA>                <NA>       NA     <NA> #> 299 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 300       <NA>                <NA>                <NA>       NA     <NA> #> 301       <NA>                <NA>                <NA>       NA     <NA> #> 302       <NA>                <NA>                <NA>       NA     <NA> #> 303 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 304       <NA>                <NA>                <NA>       NA     <NA> #> 305 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 306       <NA>                <NA>                <NA>       NA     <NA> #> 307       <NA>                <NA>                <NA>       NA     <NA> #> 308       <NA>                <NA>                <NA>       NA     <NA> #> 309 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 310       <NA>                <NA>                <NA>       NA     <NA> #> 311       <NA>                <NA>                <NA>       NA     <NA> #> 312       <NA>                <NA>                <NA>       NA     <NA> #> 313 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 314       <NA>                <NA>                <NA>       NA     <NA> #> 315 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 316       <NA>                <NA>                <NA>       NA     <NA> #> 317       <NA>                <NA>                <NA>       NA     <NA> #> 318       <NA>                <NA>                <NA>       NA     <NA> #> 319 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 320       <NA>                <NA>                <NA>       NA     <NA> #> 321       <NA>                <NA>                <NA>       NA     <NA> #> 322       <NA>                <NA>                <NA>       NA     <NA> #> 323 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 324       <NA>                <NA>                <NA>       NA     <NA> #> 325 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 326       <NA>                <NA>                <NA>       NA     <NA> #> 327       <NA>                <NA>                <NA>       NA     <NA> #> 328       <NA>                <NA>                <NA>       NA     <NA> #> 329 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 330       <NA>                <NA>                <NA>       NA     <NA> #> 331       <NA>                <NA>                <NA>       NA     <NA> #> 332       <NA>                <NA>                <NA>       NA     <NA> #> 333 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 334       <NA>                <NA>                <NA>       NA     <NA> #> 335 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 336       <NA>                <NA>                <NA>       NA     <NA> #> 337       <NA>                <NA>                <NA>       NA     <NA> #> 338       <NA>                <NA>                <NA>       NA     <NA> #> 339 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 340       <NA>                <NA>                <NA>       NA     <NA> #> 341       <NA>                <NA>                <NA>       NA     <NA> #> 342       <NA>                <NA>                <NA>       NA     <NA> #> 343 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 344       <NA>                <NA>                <NA>       NA     <NA> #> 345 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 346       <NA>                <NA>                <NA>       NA     <NA> #> 347       <NA>                <NA>                <NA>       NA     <NA> #> 348       <NA>                <NA>                <NA>       NA     <NA> #> 349 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 350       <NA>                <NA>                <NA>       NA     <NA> #> 351       <NA>                <NA>                <NA>       NA     <NA> #> 352       <NA>                <NA>                <NA>       NA     <NA> #> 353 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 354       <NA>                <NA>                <NA>       NA     <NA> #> 355 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 356       <NA>                <NA>                <NA>       NA     <NA> #> 357       <NA>                <NA>                <NA>       NA     <NA> #> 358       <NA>                <NA>                <NA>       NA     <NA> #> 359 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 360       <NA>                <NA>                <NA>       NA     <NA> #> 361       <NA>                <NA>                <NA>       NA     <NA> #> 362       <NA>                <NA>                <NA>       NA     <NA> #> 363       <NA>                <NA>                <NA>       NA     <NA> #> 364       <NA>                <NA>                <NA>       NA     <NA> #> 365 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 366 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 367       <NA>                <NA>                <NA>       NA     <NA> #> 368       <NA>                <NA>                <NA>       NA     <NA> #> 369 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 370 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 371       <NA>                <NA>                <NA>       NA     <NA> #> 372       <NA>                <NA>                <NA>       NA     <NA> #> 373       <NA>                <NA>                <NA>       NA     <NA> #> 374       <NA>                <NA>                <NA>       NA     <NA> #> 375       <NA>                <NA>                <NA>       NA     <NA> #> 376       <NA>                <NA>                <NA>       NA     <NA> #> 377 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 378 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 379       <NA>                <NA>                <NA>       NA     <NA> #> 380       <NA>                <NA>                <NA>       NA     <NA> #> 381       <NA>                <NA>                <NA>       NA     <NA> #> 382       <NA>                <NA>                <NA>       NA     <NA> #> 383       <NA>                <NA>                <NA>       NA     <NA> #> 384       <NA>                <NA>                <NA>       NA     <NA> #> 385 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 386 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 387       <NA>                <NA>                <NA>       NA     <NA> #> 388       <NA>                <NA>                <NA>       NA     <NA> #> 389 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 390 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 391       <NA>                <NA>                <NA>       NA     <NA> #> 392       <NA>                <NA>                <NA>       NA     <NA> #> 393       <NA>                <NA>                <NA>       NA     <NA> #> 394       <NA>                <NA>                <NA>       NA     <NA> #> 395       <NA>                <NA>                <NA>       NA     <NA> #> 396       <NA>                <NA>                <NA>       NA     <NA> #> 397 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 398 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 399       <NA>                <NA>                <NA>       NA     <NA> #> 400       <NA>                <NA>                <NA>       NA     <NA> #> 401       <NA>                <NA>                <NA>       NA     <NA> #> 402       <NA>                <NA>                <NA>       NA     <NA> #> 403       <NA>                <NA>                <NA>       NA     <NA> #> 404       <NA>                <NA>                <NA>       NA     <NA> #> 405 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 406 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 407       <NA>                <NA>                <NA>       NA     <NA> #> 408       <NA>                <NA>                <NA>       NA     <NA> #> 409 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 410 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 411       <NA>                <NA>                <NA>       NA     <NA> #> 412       <NA>                <NA>                <NA>       NA     <NA> #> 413       <NA>                <NA>                <NA>       NA     <NA> #> 414       <NA>                <NA>                <NA>       NA     <NA> #> 415       <NA>                <NA>                <NA>       NA     <NA> #> 416       <NA>                <NA>                <NA>       NA     <NA> #> 417 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 418 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 419       <NA>                <NA>                <NA>       NA     <NA> #> 420       <NA>                <NA>                <NA>       NA     <NA> #> 421       <NA>                <NA>                <NA>       NA     <NA> #> 422       <NA>                <NA>                <NA>       NA     <NA> #> 423       <NA>                <NA>                <NA>       NA     <NA> #> 424       <NA>                <NA>                <NA>       NA     <NA> #> 425 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 426 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 427       <NA>                <NA>                <NA>       NA     <NA> #> 428       <NA>                <NA>                <NA>       NA     <NA> #> 429 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 430 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 431       <NA>                <NA>                <NA>       NA     <NA> #> 432       <NA>                <NA>                <NA>       NA     <NA> #> 433       <NA>                <NA>                <NA>       NA     <NA> #> 434       <NA>                <NA>                <NA>       NA     <NA> #> 435       <NA>                <NA>                <NA>       NA     <NA> #> 436       <NA>                <NA>                <NA>       NA     <NA> #> 437 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 438 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 439       <NA>                <NA>                <NA>       NA     <NA> #> 440       <NA>                <NA>                <NA>       NA     <NA> #> 441       <NA>                <NA>                <NA>       NA     <NA> #> 442       <NA>                <NA>                <NA>       NA     <NA> #> 443 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 444       <NA>                <NA>                <NA>       NA     <NA> #> 445 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 446       <NA>                <NA>                <NA>       NA     <NA> #> 447       <NA>                <NA>                <NA>       NA     <NA> #> 448       <NA>                <NA>                <NA>       NA     <NA> #> 449 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 450       <NA>                <NA>                <NA>       NA     <NA> #> 451       <NA>                <NA>                <NA>       NA     <NA> #> 452       <NA>                <NA>                <NA>       NA     <NA> #> 453 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 454       <NA>                <NA>                <NA>       NA     <NA> #> 455 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 456       <NA>                <NA>                <NA>       NA     <NA> #> 457       <NA>                <NA>                <NA>       NA     <NA> #> 458       <NA>                <NA>                <NA>       NA     <NA> #> 459 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 460       <NA>                <NA>                <NA>       NA     <NA> #> 461       <NA>                <NA>                <NA>       NA     <NA> #> 462       <NA>                <NA>                <NA>       NA     <NA> #> 463 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 464       <NA>                <NA>                <NA>       NA     <NA> #> 465 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 466       <NA>                <NA>                <NA>       NA     <NA> #> 467       <NA>                <NA>                <NA>       NA     <NA> #> 468       <NA>                <NA>                <NA>       NA     <NA> #> 469 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 470       <NA>                <NA>                <NA>       NA     <NA> #> 471       <NA>                <NA>                <NA>       NA     <NA> #> 472       <NA>                <NA>                <NA>       NA     <NA> #> 473 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 474       <NA>                <NA>                <NA>       NA     <NA> #> 475 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 476       <NA>                <NA>                <NA>       NA     <NA> #> 477       <NA>                <NA>                <NA>       NA     <NA> #> 478       <NA>                <NA>                <NA>       NA     <NA> #> 479 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 480       <NA>                <NA>                <NA>       NA     <NA> #> 481       <NA>                <NA>                <NA>       NA     <NA> #> 482       <NA>                <NA>                <NA>       NA     <NA> #> 483 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 484       <NA>                <NA>                <NA>       NA     <NA> #> 485 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 486       <NA>                <NA>                <NA>       NA     <NA> #> 487       <NA>                <NA>                <NA>       NA     <NA> #> 488       <NA>                <NA>                <NA>       NA     <NA> #> 489 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 490       <NA>                <NA>                <NA>       NA     <NA> #> 491       <NA>                <NA>                <NA>       NA     <NA> #> 492       <NA>                <NA>                <NA>       NA     <NA> #> 493 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 494       <NA>                <NA>                <NA>       NA     <NA> #> 495 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 496       <NA>                <NA>                <NA>       NA     <NA> #> 497       <NA>                <NA>                <NA>       NA     <NA> #> 498       <NA>                <NA>                <NA>       NA     <NA> #> 499 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 500       <NA>                <NA>                <NA>       NA     <NA> #> 501       <NA>                <NA>                <NA>       NA     <NA> #> 502       <NA>                <NA>                <NA>       NA     <NA> #> 503 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 504       <NA>                <NA>                <NA>       NA     <NA> #> 505 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 506       <NA>                <NA>                <NA>       NA     <NA> #> 507       <NA>                <NA>                <NA>       NA     <NA> #> 508       <NA>                <NA>                <NA>       NA     <NA> #> 509 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 510       <NA>                <NA>                <NA>       NA     <NA> #> 511       <NA>                <NA>                <NA>       NA     <NA> #> 512       <NA>                <NA>                <NA>       NA     <NA> #> 513 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 514       <NA>                <NA>                <NA>       NA     <NA> #> 515 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 516       <NA>                <NA>                <NA>       NA     <NA> #> 517       <NA>                <NA>                <NA>       NA     <NA> #> 518       <NA>                <NA>                <NA>       NA     <NA> #> 519 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 520       <NA>                <NA>                <NA>       NA     <NA> #> 521       <NA>                <NA>                <NA>       NA     <NA> #> 522       <NA>                <NA>                <NA>       NA     <NA> #> 523 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 524       <NA>                <NA>                <NA>       NA     <NA> #> 525 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 526       <NA>                <NA>                <NA>       NA     <NA> #> 527       <NA>                <NA>                <NA>       NA     <NA> #> 528       <NA>                <NA>                <NA>       NA     <NA> #> 529 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 530       <NA>                <NA>                <NA>       NA     <NA> #> 531       <NA>                <NA>                <NA>       NA     <NA> #> 532       <NA>                <NA>                <NA>       NA     <NA> #> 533 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 534       <NA>                <NA>                <NA>       NA     <NA> #> 535 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 536       <NA>                <NA>                <NA>       NA     <NA> #> 537       <NA>                <NA>                <NA>       NA     <NA> #> 538       <NA>                <NA>                <NA>       NA     <NA> #> 539 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 540       <NA>                <NA>                <NA>       NA     <NA> #> 541       <NA>                <NA>                <NA>       NA     <NA> #> 542       <NA>                <NA>                <NA>       NA     <NA> #> 543 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 544       <NA>                <NA>                <NA>       NA     <NA> #> 545 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 546       <NA>                <NA>                <NA>       NA     <NA> #> 547       <NA>                <NA>                <NA>       NA     <NA> #> 548       <NA>                <NA>                <NA>       NA     <NA> #> 549 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 550       <NA>                <NA>                <NA>       NA     <NA> #> 551       <NA>                <NA>                <NA>       NA     <NA> #> 552       <NA>                <NA>                <NA>       NA     <NA> #> 553 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 554       <NA>                <NA>                <NA>       NA     <NA> #> 555 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 556       <NA>                <NA>                <NA>       NA     <NA> #> 557       <NA>                <NA>                <NA>       NA     <NA> #> 558       <NA>                <NA>                <NA>       NA     <NA> #> 559 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 560       <NA>                <NA>                <NA>       NA     <NA> #> 561       <NA>                <NA>                <NA>       NA     <NA> #> 562       <NA>                <NA>                <NA>       NA     <NA> #> 563 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 564       <NA>                <NA>                <NA>       NA     <NA> #> 565 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 566       <NA>                <NA>                <NA>       NA     <NA> #> 567       <NA>                <NA>                <NA>       NA     <NA> #> 568       <NA>                <NA>                <NA>       NA     <NA> #> 569 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 570       <NA>                <NA>                <NA>       NA     <NA> #> 571       <NA>                <NA>                <NA>       NA     <NA> #> 572       <NA>                <NA>                <NA>       NA     <NA> #> 573 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 574       <NA>                <NA>                <NA>       NA     <NA> #> 575 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 576       <NA>                <NA>                <NA>       NA     <NA> #> 577       <NA>                <NA>                <NA>       NA     <NA> #> 578       <NA>                <NA>                <NA>       NA     <NA> #> 579 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 580       <NA>                <NA>                <NA>       NA     <NA> #> 581       <NA>                <NA>                <NA>       NA     <NA> #> 582       <NA>                <NA>                <NA>       NA     <NA> #> 583       <NA>                <NA>                <NA>       NA     <NA> #> 584       <NA>                <NA>                <NA>       NA     <NA> #> 585 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 586 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 587       <NA>                <NA>                <NA>       NA     <NA> #> 588       <NA>                <NA>                <NA>       NA     <NA> #> 589 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 590 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 591       <NA>                <NA>                <NA>       NA     <NA> #> 592       <NA>                <NA>                <NA>       NA     <NA> #> 593       <NA>                <NA>                <NA>       NA     <NA> #> 594       <NA>                <NA>                <NA>       NA     <NA> #> 595       <NA>                <NA>                <NA>       NA     <NA> #> 596       <NA>                <NA>                <NA>       NA     <NA> #> 597 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 598 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 599       <NA>                <NA>                <NA>       NA     <NA> #> 600       <NA>                <NA>                <NA>       NA     <NA> #> 601       <NA>                <NA>                <NA>       NA     <NA> #> 602       <NA>                <NA>                <NA>       NA     <NA> #> 603       <NA>                <NA>                <NA>       NA     <NA> #> 604       <NA>                <NA>                <NA>       NA     <NA> #> 605 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 606 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 607       <NA>                <NA>                <NA>       NA     <NA> #> 608       <NA>                <NA>                <NA>       NA     <NA> #> 609 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 610 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 611       <NA>                <NA>                <NA>       NA     <NA> #> 612       <NA>                <NA>                <NA>       NA     <NA> #> 613       <NA>                <NA>                <NA>       NA     <NA> #> 614       <NA>                <NA>                <NA>       NA     <NA> #> 615       <NA>                <NA>                <NA>       NA     <NA> #> 616       <NA>                <NA>                <NA>       NA     <NA> #> 617 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 618 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 619       <NA>                <NA>                <NA>       NA     <NA> #> 620       <NA>                <NA>                <NA>       NA     <NA> #> 621       <NA>                <NA>                <NA>       NA     <NA> #> 622       <NA>                <NA>                <NA>       NA     <NA> #> 623       <NA>                <NA>                <NA>       NA     <NA> #> 624       <NA>                <NA>                <NA>       NA     <NA> #> 625 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 626 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 627       <NA>                <NA>                <NA>       NA     <NA> #> 628       <NA>                <NA>                <NA>       NA     <NA> #> 629 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 630 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 631       <NA>                <NA>                <NA>       NA     <NA> #> 632       <NA>                <NA>                <NA>       NA     <NA> #> 633       <NA>                <NA>                <NA>       NA     <NA> #> 634       <NA>                <NA>                <NA>       NA     <NA> #> 635       <NA>                <NA>                <NA>       NA     <NA> #> 636       <NA>                <NA>                <NA>       NA     <NA> #> 637 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 638 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 639       <NA>                <NA>                <NA>       NA     <NA> #> 640       <NA>                <NA>                <NA>       NA     <NA> #> 641       <NA>                <NA>                <NA>       NA     <NA> #> 642       <NA>                <NA>                <NA>       NA     <NA> #> 643       <NA>                <NA>                <NA>       NA     <NA> #> 644       <NA>                <NA>                <NA>       NA     <NA> #> 645 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 646 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 647       <NA>                <NA>                <NA>       NA     <NA> #> 648       <NA>                <NA>                <NA>       NA     <NA> #> 649 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 650 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 651       <NA>                <NA>                <NA>       NA     <NA> #> 652       <NA>                <NA>                <NA>       NA     <NA> #> 653       <NA>                <NA>                <NA>       NA     <NA> #> 654       <NA>                <NA>                <NA>       NA     <NA> #> 655       <NA>                <NA>                <NA>       NA     <NA> #> 656       <NA>                <NA>                <NA>       NA     <NA> #> 657 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 658 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 659       <NA>                <NA>                <NA>       NA     <NA> #> 660       <NA>                <NA>                <NA>       NA     <NA> #>       LSTALVDT DTHADY ADTHAUT             PPCAT       PPSPEC #> 1   2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 2   2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 3   2021-11-23    671     Yes     Plasma Drug X       Plasma #> 4         <NA>     NA    <NA>     Plasma Drug X       Plasma #> 5   2021-09-27    512     Yes     Plasma Drug X       Plasma #> 6   2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 7   2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 8   2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 9   2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 10  2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 11  2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 12  2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 13  2021-11-23    671     Yes Metabolite Drug X       Plasma #> 14        <NA>     NA    <NA> Metabolite Drug X       Plasma #> 15  2021-09-27    512     Yes Metabolite Drug X       Plasma #> 16  2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 17  2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 18  2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 19  2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 20  2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 21  2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 22  2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 23  2021-11-23    671     Yes     Plasma Drug X       Plasma #> 24        <NA>     NA    <NA>     Plasma Drug X       Plasma #> 25  2021-09-27    512     Yes     Plasma Drug X       Plasma #> 26  2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 27  2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 28  2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 29  2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 30  2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 31  2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 32  2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 33  2021-11-23    671     Yes Metabolite Drug X       Plasma #> 34        <NA>     NA    <NA> Metabolite Drug X       Plasma #> 35  2021-09-27    512     Yes Metabolite Drug X       Plasma #> 36  2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 37  2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 38  2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 39  2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 40  2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 41  2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 42  2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 43  2021-11-23    671     Yes     Plasma Drug X       Plasma #> 44        <NA>     NA    <NA>     Plasma Drug X       Plasma #> 45  2021-09-27    512     Yes     Plasma Drug X       Plasma #> 46  2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 47  2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 48  2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 49  2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 50  2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 51  2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 52  2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 53  2021-11-23    671     Yes Metabolite Drug X       Plasma #> 54        <NA>     NA    <NA> Metabolite Drug X       Plasma #> 55  2021-09-27    512     Yes Metabolite Drug X       Plasma #> 56  2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 57  2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 58  2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 59  2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 60  2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 61  2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 62  2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 63  2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 64        <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 65  2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 66  2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 67  2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 68  2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 69  2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 70  2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 71  2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 72  2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 73  2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 74        <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 75  2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 76  2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 77  2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 78  2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 79  2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 80  2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 81  2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 82  2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 83  2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 84        <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 85  2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 86  2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 87  2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 88  2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 89  2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 90  2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 91  2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 92  2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 93  2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 94        <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 95  2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 96  2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 97  2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 98  2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 99  2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 100 2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 101 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 102 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 103 2021-11-23    671     Yes     Plasma Drug X        Urine #> 104       <NA>     NA    <NA>     Plasma Drug X        Urine #> 105 2021-09-27    512     Yes     Plasma Drug X        Urine #> 106 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 107 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 108 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 109 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 110 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 111 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 112 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 113 2021-11-23    671     Yes Metabolite Drug X        Urine #> 114       <NA>     NA    <NA> Metabolite Drug X        Urine #> 115 2021-09-27    512     Yes Metabolite Drug X        Urine #> 116 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 117 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 118 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 119 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 120 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 121 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 122 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 123 2021-11-23    671     Yes     Plasma Drug X        Urine #> 124       <NA>     NA    <NA>     Plasma Drug X        Urine #> 125 2021-09-27    512     Yes     Plasma Drug X        Urine #> 126 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 127 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 128 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 129 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 130 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 131 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 132 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 133 2021-11-23    671     Yes Metabolite Drug X        Urine #> 134       <NA>     NA    <NA> Metabolite Drug X        Urine #> 135 2021-09-27    512     Yes Metabolite Drug X        Urine #> 136 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 137 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 138 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 139 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 140 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 141 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 142 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 143 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 144 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 145 2021-11-23    671     Yes     Plasma Drug X        Urine #> 146 2021-11-23    671     Yes     Plasma Drug X        Urine #> 147       <NA>     NA    <NA>     Plasma Drug X        Urine #> 148       <NA>     NA    <NA>     Plasma Drug X        Urine #> 149 2021-09-27    512     Yes     Plasma Drug X        Urine #> 150 2021-09-27    512     Yes     Plasma Drug X        Urine #> 151 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 152 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 153 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 154 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 155 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 156 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 157 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 158 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 159 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 160 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 161 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 162 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 163 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 164 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 165 2021-11-23    671     Yes Metabolite Drug X        Urine #> 166 2021-11-23    671     Yes Metabolite Drug X        Urine #> 167       <NA>     NA    <NA> Metabolite Drug X        Urine #> 168       <NA>     NA    <NA> Metabolite Drug X        Urine #> 169 2021-09-27    512     Yes Metabolite Drug X        Urine #> 170 2021-09-27    512     Yes Metabolite Drug X        Urine #> 171 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 172 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 173 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 174 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 175 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 176 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 177 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 178 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 179 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 180 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 181 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 182 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 183 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 184 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 185 2021-11-23    671     Yes     Plasma Drug X        Urine #> 186 2021-11-23    671     Yes     Plasma Drug X        Urine #> 187       <NA>     NA    <NA>     Plasma Drug X        Urine #> 188       <NA>     NA    <NA>     Plasma Drug X        Urine #> 189 2021-09-27    512     Yes     Plasma Drug X        Urine #> 190 2021-09-27    512     Yes     Plasma Drug X        Urine #> 191 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 192 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 193 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 194 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 195 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 196 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 197 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 198 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 199 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 200 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 201 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 202 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 203 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 204 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 205 2021-11-23    671     Yes Metabolite Drug X        Urine #> 206 2021-11-23    671     Yes Metabolite Drug X        Urine #> 207       <NA>     NA    <NA> Metabolite Drug X        Urine #> 208       <NA>     NA    <NA> Metabolite Drug X        Urine #> 209 2021-09-27    512     Yes Metabolite Drug X        Urine #> 210 2021-09-27    512     Yes Metabolite Drug X        Urine #> 211 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 212 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 213 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 214 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 215 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 216 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 217 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 218 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 219 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 220 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 221 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 222 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 223 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 224       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 225 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 226 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 227 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 228 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 229 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 230 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 231 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 232 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 233 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 234       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 235 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 236 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 237 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 238 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 239 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 240 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 241 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 242 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 243 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 244       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 245 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 246 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 247 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 248 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 249 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 250 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 251 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 252 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 253 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 254       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 255 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 256 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 257 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 258 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 259 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 260 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 261 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 262 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 263 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 264       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 265 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 266 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 267 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 268 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 269 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 270 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 271 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 272 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 273 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 274       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 275 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 276 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 277 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 278 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 279 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 280 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 281 2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 282 2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 283 2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 284       <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 285 2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 286 2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 287 2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 288 2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 289 2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 290 2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 291 2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 292 2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 293 2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 294       <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 295 2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 296 2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 297 2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 298 2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 299 2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 300 2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 301 2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 302 2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 303 2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 304       <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 305 2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 306 2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 307 2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 308 2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 309 2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 310 2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 311 2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 312 2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 313 2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 314       <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 315 2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 316 2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 317 2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 318 2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 319 2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 320 2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 321 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 322 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 323 2021-11-23    671     Yes     Plasma Drug X        Urine #> 324       <NA>     NA    <NA>     Plasma Drug X        Urine #> 325 2021-09-27    512     Yes     Plasma Drug X        Urine #> 326 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 327 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 328 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 329 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 330 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 331 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 332 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 333 2021-11-23    671     Yes Metabolite Drug X        Urine #> 334       <NA>     NA    <NA> Metabolite Drug X        Urine #> 335 2021-09-27    512     Yes Metabolite Drug X        Urine #> 336 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 337 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 338 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 339 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 340 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 341 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 342 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 343 2021-11-23    671     Yes     Plasma Drug X        Urine #> 344       <NA>     NA    <NA>     Plasma Drug X        Urine #> 345 2021-09-27    512     Yes     Plasma Drug X        Urine #> 346 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 347 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 348 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 349 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 350 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 351 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 352 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 353 2021-11-23    671     Yes Metabolite Drug X        Urine #> 354       <NA>     NA    <NA> Metabolite Drug X        Urine #> 355 2021-09-27    512     Yes Metabolite Drug X        Urine #> 356 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 357 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 358 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 359 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 360 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 361 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 362 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 363 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 364 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 365 2021-11-23    671     Yes     Plasma Drug X        Urine #> 366 2021-11-23    671     Yes     Plasma Drug X        Urine #> 367       <NA>     NA    <NA>     Plasma Drug X        Urine #> 368       <NA>     NA    <NA>     Plasma Drug X        Urine #> 369 2021-09-27    512     Yes     Plasma Drug X        Urine #> 370 2021-09-27    512     Yes     Plasma Drug X        Urine #> 371 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 372 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 373 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 374 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 375 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 376 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 377 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 378 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 379 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 380 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 381 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 382 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 383 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 384 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 385 2021-11-23    671     Yes Metabolite Drug X        Urine #> 386 2021-11-23    671     Yes Metabolite Drug X        Urine #> 387       <NA>     NA    <NA> Metabolite Drug X        Urine #> 388       <NA>     NA    <NA> Metabolite Drug X        Urine #> 389 2021-09-27    512     Yes Metabolite Drug X        Urine #> 390 2021-09-27    512     Yes Metabolite Drug X        Urine #> 391 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 392 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 393 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 394 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 395 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 396 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 397 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 398 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 399 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 400 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 401 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 402 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 403 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 404 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 405 2021-11-23    671     Yes     Plasma Drug X        Urine #> 406 2021-11-23    671     Yes     Plasma Drug X        Urine #> 407       <NA>     NA    <NA>     Plasma Drug X        Urine #> 408       <NA>     NA    <NA>     Plasma Drug X        Urine #> 409 2021-09-27    512     Yes     Plasma Drug X        Urine #> 410 2021-09-27    512     Yes     Plasma Drug X        Urine #> 411 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 412 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 413 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 414 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 415 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 416 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 417 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 418 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 419 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 420 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 421 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 422 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 423 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 424 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 425 2021-11-23    671     Yes Metabolite Drug X        Urine #> 426 2021-11-23    671     Yes Metabolite Drug X        Urine #> 427       <NA>     NA    <NA> Metabolite Drug X        Urine #> 428       <NA>     NA    <NA> Metabolite Drug X        Urine #> 429 2021-09-27    512     Yes Metabolite Drug X        Urine #> 430 2021-09-27    512     Yes Metabolite Drug X        Urine #> 431 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 432 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 433 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 434 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 435 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 436 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 437 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 438 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 439 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 440 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 441 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 442 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 443 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 444       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 445 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 446 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 447 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 448 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 449 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 450 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 451 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 452 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 453 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 454       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 455 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 456 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 457 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 458 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 459 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 460 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 461 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 462 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 463 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 464       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 465 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 466 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 467 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 468 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 469 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 470 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 471 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 472 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 473 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 474       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 475 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 476 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 477 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 478 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 479 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 480 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 481 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 482 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 483 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 484       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 485 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 486 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 487 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 488 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 489 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 490 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 491 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 492 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 493 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 494       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 495 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 496 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 497 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 498 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 499 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 500 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 501 2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 502 2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 503 2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 504       <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 505 2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 506 2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 507 2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 508 2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 509 2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 510 2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 511 2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 512 2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 513 2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 514       <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 515 2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 516 2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 517 2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 518 2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 519 2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 520 2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 521 2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 522 2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 523 2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 524       <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 525 2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 526 2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 527 2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 528 2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 529 2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 530 2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 531 2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 532 2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 533 2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 534       <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 535 2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 536 2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 537 2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 538 2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 539 2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 540 2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 541 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 542 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 543 2021-11-23    671     Yes     Plasma Drug X        Urine #> 544       <NA>     NA    <NA>     Plasma Drug X        Urine #> 545 2021-09-27    512     Yes     Plasma Drug X        Urine #> 546 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 547 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 548 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 549 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 550 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 551 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 552 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 553 2021-11-23    671     Yes Metabolite Drug X        Urine #> 554       <NA>     NA    <NA> Metabolite Drug X        Urine #> 555 2021-09-27    512     Yes Metabolite Drug X        Urine #> 556 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 557 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 558 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 559 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 560 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 561 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 562 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 563 2021-11-23    671     Yes     Plasma Drug X        Urine #> 564       <NA>     NA    <NA>     Plasma Drug X        Urine #> 565 2021-09-27    512     Yes     Plasma Drug X        Urine #> 566 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 567 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 568 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 569 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 570 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 571 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 572 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 573 2021-11-23    671     Yes Metabolite Drug X        Urine #> 574       <NA>     NA    <NA> Metabolite Drug X        Urine #> 575 2021-09-27    512     Yes Metabolite Drug X        Urine #> 576 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 577 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 578 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 579 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 580 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 581 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 582 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 583 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 584 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 585 2021-11-23    671     Yes     Plasma Drug X        Urine #> 586 2021-11-23    671     Yes     Plasma Drug X        Urine #> 587       <NA>     NA    <NA>     Plasma Drug X        Urine #> 588       <NA>     NA    <NA>     Plasma Drug X        Urine #> 589 2021-09-27    512     Yes     Plasma Drug X        Urine #> 590 2021-09-27    512     Yes     Plasma Drug X        Urine #> 591 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 592 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 593 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 594 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 595 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 596 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 597 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 598 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 599 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 600 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 601 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 602 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 603 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 604 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 605 2021-11-23    671     Yes Metabolite Drug X        Urine #> 606 2021-11-23    671     Yes Metabolite Drug X        Urine #> 607       <NA>     NA    <NA> Metabolite Drug X        Urine #> 608       <NA>     NA    <NA> Metabolite Drug X        Urine #> 609 2021-09-27    512     Yes Metabolite Drug X        Urine #> 610 2021-09-27    512     Yes Metabolite Drug X        Urine #> 611 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 612 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 613 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 614 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 615 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 616 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 617 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 618 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 619 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 620 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 621 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 622 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 623 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 624 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 625 2021-11-23    671     Yes     Plasma Drug X        Urine #> 626 2021-11-23    671     Yes     Plasma Drug X        Urine #> 627       <NA>     NA    <NA>     Plasma Drug X        Urine #> 628       <NA>     NA    <NA>     Plasma Drug X        Urine #> 629 2021-09-27    512     Yes     Plasma Drug X        Urine #> 630 2021-09-27    512     Yes     Plasma Drug X        Urine #> 631 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 632 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 633 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 634 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 635 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 636 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 637 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 638 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 639 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 640 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 641 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 642 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 643 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 644 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 645 2021-11-23    671     Yes Metabolite Drug X        Urine #> 646 2021-11-23    671     Yes Metabolite Drug X        Urine #> 647       <NA>     NA    <NA> Metabolite Drug X        Urine #> 648       <NA>     NA    <NA> Metabolite Drug X        Urine #> 649 2021-09-27    512     Yes Metabolite Drug X        Urine #> 650 2021-09-27    512     Yes Metabolite Drug X        Urine #> 651 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 652 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 653 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 654 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 655 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 656 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 657 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 658 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 659 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 660 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #>                        PARAM  PARAMCD PPSTINT PPENINT        AVISIT AVISITN #> 1           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 2           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 3           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 4           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 5           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 6           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 7           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 8           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 9           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 10          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 11          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 12          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 13          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 14          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 15          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 16          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 17          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 18          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 19          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 20          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 21                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 22                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 23                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 24                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 25                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 26                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 27                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 28                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 29                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 30                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 31                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 32                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 33                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 34                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 35                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 36                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 37                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 38                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 39                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 40                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 41              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 42              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 43              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 44              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 45              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 46              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 47              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 48              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 49              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 50              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 51              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 52              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 53              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 54              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 55              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 56              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 57              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 58              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 59              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 60              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 61  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 62  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 63  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 64  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 65  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 66  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 67  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 68  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 69  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 70  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 71  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 72  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 73  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 74  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 75  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 76  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 77  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 78  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 79  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 80  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 81             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 82             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 83             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 84             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 85             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 86             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 87             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 88             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 89             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 90             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 91             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 92             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 93             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 94             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 95             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 96             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 97             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 98             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 99             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 100            Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 101                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 102                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 103                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 104                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 105                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 106                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 107                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 108                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 109                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 110                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 111                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 112                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 113                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 114                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 115                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 116                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 117                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 118                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 119                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 120                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 121    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 122    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 123    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 124    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 125    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 126    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 127    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 128    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 129    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 130    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 131    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 132    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 133    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 134    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 135    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 136    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 137    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 138    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 139    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 140    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 141    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 142    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 143    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 144    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 145    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 146    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 147    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 148    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 149    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 150    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 151    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 152    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 153    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 154    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 155    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 156    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 157    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 158    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 159    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 160    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 161    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 162    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 163    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 164    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 165    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 166    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 167    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 168    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 169    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 170    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 171    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 172    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 173    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 174    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 175    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 176    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 177    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 178    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 179    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 180    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 181    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 182    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 183    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 184    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 185    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 186    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 187    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 188    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 189    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 190    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 191    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 192    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 193    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 194    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 195    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 196    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 197    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 198    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 199    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 200    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 201    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 202    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 203    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 204    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 205    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 206    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 207    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 208    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 209    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 210    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 211    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 212    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 213    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 214    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 215    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 216    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 217    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 218    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 219    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 220    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 221         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 222         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 223         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 224         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 225         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 226         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 227         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 228         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 229         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 230         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 231         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 232         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 233         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 234         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 235         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 236         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 237         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 238         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 239         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 240         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 241                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 242                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 243                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 244                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 245                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 246                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 247                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 248                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 249                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 250                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 251                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 252                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 253                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 254                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 255                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 256                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 257                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 258                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 259                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 260                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 261             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 262             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 263             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 264             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 265             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 266             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 267             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 268             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 269             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 270             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 271             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 272             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 273             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 274             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 275             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 276             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 277             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 278             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 279             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 280             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 281 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 282 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 283 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 284 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 285 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 286 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 287 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 288 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 289 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 290 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 291 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 292 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 293 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 294 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 295 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 296 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 297 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 298 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 299 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 300 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 301            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 302            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 303            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 304            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 305            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 306            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 307            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 308            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 309            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 310            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 311            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 312            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 313            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 314            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 315            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 316            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 317            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 318            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 319            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 320            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 321                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 322                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 323                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 324                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 325                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 326                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 327                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 328                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 329                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 330                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 331                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 332                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 333                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 334                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 335                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 336                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 337                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 338                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 339                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 340                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 341    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 342    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 343    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 344    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 345    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 346    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 347    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 348    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 349    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 350    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 351    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 352    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 353    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 354    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 355    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 356    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 357    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 358    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 359    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 360    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 361    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 362    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 363    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 364    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 365    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 366    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 367    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 368    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 369    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 370    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 371    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 372    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 373    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 374    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 375    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 376    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 377    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 378    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 379    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 380    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 381    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 382    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 383    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 384    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 385    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 386    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 387    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 388    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 389    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 390    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 391    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 392    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 393    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 394    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 395    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 396    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 397    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 398    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 399    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 400    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 401    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 402    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 403    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 404    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 405    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 406    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 407    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 408    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 409    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 410    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 411    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 412    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 413    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 414    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 415    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 416    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 417    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 418    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 419    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 420    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 421    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 422    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 423    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 424    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 425    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 426    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 427    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 428    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 429    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 430    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 431    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 432    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 433    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 434    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 435    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 436    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 437    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 438    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 439    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 440    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 441         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 442         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 443         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 444         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 445         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 446         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 447         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 448         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 449         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 450         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 451         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 452         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 453         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 454         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 455         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 456         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 457         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 458         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 459         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 460         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 461                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 462                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 463                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 464                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 465                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 466                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 467                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 468                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 469                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 470                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 471                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 472                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 473                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 474                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 475                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 476                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 477                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 478                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 479                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 480                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 481             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 482             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 483             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 484             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 485             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 486             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 487             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 488             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 489             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 490             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 491             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 492             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 493             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 494             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 495             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 496             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 497             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 498             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 499             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 500             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 501 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 502 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 503 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 504 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 505 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 506 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 507 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 508 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 509 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 510 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 511 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 512 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 513 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 514 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 515 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 516 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 517 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 518 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 519 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 520 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 521            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 522            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 523            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 524            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 525            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 526            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 527            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 528            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 529            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 530            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 531            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 532            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 533            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 534            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 535            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 536            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 537            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 538            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 539            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 540            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 541                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 542                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 543                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 544                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 545                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 546                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 547                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 548                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 549                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 550                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 551                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 552                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 553                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 554                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 555                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 556                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 557                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 558                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 559                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 560                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 561    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 562    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 563    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 564    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 565    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 566    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 567    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 568    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 569    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 570    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 571    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 572    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 573    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 574    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 575    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 576    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 577    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 578    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 579    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 580    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 581    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 582    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 583    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 584    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 585    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 586    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 587    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 588    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 589    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 590    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 591    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 592    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 593    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 594    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 595    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 596    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 597    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 598    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 599    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 600    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 601    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 602    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 603    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 604    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 605    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 606    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 607    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 608    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 609    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 610    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 611    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 612    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 613    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 614    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 615    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 616    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 617    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 618    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 619    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 620    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 621    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 622    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 623    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 624    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 625    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 626    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 627    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 628    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 629    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 630    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 631    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 632    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 633    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 634    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 635    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 636    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 637    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 638    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 639    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 640    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 641    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 642    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 643    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 644    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 645    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 646    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 647    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 648    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 649    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 650    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 651    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 652    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 653    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 654    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 655    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 656    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 657    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 658    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 659    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 660    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #>             AVAL               AVALC     AVALU REGIMEN PKARMCD #> 1   2.073940e+02     207.39396738587 day*ug/mL     BID  Drug A #> 2   2.635138e+02    263.513813248353 day*ug/mL     BID  Drug A #> 3   1.547850e+02    154.784973030149 day*ug/mL     BID  Drug A #> 4   1.967899e+02     196.78992973796 day*ug/mL     BID  Drug A #> 5   2.052968e+02    205.296811375244 day*ug/mL     BID  Drug A #> 6   2.283182e+02    228.318189170869 day*ug/mL     BID  Drug A #> 7   2.793790e+02    279.378957466117 day*ug/mL     BID  Drug A #> 8   1.944485e+02    194.448519515213 day*ug/mL     BID  Drug A #> 9   1.075572e+02    107.557236615793 day*ug/mL     BID  Drug A #> 10  2.172906e+02    217.290606181585 day*ug/mL     BID  Drug A #> 11  1.520030e+02    152.002967214245 day*ug/mL     BID  Drug A #> 12  2.635855e+02    263.585528011603 day*ug/mL     BID  Drug A #> 13  2.781861e+02     278.18606568893 day*ug/mL     BID  Drug A #> 14  2.001975e+02    200.197511073126 day*ug/mL     BID  Drug A #> 15  1.019317e+02    101.931744486155 day*ug/mL     BID  Drug A #> 16  2.190895e+02    219.089492104545 day*ug/mL     BID  Drug A #> 17  2.316881e+02    231.688130811986 day*ug/mL     BID  Drug A #> 18  2.115855e+02    211.585468407094 day*ug/mL     BID  Drug A #> 19  1.761736e+02    176.173580052329 day*ug/mL     BID  Drug A #> 20  1.901395e+02    190.139497306659 day*ug/mL     BID  Drug A #> 21  1.824538e+01    18.2453809489972     ug/mL     BID  Drug A #> 22  2.494977e+01    24.9497696391864     ug/mL     BID  Drug A #> 23  4.142128e+01    41.4212848040859     ug/mL     BID  Drug A #> 24  3.373496e+01    33.7349635807244     ug/mL     BID  Drug A #> 25  4.194552e+01    41.9455226134819     ug/mL     BID  Drug A #> 26  2.816710e+01    28.1670976509513     ug/mL     BID  Drug A #> 27  2.889503e+01    28.8950312906924     ug/mL     BID  Drug A #> 28  2.280739e+01    22.8073934081555     ug/mL     BID  Drug A #> 29  1.820473e+01     18.204730551316     ug/mL     BID  Drug A #> 30  4.002971e+01     40.029712603956     ug/mL     BID  Drug A #> 31  4.218746e+01    42.1874551125315     ug/mL     BID  Drug A #> 32  2.578113e+01    25.7811340020367     ug/mL     BID  Drug A #> 33  3.094899e+01    30.9489885753607     ug/mL     BID  Drug A #> 34  3.303741e+01    33.0374087848843     ug/mL     BID  Drug A #> 35  2.508003e+01    25.0800293663028     ug/mL     BID  Drug A #> 36  1.800692e+01    18.0069180302153     ug/mL     BID  Drug A #> 37  3.050508e+01    30.5050794259335     ug/mL     BID  Drug A #> 38  2.462708e+01    24.6270803360201     ug/mL     BID  Drug A #> 39  2.455734e+01    24.5573377464391     ug/mL     BID  Drug A #> 40  2.153977e+01    21.5397699560178     ug/mL     BID  Drug A #> 41  3.304235e+00    3.30423509662098 ml/day/kg     BID  Drug A #> 42  4.466628e+00     4.4666278574528 ml/day/kg     BID  Drug A #> 43  3.627731e+00    3.62773054885692 ml/day/kg     BID  Drug A #> 44  2.792080e+00    2.79208022119536 ml/day/kg     BID  Drug A #> 45  6.822123e+00    6.82212251875356 ml/day/kg     BID  Drug A #> 46  4.346607e+00    4.34660658918122 ml/day/kg     BID  Drug A #> 47  4.613050e+00    4.61305039635507 ml/day/kg     BID  Drug A #> 48  5.386695e+00    5.38669497464607 ml/day/kg     BID  Drug A #> 49  3.746895e+00     3.7468951006308 ml/day/kg     BID  Drug A #> 50  4.398840e+00    4.39883989484765 ml/day/kg     BID  Drug A #> 51  5.260598e+00    5.26059783509216 ml/day/kg     BID  Drug A #> 52  4.685728e+00    4.68572801982808 ml/day/kg     BID  Drug A #> 53  4.250370e+00    4.25036990451692 ml/day/kg     BID  Drug A #> 54  4.137802e+00    4.13780167031419 ml/day/kg     BID  Drug A #> 55  7.048040e+00    7.04804030304848 ml/day/kg     BID  Drug A #> 56  5.939920e+00    5.93992007761338 ml/day/kg     BID  Drug A #> 57  4.578626e+00    4.57862642759465 ml/day/kg     BID  Drug A #> 58  4.649166e+00    4.64916557685214 ml/day/kg     BID  Drug A #> 59  5.455980e+00    5.45598009048122 ml/day/kg     BID  Drug A #> 60  4.216683e+00    4.21668334299138 ml/day/kg     BID  Drug A #> 61  1.027772e+01     10.277716838207        hr     BID  Drug A #> 62  1.342126e+01    13.4212631764731        hr     BID  Drug A #> 63  9.138718e+00    9.13871805055402        hr     BID  Drug A #> 64  7.911541e+00    7.91154083814588        hr     BID  Drug A #> 65  1.107516e+01    11.0751590491611        hr     BID  Drug A #> 66  8.660828e+00    8.66082802569954        hr     BID  Drug A #> 67  6.552020e+00    6.55202033101487        hr     BID  Drug B #> 68  6.515140e+00    6.51513983931819        hr     BID  Drug B #> 69  1.240099e+01    12.4009893976439        hr     BID  Drug B #> 70  7.092380e+00    7.09238030637342        hr     BID  Drug B #> 71  1.081945e+01    10.8194479651006        hr     BID  Drug B #> 72  8.386037e+00    8.38603672917152        hr     BID  Drug B #> 73  1.017110e+01     10.171100881709        hr     BID  Drug B #> 74  1.149249e+01    11.4924863372795        hr     BID  Drug B #> 75  8.692654e+00    8.69265387733783        hr     BID  Drug B #> 76  1.131421e+01    11.3142119666039        hr     BID  Drug B #> 77  8.386541e+00    8.38654128313466        hr     BID  Drug B #> 78  8.005241e+00    8.00524056544753        hr     BID  Drug B #> 79  7.313779e+00    7.31377890163956        hr     BID  Drug B #> 80  1.133505e+01    11.3350453742705        hr     BID  Drug B #> 81  2.617157e+00    2.61715738144196        hr     BID  Drug B #> 82  2.839372e+00    2.83937225758589        hr     BID  Drug B #> 83  3.215928e+00    3.21592773893143        hr     BID  Drug B #> 84  2.212280e+00    2.21228034363557        hr     BID  Drug B #> 85  2.469618e+00    2.46961823419878        hr     BID  Drug B #> 86  4.246257e+00    4.24625687675079        hr     BID  Drug B #> 87  2.256896e+00    2.25689642080303        hr     BID  Drug B #> 88  3.594260e+00    3.59425985379842        hr     BID  Drug B #> 89  2.608690e+00    2.60868969097793        hr     BID  Drug B #> 90  2.025444e+00    2.02544449592404        hr     BID  Drug B #> 91  2.242842e+00     2.2428424128162        hr     BID  Drug B #> 92  3.235311e+00    3.23531077553789        hr     BID  Drug B #> 93  2.321137e+00    2.32113704300777        hr     BID  Drug B #> 94  3.326487e+00     3.3264866904049        hr     BID  Drug B #> 95  3.705965e+00    3.70596536084074        hr     BID  Drug B #> 96  3.015137e+00    3.01513714154342        hr     BID  Drug B #> 97  2.607534e+00    2.60753414398955        hr     BID  Drug B #> 98  3.302185e+00    3.30218519449654        hr     BID  Drug B #> 99  3.420341e+00    3.42034067724912        hr     BID  Drug B #> 100 2.552149e+00    2.55214859122596        hr     BID  Drug B #> 101 3.980448e-02  0.0398044780278161      L/hr     BID  Drug B #> 102 7.870897e-02  0.0787089742357224      L/hr     BID  Drug B #> 103 5.218710e-02  0.0521871001140455      L/hr     BID  Drug B #> 104 4.033446e-02  0.0403344567029888      L/hr     BID  Drug B #> 105 5.383838e-02  0.0538383818162237      L/hr     BID  Drug B #> 106 4.878104e-02  0.0487810392868168      L/hr     BID  Drug B #> 107 5.599464e-02  0.0559946362113066      L/hr     BID  Drug B #> 108 5.231274e-02  0.0523127407756568      L/hr     BID  Drug B #> 109 5.451464e-02  0.0545146372704554      L/hr     BID  Drug B #> 110 6.675649e-02  0.0667564857038408      L/hr     BID  Drug B #> 111 5.715519e-02  0.0571551913504198      L/hr     BID  Drug B #> 112 4.206805e-02  0.0420680486447439      L/hr     BID  Drug B #> 113 6.923852e-02  0.0692385164716385      L/hr     BID  Drug B #> 114 5.070440e-02  0.0507043998631405      L/hr     BID  Drug B #> 115 5.469280e-02  0.0546928003631325      L/hr     BID  Drug B #> 116 4.910148e-02  0.0491014790592931      L/hr     BID  Drug B #> 117 4.626290e-02  0.0462629012200858      L/hr     BID  Drug B #> 118 7.258252e-02   0.072582519032112      L/hr     BID  Drug B #> 119 3.946543e-02  0.0394654320061997      L/hr     BID  Drug B #> 120 4.412160e-02  0.0441216020905139      L/hr     BID  Drug B #> 121 7.888418e-03 0.00788841825453315   L/hr/mg     BID  Drug B #> 122 6.172825e-03 0.00617282535280265   L/hr/mg     BID  Drug B #> 123 5.549643e-03 0.00554964322049714   L/hr/mg     BID  Drug B #> 124 5.779105e-03 0.00577910451000461   L/hr/mg     BID  Drug B #> 125 4.434869e-03 0.00443486874919505   L/hr/mg     BID  Drug B #> 126 5.102954e-03 0.00510295428579596   L/hr/mg     BID  Drug B #> 127 4.525569e-03 0.00452556882627679   L/hr/mg     BID  Drug B #> 128 4.541996e-03  0.0045419957930031   L/hr/mg     BID  Drug B #> 129 5.483657e-03 0.00548365664924895   L/hr/mg     BID  Drug B #> 130 4.828681e-03 0.00482868053104018   L/hr/mg     BID  Drug B #> 131 4.901642e-03  0.0049016415649018   L/hr/mg     BID  Drug B #> 132 4.678005e-03 0.00467800452020614   L/hr/mg     BID  Drug B #> 133 3.085265e-03 0.00308526549888187   L/hr/mg     BID  Drug C #> 134 4.352959e-03 0.00435295860684754   L/hr/mg     BID  Drug C #> 135 3.600563e-03  0.0036005631531315   L/hr/mg     BID  Drug C #> 136 6.931174e-03 0.00693117426931381   L/hr/mg     BID  Drug C #> 137 5.527439e-03  0.0055274387465549   L/hr/mg     BID  Drug C #> 138 4.963309e-03  0.0049633087270729   L/hr/mg     BID  Drug C #> 139 6.605200e-03 0.00660519993687242   L/hr/mg     BID  Drug C #> 140 5.067243e-03   0.005067243215326   L/hr/mg     BID  Drug C #> 141 1.764119e+00    1.76411874235571        mg     BID  Drug C #> 142 1.764119e+00    1.76411874235571        mg     BID  Drug C #> 143 1.960790e+00    1.96079030879955        mg     BID  Drug C #> 144 1.960790e+00    1.96079030879955        mg     BID  Drug C #> 145 1.365138e+00    1.36513847496565        mg     BID  Drug C #> 146 1.365138e+00    1.36513847496565        mg     BID  Drug C #> 147 1.982955e+00    1.98295467761374        mg     BID  Drug C #> 148 1.982955e+00    1.98295467761374        mg     BID  Drug C #> 149 2.083583e+00    2.08358294600425        mg     BID  Drug C #> 150 2.083583e+00    2.08358294600425        mg     BID  Drug C #> 151 1.927497e+00    1.92749653160781        mg     BID  Drug C #> 152 1.927497e+00    1.92749653160781        mg     BID  Drug C #> 153 1.968959e+00    1.96895924576341        mg     BID  Drug C #> 154 1.968959e+00    1.96895924576341        mg     BID  Drug C #> 155 1.532264e+00     1.5322639317603        mg     BID  Drug C #> 156 1.532264e+00     1.5322639317603        mg     BID  Drug C #> 157 1.450731e+00    1.45073083832002        mg     BID  Drug C #> 158 1.450731e+00    1.45073083832002        mg     BID  Drug C #> 159 1.347570e+00    1.34756962839076        mg     BID  Drug C #> 160 1.347570e+00    1.34756962839076        mg     BID  Drug C #> 161 1.462785e+00    1.46278501309857        mg     BID  Drug C #> 162 1.462785e+00    1.46278501309857        mg     BID  Drug C #> 163 1.837438e+00     1.8374384887417        mg     BID  Drug C #> 164 1.837438e+00     1.8374384887417        mg     BID  Drug C #> 165 9.725583e-01   0.972558343089336        mg     BID  Drug C #> 166 9.725583e-01   0.972558343089336        mg     BID  Drug C #> 167 1.789930e+00    1.78993031703251        mg     BID  Drug C #> 168 1.789930e+00    1.78993031703251        mg     BID  Drug C #> 169 1.808155e+00    1.80815547676696        mg     BID  Drug C #> 170 1.808155e+00    1.80815547676696        mg     BID  Drug C #> 171 1.622145e+00    1.62214484895993        mg     BID  Drug C #> 172 1.622145e+00    1.62214484895993        mg     BID  Drug C #> 173 1.948957e+00    1.94895711536126        mg     BID  Drug C #> 174 1.948957e+00    1.94895711536126        mg     BID  Drug C #> 175 1.348598e+00    1.34859760533249        mg     BID  Drug C #> 176 1.348598e+00    1.34859760533249        mg     BID  Drug C #> 177 1.709727e+00    1.70972671844114        mg     BID  Drug C #> 178 1.709727e+00    1.70972671844114        mg     BID  Drug C #> 179 1.498655e+00    1.49865531043811        mg     BID  Drug C #> 180 1.498655e+00    1.49865531043811        mg     BID  Drug C #> 181 1.906066e+01    19.0606593982511         %     BID  Drug C #> 182 1.906066e+01    19.0606593982511         %     BID  Drug C #> 183 1.853470e+01    18.5347043375246         %     BID  Drug C #> 184 1.853470e+01    18.5347043375246         %     BID  Drug C #> 185 1.679105e+01    16.7910526358469         %     BID  Drug C #> 186 1.679105e+01    16.7910526358469         %     BID  Drug C #> 187 1.657381e+01    16.5738137242544         %     BID  Drug C #> 188 1.657381e+01    16.5738137242544         %     BID  Drug C #> 189 1.730874e+01    17.3087385487854         %     BID  Drug C #> 190 1.730874e+01    17.3087385487854         %     BID  Drug C #> 191 1.868231e+01    18.6823120820053         %     BID  Drug C #> 192 1.868231e+01    18.6823120820053         %     BID  Drug C #> 193 2.035374e+01    20.3537434913621         %     BID  Drug C #> 194 2.035374e+01    20.3537434913621         %     BID  Drug C #> 195 1.467398e+01    14.6739785352415         %     BID  Drug C #> 196 1.467398e+01    14.6739785352415         %     BID  Drug C #> 197 1.468849e+01    14.6884942412513         %     BID  Drug C #> 198 1.468849e+01    14.6884942412513         %     BID  Drug C #> 199 1.705123e+01    17.0512323675702         %     BID  Drug D #> 200 1.705123e+01    17.0512323675702         %     BID  Drug D #> 201 1.686207e+01    16.8620650165532         %     BID  Drug D #> 202 1.686207e+01    16.8620650165532         %     BID  Drug D #> 203 1.161576e+01    11.6157603926478         %     BID  Drug D #> 204 1.161576e+01    11.6157603926478         %     BID  Drug D #> 205 1.637462e+01    16.3746163882503         %     BID  Drug D #> 206 1.637462e+01    16.3746163882503         %     BID  Drug D #> 207 1.790406e+01    17.9040596466762         %     BID  Drug D #> 208 1.790406e+01    17.9040596466762         %     BID  Drug D #> 209 1.486302e+01    14.8630180836626         %     BID  Drug D #> 210 1.486302e+01    14.8630180836626         %     BID  Drug D #> 211 1.465154e+01    14.6515428842478         %     BID  Drug D #> 212 1.465154e+01    14.6515428842478         %     BID  Drug D #> 213 1.824239e+01    18.2423941922289         %     BID  Drug D #> 214 1.824239e+01    18.2423941922289         %     BID  Drug D #> 215 1.684814e+01    16.8481448037605         %     BID  Drug D #> 216 1.684814e+01    16.8481448037605         %     BID  Drug D #> 217 2.003020e+01    20.0301989085571         %     BID  Drug D #> 218 2.003020e+01    20.0301989085571         %     BID  Drug D #> 219 1.603567e+01    16.0356728762873         %     BID  Drug D #> 220 1.603567e+01    16.0356728762873         %     BID  Drug D #> 221 2.569303e+02    256.930323397261 day*ug/mL     BID  Drug D #> 222 1.856497e+02    185.649713489217 day*ug/mL     BID  Drug D #> 223 1.800903e+02    180.090271118783 day*ug/mL     BID  Drug D #> 224 1.246005e+02    124.600478569302 day*ug/mL     BID  Drug D #> 225 1.544149e+02    154.414948645762 day*ug/mL     BID  Drug D #> 226 1.817308e+02    181.730839284568 day*ug/mL     BID  Drug D #> 227 1.871925e+02    187.192507862157 day*ug/mL     BID  Drug D #> 228 2.016669e+02    201.666930339071 day*ug/mL     BID  Drug D #> 229 1.735024e+02    173.502365427007 day*ug/mL     BID  Drug D #> 230 2.300816e+02    230.081567035137 day*ug/mL     BID  Drug D #> 231 1.704501e+02    170.450066986327 day*ug/mL     BID  Drug D #> 232 2.057459e+02     205.74589445307 day*ug/mL     BID  Drug D #> 233 1.713991e+02    171.399124832234 day*ug/mL     BID  Drug D #> 234 2.526594e+02    252.659426654931 day*ug/mL     BID  Drug D #> 235 1.370293e+02    137.029307606063 day*ug/mL     BID  Drug D #> 236 2.018464e+02    201.846443236622 day*ug/mL     BID  Drug D #> 237 2.565252e+02    256.525152035038 day*ug/mL     BID  Drug D #> 238 2.331677e+02    233.167720266784 day*ug/mL     BID  Drug D #> 239 2.137131e+02    213.713139182808 day*ug/mL     BID  Drug D #> 240 2.367428e+02    236.742822103937 day*ug/mL     BID  Drug D #> 241 1.366910e+01    13.6691030124032     ug/mL     BID  Drug D #> 242 2.391443e+01    23.9144291009689     ug/mL     BID  Drug D #> 243 2.502513e+01     25.025129557273     ug/mL     BID  Drug D #> 244 3.514625e+01    35.1462533862398     ug/mL     BID  Drug D #> 245 2.856894e+01    28.5689392252466     ug/mL     BID  Drug D #> 246 2.578052e+01    25.7805249196983     ug/mL     BID  Drug D #> 247 3.688800e+01    36.8879999535218     ug/mL     BID  Drug D #> 248 3.001240e+01     30.012402131878     ug/mL     BID  Drug D #> 249 2.212304e+01    22.1230432333383     ug/mL     BID  Drug D #> 250 3.174596e+01    31.7459581211885     ug/mL     BID  Drug D #> 251 2.246655e+01    22.4665530738696     ug/mL     BID  Drug D #> 252 3.847171e+01    38.4717067862155     ug/mL     BID  Drug D #> 253 3.440092e+01    34.4009222823337     ug/mL     BID  Drug D #> 254 3.769033e+01    37.6903287080125     ug/mL     BID  Drug D #> 255 3.539280e+01     35.392802882356     ug/mL     BID  Drug D #> 256 3.318667e+01    33.1866741543079     ug/mL     BID  Drug D #> 257 2.288872e+01    22.8887184150676     ug/mL     BID  Drug D #> 258 3.207598e+01    32.0759803136901     ug/mL     BID  Drug D #> 259 2.953594e+01    29.5359435444297     ug/mL     BID  Drug D #> 260 2.728145e+01     27.281450013058     ug/mL     BID  Drug D #> 261 4.717381e+00    4.71738069867348 ml/day/kg     BID  Drug D #> 262 3.429026e+00    3.42902569967221 ml/day/kg     BID  Drug D #> 263 5.296359e+00    5.29635860950479 ml/day/kg     BID  Drug D #> 264 5.247361e+00    5.24736127414808 ml/day/kg     BID  Drug D #> 265 4.863022e+00    4.86302160940736 ml/day/kg     BID  Drug E #> 266 4.285659e+00    4.28565923673174 ml/day/kg     BID  Drug E #> 267 2.979681e+00    2.97968072913846 ml/day/kg     BID  Drug E #> 268 5.506020e+00    5.50602022922493 ml/day/kg     BID  Drug E #> 269 4.730958e+00    4.73095816095179 ml/day/kg     BID  Drug E #> 270 5.204085e+00    5.20408452300841 ml/day/kg     BID  Drug E #> 271 5.116007e+00    5.11600698685415 ml/day/kg     BID  Drug E #> 272 4.743988e+00    4.74398822825356 ml/day/kg     BID  Drug E #> 273 4.325404e+00    4.32540376020656 ml/day/kg     BID  Drug E #> 274 5.942027e+00    5.94202707906856 ml/day/kg     BID  Drug E #> 275 5.493036e+00    5.49303642251188 ml/day/kg     BID  Drug E #> 276 5.443817e+00    5.44381705349733 ml/day/kg     BID  Drug E #> 277 6.301914e+00    6.30191419547311 ml/day/kg     BID  Drug E #> 278 3.640673e+00     3.6406732879911 ml/day/kg     BID  Drug E #> 279 4.200825e+00    4.20082493149421 ml/day/kg     BID  Drug E #> 280 4.486966e+00    4.48696646139325 ml/day/kg     BID  Drug E #> 281 1.027473e+01     10.274732191036        hr     BID  Drug E #> 282 8.210005e+00     8.2100054425684        hr     BID  Drug E #> 283 9.842868e+00    9.84286835655766        hr     BID  Drug E #> 284 1.319167e+01    13.1916725678912        hr     BID  Drug E #> 285 7.591947e+00    7.59194722657837        hr     BID  Drug E #> 286 6.675458e+00    6.67545767126632        hr     BID  Drug E #> 287 8.103624e+00    8.10362448824755        hr     BID  Drug E #> 288 8.097617e+00     8.0976171915404        hr     BID  Drug E #> 289 9.947930e+00    9.94793017996555        hr     BID  Drug E #> 290 1.028454e+01    10.2845373494783        hr     BID  Drug E #> 291 1.123585e+01      11.23585220499        hr     BID  Drug E #> 292 8.559155e+00    8.55915528999599        hr     BID  Drug E #> 293 8.832976e+00    8.83297611393234        hr     BID  Drug E #> 294 1.043265e+01    10.4326490077766        hr     BID  Drug E #> 295 1.248998e+01    12.4899824807859        hr     BID  Drug E #> 296 8.464196e+00    8.46419603139228        hr     BID  Drug E #> 297 7.711333e+00    7.71133348690102        hr     BID  Drug E #> 298 1.294035e+01    12.9403540993444        hr     BID  Drug E #> 299 1.088906e+01    10.8890550395933        hr     BID  Drug E #> 300 1.162194e+01    11.6219439071834        hr     BID  Drug E #> 301 3.490278e+00     3.4902781560917        hr     BID  Drug E #> 302 3.245012e+00    3.24501234776681        hr     BID  Drug E #> 303 3.085567e+00    3.08556690428139        hr     BID  Drug E #> 304 2.937817e+00    2.93781658898426        hr     BID  Drug E #> 305 3.421160e+00    3.42115958215722        hr     BID  Drug E #> 306 3.624440e+00    3.62444048355561        hr     BID  Drug E #> 307 4.052582e+00     4.0525816047198        hr     BID  Drug E #> 308 3.031328e+00    3.03132769086646        hr     BID  Drug E #> 309 2.690587e+00    2.69058690448801        hr     BID  Drug E #> 310 3.390794e+00    3.39079421116465        hr     BID  Drug E #> 311 2.961701e+00     2.9617007231057        hr     BID  Drug E #> 312 2.498373e+00    2.49837304905404        hr     BID  Drug E #> 313 4.037247e+00    4.03724670859468        hr     BID  Drug E #> 314 2.419750e+00    2.41975018693132        hr     BID  Drug E #> 315 3.339815e+00    3.33981534379736        hr     BID  Drug E #> 316 2.729627e+00    2.72962734073946        hr     BID  Drug E #> 317 2.247235e+00    2.24723508591904        hr     BID  Drug E #> 318 4.294007e+00    4.29400735324689        hr     BID  Drug E #> 319 3.472946e+00    3.47294581080228        hr     BID  Drug E #> 320 3.098849e+00    3.09884932801267        hr     BID  Drug E #> 321 4.235532e-02  0.0423553199189737      L/hr     BID  Drug E #> 322 6.461451e-02   0.064614512586786      L/hr     BID  Drug E #> 323 3.645904e-02  0.0364590361161427      L/hr     BID  Drug E #> 324 3.782145e-02  0.0378214452457843      L/hr     BID  Drug E #> 325 6.438519e-02  0.0643851940267339      L/hr     BID  Drug E #> 326 7.689005e-02   0.076890046998286      L/hr     BID  Drug E #> 327 6.101924e-02  0.0610192418258703      L/hr     BID  Drug E #> 328 4.728295e-02  0.0472829473396486      L/hr     BID  Drug E #> 329 3.865409e-02  0.0386540896293925      L/hr     BID  Drug E #> 330 6.341885e-02  0.0634188539918939      L/hr     BID  Drug E #> 331 5.633725e-02  0.0563372518922889      L/hr     BID  Drug F #> 332 4.675172e-02   0.046751724250156      L/hr     BID  Drug F #> 333 5.846145e-02  0.0584614518659475      L/hr     BID  Drug F #> 334 5.017041e-02   0.050170413878429      L/hr     BID  Drug F #> 335 4.674477e-02  0.0467447737126511      L/hr     BID  Drug F #> 336 4.114206e-02  0.0411420586100585      L/hr     BID  Drug F #> 337 4.989478e-02  0.0498947810722962      L/hr     BID  Drug F #> 338 6.433355e-02  0.0643335509332141      L/hr     BID  Drug F #> 339 3.354532e-02  0.0335453157272247      L/hr     BID  Drug F #> 340 3.930315e-02  0.0393031505937198      L/hr     BID  Drug F #> 341 4.885782e-03 0.00488578162784292   L/hr/mg     BID  Drug F #> 342 4.105379e-03 0.00410537862783403   L/hr/mg     BID  Drug F #> 343 4.345911e-03 0.00434591109494843   L/hr/mg     BID  Drug F #> 344 6.178716e-03 0.00617871628153782   L/hr/mg     BID  Drug F #> 345 5.951517e-03 0.00595151651072979   L/hr/mg     BID  Drug F #> 346 5.107910e-03 0.00510791034728672   L/hr/mg     BID  Drug F #> 347 5.826101e-03 0.00582610070238661   L/hr/mg     BID  Drug F #> 348 4.094573e-03  0.0040945732039763   L/hr/mg     BID  Drug F #> 349 4.750579e-03 0.00475057897295772   L/hr/mg     BID  Drug F #> 350 5.283153e-03 0.00528315330258214   L/hr/mg     BID  Drug F #> 351 5.761532e-03   0.005761532246986   L/hr/mg     BID  Drug F #> 352 5.118547e-03 0.00511854677520249   L/hr/mg     BID  Drug F #> 353 5.090595e-03 0.00509059475716538   L/hr/mg     BID  Drug F #> 354 6.306046e-03 0.00630604638464421   L/hr/mg     BID  Drug F #> 355 5.352020e-03 0.00535201989437071   L/hr/mg     BID  Drug F #> 356 4.203110e-03 0.00420310972500367   L/hr/mg     BID  Drug F #> 357 6.102527e-03 0.00610252683926924   L/hr/mg     BID  Drug F #> 358 3.544290e-03 0.00354429022864301   L/hr/mg     BID  Drug F #> 359 4.291607e-03 0.00429160671105357   L/hr/mg     BID  Drug F #> 360 5.859195e-03 0.00585919454297287   L/hr/mg     BID  Drug F #> 361 9.486762e-01   0.948676182861927        mg     BID  Drug F #> 362 9.486762e-01   0.948676182861927        mg     BID  Drug F #> 363 1.086980e+00    1.08698026399781        mg     BID  Drug F #> 364 1.086980e+00    1.08698026399781        mg     BID  Drug F #> 365 1.292638e+00    1.29263752739562        mg     BID  Drug F #> 366 1.292638e+00    1.29263752739562        mg     BID  Drug F #> 367 1.410770e+00    1.41077012419244        mg     BID  Drug F #> 368 1.410770e+00    1.41077012419244        mg     BID  Drug F #> 369 1.802584e+00    1.80258389627015        mg     BID  Drug F #> 370 1.802584e+00    1.80258389627015        mg     BID  Drug F #> 371 1.189952e+00    1.18995190486037        mg     BID  Drug F #> 372 1.189952e+00    1.18995190486037        mg     BID  Drug F #> 373 1.266520e+00    1.26652006352303        mg     BID  Drug F #> 374 1.266520e+00    1.26652006352303        mg     BID  Drug F #> 375 1.372339e+00    1.37233876678521        mg     BID  Drug F #> 376 1.372339e+00    1.37233876678521        mg     BID  Drug F #> 377 1.599888e+00    1.59988770840253        mg     BID  Drug F #> 378 1.599888e+00    1.59988770840253        mg     BID  Drug F #> 379 1.255193e+00    1.25519333058249        mg     BID  Drug F #> 380 1.255193e+00    1.25519333058249        mg     BID  Drug F #> 381 2.177080e+00    2.17707973330577        mg     BID  Drug F #> 382 2.177080e+00    2.17707973330577        mg     BID  Drug F #> 383 2.098934e+00    2.09893415014814        mg     BID  Drug F #> 384 2.098934e+00    2.09893415014814        mg     BID  Drug F #> 385 1.261253e+00    1.26125345974559        mg     BID  Drug F #> 386 1.261253e+00    1.26125345974559        mg     BID  Drug F #> 387 1.922597e+00    1.92259692994901        mg     BID  Drug F #> 388 1.922597e+00    1.92259692994901        mg     BID  Drug F #> 389 1.375677e+00    1.37567722642343        mg     BID  Drug F #> 390 1.375677e+00    1.37567722642343        mg     BID  Drug F #> 391 1.772309e+00     1.7723093790103        mg     BID  Drug F #> 392 1.772309e+00     1.7723093790103        mg     BID  Drug F #> 393 1.041090e+00    1.04108979246291        mg     BID  Drug F #> 394 1.041090e+00    1.04108979246291        mg     BID  Drug F #> 395 1.951526e+00    1.95152558688477        mg     BID  Drug F #> 396 1.951526e+00    1.95152558688477        mg     BID  Drug F #> 397 1.319356e+00    1.31935610922078        mg     BID  Drug G #> 398 1.319356e+00    1.31935610922078        mg     BID  Drug G #> 399 1.020992e+00    1.02099181540417        mg     BID  Drug G #> 400 1.020992e+00    1.02099181540417        mg     BID  Drug G #> 401 1.640459e+01    16.4045910334649         %     BID  Drug G #> 402 1.640459e+01    16.4045910334649         %     BID  Drug G #> 403 1.612969e+01     16.129688005731         %     BID  Drug G #> 404 1.612969e+01     16.129688005731         %     BID  Drug G #> 405 1.379335e+01    13.7933518848245         %     BID  Drug G #> 406 1.379335e+01    13.7933518848245         %     BID  Drug G #> 407 1.378946e+01    13.7894562135142         %     BID  Drug G #> 408 1.378946e+01    13.7894562135142         %     BID  Drug G #> 409 1.695709e+01    16.9570937587628         %     BID  Drug G #> 410 1.695709e+01    16.9570937587628         %     BID  Drug G #> 411 1.417418e+01    14.1741793705101         %     BID  Drug G #> 412 1.417418e+01    14.1741793705101         %     BID  Drug G #> 413 1.436478e+01     14.364779668508         %     BID  Drug G #> 414 1.436478e+01     14.364779668508         %     BID  Drug G #> 415 1.488543e+01    14.8854341509201         %     BID  Drug G #> 416 1.488543e+01    14.8854341509201         %     BID  Drug G #> 417 1.579418e+01    15.7941820609379         %     BID  Drug G #> 418 1.579418e+01    15.7941820609379         %     BID  Drug G #> 419 1.763385e+01    17.6338463895742         %     BID  Drug G #> 420 1.763385e+01    17.6338463895742         %     BID  Drug G #> 421 1.637584e+01    16.3758351256949         %     BID  Drug G #> 422 1.637584e+01    16.3758351256949         %     BID  Drug G #> 423 1.466581e+01    14.6658094327869         %     BID  Drug G #> 424 1.466581e+01    14.6658094327869         %     BID  Drug G #> 425 2.034407e+01    20.3440725941748         %     BID  Drug G #> 426 2.034407e+01    20.3440725941748         %     BID  Drug G #> 427 1.586777e+01    15.8677677759034         %     BID  Drug G #> 428 1.586777e+01    15.8677677759034         %     BID  Drug G #> 429 1.982553e+01    19.8255255436001         %     BID  Drug G #> 430 1.982553e+01    19.8255255436001         %     BID  Drug G #> 431 1.622040e+01    16.2203954624552         %     BID  Drug G #> 432 1.622040e+01    16.2203954624552         %     BID  Drug G #> 433 1.298783e+01    12.9878334657617         %     BID  Drug G #> 434 1.298783e+01    12.9878334657617         %     BID  Drug G #> 435 1.649345e+01     16.493447709445         %     BID  Drug G #> 436 1.649345e+01     16.493447709445         %     BID  Drug G #> 437 1.737979e+01     17.379791080356         %     BID  Drug G #> 438 1.737979e+01     17.379791080356         %     BID  Drug G #> 439 2.001734e+01    20.0173432011811         %     BID  Drug G #> 440 2.001734e+01    20.0173432011811         %     BID  Drug G #> 441 2.149988e+02     214.99879856695 day*ug/mL     BID  Drug G #> 442 2.585803e+02    258.580258192242 day*ug/mL     BID  Drug G #> 443 1.503107e+02    150.310677694497 day*ug/mL     BID  Drug G #> 444 1.718938e+02    171.893774989225 day*ug/mL     BID  Drug G #> 445 2.346909e+02    234.690934609323 day*ug/mL     BID  Drug G #> 446 1.962686e+02    196.268597740576 day*ug/mL     BID  Drug G #> 447 9.255009e+01    92.5500878006893 day*ug/mL     BID  Drug G #> 448 1.637703e+02    163.770301044755 day*ug/mL     BID  Drug G #> 449 2.255541e+02    225.554093973372 day*ug/mL     BID  Drug G #> 450 1.867350e+02     186.73503633016 day*ug/mL     BID  Drug G #> 451 2.693793e+02    269.379277278281 day*ug/mL     BID  Drug G #> 452 2.391069e+02    239.106894521462 day*ug/mL     BID  Drug G #> 453 2.224063e+02    222.406293443688 day*ug/mL     BID  Drug G #> 454 1.854481e+02    185.448114508666 day*ug/mL     BID  Drug G #> 455 1.822437e+02    182.243690750713 day*ug/mL     BID  Drug G #> 456 1.845306e+02    184.530586946616 day*ug/mL     BID  Drug G #> 457 2.338127e+02    233.812678582435 day*ug/mL     BID  Drug G #> 458 2.132231e+02    213.223083631698 day*ug/mL     BID  Drug G #> 459 2.041419e+02    204.141909145777 day*ug/mL     BID  Drug G #> 460 2.001205e+02    200.120528330938 day*ug/mL     BID  Drug G #> 461 3.205195e+01    32.0519504399199     ug/mL     BID  Drug G #> 462 2.776062e+01    27.7606212520254     ug/mL     BID  Drug G #> 463 2.990598e+01    29.9059789361623     ug/mL     BID  Drug H #> 464 4.562548e+01     45.625483916718     ug/mL     BID  Drug H #> 465 3.403413e+01    34.0341307187731     ug/mL     BID  Drug H #> 466 3.083729e+01    30.8372944676605     ug/mL     BID  Drug H #> 467 2.827417e+01    28.2741738511296     ug/mL     BID  Drug H #> 468 2.489571e+01    24.8957082574301     ug/mL     BID  Drug H #> 469 3.278246e+01    32.7824567239638     ug/mL     BID  Drug H #> 470 2.094198e+01    20.9419825594948     ug/mL     BID  Drug H #> 471 2.310235e+01    23.1023470660459     ug/mL     BID  Drug H #> 472 3.069840e+01    30.6983950954918     ug/mL     BID  Drug H #> 473 3.208383e+01    32.0838254471052     ug/mL     BID  Drug H #> 474 3.328160e+01     33.281597022575     ug/mL     BID  Drug H #> 475 2.689154e+01    26.8915383598325     ug/mL     BID  Drug H #> 476 3.777084e+01    37.7708435826082     ug/mL     BID  Drug H #> 477 2.941983e+01    29.4198282646838     ug/mL     BID  Drug H #> 478 3.236489e+01    32.3648858039452     ug/mL     BID  Drug H #> 479 2.765928e+01    27.6592809718307     ug/mL     BID  Drug H #> 480 4.459249e+01    44.5924937528137     ug/mL     BID  Drug H #> 481 2.725656e+00    2.72565554350297 ml/day/kg     BID  Drug H #> 482 5.334937e+00    5.33493715497149 ml/day/kg     BID  Drug H #> 483 4.786312e+00    4.78631199349361 ml/day/kg     BID  Drug H #> 484 4.968458e+00    4.96845759843166 ml/day/kg     BID  Drug H #> 485 4.303916e+00    4.30391645546196 ml/day/kg     BID  Drug H #> 486 5.968421e+00    5.96842100298099 ml/day/kg     BID  Drug H #> 487 6.476121e+00    6.47612071821176 ml/day/kg     BID  Drug H #> 488 4.532811e+00    4.53281083293232 ml/day/kg     BID  Drug H #> 489 4.435756e+00    4.43575587416563 ml/day/kg     BID  Drug H #> 490 3.678706e+00     3.6787060520376 ml/day/kg     BID  Drug H #> 491 6.147497e+00    6.14749746280844 ml/day/kg     BID  Drug H #> 492 6.212535e+00     6.2125351504717 ml/day/kg     BID  Drug H #> 493 5.158588e+00    5.15858783604358 ml/day/kg     BID  Drug H #> 494 3.237578e+00    3.23757790481116 ml/day/kg     BID  Drug H #> 495 5.260175e+00    5.26017478144207 ml/day/kg     BID  Drug H #> 496 5.162078e+00     5.1620782394036 ml/day/kg     BID  Drug H #> 497 4.812580e+00    4.81258033109917 ml/day/kg     BID  Drug H #> 498 7.183334e+00     7.1833341796057 ml/day/kg     BID  Drug H #> 499 4.610537e+00    4.61053723613999 ml/day/kg     BID  Drug H #> 500 5.437885e+00    5.43788508379327 ml/day/kg     BID  Drug H #> 501 1.196685e+01    11.9668538770102        hr     BID  Drug H #> 502 1.202071e+01    12.0207061265011        hr     BID  Drug H #> 503 6.133203e+00    6.13320286621991        hr     BID  Drug H #> 504 1.097588e+01    10.9758790143515        hr     BID  Drug H #> 505 9.074984e+00    9.07498363047769        hr     BID  Drug H #> 506 9.677453e+00    9.67745331160391        hr     BID  Drug H #> 507 5.332753e+00    5.33275295522064        hr     BID  Drug H #> 508 9.357802e+00    9.35780184155058        hr     BID  Drug H #> 509 9.165453e+00    9.16545334677742        hr     BID  Drug H #> 510 1.138388e+01    11.3838806449804        hr     BID  Drug H #> 511 9.216854e+00    9.21685445473313        hr     BID  Drug H #> 512 1.170380e+01    11.7038030618058        hr     BID  Drug H #> 513 1.303277e+01    13.0327721579817        hr     BID  Drug H #> 514 8.057444e+00     8.0574437333273        hr     BID  Drug H #> 515 1.325065e+01    13.2506468101593        hr     BID  Drug H #> 516 9.044935e+00    9.04493464607706        hr     BID  Drug H #> 517 9.995204e+00    9.99520422131192        hr     BID  Drug H #> 518 6.917983e+00    6.91798293449758        hr     BID  Drug H #> 519 9.940661e+00    9.94066093629947        hr     BID  Drug H #> 520 1.109672e+01    11.0967150432458        hr     BID  Drug H #> 521 4.017339e+00    4.01733868332195        hr     BID  Drug H #> 522 3.462487e+00    3.46248691345843        hr     BID  Drug H #> 523 3.039949e+00     3.0399487644608        hr     BID  Drug H #> 524 2.162042e+00    2.16204177547758        hr     BID  Drug H #> 525 3.318482e+00    3.31848248436165        hr     BID  Drug H #> 526 2.603872e+00     2.6038715031807        hr     BID  Drug H #> 527 4.259190e+00    4.25918951589341        hr     BID  Drug H #> 528 2.468140e+00     2.4681397769112        hr     BID  Drug H #> 529 2.701825e+00    2.70182471946397        hr     BID  Drug I #> 530 2.909028e+00    2.90902801384784        hr     BID  Drug I #> 531 3.655487e+00    3.65548719440919        hr     BID  Drug I #> 532 3.001728e+00    3.00172820515348        hr     BID  Drug I #> 533 2.920457e+00    2.92045657466445        hr     BID  Drug I #> 534 2.959265e+00    2.95926528724271        hr     BID  Drug I #> 535 3.183531e+00    3.18353072464325        hr     BID  Drug I #> 536 3.369116e+00    3.36911599715818        hr     BID  Drug I #> 537 2.432936e+00    2.43293560135496        hr     BID  Drug I #> 538 2.656024e+00    2.65602431857093        hr     BID  Drug I #> 539 4.805290e+00    4.80529007245449        hr     BID  Drug I #> 540 2.569674e+00    2.56967416699386        hr     BID  Drug I #> 541 5.981366e-02  0.0598136609639637      L/hr     BID  Drug I #> 542 5.059267e-02  0.0505926715715636      L/hr     BID  Drug I #> 543 5.017707e-02  0.0501770666329718      L/hr     BID  Drug I #> 544 5.364700e-02  0.0536470026420861      L/hr     BID  Drug I #> 545 3.865679e-02  0.0386567896175236      L/hr     BID  Drug I #> 546 4.852273e-02   0.048522727112721      L/hr     BID  Drug I #> 547 4.820947e-02  0.0482094690432808      L/hr     BID  Drug I #> 548 5.577913e-02  0.0557791295773008      L/hr     BID  Drug I #> 549 2.360682e-02  0.0236068173787631      L/hr     BID  Drug I #> 550 5.140415e-02  0.0514041500468243      L/hr     BID  Drug I #> 551 5.045537e-02  0.0504553693297155      L/hr     BID  Drug I #> 552 5.424366e-02  0.0542436635876486      L/hr     BID  Drug I #> 553 3.779283e-02  0.0377928335638139      L/hr     BID  Drug I #> 554 6.163869e-02  0.0616386851590752      L/hr     BID  Drug I #> 555 5.021936e-02  0.0502193618784825      L/hr     BID  Drug I #> 556 3.397509e-02  0.0339750856052199      L/hr     BID  Drug I #> 557 5.048466e-02  0.0504846631430548      L/hr     BID  Drug I #> 558 4.360797e-02  0.0436079659762418      L/hr     BID  Drug I #> 559 5.574469e-02  0.0557446865479267      L/hr     BID  Drug I #> 560 4.924307e-02  0.0492430713044339      L/hr     BID  Drug I #> 561 4.450401e-03 0.00445040101986545   L/hr/mg     BID  Drug I #> 562 5.263901e-03 0.00526390092639781   L/hr/mg     BID  Drug I #> 563 4.159798e-03 0.00415979823392004   L/hr/mg     BID  Drug I #> 564 4.021430e-03 0.00402143019459275   L/hr/mg     BID  Drug I #> 565 4.157426e-03 0.00415742554333584   L/hr/mg     BID  Drug I #> 566 5.258028e-03 0.00525802803503347   L/hr/mg     BID  Drug I #> 567 6.885781e-03 0.00688578063852627   L/hr/mg     BID  Drug I #> 568 6.132285e-03 0.00613228469251829   L/hr/mg     BID  Drug I #> 569 3.419522e-03 0.00341952201619729   L/hr/mg     BID  Drug I #> 570 4.755805e-03 0.00475580493560046   L/hr/mg     BID  Drug I #> 571 3.421093e-03 0.00342109252922634   L/hr/mg     BID  Drug I #> 572 4.442839e-03 0.00444283851624684   L/hr/mg     BID  Drug I #> 573 4.750608e-03 0.00475060802745212   L/hr/mg     BID  Drug I #> 574 4.355842e-03 0.00435584191965814   L/hr/mg     BID  Drug I #> 575 5.055083e-03 0.00505508311889124   L/hr/mg     BID  Drug I #> 576 3.579471e-03 0.00357947124919533   L/hr/mg     BID  Drug I #> 577 4.063676e-03  0.0040636762174183   L/hr/mg     BID  Drug I #> 578 4.639761e-03 0.00463976086792879   L/hr/mg     BID  Drug I #> 579 5.655336e-03 0.00565533573509659   L/hr/mg     BID  Drug I #> 580 3.493216e-03 0.00349321613109921   L/hr/mg     BID  Drug I #> 581 1.859404e+00    1.85940413197033        mg     BID  Drug I #> 582 1.859404e+00    1.85940413197033        mg     BID  Drug I #> 583 1.265525e+00    1.26552534505872        mg     BID  Drug I #> 584 1.265525e+00    1.26552534505872        mg     BID  Drug I #> 585 1.573342e+00    1.57334171054674        mg     BID  Drug I #> 586 1.573342e+00    1.57334171054674        mg     BID  Drug I #> 587 1.301849e+00     1.3018486912045        mg     BID  Drug I #> 588 1.301849e+00     1.3018486912045        mg     BID  Drug I #> 589 1.735282e+00    1.73528245211133        mg     BID  Drug I #> 590 1.735282e+00    1.73528245211133        mg     BID  Drug I #> 591 1.526295e+00    1.52629480815639        mg     BID  Drug I #> 592 1.526295e+00    1.52629480815639        mg     BID  Drug I #> 593 1.415139e+00    1.41513944351306        mg     BID  Drug I #> 594 1.415139e+00    1.41513944351306        mg     BID  Drug I #> 595 1.887536e+00    1.88753573284349        mg     BID  Drug J #> 596 1.887536e+00    1.88753573284349        mg     BID  Drug J #> 597 1.459179e+00    1.45917926658843        mg     BID  Drug J #> 598 1.459179e+00    1.45917926658843        mg     BID  Drug J #> 599 1.611991e+00    1.61199055541577        mg     BID  Drug J #> 600 1.611991e+00    1.61199055541577        mg     BID  Drug J #> 601 1.828629e+00    1.82862928067855        mg     BID  Drug J #> 602 1.828629e+00    1.82862928067855        mg     BID  Drug J #> 603 1.382464e+00    1.38246363685291        mg     BID  Drug J #> 604 1.382464e+00    1.38246363685291        mg     BID  Drug J #> 605 1.507962e+00    1.50796220314385        mg     BID  Drug J #> 606 1.507962e+00    1.50796220314385        mg     BID  Drug J #> 607 1.434500e+00    1.43449990404704        mg     BID  Drug J #> 608 1.434500e+00    1.43449990404704        mg     BID  Drug J #> 609 1.976796e+00    1.97679630812782        mg     BID  Drug J #> 610 1.976796e+00    1.97679630812782        mg     BID  Drug J #> 611 1.135203e+00    1.13520289866102        mg     BID  Drug J #> 612 1.135203e+00    1.13520289866102        mg     BID  Drug J #> 613 1.906845e+00     1.9068448161695        mg     BID  Drug J #> 614 1.906845e+00     1.9068448161695        mg     BID  Drug J #> 615 1.961348e+00    1.96134763331244        mg     BID  Drug J #> 616 1.961348e+00    1.96134763331244        mg     BID  Drug J #> 617 1.458434e+00    1.45843396966174        mg     BID  Drug J #> 618 1.458434e+00    1.45843396966174        mg     BID  Drug J #> 619 2.095667e+00    2.09566662198212        mg     BID  Drug J #> 620 2.095667e+00    2.09566662198212        mg     BID  Drug J #> 621 1.112410e+01    11.1241017445401         %     BID  Drug J #> 622 1.112410e+01    11.1241017445401         %     BID  Drug J #> 623 1.309804e+01    13.0980442122669         %     BID  Drug J #> 624 1.309804e+01    13.0980442122669         %     BID  Drug J #> 625 1.603946e+01     16.039461234946         %     BID  Drug J #> 626 1.603946e+01     16.039461234946         %     BID  Drug J #> 627 1.284554e+01    12.8455426253741         %     BID  Drug J #> 628 1.284554e+01    12.8455426253741         %     BID  Drug J #> 629 1.402493e+01    14.0249256128241         %     BID  Drug J #> 630 1.402493e+01    14.0249256128241         %     BID  Drug J #> 631 1.389169e+01    13.8916919791415         %     BID  Drug J #> 632 1.389169e+01    13.8916919791415         %     BID  Drug J #> 633 1.962518e+01    19.6251776848061         %     BID  Drug J #> 634 1.962518e+01    19.6251776848061         %     BID  Drug J #> 635 1.723888e+01    17.2388808338258         %     BID  Drug J #> 636 1.723888e+01    17.2388808338258         %     BID  Drug J #> 637 1.327166e+01    13.2716645974904         %     BID  Drug J #> 638 1.327166e+01    13.2716645974904         %     BID  Drug J #> 639 1.283775e+01     12.837752640077         %     BID  Drug J #> 640 1.283775e+01     12.837752640077         %     BID  Drug J #> 641 1.521676e+01    15.2167647627425         %     BID  Drug J #> 642 1.521676e+01    15.2167647627425         %     BID  Drug J #> 643 1.958348e+01    19.5834819400363         %     BID  Drug J #> 644 1.958348e+01    19.5834819400363         %     BID  Drug J #> 645 1.395994e+01    13.9599364922328         %     BID  Drug J #> 646 1.395994e+01    13.9599364922328         %     BID  Drug J #> 647 1.410760e+01     14.107602151713         %     BID  Drug J #> 648 1.410760e+01     14.107602151713         %     BID  Drug J #> 649 1.893647e+01     18.936473853621         %     BID  Drug J #> 650 1.893647e+01     18.936473853621         %     BID  Drug J #> 651 1.844963e+01     18.449630669667         %     BID  Drug J #> 652 1.844963e+01     18.449630669667         %     BID  Drug J #> 653 1.589160e+01      15.89160304836         %     BID  Drug J #> 654 1.589160e+01      15.89160304836         %     BID  Drug J #> 655 1.822207e+01    18.2220706371774         %     BID  Drug J #> 656 1.822207e+01    18.2220706371774         %     BID  Drug J #> 657 1.656440e+01    16.5644027289067         %     BID  Drug J #> 658 1.656440e+01    16.5644027289067         %     BID  Drug J #> 659 1.340679e+01    13.4067868033689         %     BID  Drug J #> 660 1.340679e+01    13.4067868033689         %     BID  Drug J"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radqlqc.html","id":null,"dir":"Reference","previous_headings":"","what":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"Function generating random EORTC QLQ-C30 V3 Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radqlqc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"","code":"radqlqc(adsl, percent, number, seed = NULL, cached = FALSE)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radqlqc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). percent (numeric) Completion - Completed least y percent questions, 1 record per visit number (numeric) Completion - Completed least x question(s), 1 record per visit seed (numeric) Seed use reproducible random number generation. cached boolean whether cached ADQLQC data cadqlqc returned new data generated. set TRUE arguments radqlqc ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radqlqc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radqlqc.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"Keys: STUDYID, USUBJID, PARCAT1N, PARAMCD, BASETYPE, AVISITN, ATPTN, ADTM, QSSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radqlqc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1)  adqlqc <- radqlqc(adsl, seed = 1, percent = 80, number = 2) adqlqc #> # A tibble: 2,860 × 50 #>    STUDYID USUBJID   SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY TRT01P #>    <chr>   <chr>     <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct>  #>  1 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  2 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  3 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  4 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  5 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  6 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  7 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  8 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  9 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #> 10 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #> # ℹ 2,850 more rows #> # ℹ 39 more variables: TRT01A <fct>, REGION1 <fct>, ITTFL <fct>, SAFFL <fct>, #> #   TRTSDTM <dttm>, TRTEDTM <dttm>, QSSEQ <int>, QSCAT <fct>, QSSCAT <fct>, #> #   QSDTC <dttm>, QSSTAT <fct>, QSSTRESC <fct>, QSSTRESU <fct>, QSORRES <fct>, #> #   QSORRESU <fct>, QSTEST <fct>, QSTESTCD <fct>, QSREASND <fct>, #> #   QSEVLINT <fct>, VISIT <fct>, VISITNUM <int>, ASEQ <int>, PARAM <fct>, #> #   PARAMCD <fct>, PARCAT1 <fct>, PARCAT1N <dbl>, PARCAT2 <fct>, AVAL <dbl>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radqs.html","id":null,"dir":"Reference","previous_headings":"","what":"Questionnaires Analysis Dataset (ADQS) — radqs","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"Function generating random Questionnaires Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radqs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"","code":"radqs(   adsl,   param = c(\"BFI All Questions\", \"Fatigue Interference\",     \"Function/Well-Being (GF1,GF3,GF7)\", \"Treatment Side Effects (GP2,C5,GP5)\",     \"FKSI-19 All Questions\"),   paramcd = c(\"BFIALL\", \"FATIGI\", \"FKSI-FWB\", \"FKSI-TSE\", \"FKSIALL\"),   visit_format = \"WEEK\",   n_assessments = 5L,   n_days = 5L,   seed = NULL,   na_percentage = 0,   na_vars = list(LOQFL = c(NA, 0.1), ABLFL2 = c(1234, 0.1), ABLFL = c(1235, 0.1), CHG2 =     c(1235, 0.1), PCHG2 = c(1235, 0.1), CHG = c(1234, 0.1), PCHG = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radqs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADQS data cadqs returned new data generated. set TRUE arguments radqs ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radqs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radqs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, AVISITN","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radqs.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"npaszty","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radqs.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adqs <- radqs(adsl, visit_format = \"WEEK\", n_assessments = 7L, seed = 2) adqs #> # A tibble: 450 × 73 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 440 more rows #> # ℹ 62 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  adqs <- radqs(adsl, visit_format = \"CYCLE\", n_assessments = 3L, seed = 2) adqs #> # A tibble: 800 × 73 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 790 more rows #> # ℹ 62 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radrs.html","id":null,"dir":"Reference","previous_headings":"","what":"Tumor Response Analysis Dataset (ADRS) — radrs","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"Function generating random Tumor Response Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radrs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"","code":"radrs(   adsl,   avalc = NULL,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(AVISIT = c(NA, 0.1), AVAL = c(1234, 0.1), AVALC = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radrs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). avalc (character vector) Analysis value categories. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADRS data cadrs returned new data generated. set TRUE arguments radrs ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radrs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radrs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"One record per subject per parameter per analysis visit per analysis date. SDTM variables populated new records coming single records. Otherwise, SDTM variables left blank. Keys: STUDYID, USUBJID, PARAMCD, AVISITN, ADT, RSSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radrs.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adrs <- radrs(adsl, seed = 2) adrs #> # A tibble: 80 × 65 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 70 more rows #> # ℹ 54 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radsaftte.html","id":null,"dir":"Reference","previous_headings":"","what":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"Function generate random Time--Safety Event Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radsaftte.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"","code":"radsaftte(adsl, ...)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radsaftte.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). ... Additional arguments passed radaette","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radsaftte.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radsaftte.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"Keys: STUDYID, USUBJID, PARAMCD","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radsaftte.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adsaftte <- radsaftte(adsl, seed = 2) adsaftte #> # A tibble: 90 × 66 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 80 more rows #> # ℹ 55 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radsl.html","id":null,"dir":"Reference","previous_headings":"","what":"Subject-Level Analysis Dataset (ADSL) — radsl","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"Subject-Level Analysis Dataset (ADSL) used provide variables describe attributes subject. ADSL source subject-level variables used analysis data sets, population flags treatment variables. one ADSL per study. ADSL related metadata required CDISC-based submission data clinical trial even analysis data sets submitted.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radsl.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"","code":"radsl(   N = 400,   study_duration = 2,   seed = NULL,   with_trt02 = TRUE,   na_percentage = 0,   na_vars = list(AGE = NA, SEX = NA, RACE = NA, STRATA1 = NA, STRATA2 = NA, BMRKR1 =     c(seed = 1234, percentage = 0.1), BMRKR2 = c(1234, 0.1), BEP01FL = NA),   ae_withdrawal_prob = 0.05,   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radsl.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"N (numeric) Number patients. study_duration (numeric) Duration study years. seed (numeric) Seed use reproducible random number generation. with_trt02 (logical) period 2 added. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. ae_withdrawal_prob (proportion) Probability least one Adverse Event leading withdrawal study drug. cached boolean whether cached ADSL data cadsl returned new data generated. set TRUE arguments radsl ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radsl.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radsl.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"One record per subject. Keys: STUDYID, USUBJID","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radsl.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1) adsl #> # A tibble: 10 × 55 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-C… id-10  CHN-3     35 YEARS M     ASIAN NOT H… CHN     N     #>  2 AB12345 AB12345-J… id-7   JPN-4     30 YEARS F     ASIAN NOT H… JPN     N     #>  3 AB12345 AB12345-U… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #>  4 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  5 AB12345 AB12345-C… id-2   CHN-11    35 YEARS M     BLAC… NOT H… CHN     N     #>  6 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  7 AB12345 AB12345-C… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #>  8 AB12345 AB12345-R… id-4   RUS-1     36 YEARS M     BLAC… NOT H… RUS     N     #>  9 AB12345 AB12345-R… id-6   RUS-1     36 YEARS F     ASIAN NOT H… RUS     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 44 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, #> #   AP01SDTM <dttm>, AP01EDTM <dttm>, AP02SDTM <dttm>, AP02EDTM <dttm>, …  adsl <- radsl(   N = 10, seed = 1,   na_percentage = 0.1,   na_vars = list(     DTHDT = c(seed = 1234, percentage = 0.1),     LSTALVDT = c(seed = 1234, percentage = 0.1)   ) ) adsl #> # A data frame: 10 × 55 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-C… id-10  CHN-3     35 YEARS M     ASIAN NOT H… CHN     N     #>  2 AB12345 AB12345-J… id-7   JPN-4     30 YEARS F     ASIAN NOT H… JPN     N     #>  3 AB12345 AB12345-U… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #>  4 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  5 AB12345 AB12345-C… id-2   CHN-11    35 YEARS M     BLAC… NOT H… CHN     N     #>  6 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  7 AB12345 AB12345-C… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #>  8 AB12345 AB12345-R… id-4   RUS-1     36 YEARS M     BLAC… NOT H… RUS     N     #>  9 AB12345 AB12345-R… id-6   RUS-1     36 YEARS F     ASIAN NOT H… RUS     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 44 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, #> #   AP01SDTM <dttm>, AP01EDTM <dttm>, AP02SDTM <dttm>, AP02EDTM <dttm>, …  adsl <- radsl(N = 10, seed = 1, na_percentage = .1) adsl #> # A data frame: 10 × 55 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-C… id-10  CHN-3     NA YEARS M     NA    NOT H… CHN     N     #>  2 AB12345 AB12345-J… id-7   JPN-4     30 YEARS NA    ASIAN NOT H… JPN     N     #>  3 AB12345 AB12345-U… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #>  4 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  5 AB12345 AB12345-C… id-2   CHN-11    35 YEARS M     BLAC… NOT H… CHN     N     #>  6 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  7 AB12345 AB12345-C… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #>  8 AB12345 AB12345-R… id-4   RUS-1     36 YEARS M     BLAC… NOT H… RUS     N     #>  9 AB12345 AB12345-R… id-6   RUS-1     36 YEARS F     ASIAN NOT H… RUS     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 44 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, #> #   AP01SDTM <dttm>, AP01EDTM <dttm>, AP02SDTM <dttm>, AP02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radsub.html","id":null,"dir":"Reference","previous_headings":"","what":"Subcategory Analysis Dataset (ADSUB) — radsub","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"Function generating random Subcategory Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radsub.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"","code":"radsub(   adsl,   param = c(\"Baseline Weight\", \"Baseline Height\", \"Baseline BMI\", \"Baseline ECOG\",     \"Baseline Biomarker Mutation\"),   paramcd = c(\"BWGHTSI\", \"BHGHTSI\", \"BBMISI\", \"BECOG\", \"BBMRKR1\"),   seed = NULL,   na_percentage = 0,   na_vars = list(),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radsub.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADSUB data cadsub returned new data generated. set TRUE arguments radsub ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radsub.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radsub.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"One record per subject. Keys: STUDYID, USUBJID, PARAMCD, AVISITN, ADTM, SRCSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radsub.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"tomlinsj, npaszty, Xuefeng Hou, dipietrc","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radsub.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adsub <- radsub(adsl, seed = 2) adsub #> # A tibble: 50 × 65 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  8 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 40 more rows #> # ℹ 54 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radtr.html","id":null,"dir":"Reference","previous_headings":"","what":"Tumor Response Analysis Dataset (ADTR) — radtr","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"Function generating random Tumor Response Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radtr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"","code":"radtr(   adsl,   param = c(\"Sum of Longest Diameter by Investigator\"),   paramcd = c(\"SLDINV\"),   seed = NULL,   cached = FALSE,   ... )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radtr.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. seed (numeric) Seed use reproducible random number generation. cached boolean whether cached ADTR data cadtr returned new data generated. set TRUE arguments radtr ignored. ... Additional arguments passed radrs.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radtr.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radtr.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, BASETYPE, AVISITN, DTYPE","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radtr.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"tomlinsj, npaszty, Xuefeng Hou, dipietrc","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radtr.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adtr <- radtr(adsl, seed = 2) adtr #>    STUDYID             USUBJID SUBJID SITEID AGE  AGEU SEX #> 1  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 2  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 3  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 4  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 5  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 6  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 7  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 8  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 9  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 10 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 11 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 12 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 13 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 14 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 15 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 16 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 17 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 18 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 19 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 20 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 21 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 22 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 23 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 24 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 25 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 26 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 27 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 28 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 29 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 30 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 31 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 32 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 33 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 34 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 35 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 36 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 37 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 38 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 39 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 40 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 41 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 42 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 43 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 44 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 45 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 46 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 47 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 48 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 49 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 50 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 51 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 52 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 53 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 54 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 55 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 56 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 57 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 58 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 59 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 60 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 61 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 62 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 63 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 64 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 65 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 66 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 67 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 68 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 69 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 70 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #>                                RACE                 ETHNIC COUNTRY DTHFL #> 1         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 2         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 3         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 4         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 5         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 6         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 7         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 8                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 9                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 10                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 11                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 12                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 13                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 14                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 15                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 16                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 17                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 18                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 19                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 20                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 21                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 22        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 23        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 24        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 25        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 26        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 27        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 28        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 29                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 30                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 31                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 32                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 33                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 34                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 35                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 36                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 37                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 38                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 39                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 40                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 41                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 42                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 43                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 44                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 45                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 46                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 47                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 48                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 49                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 50        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 51        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 52        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 53        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 54        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 55        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 56        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 57                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 58                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 59                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 60                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 61                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 62                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 63                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 64 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 65 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 66 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 67 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 68 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 69 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 70 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #>            INVID         INVNAM            ARM ARMCD         ACTARM ACTARMCD #> 1   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 2   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 3   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 4   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 5   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 6   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 7   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 8   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 9   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 10  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 11  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 12  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 13  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 14  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 15 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 16 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 17 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 18 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 19 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 20 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 21 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 22 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 23 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 24 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 25 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 26 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 27 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 28 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 29  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 30  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 31  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 32  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 33  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 34  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 35  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 36  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 37  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 38  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 39  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 40  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 41  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 42  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 43  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 44  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 45  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 46  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 47  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 48  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 49  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 50  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 51  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 52  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 53  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 54  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 55  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 56  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 57  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 58  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 59  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 60  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 61  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 62  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 63  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 64 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 65 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 66 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 67 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 68 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 69 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 70 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #>            TRT01P         TRT01A         TRT02P         TRT02A       REGION1 #> 1  C: Combination C: Combination      A: Drug X C: Combination South America #> 2  C: Combination C: Combination      A: Drug X C: Combination South America #> 3  C: Combination C: Combination      A: Drug X C: Combination South America #> 4  C: Combination C: Combination      A: Drug X C: Combination South America #> 5  C: Combination C: Combination      A: Drug X C: Combination South America #> 6  C: Combination C: Combination      A: Drug X C: Combination South America #> 7  C: Combination C: Combination      A: Drug X C: Combination South America #> 8       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 9       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 10      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 11      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 12      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 13      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 14      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 15 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 16 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 17 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 18 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 19 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 20 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 21 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 22      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 23      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 24      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 25      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 26      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 27      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 28      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 29     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 30     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 31     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 32     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 33     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 34     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 35     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 36      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 37      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 38      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 39      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 40      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 41      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 42      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 43      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 44      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 45      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 46      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 47      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 48      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 49      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 50     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 51     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 52     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 53     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 54     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 55     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 56     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 57      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 58      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 59      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 60      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 61      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 62      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 63      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 64      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 65      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 66      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 67      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 68      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 69      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 70      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #>    STRATA1 STRATA2    BMRKR1 BMRKR2 ITTFL SAFFL BMEASIFL BEP01FL AEWITHFL #> 1        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 2        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 3        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 4        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 5        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 6        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 7        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 8        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 9        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 10       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 11       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 12       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 13       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 14       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 15       B      S1  8.926907    LOW     Y     Y        N       N        N #> 16       B      S1  8.926907    LOW     Y     Y        N       N        N #> 17       B      S1  8.926907    LOW     Y     Y        N       N        N #> 18       B      S1  8.926907    LOW     Y     Y        N       N        N #> 19       B      S1  8.926907    LOW     Y     Y        N       N        N #> 20       B      S1  8.926907    LOW     Y     Y        N       N        N #> 21       B      S1  8.926907    LOW     Y     Y        N       N        N #> 22       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 23       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 24       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 25       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 26       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 27       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 28       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 29       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 30       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 31       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 32       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 33       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 34       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 35       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 36       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 37       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 38       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 39       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 40       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 41       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 42       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 43       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 44       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 45       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 46       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 47       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 48       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 49       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 50       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 51       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 52       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 53       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 54       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 55       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 56       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 57       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 58       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 59       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 60       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 61       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 62       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 63       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 64       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 65       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 66       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 67       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 68       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 69       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 70       C      S1  7.254058    LOW     Y     Y        Y       N        N #>        RANDDT             TRTSDTM             TRTEDTM           TRT01SDTM #> 1  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 2  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 3  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 4  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 5  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 6  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 7  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 8  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 9  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 10 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 11 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 12 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 13 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 14 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 15 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 16 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 17 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 18 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 19 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 20 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 21 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 22 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 23 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 24 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 25 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 26 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 27 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 28 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 29 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 30 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 31 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 32 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 33 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 34 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 35 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 36 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 37 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 38 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 39 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 40 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 41 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 42 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 43 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 44 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 45 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 46 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 47 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 48 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 49 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 50 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 51 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 52 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 53 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 54 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 55 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 56 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 57 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 58 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 59 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 60 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 61 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 62 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 63 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 64 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 65 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 66 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 67 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 68 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 69 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 70 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #>              TRT01EDTM           TRT02SDTM           TRT02EDTM #> 1  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 2  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 3  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 4  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 5  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 6  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 7  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 8  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 9  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 10 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 11 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 12 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 13 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 14 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 15 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 16 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 17 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 18 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 19 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 20 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 21 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 22                <NA>                <NA>                <NA> #> 23                <NA>                <NA>                <NA> #> 24                <NA>                <NA>                <NA> #> 25                <NA>                <NA>                <NA> #> 26                <NA>                <NA>                <NA> #> 27                <NA>                <NA>                <NA> #> 28                <NA>                <NA>                <NA> #> 29 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 30 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 31 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 32 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 33 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 34 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 35 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 36 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 37 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 38 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 39 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 40 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 41 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 42 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 43 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 44 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 45 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 46 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 47 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 48 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 49 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 50 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 51 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 52 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 53 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 54 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 55 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 56 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 57 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 58 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 59 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 60 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 61 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 62 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 63 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 64 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 65 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 66 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 67 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 68 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 69 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 70 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #>               AP01SDTM            AP01EDTM            AP02SDTM #> 1  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 2  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 3  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 4  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 5  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 6  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 7  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 8  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 9  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 10 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 11 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 12 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 13 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 14 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 15 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 16 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 17 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 18 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 19 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 20 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 21 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 22 2020-02-26 18:15:59                <NA>                <NA> #> 23 2020-02-26 18:15:59                <NA>                <NA> #> 24 2020-02-26 18:15:59                <NA>                <NA> #> 25 2020-02-26 18:15:59                <NA>                <NA> #> 26 2020-02-26 18:15:59                <NA>                <NA> #> 27 2020-02-26 18:15:59                <NA>                <NA> #> 28 2020-02-26 18:15:59                <NA>                <NA> #> 29 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 30 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 31 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 32 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 33 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 34 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 35 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 36 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 37 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 38 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 39 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 40 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 41 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 42 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 43 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 44 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 45 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 46 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 47 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 48 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 49 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 50 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 51 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 52 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 53 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 54 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 55 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 56 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 57 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 58 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 59 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 60 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 61 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 62 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 63 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 64 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 65 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 66 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 67 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 68 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 69 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 70 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #>               AP02EDTM       EOSSTT       EOTSTT      EOSDT EOSDY       DCSREAS #> 1  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 2  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 3  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 4  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 5  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 6  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 7  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 8  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 9  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 10 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 11 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 12 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 13 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 14 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 15 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 16 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 17 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 18 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 19 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 20 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 21 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 22                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 23                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 24                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 25                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 26                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 27                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 28                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 29 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 30 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 31 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 32 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 33 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 34 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 35 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 36 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 37 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 38 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 39 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 40 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 41 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 42 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 43 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 44 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 45 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 46 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 47 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 48 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 49 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 50 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 51 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 52 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 53 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 54 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 55 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 56 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 57 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 58 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 59 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 60 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 61 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 62 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 63 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 64 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 65 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 66 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 67 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 68 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 69 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 70 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #>         DTHDT             DTHCAUS              DTHCAT LDDTHELD LDDTHGR1 #> 1        <NA>                <NA>                <NA>       NA     <NA> #> 2        <NA>                <NA>                <NA>       NA     <NA> #> 3        <NA>                <NA>                <NA>       NA     <NA> #> 4        <NA>                <NA>                <NA>       NA     <NA> #> 5        <NA>                <NA>                <NA>       NA     <NA> #> 6        <NA>                <NA>                <NA>       NA     <NA> #> 7        <NA>                <NA>                <NA>       NA     <NA> #> 8  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 9  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 10 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 11 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 12 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 13 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 14 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 15 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 16 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 17 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 18 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 19 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 20 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 21 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 22       <NA>                <NA>                <NA>       NA     <NA> #> 23       <NA>                <NA>                <NA>       NA     <NA> #> 24       <NA>                <NA>                <NA>       NA     <NA> #> 25       <NA>                <NA>                <NA>       NA     <NA> #> 26       <NA>                <NA>                <NA>       NA     <NA> #> 27       <NA>                <NA>                <NA>       NA     <NA> #> 28       <NA>                <NA>                <NA>       NA     <NA> #> 29       <NA>                <NA>                <NA>       NA     <NA> #> 30       <NA>                <NA>                <NA>       NA     <NA> #> 31       <NA>                <NA>                <NA>       NA     <NA> #> 32       <NA>                <NA>                <NA>       NA     <NA> #> 33       <NA>                <NA>                <NA>       NA     <NA> #> 34       <NA>                <NA>                <NA>       NA     <NA> #> 35       <NA>                <NA>                <NA>       NA     <NA> #> 36       <NA>                <NA>                <NA>       NA     <NA> #> 37       <NA>                <NA>                <NA>       NA     <NA> #> 38       <NA>                <NA>                <NA>       NA     <NA> #> 39       <NA>                <NA>                <NA>       NA     <NA> #> 40       <NA>                <NA>                <NA>       NA     <NA> #> 41       <NA>                <NA>                <NA>       NA     <NA> #> 42       <NA>                <NA>                <NA>       NA     <NA> #> 43       <NA>                <NA>                <NA>       NA     <NA> #> 44       <NA>                <NA>                <NA>       NA     <NA> #> 45       <NA>                <NA>                <NA>       NA     <NA> #> 46       <NA>                <NA>                <NA>       NA     <NA> #> 47       <NA>                <NA>                <NA>       NA     <NA> #> 48       <NA>                <NA>                <NA>       NA     <NA> #> 49       <NA>                <NA>                <NA>       NA     <NA> #> 50       <NA>                <NA>                <NA>       NA     <NA> #> 51       <NA>                <NA>                <NA>       NA     <NA> #> 52       <NA>                <NA>                <NA>       NA     <NA> #> 53       <NA>                <NA>                <NA>       NA     <NA> #> 54       <NA>                <NA>                <NA>       NA     <NA> #> 55       <NA>                <NA>                <NA>       NA     <NA> #> 56       <NA>                <NA>                <NA>       NA     <NA> #> 57       <NA>                <NA>                <NA>       NA     <NA> #> 58       <NA>                <NA>                <NA>       NA     <NA> #> 59       <NA>                <NA>                <NA>       NA     <NA> #> 60       <NA>                <NA>                <NA>       NA     <NA> #> 61       <NA>                <NA>                <NA>       NA     <NA> #> 62       <NA>                <NA>                <NA>       NA     <NA> #> 63       <NA>                <NA>                <NA>       NA     <NA> #> 64       <NA>                <NA>                <NA>       NA     <NA> #> 65       <NA>                <NA>                <NA>       NA     <NA> #> 66       <NA>                <NA>                <NA>       NA     <NA> #> 67       <NA>                <NA>                <NA>       NA     <NA> #> 68       <NA>                <NA>                <NA>       NA     <NA> #> 69       <NA>                <NA>                <NA>       NA     <NA> #> 70       <NA>                <NA>                <NA>       NA     <NA> #>      LSTALVDT DTHADY ADTHAUT AGEGR1   TRTDURD DCSREAS_GRP #> 1  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 2  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 3  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 4  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 5  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 6  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 7  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 8  2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 9  2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 10 2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 11 2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 12 2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 13 2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 14 2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 15 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 16 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 17 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 18 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 19 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 20 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 21 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 22       <NA>     NA    <NA>    <65        NA        <NA> #> 23       <NA>     NA    <NA>    <65        NA        <NA> #> 24       <NA>     NA    <NA>    <65        NA        <NA> #> 25       <NA>     NA    <NA>    <65        NA        <NA> #> 26       <NA>     NA    <NA>    <65        NA        <NA> #> 27       <NA>     NA    <NA>    <65        NA        <NA> #> 28       <NA>     NA    <NA>    <65        NA        <NA> #> 29 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 30 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 31 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 32 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 33 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 34 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 35 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 36 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 37 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 38 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 39 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 40 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 41 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 42 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 43 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 44 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 45 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 46 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 47 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 48 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 49 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 50 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 51 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 52 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 53 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 54 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 55 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 56 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 57 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 58 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 59 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 60 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 61 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 62 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 63 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 64 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 65 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 66 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 67 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 68 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 69 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 70 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #>                                      PARAM PARAMCD                AVISIT #> 1  Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 2  Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 3  Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 4  Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 5  Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 6  Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 7  Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 8  Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 9  Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 10 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 11 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 12 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 13 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 14 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 15 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 16 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 17 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 18 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 19 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 20 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 21 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 22 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 23 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 24 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 25 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 26 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 27 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 28 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 29 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 30 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 31 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 32 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 33 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 34 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 35 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 36 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 37 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 38 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 39 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 40 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 41 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 42 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 43 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 44 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 45 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 46 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 47 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 48 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 49 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 50 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 51 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 52 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 53 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 54 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 55 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 56 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 57 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 58 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 59 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 60 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 61 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 62 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 63 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 64 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 65 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 66 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 67 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 68 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 69 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 70 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #>    AVISITN       ADTM  ADY   DTYPE      AVAL            AVALC AVALU     BASE #> 1      999 2022-12-07  689         170.92083 170.920832028446    mm 113.2925 #> 2        4 2022-12-20  702 MINIMUM 129.31849 129.318489083911    mm 113.2925 #> 3       -1 2020-10-09 -100         176.74793 176.747928468497    mm 113.2925 #> 4        0 2021-01-17    0                NA             <NA>    mm 113.2925 #> 5        2 2022-10-21  642         155.21502 155.215022960478    mm 113.2925 #> 6        4 2022-12-20  702         129.31849 129.318489083911    mm 113.2925 #> 7      999 2021-10-16  272         186.12497  186.12497059324    mm 113.2925 #> 8      999 2020-09-07  230         162.83456 162.834559197379    mm 137.2934 #> 9        4 2021-01-03  348         203.88264 203.882642391259    mm 137.2934 #> 10     999 2021-08-17  574         177.21001 177.210013002554    mm 137.2934 #> 11     999 2020-09-07  230 MINIMUM 162.83456 162.834559197379    mm 137.2934 #> 12       0 2020-01-21    0                NA             <NA>    mm 137.2934 #> 13       2 2020-11-04  288         192.00660 192.006595354685    mm 137.2934 #> 14      -1 2019-10-13 -100         134.70663 134.706625614629    mm 137.2934 #> 15       4 2021-08-28  483         168.40263 168.402625087087    mm 132.9968 #> 16     999 2021-04-27  360 MINIMUM 133.52191 133.521905548814    mm 132.9968 #> 17      -1 2020-01-23 -100         142.36212 142.362118285105    mm 132.9968 #> 18       2 2021-06-29  423         134.27664 134.276636235556    mm 132.9968 #> 19     999 2020-08-19  109         135.26523 135.265230236085    mm 132.9968 #> 20       0 2020-05-02    0                NA             <NA>    mm 132.9968 #> 21     999 2021-04-27  360         133.52191 133.521905548814    mm 132.9968 #> 22       0 2020-02-26    0                NA             <NA>    mm 141.9365 #> 23      -1 2019-11-18 -100         139.30736 139.307364831736    mm 141.9365 #> 24     999 2021-03-06  374         198.01823 198.018230416784    mm 141.9365 #> 25       2 2021-05-26  455         132.88408 132.884083286846    mm 141.9365 #> 26     999 2020-03-05    8         133.57914  133.57913565285    mm 141.9365 #> 27       4 2021-07-25  515 MINIMUM 121.63978 121.639776669181    mm 141.9365 #> 28       4 2021-07-25  515         121.63978 121.639776669181    mm 141.9365 #> 29       2 2020-01-25  303         209.04787 209.047870741207    mm 161.6451 #> 30       4 2020-03-25  363         152.92758 152.927578195138    mm 161.6451 #> 31       0 2019-03-28    0                NA             <NA>    mm 161.6451 #> 32     999 2021-11-14  962         187.63126 187.631264810984    mm 161.6451 #> 33     999 2020-07-05  465 MINIMUM 111.73624 111.736235465107    mm 161.6451 #> 34     999 2020-07-05  465         111.73624 111.736235465107    mm 161.6451 #> 35      -1 2018-12-18 -100         171.03331 171.033308539064    mm 161.6451 #> 36       2 2022-11-05  861         153.31581 153.315812444564    mm 117.4207 #> 37     999 2023-03-28 1004         179.47970 179.479703823713    mm 117.4207 #> 38     999 2022-05-03  675         173.19144 173.191438067149    mm 117.4207 #> 39       0 2020-06-27    0                NA             <NA>    mm 117.4207 #> 40       2 2022-11-05  861 MINIMUM 153.31581 153.315812444564    mm 117.4207 #> 41       4 2023-01-04  921         155.42461 155.424614142239    mm 117.4207 #> 42      -1 2020-03-19 -100         174.64144 174.641438730238    mm 117.4207 #> 43       4 2021-09-18  727 MINIMUM 120.75645 120.756454557208    mm 107.3777 #> 44     999 2020-12-11  446         122.32514 122.325137102402    mm 107.3777 #> 45       0 2019-09-22    0                NA             <NA>    mm 107.3777 #> 46     999 2020-09-13  357         124.91752 124.917520384125    mm 107.3777 #> 47      -1 2019-06-14 -100         170.10272 170.102716143127    mm 107.3777 #> 48       2 2021-07-20  667         142.91768  142.91768207549    mm 107.3777 #> 49       4 2021-09-18  727         120.75645 120.756454557208    mm 107.3777 #> 50      -1 2020-05-20 -100         116.29608 116.296079891356    mm 161.1686 #> 51       2 2021-07-21  327         207.32206 207.322064439334    mm 161.1686 #> 52       4 2021-09-19  387         177.35987 177.359868282648    mm 161.1686 #> 53       0 2020-08-28    0                NA             <NA>    mm 161.1686 #> 54     999 2021-02-25  181 MINIMUM 125.44212 125.442123033571    mm 161.1686 #> 55     999 2021-10-20  418         128.86572 128.865720965572    mm 161.1686 #> 56     999 2021-02-25  181         125.44212 125.442123033571    mm 161.1686 #> 57       0 2020-10-26    0                NA             <NA>    mm 163.2708 #> 58      -1 2020-07-18 -100         151.82471 151.824708256163    mm 163.2708 #> 59     999 2021-04-09  165         125.77553 125.775527169834    mm 163.2708 #> 60     999 2023-03-25  880         195.61622 195.616215766854    mm 163.2708 #> 61       4 2023-02-09  836 MINIMUM  82.85676 82.8567640271941    mm 163.2708 #> 62       2 2022-12-11  776         102.75526  102.75525794363    mm 163.2708 #> 63       4 2023-02-09  836          82.85676 82.8567640271941    mm 163.2708 #> 64     999 2020-06-13  240 MINIMUM 137.60168  137.60167522998    mm 181.6170 #> 65     999 2021-12-03  778         152.16982 152.169817521355    mm 181.6170 #> 66       4 2022-04-04  900         178.59575 178.595745543059    mm 181.6170 #> 67     999 2020-06-13  240         137.60168  137.60167522998    mm 181.6170 #> 68      -1 2019-07-09 -100         148.93469 148.934693049719    mm 181.6170 #> 69       2 2022-02-03  840         148.18341 148.183410802958    mm 181.6170 #> 70       0 2019-10-17    0                NA             <NA>    mm 181.6170 #>    ABLFL         CHG        PCHG ONTRTFL ANL01FL ANL02FL ANL03FL #> 1         57.6283037  50.8668175       Y       Y                 #> 2         16.0259607  14.1456466       Y                       Y #> 3                 NA          NA                                 #> 4      Y          NA          NA                       Y       Y #> 5         41.9224946  37.0037594       Y       Y                 #> 6         16.0259607  14.1456466       Y       Y       Y         #> 7         72.8324422  64.2870658               Y                 #> 8         25.5411754  18.6033549       Y       Y                 #> 9         66.5892586  48.5014331       Y       Y                 #> 10        39.9166292  29.0739642               Y       Y         #> 11        25.5411754  18.6033549       Y                       Y #> 12     Y          NA          NA                       Y       Y #> 13        54.7132116  39.8513097       Y       Y                 #> 14                NA          NA                                 #> 15        35.4058146  26.6215517       Y       Y       Y         #> 16         0.5250951   0.3948178       Y                       Y #> 17                NA          NA                                 #> 18         1.2798258   0.9622981       Y       Y                 #> 19         2.2684198   1.7056197       Y       Y                 #> 20     Y          NA          NA                       Y       Y #> 21         0.5250951   0.3948178               Y                 #> 22     Y          NA          NA                       Y       Y #> 23                NA          NA                                 #> 24        56.0817767  39.5118909       Y       Y                 #> 25        -9.0523704  -6.3777629       Y       Y                 #> 26        -8.3573181  -5.8880702               Y                 #> 27       -20.2966771 -14.2998339       Y                       Y #> 28       -20.2966771 -14.2998339       Y       Y       Y         #> 29        47.4028071  29.3252426       Y       Y                 #> 30        -8.7174854  -5.3929797       Y       Y                 #> 31     Y          NA          NA                       Y       Y #> 32        25.9862012  16.0760871       Y       Y       Y         #> 33       -49.9088282 -30.8755659       Y                       Y #> 34       -49.9088282 -30.8755659               Y                 #> 35                NA          NA                                 #> 36        35.8951600  30.5697160       Y       Y                 #> 37        62.0590514  52.8519048       Y       Y       Y         #> 38        55.7707856  47.4965728               Y                 #> 39     Y          NA          NA                       Y       Y #> 40        35.8951600  30.5697160       Y                       Y #> 41        38.0039617  32.3656537       Y       Y                 #> 42                NA          NA                                 #> 43        13.3787815  12.4595562       Y                       Y #> 44        14.9474641  13.9204582       Y       Y                 #> 45     Y          NA          NA                       Y       Y #> 46        17.5398474  16.3347248               Y                 #> 47                NA          NA                                 #> 48        35.5400090  33.0981367       Y       Y                 #> 49        13.3787815  12.4595562       Y       Y       Y         #> 50                NA          NA                                 #> 51        46.1534587  28.6367549       Y       Y                 #> 52        16.1912625  10.0461640       Y       Y                 #> 53     Y          NA          NA                       Y       Y #> 54       -35.7264827 -22.1671476       Y                       Y #> 55       -32.3028848 -20.0429138       Y       Y       Y         #> 56       -35.7264827 -22.1671476               Y                 #> 57     Y          NA          NA                       Y       Y #> 58                NA          NA                                 #> 59       -37.4952615 -22.9650765               Y                 #> 60        32.3454271  19.8109089       Y       Y       Y         #> 61       -80.4140246 -49.2519362       Y                       Y #> 62       -60.5155307 -37.0645179       Y       Y                 #> 63       -80.4140246 -49.2519362       Y       Y                 #> 64       -44.0153038 -24.2352362       Y                       Y #> 65       -29.4471615 -16.2138814       Y       Y                 #> 66        -3.0212335  -1.6635193       Y       Y       Y         #> 67       -44.0153038 -24.2352362               Y                 #> 68                NA          NA                                 #> 69       -33.4335682 -18.4088340       Y       Y                 #> 70     Y          NA          NA                       Y       Y"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radtte.html","id":null,"dir":"Reference","previous_headings":"","what":"Time-to-Event Analysis Dataset (ADTTE) — radtte","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"Function generating random Time--Event Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radtte.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"","code":"radtte(   adsl,   event_descr = NULL,   censor_descr = NULL,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(CNSR = c(NA, 0.1), AVAL = c(1234, 0.1), AVALU = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radtte.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). event_descr (character vector) Descriptions events. Defaults NULL. censor_descr (character vector) Descriptions censors. Defaults NULL. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADTTE data cadtte returned new data generated. set TRUE arguments radtte ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radtte.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radtte.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"Keys: STUDYID, USUBJID, PARAMCD","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radtte.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adtte <- radtte(adsl, seed = 2) adtte #> # A tibble: 50 × 67 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  8 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 40 more rows #> # ℹ 56 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radvs.html","id":null,"dir":"Reference","previous_headings":"","what":"Vital Signs Analysis Dataset (ADVS) — radvs","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"Function generating random Vital Signs Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radvs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"","code":"radvs(   adsl,   param = c(\"Diastolic Blood Pressure\", \"Pulse Rate\", \"Respiratory Rate\",     \"Systolic Blood Pressure\", \"Temperature\", \"Weight\"),   paramcd = c(\"DIABP\", \"PULSE\", \"RESP\", \"SYSBP\", \"TEMP\", \"WEIGHT\"),   paramu = c(\"Pa\", \"beats/min\", \"breaths/min\", \"Pa\", \"C\", \"Kg\"),   visit_format = \"WEEK\",   n_assessments = 5L,   n_days = 5L,   seed = NULL,   na_percentage = 0,   na_vars = list(CHG2 = c(1235, 0.1), PCHG2 = c(1235, 0.1), CHG = c(1234, 0.1), PCHG =     c(1234, 0.1), AVAL = c(123, 0.1), AVALU = c(123, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radvs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. paramu (character vector) Parameter unit values. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADVS data cadvs returned new data generated. set TRUE arguments radvs ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radvs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radvs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, BASETYPE, AVISITN, ATPTN, DTYPE, ADTM, VSSEQ, ASPID","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radvs.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"npaszty","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/radvs.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  advs <- radvs(adsl, visit_format = \"WEEK\", n_assessments = 7L, seed = 2) advs #> # A tibble: 540 × 87 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 530 more rows #> # ℹ 76 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  advs <- radvs(adsl, visit_format = \"CYCLE\", n_assessments = 3L, seed = 2) advs #> # A tibble: 960 × 87 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 950 more rows #> # ℹ 76 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/random.cdisc.data-package.html","id":null,"dir":"Reference","previous_headings":"","what":"random.cdisc.data Package — random.cdisc.data-package","title":"random.cdisc.data Package — random.cdisc.data-package","text":"Package create random SDTM ADAM datasets.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/random.cdisc.data-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"random.cdisc.data Package — random.cdisc.data-package","text":"Maintainer: Joe Zhu joe.zhu@roche.com Authors: Pawel Rucki pawel.rucki@roche.com Nick Paszty npaszty@gene.com Jana Stoilova jana.stoilova@roche.com Davide Garolini davide.garolini@roche.com Emily de la Rua emily.de_la_rua@contractors.roche.com Christopher DiPietrantonio Adrian Waddell adrian.waddell@gene.com contributors: F. Hoffmann-La Roche AG [copyright holder, funder]","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/rcd_var_relabel.html","id":null,"dir":"Reference","previous_headings":"","what":"Primary Keys: Labels — rcd_var_relabel","title":"Primary Keys: Labels — rcd_var_relabel","text":"Shallow copy formatters::var_relabel(). Used mainly internally relabel subset variables data set.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/rcd_var_relabel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Primary Keys: Labels — rcd_var_relabel","text":"","code":"rcd_var_relabel(x, ...)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/rcd_var_relabel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Primary Keys: Labels — rcd_var_relabel","text":"x (data.frame) Data frame containing variables labels applied. ... (named character) Name-Value pairs, name corresponds variable name x value new variable label.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/rcd_var_relabel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Primary Keys: Labels — rcd_var_relabel","text":"x (data.frame) Data frame labels applied.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/rel_var.html","id":null,"dir":"Reference","previous_headings":"","what":"Related Variables: Assign — rel_var","title":"Related Variables: Assign — rel_var","text":"Assign values related variable within domain.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/rel_var.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Related Variables: Assign — rel_var","text":"","code":"rel_var(df, var_name, related_var, var_values = NULL)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/rel_var.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Related Variables: Assign — rel_var","text":"df (data.frame) Data frame containing related variables. var_name (character) Name variable related rel_var add df. related_var (character) Name variable within df values values var_name must relate. var_values () Vector values related values related_var.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/rel_var.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Related Variables: Assign — rel_var","text":"df added factor variable var_name containing var_values corresponding related_var.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/rel_var.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Related Variables: Assign — rel_var","text":"","code":"# Example with data.frame. params <- c(\"Level A\", \"Level B\", \"Level C\") adlb_df <- data.frame(   ID = 1:9,   PARAM = factor(     rep(c(\"Level A\", \"Level B\", \"Level C\"), 3),     levels = params   ) ) rel_var(   df = adlb_df,   var_name = \"PARAMCD\",   var_values = c(\"A\", \"B\", \"C\"),   related_var = \"PARAM\" ) #>   ID   PARAM PARAMCD #> 1  1 Level A       A #> 2  2 Level B       B #> 3  3 Level C       C #> 4  4 Level A       A #> 5  5 Level B       B #> 6  6 Level C       C #> 7  7 Level A       A #> 8  8 Level B       B #> 9  9 Level C       C  # Example with tibble. adlb_tbl <- tibble::tibble(   ID = 1:9,   PARAM = factor(     rep(c(\"Level A\", \"Level B\", \"Level C\"), 3),     levels = params   ) ) rel_var(   df = adlb_tbl,   var_name = \"PARAMCD\",   var_values = c(\"A\", \"B\", \"C\"),   related_var = \"PARAM\" ) #> # A tibble: 9 × 3 #>      ID PARAM   PARAMCD #>   <int> <fct>   <fct>   #> 1     1 Level A A       #> 2     2 Level B B       #> 3     3 Level C C       #> 4     4 Level A A       #> 5     5 Level B B       #> 6     6 Level C C       #> 7     7 Level A A       #> 8     8 Level B B       #> 9     9 Level C C"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/relvar_init.html","id":null,"dir":"Reference","previous_headings":"","what":"Related Variables: Initialize — relvar_init","title":"Related Variables: Initialize — relvar_init","text":"Verify initialize related variable values. example, relvar_init(\"Alanine Aminotransferase Measurement\", \"ALT\").","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/relvar_init.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Related Variables: Initialize — relvar_init","text":"","code":"relvar_init(relvar1, relvar2)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/relvar_init.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Related Variables: Initialize — relvar_init","text":"relvar1 (list character) List n elements. relvar2 (list character) List n elements.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/relvar_init.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Related Variables: Initialize — relvar_init","text":"vector n elements.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/replace_na.html","id":null,"dir":"Reference","previous_headings":"","what":"Replace Values in a Vector by NA — replace_na","title":"Replace Values in a Vector by NA — replace_na","text":"Randomized replacement values NA.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/replace_na.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Replace Values in a Vector by NA — replace_na","text":"","code":"replace_na(v, percentage = 0.05, seed = NULL)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/replace_na.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Replace Values in a Vector by NA — replace_na","text":"v () Vector type. percentage (proportion) Value 0 1 defining much vector shall replaced NA. number randomized +/- 5% full randomization. seed (numeric) Seed use reproducible random number generation.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/replace_na.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Replace Values in a Vector by NA — replace_na","text":"input vector v certain number values replaced NA.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/retain.html","id":null,"dir":"Reference","previous_headings":"","what":"Primary Keys: Retain Values — retain","title":"Primary Keys: Retain Values — retain","text":"Retain values within primary keys.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/retain.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Primary Keys: Retain Values — retain","text":"","code":"retain(df, value_var, event, outside = NA)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/retain.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Primary Keys: Retain Values — retain","text":"df (data.frame) Data frame apply retain. value_var () Variable df containing value retained. event (expression) Expression returning logical value trigger retain. outside () Additional value retain. Defaults NA.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/retain.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Primary Keys: Retain Values — retain","text":"vector values expression true.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/rtexp.html","id":null,"dir":"Reference","previous_headings":"","what":"Truncated Exponential Distribution — rtexp","title":"Truncated Exponential Distribution — rtexp","text":"generates random numbers truncated Exponential distribution, .e. X | X > l X | X < r X ~ Exp(rate). advantage guarantee return exactly n numbers without using loop internally. can derived quantile functions left- right-truncated Exponential distributions.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/rtexp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Truncated Exponential Distribution — rtexp","text":"","code":"rtexp(n, rate, l = NULL, r = NULL)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/rtexp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Truncated Exponential Distribution — rtexp","text":"n (numeric) Number random numbers. rate (numeric) Non-negative rate. l (numeric) Positive left-hand truncation parameter. r (numeric) Positive right-hand truncation parameter.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/rtexp.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Truncated Exponential Distribution — rtexp","text":"random numbers. neither l r provided usual Exponential distribution used.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/rtexp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Truncated Exponential Distribution — rtexp","text":"","code":"x <- stats::rexp(1e6, rate = 5) x <- x[x > 0.5] hist(x)   y <- rtexp(1e6, rate = 5, l = 0.5) hist(y)   z <- rtexp(1e6, rate = 5, r = 0.5) hist(z)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/rtpois.html","id":null,"dir":"Reference","previous_headings":"","what":"Zero-Truncated Poisson Distribution — rtpois","title":"Zero-Truncated Poisson Distribution — rtpois","text":"generates random numbers zero-truncated Poisson distribution, .e. X | X > 0 X ~ Poisson(lambda). advantage guarantee return exactly n numbers without using loop internally. solution provided post Peter Dalgaard.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/rtpois.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Zero-Truncated Poisson Distribution — rtpois","text":"","code":"rtpois(n, lambda)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/rtpois.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Zero-Truncated Poisson Distribution — rtpois","text":"n (numeric) Number random numbers. lambda (numeric) Non-negative mean(s).","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/rtpois.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Zero-Truncated Poisson Distribution — rtpois","text":"random numbers.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/rtpois.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Zero-Truncated Poisson Distribution — rtpois","text":"","code":"x <- rpois(1e6, lambda = 5) x <- x[x > 0] hist(x)   y <- rtpois(1e6, lambda = 5) hist(y)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/sample_fct.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a Factor with Random Elements of x — sample_fct","title":"Create a Factor with Random Elements of x — sample_fct","text":"Sample elements x replacement build factor.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/sample_fct.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a Factor with Random Elements of x — sample_fct","text":"","code":"sample_fct(x, N, ...)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/sample_fct.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a Factor with Random Elements of x — sample_fct","text":"x (character vector factor) character vector also used levels returned factor. factor levels used new levels. N (numeric) Number items choose. ... Additional arguments passed sample.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/sample_fct.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a Factor with Random Elements of x — sample_fct","text":"factor length N.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/sample_fct.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a Factor with Random Elements of x — sample_fct","text":"","code":"sample_fct(letters[1:3], 10) #>  [1] c b c b c b b a a b #> Levels: a b c sample_fct(iris$Species, 10) #>  [1] versicolor setosa     versicolor versicolor setosa     setosa     #>  [7] versicolor versicolor versicolor setosa     #> Levels: setosa versicolor virginica"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/visit_schedule.html","id":null,"dir":"Reference","previous_headings":"","what":"Create Visit Schedule — visit_schedule","title":"Create Visit Schedule — visit_schedule","text":"Create visit schedule factor.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/visit_schedule.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create Visit Schedule — visit_schedule","text":"","code":"visit_schedule(visit_format = \"WEEK\", n_assessments = 10L, n_days = 5L)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/visit_schedule.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create Visit Schedule — visit_schedule","text":"visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\").","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/visit_schedule.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create Visit Schedule — visit_schedule","text":"factor length n_assessments.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/visit_schedule.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Create Visit Schedule — visit_schedule","text":"X number visits, X number cycles Y number days.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/reference/visit_schedule.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create Visit Schedule — visit_schedule","text":"","code":"visit_schedule(visit_format = \"WEeK\", n_assessments = 10L) visit_schedule(visit_format = \"CyCLE\", n_assessments = 5L, n_days = 2L)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"randomcdiscdata-0316","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.16","title":"random.cdisc.data 0.3.16","text":"CRAN release: 2024-10-10","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"miscellaneous-0-3-16","dir":"Changelog","previous_headings":"","what":"Miscellaneous","title":"random.cdisc.data 0.3.16","text":"Renamed var_relabel rcd_var_relabel copied new functionalities avoid namespace conflict formatters package. Made rcd_var_relabel internal intended developers use . Updated ARM ACTARM variables ADAB data.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"randomcdiscdata-0315","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.15","title":"random.cdisc.data 0.3.15","text":"CRAN release: 2024-03-27","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"new-features-0-3-15","dir":"Changelog","previous_headings":"","what":"New features","title":"random.cdisc.data 0.3.15","text":"Asynchronous cached data updates rebuild_cached_data vignette - data updated (dependency’s) source file updated.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"enhancements-0-3-15","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"random.cdisc.data 0.3.15","text":"Updated level ETHNIC variable datasets \" REPORTED\" \"REPORTED\".","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"miscellaneous-0-3-15","dir":"Changelog","previous_headings":"","what":"Miscellaneous","title":"random.cdisc.data 0.3.15","text":"Specified minimal version package dependencies.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"breaking-changes-0-3-14","dir":"Changelog","previous_headings":"","what":"Breaking changes","title":"random.cdisc.data 0.3.14","text":"Renamed ADSL argument adsl radab, radae, radaette, radcm, raddv, radeg, radex, radhy, radlb, radmh, radpc, radpp, radqlqc, radqs, radrs, radsaftte, radsub, radtr, radtte, radvs, get_qs_data. Renamed ADPC argument adpc radab. Renamed event.descr argument event_descr censor.descr argument censor_descr radaette adtte.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"new-features-0-3-14","dir":"Changelog","previous_headings":"","what":"New features","title":"random.cdisc.data 0.3.14","text":"Added new random dataset generator: Anti-Drug Antibody Analysis Dataset (radab). Added new random dataset generator: EORTC QLQ-C30 V3 Analysis Dataset (radqlqc).","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"enhancements-0-3-14","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"random.cdisc.data 0.3.14","text":"Added variables ASTDY, AENDY, EXDOSFRQ, EXROUTE, VISIT, VISITDY, EXSTDTC, EXENDTC, EXSTDY, EXENDY, TRTSDT, TRTEDT adex. Added default PARAMs new variables PPSTINT, PPENINT, REGIMEN, PKARMCD adpp. Added TNE PARAMCD, Total Number Exacerbations PARAM, new variable lgTMATRSK adtte. Added default PARAMs post-baseline visits adab enhanced variables ADAPBLFL, ABLFL, ADABLFL, PARCAT1, RELTMU. Added variables AEWITHFL ADTHAUT adsl. Added variable ATIREL admh. Added variables CMSTRTPT, CMENRTPT, ADURN, ADURU adcm. Added variables AESCONG, AESDISAB, AESHOSP, AESLIFE, AESMIE, LDOSEDTM adae. Added parameter with_trt02 radsl make second treatment period available. with_trt02 = TRUE (default), add variables TRT02A, TRT02P, TRT02SDTM, TRT02EDTM, AP02SDTM, AP02EDTM, TRT01SDTM, TRT01EDTM, AP01SDTM, AP01EDTM adsl, set TRTSDTM TRT01SDTM, TRTEDTM TRT02EDTM. Added variable LDRELTM adae. Aligned logic ADTM, ADY, ONTRTFL variables AVISIT applicable within adeg, adlb, adqs, adsub, adtr, advs. Made AVAL values realistic updated derivations ANRIND, *STRESC, LOQFL depend value PARAMCD adlb advs. Added tests increase package test coverage. Added “datetime” “date” valid variable types apply apply_metadata. Implemented lubridate package date/datetime variable derivations.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"bug-fixes-0-3-14","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"random.cdisc.data 0.3.14","text":"Updated ANL01FL NA values \"\" adae. Updated DVDECOD DVSCAT values addv. Fixed adtm calculations records AVISIT ADTM patient. Fixed checks na_percentage argument datasets. Updated package breaking changes tidyselect. Updated adtte events, analysis values censor values make logical sense.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"miscellaneous-0-3-14","dir":"Changelog","previous_headings":"","what":"Miscellaneous","title":"random.cdisc.data 0.3.14","text":"Updated installation method aligned packages. Updated tests use testthat 3rd edition added snapshot testing random rows. Implemented lifecycle package stable badge exported functions, tagged internal functions. Combined ADQLQC helper functions documentation file. Improved usability examples. Renamed random.cdisc.data.R file package.R cleaned contents. Added detailed documentation function parameters. Converted dataset names lowercase/snake case consistency NEST packages. Refactor adpc adab following new CDISC standard. Refactor abab parameters visits align adpc. Skipping examples h_adqlqc documentation. Changed example apply_metadata reduce example run time.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"new-features-0-3-13","dir":"Changelog","previous_headings":"","what":"New features","title":"random.cdisc.data 0.3.13","text":"Added new random dataset generator: PK Analysis Dataset (radpc). Added new random dataset generator: PK Parameter Dataset (radpp).","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"enhancements-0-3-13","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"random.cdisc.data 0.3.13","text":"Added new variables AGEU, TRT01P, TRT01A ADSL. Added new variables CMINDC, CMDOSE, CMTRT, CMDOSU, CMROUTE, CMDOSFRQ ADCM. Added ANRLO ANRHI column ADLB ADVS. Added AERELNST column ADAE. Added MHDISTAT column ADMH. Enhanced radpc add argument set duration number days.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"bug-fix-0-3-13","dir":"Changelog","previous_headings":"","what":"Bug fix","title":"random.cdisc.data 0.3.13","text":"Fixed typo ADSL$BMRKR1’s label.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"miscellaneous-0-3-13","dir":"Changelog","previous_headings":"","what":"Miscellaneous","title":"random.cdisc.data 0.3.13","text":"Updated required R version >= 3.6. Removed deprecated package utils.nest imports now use checkmate validation functions. Removed deprecated dependency test.nest.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"enhancements-0-3-12","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"random.cdisc.data 0.3.12","text":"Added EOTSTT variable ADSL dataset. Enabled users define mean analysis value lab test radlb new argument aval_mean. Added AERELNST AEACNOTH variables ADAE dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"miscellaneous-0-3-12","dir":"Changelog","previous_headings":"","what":"Miscellaneous","title":"random.cdisc.data 0.3.12","text":"Updated LICENCE README new package references. Corrected EVNTDESC CNSR variable values “OS” parameter ADTTE dataset. Fixed typo label BASE2 variable ADQS dataset. Added error_on_lint: TRUE .lintr.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"enhancements-0-3-11","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"random.cdisc.data 0.3.11","text":"Added AECONTRT variable ADAE dataset. Added new parameters ADAETTE dataset. Added new parameters ADHY dataset. Added period variables APERIOD APERIODC ADHY dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"randomcdiscdata-0310","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.10","title":"random.cdisc.data 0.3.10","text":"Added parameters ADHY data. Fix bug make internal helper rel_var work tibbles. Added new random dataset generator: Hys Law Analysis Dataset (radhy) . Updated sampling TRTSDTM radsl efficient.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"randomcdiscdata-039","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.9","title":"random.cdisc.data 0.3.9","text":"Fix warnings binding factors characters.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"randomcdiscdata-038","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.8","title":"random.cdisc.data 0.3.8","text":"Added variables ATC1CD, ATC2CD, ATC3CD, ATC4CD ADCM data. lookup argument now takes parameters CATCD CAT instead PARAMCD PARAM. CATCD specifies code study specific treatment emergent adverse events (e.g. “1”) CAT specifies corresponding text (e.g. “adverse event”). resulting data set contains now number total occurrences per patient specific AE category (PARAMCD starting AETOT ending CATCD). Added parameter AEREPTTE, time end AE reporting period. Generation time number adverse events now conditional censoring information, .e. longer possible situation patient censored time first AE larger AE reporting period. Updated examples use cached = TRUE. Added ADSUB dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"randomcdiscdata-037","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.7","title":"random.cdisc.data 0.3.7","text":"Added parameters BNRIND ONTRTFL ADVS data set. Added new parameter “Duration Confirmed Response” ADTTE data set.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"randomcdiscdata-036","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.6","title":"random.cdisc.data 0.3.6","text":"Fixed radsl N < 4.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"randomcdiscdata-035","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.5","title":"random.cdisc.data 0.3.5","text":"Added ADTR dataset osprey. Added 10 variables ADAE dataset: AEOUT, AEACN, AESDTH, TRTEMFL, ANL01FL, SMQ01NAM, SMQ02NAM, SMQ01SC, SMQ02SC, CQ01NAM. Added WORS02FL (Worst Post-Baseline Observation) ADEG dataset. Added ADEG dataset. Added 11 variables ADLB dataset: BNRIND, SHIFT1, ATOXGR, BTOXGR, WOS01FL, ANL01FL, WGRHIFL, WGRLOFL, WGRHIVFL, WGRLOVFL, ONTRTFL.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"randomcdiscdata-034","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.4","title":"random.cdisc.data 0.3.4","text":"Simple refactor examples.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"randomcdiscdata-033","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.3","title":"random.cdisc.data 0.3.3","text":"Remove test.nest dependency.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"randomcdiscdata-032","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.2","title":"random.cdisc.data 0.3.2","text":"Added ADMH dataset. Renamed AREL column ADAE AEREL.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"randomcdiscdata-031","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.1","title":"random.cdisc.data 0.3.1","text":"Refactored renaming functions utils.nest. Added ADEX dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"randomcdiscdata-030","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.0","title":"random.cdisc.data 0.3.0","text":"Columns classes configuration .yml file. Added Medical History Analysis Dataset (radmh). Added missing columns based Roche standards. Introduced missing values random datasets generators (.e. r<name>). Updated lists dataset columns. Enhanced auto-testing.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"randomcdiscdata-021","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.2.1","title":"random.cdisc.data 0.2.1","text":"Added cached versions datasets c<name>.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"randomcdiscdata-020","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.2.0","title":"random.cdisc.data 0.2.0","text":"New consistent approach creating random data different domains. Switch new CDISC names (e.g. ADSL instead ASL). Subject-Level Analysis Dataset (radsl). Adverse Event Analysis Dataset (radae). Time Adverse Event Analysis Dataset (radaette). Previous Concomitant Medications Analysis Dataset (radcm). Laboratory Data Analysis Dataset (radlb). Questionnaires Analysis Dataset (radqs). Time--Event Dataset (radtte). Tumor Response Analysis Dataset (radrs). Vital Signs Analysis Dataset (radvs).","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/news/index.html","id":"randomcdiscdata-010","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.1.0","title":"random.cdisc.data 0.1.0","text":"Initial release.","code":""}]
+[{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CODE_OF_CONDUCT.html","id":"our-pledge","dir":"","previous_headings":"","what":"Our Pledge","title":"Contributor Covenant Code of Conduct","text":"members, contributors, leaders pledge make participation community harassment-free experience everyone, regardless age, body size, visible invisible disability, ethnicity, sex characteristics, gender identity expression, level experience, education, socio-economic status, nationality, personal appearance, race, caste, color, religion, sexual identity orientation. pledge act interact ways contribute open, welcoming, diverse, inclusive, healthy community.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CODE_OF_CONDUCT.html","id":"our-standards","dir":"","previous_headings":"","what":"Our Standards","title":"Contributor Covenant Code of Conduct","text":"Examples behavior contributes positive environment community include: Demonstrating empathy kindness toward people respectful differing opinions, viewpoints, experiences Giving gracefully accepting constructive feedback Accepting responsibility apologizing affected mistakes, learning experience Focusing best just us individuals, overall community Examples unacceptable behavior include: use sexualized language imagery, sexual attention advances kind Trolling, insulting derogatory comments, personal political attacks Public private harassment Publishing others’ private information, physical email address, without explicit permission conduct reasonably considered inappropriate professional setting","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CODE_OF_CONDUCT.html","id":"enforcement-responsibilities","dir":"","previous_headings":"","what":"Enforcement Responsibilities","title":"Contributor Covenant Code of Conduct","text":"Community leaders responsible clarifying enforcing standards acceptable behavior take appropriate fair corrective action response behavior deem inappropriate, threatening, offensive, harmful. Community leaders right responsibility remove, edit, reject comments, commits, code, wiki edits, issues, contributions aligned Code Conduct, communicate reasons moderation decisions appropriate.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CODE_OF_CONDUCT.html","id":"scope","dir":"","previous_headings":"","what":"Scope","title":"Contributor Covenant Code of Conduct","text":"Code Conduct applies within community spaces, also applies individual officially representing community public spaces. Examples representing community include using official e-mail address, posting via official social media account, acting appointed representative online offline event.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CODE_OF_CONDUCT.html","id":"enforcement","dir":"","previous_headings":"","what":"Enforcement","title":"Contributor Covenant Code of Conduct","text":"Instances abusive, harassing, otherwise unacceptable behavior may reported community leaders responsible enforcement [INSERT CONTACT METHOD]. complaints reviewed investigated promptly fairly. community leaders obligated respect privacy security reporter incident.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CODE_OF_CONDUCT.html","id":"enforcement-guidelines","dir":"","previous_headings":"","what":"Enforcement Guidelines","title":"Contributor Covenant Code of Conduct","text":"Community leaders follow Community Impact Guidelines determining consequences action deem violation Code Conduct:","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CODE_OF_CONDUCT.html","id":"id_1-correction","dir":"","previous_headings":"Enforcement Guidelines","what":"1. Correction","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Use inappropriate language behavior deemed unprofessional unwelcome community. Consequence: private, written warning community leaders, providing clarity around nature violation explanation behavior inappropriate. public apology may requested.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CODE_OF_CONDUCT.html","id":"id_2-warning","dir":"","previous_headings":"Enforcement Guidelines","what":"2. Warning","title":"Contributor Covenant Code of Conduct","text":"Community Impact: violation single incident series actions. Consequence: warning consequences continued behavior. interaction people involved, including unsolicited interaction enforcing Code Conduct, specified period time. includes avoiding interactions community spaces well external channels like social media. Violating terms may lead temporary permanent ban.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CODE_OF_CONDUCT.html","id":"id_3-temporary-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"3. Temporary Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: serious violation community standards, including sustained inappropriate behavior. Consequence: temporary ban sort interaction public communication community specified period time. public private interaction people involved, including unsolicited interaction enforcing Code Conduct, allowed period. Violating terms may lead permanent ban.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CODE_OF_CONDUCT.html","id":"id_4-permanent-ban","dir":"","previous_headings":"Enforcement Guidelines","what":"4. Permanent Ban","title":"Contributor Covenant Code of Conduct","text":"Community Impact: Demonstrating pattern violation community standards, including sustained inappropriate behavior, harassment individual, aggression toward disparagement classes individuals. Consequence: permanent ban sort public interaction within community.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CODE_OF_CONDUCT.html","id":"attribution","dir":"","previous_headings":"","what":"Attribution","title":"Contributor Covenant Code of Conduct","text":"Code Conduct adapted Contributor Covenant, version 2.1, available https://www.contributor-covenant.org/version/2/1/code_of_conduct.html. Community Impact Guidelines inspired Mozilla’s code conduct enforcement ladder. answers common questions code conduct, see FAQ https://www.contributor-covenant.org/faq. Translations available https://www.contributor-covenant.org/translations.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CONTRIBUTING.html","id":null,"dir":"","previous_headings":"","what":"Contribution Guidelines","title":"Contribution Guidelines","text":"🙏 Thank taking time contribute! input deeply valued, whether issue, pull request, even feedback, regardless size, content scope.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CONTRIBUTING.html","id":"table-of-contents","dir":"","previous_headings":"","what":"Table of contents","title":"Contribution Guidelines","text":"👶 Getting started 📔 Code Conduct 🗃 License 📜 Issues 🚩 Pull requests 💻 Coding guidelines 🏆 Recognition model ❓ Questions","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CONTRIBUTING.html","id":"getting-started","dir":"","previous_headings":"","what":"Getting started","title":"Contribution Guidelines","text":"Please refer project documentation brief introduction. Please also see articles within project documentation additional information.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CONTRIBUTING.html","id":"code-of-conduct","dir":"","previous_headings":"","what":"Code of Conduct","title":"Contribution Guidelines","text":"Code Conduct governs project. Participants contributors expected follow rules outlined therein.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CONTRIBUTING.html","id":"license","dir":"","previous_headings":"","what":"License","title":"Contribution Guidelines","text":"contributions covered project’s license.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CONTRIBUTING.html","id":"issues","dir":"","previous_headings":"","what":"Issues","title":"Contribution Guidelines","text":"use GitHub track issues, feature requests, bugs. submitting new issue, please check issue already reported. issue already exists, please upvote existing issue 👍. new feature requests, please elaborate context benefit feature users, developers, relevant personas.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CONTRIBUTING.html","id":"github-flow","dir":"","previous_headings":"Pull requests","what":"GitHub Flow","title":"Contribution Guidelines","text":"repository uses GitHub Flow model collaboration. submit pull request: Create branch Please see branch naming convention . don’t write access repository, please fork . Make changes Make sure code passes checks imposed GitHub Actions well documented well tested unit tests sufficiently covering changes introduced Create pull request (PR) pull request description, please link relevant issue (), provide detailed description change, include assumptions. Address review comments, Post approval Merge PR write access. Otherwise, reviewer merge PR behalf. Pat back Congratulations! 🎉 now official contributor project! grateful contribution.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CONTRIBUTING.html","id":"branch-naming-convention","dir":"","previous_headings":"Pull requests","what":"Branch naming convention","title":"Contribution Guidelines","text":"Suppose changes related current issue current project; please name branch follows: <issue_id>_<short_description>. Please use underscore (_) delimiter word separation. example, 420_fix_ui_bug suitable branch name change resolving UI-related bug reported issue number 420 current project. change affects multiple repositories, please name branches follows: <issue_id>_<issue_repo>_<short description>. example, 69_awesomeproject_fix_spelling_error reference issue 69 reported project awesomeproject aims resolve one spelling errors multiple (likely related) repositories.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CONTRIBUTING.html","id":"monorepo-and-stageddependencies","dir":"","previous_headings":"Pull requests","what":"monorepo and staged.dependencies","title":"Contribution Guidelines","text":"Sometimes might need change upstream dependent package(s) able submit meaningful change. using staged.dependencies functionality simulate monorepo behavior. dependency configuration already specified project’s staged_dependencies.yaml file. need name feature branches appropriately. exception branch naming convention described . Please refer staged.dependencies package documentation details.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CONTRIBUTING.html","id":"coding-guidelines","dir":"","previous_headings":"","what":"Coding guidelines","title":"Contribution Guidelines","text":"repository follows unified processes standards adopted maintainers ensure software development carried consistently within teams cohesively across repositories.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CONTRIBUTING.html","id":"style-guide","dir":"","previous_headings":"Coding guidelines","what":"Style guide","title":"Contribution Guidelines","text":"repository follows standard tidyverse style guide uses lintr lint checks. Customized lint configurations available repository’s .lintr file.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CONTRIBUTING.html","id":"dependency-management","dir":"","previous_headings":"Coding guidelines","what":"Dependency management","title":"Contribution Guidelines","text":"Lightweight right weight. repository follows tinyverse recommedations limiting dependencies minimum.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CONTRIBUTING.html","id":"dependency-version-management","dir":"","previous_headings":"Coding guidelines","what":"Dependency version management","title":"Contribution Guidelines","text":"code compatible (!) historical versions given dependenct package, required specify minimal version DESCRIPTION file. particular: development version requires (imports) development version another package - required put abc (>= 1.2.3.9000).","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CONTRIBUTING.html","id":"r--package-versions","dir":"","previous_headings":"Coding guidelines > Recommended development environment & tools","what":"R & package versions","title":"Contribution Guidelines","text":"continuously test packages newest R version along recent dependencies CRAN BioConductor. recommend working environment also set way. can find details R version packages used R CMD check GitHub Action execution log - step prints R sessionInfo(). discover bugs older R versions older set dependencies, please create relevant bug reports.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CONTRIBUTING.html","id":"pre-commit","dir":"","previous_headings":"Coding guidelines > Recommended development environment & tools","what":"pre-commit","title":"Contribution Guidelines","text":"highly recommend use pre-commit tool combined R hooks pre-commit execute checks committing pushing changes. Pre-commit hooks already available repository’s .pre-commit-config.yaml file.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CONTRIBUTING.html","id":"recognition-model","dir":"","previous_headings":"","what":"Recognition model","title":"Contribution Guidelines","text":"mentioned previously, contributions deeply valued appreciated. contribution data available part repository insights, recognize significant contribution hence add contributor package authors list, following rules enforced: Minimum 5% lines code authored* (determined git blame query) top 5 contributors terms number commits lines added lines removed* *Excluding auto-generated code, including limited roxygen comments renv.lock files. package maintainer also reserves right adjust criteria recognize contributions.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/CONTRIBUTING.html","id":"questions","dir":"","previous_headings":"","what":"Questions","title":"Contribution Guidelines","text":"questions regarding contribution guidelines, please contact package/repository maintainer.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/SECURITY.html","id":"reporting-security-issues","dir":"","previous_headings":"","what":"Reporting Security Issues","title":"Security Policy","text":"believe found security vulnerability repositories organization, please report us coordinated disclosure. Please report security vulnerabilities public GitHub issues, discussions, pull requests. Instead, please send email vulnerability.management[@]roche.com. Please include much information listed can help us better understand resolve issue: type issue (e.g., buffer overflow, SQL injection, cross-site scripting) Full paths source file(s) related manifestation issue location affected source code (tag/branch/commit direct URL) special configuration required reproduce issue Step--step instructions reproduce issue Proof--concept exploit code (possible) Impact issue, including attacker might exploit issue information help us triage report quickly.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/SECURITY.html","id":"data-security-standards-dss","dir":"","previous_headings":"","what":"Data Security Standards (DSS)","title":"Security Policy","text":"Please make sure reporting issues form bug, feature, pull request, sensitive information PII, PHI, PCI completely removed text attachments, including pictures videos.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/articles/rebuild_cached_data.html","id":"getting-started","dir":"Articles","previous_headings":"","what":"Getting Started","title":"Rebuilding Cached Random CDISC Data","text":"following script used create, compare save cached data data/ directory. Starting R 3.6.0 default kind --hood random-number generator changed. Now, order get results set.seed() match, first call function RNGkind(sample.kind = \"Rounding\"). throws expected warning:","code":"Warning: non-uniform 'Rounding' sampler used"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/articles/rebuild_cached_data.html","id":"code-maintenance","dir":"Articles","previous_headings":"","what":"Code Maintenance","title":"Rebuilding Cached Random CDISC Data","text":"Currently, random.cdisc.data data-generating function created modified, code chunk must run build new/updated cached dataset add data/ directory. dataset dependency another dataset updated dependent dataset also updated. manually specify datasets updated, edit data_to_update vector , entering desired dataset names.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/articles/rebuild_cached_data.html","id":"update-cached-data","dir":"Articles","previous_headings":"","what":"Update Cached Data","title":"Rebuilding Cached Random CDISC Data","text":"Note: Prior running following code chunk, please ensure reinstalled random.cdisc.data package completing dataset modifications.","code":"# Helper functions # flatten_list_of_deps <- function(updated_data, data_deps) {   # Get higher deps fnc   get_higher_deps <- function(cur_dep, data_deps) {     sapply(seq_along(data_deps), function(x) {       if (any(cur_dep %in% data_deps[[x]])) {         names(data_deps)[x]       }     })   }    # Get lower deps fnc   get_lower_deps <- function(cur_dep, data_deps) {     data_deps[sapply(cur_dep, function(x) which(x == names(data_deps)))]   }    # Sort data_deps   sort_data_deps <- function(upd_data, data_deps) {     iup <- upd_data     for (ud in upd_data) {       up <- unlist(get_lower_deps(ud, data_deps))       if (any(up %in% upd_data)) {         iup <- unique(unlist(c(up[up %in% upd_data], iup)))       }     }     iup   }    # Firstly, lets sort by dependencies the initial updated data   fin_up <- sort_data_deps(updated_data, data_deps)    # Extracting higher dependencies for each value   cnt <- 1   while (cnt <= length(fin_up)) {     cur_deps <- unlist(       get_higher_deps(fin_up[cnt], data_deps)     )     if (!is.null(cur_deps)) {       cur_deps <- sort_data_deps(cur_deps, data_deps)       fin_up <- unique(c(fin_up[seq_len(cnt)], cur_deps, fin_up[-seq_len(cnt)]))     }     cnt <- cnt + 1   }    fin_up } library(random.cdisc.data) library(diffdf) library(dplyr)  # Call function to match random number generation from previous R versions RNGkind(sample.kind = \"Rounding\")  # Datasets must be listed after all of their dependencies # e.g. adsl is a dependency for all other datasets so it is listed first.  pkg_dir <- dirname(getwd()) # Listing source files and extraction of datasets' names src_files <- list.files(paste0(pkg_dir, \"/R\")) data_nms <- src_files[grepl(\"^ra*\", src_files)] %>%   stringr::str_remove(pattern = \"^r\") %>%   stringr::str_remove(pattern = \".R$\") %>%   sort() # Exception handling data_nms <- data_nms[data_nms != \"adsaftte\"] # Unbuilt for now  # Construction of dependency tree based on formals data_deps <- sapply(   data_nms,   function(x) {     dat_args <- names(formals(paste0(\"r\", x)))     dat_args[dat_args %in% data_nms]   } )  git_call <- \"git diff origin/main --name-only\" updated_files <- tryCatch(   system(git_call, intern = TRUE),   error = function(e) e ) status_uf <- attr(updated_files, \"status\") if (is(updated_files, \"error\") || (!is.null(status_uf) && status_uf == 1)) {   message(\"Found following error in git call: \", git_call)   message(e)   message(     \"The calculation continues as default by recreating all datasets \",     \"and updating the cached data if any change is found.\"   )   updated_data <- data_nms } else {   updated_data <- updated_files[grepl(\"^R\\\\/\", updated_files)] %>%     stringr::str_remove(\"^R\\\\/\") %>%     stringr::str_remove(pattern = \"^r\") %>%     stringr::str_remove(pattern = \".R$\") }  if (length(updated_data) != 0) {   stopifnot(all(updated_data %in% names(data_deps)))    data_to_update <- flatten_list_of_deps(updated_data, data_deps)   default_args <- list(seed = 1, na_vars = list(), who_coding = TRUE, percent = 80, number = 2)    # Generate and save updated cached datasets   for (dat in data_to_update) {     # Match arguments with defaults     dat_args <- default_args[names(default_args) %in% names(formals(paste0(\"r\", dat)))]      # Get the data deps cache that is already there (if adsl returns list())     dat_deps <- lapply(data_deps[[dat]], function(x) get(paste0(\"c\", x)))      # Main call to creation function     cdataset <- do.call(paste0(\"r\", dat), c(dat_args, dat_deps))      # Preview differences     cat(\"\\nSaving cached data for dataset\", paste0(\"*\", dat, \"*\"), \"with the following changes found (diffdf):\\n\")     diff_test <- diffdf(get(paste0(\"c\", dat)), cdataset)     print(diff_test)      # Check if there is any actual change to the data     if (length(diff_test) > 0) { # If no difference -> list()       # Save new cached dataset       assign(paste0(\"c\", dat), cdataset)       fl_save <- paste0(dirname(getwd()), \"/data/c\", dat, \".RData\")       attr(cdataset, \"creation date\") <- lubridate::date() # This should NOT be updated if no changes in diffdf       save(list = paste0(\"c\", dat), file = fl_save, compress = \"xz\")       cat(\"Cached dataset updated for\", paste0(\"*\", dat, \"*\"), \"in\", paste0(\"data/\", basename(fl_save), \".\"), \"\\n\")     } else {       message(\"No update detected on the final data. No cached data was updated for *\", dat, \"*.\")     }   } } else {   message(\"No source files changed: no cached datasets currently require updates.\") }"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Pawel Rucki. Author. Nick Paszty. Author. Jana Stoilova. Author. Joe Zhu. Author, maintainer. Davide Garolini. Author. Emily de la Rua. Author. Christopher DiPietrantonio. Author. Adrian Waddell. Author. F. Hoffmann-La Roche AG. Copyright holder, funder.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Rucki P, Paszty N, Stoilova J, Zhu J, Garolini D, de la Rua E, DiPietrantonio C, Waddell (2024). random.cdisc.data: Create Random ADaM Datasets. R package version 0.3.16, https://github.com/insightsengineering/random.cdisc.data/, https://insightsengineering.github.io/random.cdisc.data/v0.3.16/.","code":"@Manual{,   title = {random.cdisc.data: Create Random ADaM Datasets},   author = {Pawel Rucki and Nick Paszty and Jana Stoilova and Joe Zhu and Davide Garolini and Emily {de la Rua} and Christopher DiPietrantonio and Adrian Waddell},   year = {2024},   note = {R package version 0.3.16,     https://github.com/insightsengineering/random.cdisc.data/},   url = {https://insightsengineering.github.io/random.cdisc.data/v0.3.16/}, }"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/index.html","id":"randomcdiscdata","dir":"","previous_headings":"","what":"Create Random ADaM Datasets","title":"Create Random ADaM Datasets","text":"random.cdisc.data package creating random CDISC data. random datasets available create : radsl: Subject-Level Analysis Dataset (ADSL) radab: Anti-Drug Antibody Analysis Dataset (ADAB) radae: Adverse Event Analysis Dataset (ADAE) radaette: Time Adverse Event Analysis Dataset (ADAETTE) radcm: Previous Concomitant Medications Analysis Dataset (ADCM) raddv: Protocol Deviations Analysis Dataset (ADDV) radeg: ECG Analysis Dataset (ADEG) radex: Exposure Analysis Dataset (ADEX) radhy: Hys Law Analysis Dataset (ADHY) radlb: Laboratory Data Analysis Dataset (ADLB) radmh: Medical History Analysis Dataset (ADMH) radpc: Pharmacokinetics Analysis Dataset (ADPC) radpp: Pharmacokinetics Parameters Dataset (ADPP) radqlqc: EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) radqs: Questionnaires Analysis Dataset (ADQS) radrs: Response Analysis Dataset (ADRS) radsaftte: Time Safety Event Analysis Dataset (ADSAFTTE, wrapper radaette) radsub: Subcategory Analysis Dataset (ADSUB) radtr: Tumor Response Analysis Dataset (ADTR) radtte: Time--Event Dataset (ADTTE) radvs: Vital Signs Analysis Dataset (ADVS) Please note changes random data functions requires rebuild cached data. Please read “Rebuilding Random CDISC Cached Data” article.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Create Random ADaM Datasets","text":"Alternatively, might also use development version.","code":"install.packages(\"random.cdisc.data\") # install.packages(\"pak\") pak::pak(\"insightsengineering/random.cdisc.data\")"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/index.html","id":"acknowledgment","dir":"","previous_headings":"","what":"Acknowledgment","title":"Create Random ADaM Datasets","text":"package result joint efforts many developers stakeholders. like thank everyone contributed far!","code":""},{"path":[]},{"path":[]},{"path":[]},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/apply_metadata.html","id":null,"dir":"Reference","previous_headings":"","what":"Apply Metadata — apply_metadata","title":"Apply Metadata — apply_metadata","text":"Apply label variable ordering attributes domains.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/apply_metadata.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Apply Metadata — apply_metadata","text":"","code":"apply_metadata(   df,   filename,   add_adsl = TRUE,   adsl_filename = \"metadata/ADSL.yml\" )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/apply_metadata.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Apply Metadata — apply_metadata","text":"df (data.frame) Data frame metadata applied. filename (yaml) File containing domain metadata. add_adsl (logical) ADSL data merged domain. adsl_filename (yaml) File containing ADSL metadata.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/apply_metadata.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Apply Metadata — apply_metadata","text":"Data frame metadata applied.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/apply_metadata.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Apply Metadata — apply_metadata","text":"","code":"seed <- 1 adsl <- radsl(seed = seed) adsub <- radsub(adsl, seed = seed) yaml_path <- file.path(path.package(\"random.cdisc.data\"), \"inst\", \"metadata\") adsl <- apply_metadata(adsl, file.path(yaml_path, \"ADSL.yml\"), FALSE) adsub <- apply_metadata(   adsub, file.path(yaml_path, \"ADSUB.yml\"), TRUE,   file.path(yaml_path, \"ADSL.yml\") )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/argument_convention.html","id":null,"dir":"Reference","previous_headings":"","what":"Standard Arguments — argument_convention","title":"Standard Arguments — argument_convention","text":"documentation function lists arguments random.cdisc.data used repeatedly dataset creation.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/argument_convention.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Standard Arguments — argument_convention","text":"seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. adsl (data.frame) Subject-Level Analysis Dataset (ADSL). lookup (data.frame) Additional parameters. lookup_aag (data.frame) Additional metadata parameters. param (character vector) Parameter values. paramcd (character vector) Parameter code values. paramu (character vector) Parameter unit values. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). aval_mean (numeric vector) Mean values corresponding parameter.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadab.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADAB — cadab","title":"Cached ADAB — cadab","text":"Cached ADAB data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadab.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADAB — cadab","text":"","code":"data(cadab)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadab.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADAB — cadab","text":"object class tbl_df (inherits tbl, data.frame) 6916 rows 21 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadae.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADAE — cadae","title":"Cached ADAE — cadae","text":"Cached ADAE data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadae.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADAE — cadae","text":"","code":"data(cadae)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadae.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADAE — cadae","text":"object class tbl_df (inherits tbl, data.frame) 1934 rows 92 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadaette.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADAETTE — cadaette","title":"Cached ADAETTE — cadaette","text":"Cached ADAETTE data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadaette.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADAETTE — cadaette","text":"","code":"data(cadaette)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadaette.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADAETTE — cadaette","text":"object class tbl_df (inherits tbl, data.frame) 3600 rows 66 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadcm.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADCM — cadcm","title":"Cached ADCM — cadcm","text":"Cached ADCM data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadcm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADCM — cadcm","text":"","code":"data(cadcm)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadcm.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADCM — cadcm","text":"object class tbl_df (inherits tbl, data.frame) 3685 rows 83 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/caddv.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADDV — caddv","title":"Cached ADDV — caddv","text":"Cached ADDV data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/caddv.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADDV — caddv","text":"","code":"data(caddv)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/caddv.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADDV — caddv","text":"object class tbl_df (inherits tbl, data.frame) 119 rows 66 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadeg.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADEG — cadeg","title":"Cached ADEG — cadeg","text":"Cached ADEG data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadeg.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADEG — cadeg","text":"","code":"data(cadeg)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadeg.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADEG — cadeg","text":"object class tbl_df (inherits tbl, data.frame) 13600 rows 88 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadex.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADEX — cadex","title":"Cached ADEX — cadex","text":"Cached ADEX data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadex.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADEX — cadex","text":"","code":"data(cadex)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadex.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADEX — cadex","text":"object class tbl_df (inherits tbl, data.frame) 6400 rows 79 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadhy.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADHY — cadhy","title":"Cached ADHY — cadhy","text":"Cached ADHY data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadhy.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADHY — cadhy","text":"","code":"data(cadhy)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadhy.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADHY — cadhy","text":"object class tbl_df (inherits tbl, data.frame) 20000 rows 71 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadlb.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADLB — cadlb","title":"Cached ADLB — cadlb","text":"Cached ADLB data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadlb.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADLB — cadlb","text":"","code":"data(cadlb)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadlb.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADLB — cadlb","text":"object class tbl_df (inherits tbl, data.frame) 8400 rows 102 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadmh.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADMH — cadmh","title":"Cached ADMH — cadmh","text":"Cached ADMH data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadmh.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADMH — cadmh","text":"","code":"data(cadmh)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadmh.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADMH — cadmh","text":"object class tbl_df (inherits tbl, data.frame) 1934 rows 67 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadpc.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADPC — cadpc","title":"Cached ADPC — cadpc","text":"Cached ADPC data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadpc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADPC — cadpc","text":"","code":"data(cadpc)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadpc.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADPC — cadpc","text":"object class tbl_df (inherits tbl, data.frame) 6640 rows 72 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadpp.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADPP — cadpp","title":"Cached ADPP — cadpp","text":"Cached ADPP data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadpp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADPP — cadpp","text":"","code":"data(cadpp)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadpp.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADPP — cadpp","text":"object class data.frame 26268 rows 68 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadqlqc.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADQLQC — cadqlqc","title":"Cached ADQLQC — cadqlqc","text":"Cached ADQLQC data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadqlqc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADQLQC — cadqlqc","text":"","code":"data(cadqlqc)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadqlqc.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADQLQC — cadqlqc","text":"object class tbl_df (inherits tbl, data.frame) 116803 rows 50 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadqs.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADQS — cadqs","title":"Cached ADQS — cadqs","text":"Cached ADQS data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadqs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADQS — cadqs","text":"","code":"data(cadqs)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadqs.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADQS — cadqs","text":"object class tbl_df (inherits tbl, data.frame) 14000 rows 73 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadrs.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADRS — cadrs","title":"Cached ADRS — cadrs","text":"Cached ADRS data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadrs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADRS — cadrs","text":"","code":"data(cadrs)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadrs.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADRS — cadrs","text":"object class tbl_df (inherits tbl, data.frame) 3200 rows 65 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadsl.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADSL — cadsl","title":"Cached ADSL — cadsl","text":"Cached ADSL data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadsl.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADSL — cadsl","text":"","code":"data(cadsl)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadsl.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADSL — cadsl","text":"object class tbl_df (inherits tbl, data.frame) 400 rows 55 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadsub.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADSUB — cadsub","title":"Cached ADSUB — cadsub","text":"Cached ADSUB data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadsub.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADSUB — cadsub","text":"","code":"data(cadsub)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadsub.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADSUB — cadsub","text":"object class tbl_df (inherits tbl, data.frame) 2000 rows 65 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadtr.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADTR — cadtr","title":"Cached ADTR — cadtr","text":"Cached ADTR data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadtr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADTR — cadtr","text":"","code":"data(cadtr)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadtr.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADTR — cadtr","text":"object class data.frame 2800 rows 76 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadtte.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADTTE — cadtte","title":"Cached ADTTE — cadtte","text":"Cached ADTTE data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadtte.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADTTE — cadtte","text":"","code":"data(cadtte)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadtte.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADTTE — cadtte","text":"object class tbl_df (inherits tbl, data.frame) 2000 rows 67 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadvs.html","id":null,"dir":"Reference","previous_headings":"","what":"Cached ADVS — cadvs","title":"Cached ADVS — cadvs","text":"Cached ADVS data generated seed = 1","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadvs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cached ADVS — cadvs","text":"","code":"data(cadvs)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/cadvs.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"Cached ADVS — cadvs","text":"object class tbl_df (inherits tbl, data.frame) 16800 rows 87 columns.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/h_adqlqc.html","id":null,"dir":"Reference","previous_headings":"","what":"Helper Functions for Constructing ADQLQC — h_adqlqc","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"Internal functions used radqlqc.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/h_adqlqc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"","code":"get_qs_data(   adsl,   visit_format = \"CYCLE\",   n_assessments = 5L,   n_days = 1L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(QSORRES = c(1234, 0.2), QSSTRESC = c(1234, 0.2)) )  get_random_dates_between(from, to, visit_id)  prep_adqlqc(df)  calc_scales(adqlqc1)  derv_chgcat1(dataset)  comp_derv(dataset, percent, number)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/h_adqlqc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. (datetime vector) Start date/times. (datetime vector) End date/times. visit_id (vector) Visit identifiers. df (data.frame) SDTM QS dataset. adqlqc1 (data.frame) Prepared data generated prep_adqlqc() function. dataset (data.frame) Dataset. percent (numeric) Completion - Completed least y percent questions, 1 record per visit number (numeric) Completion - Completed least x question(s), 1 record per visit","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/h_adqlqc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"dataframe SDTM questionnaire data Data frame new randomly generated dates variable. data.frame data.frame data.frame data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/h_adqlqc.html","id":"functions","dir":"Reference","previous_headings":"","what":"Functions","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"get_qs_data(): Questionnaires EORTC QLQ-C30 V3.0 SDTM (QS) Function generating random Questionnaires SDTM domain get_random_dates_between(): Function generating random dates 2 dates prep_adqlqc(): Prepare ADaM ADQLQC data, adding PARAMCD SDTM QS data calc_scales(): Scale calculation ADQLQC data derv_chgcat1(): Calculate Change Baseline Category 1 comp_derv(): Completion/Compliance Data Calculation","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/h_adqlqc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Helper Functions for Constructing ADQLQC — h_adqlqc","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1) adqlqc <- radqlqc(adsl, seed = 1, percent = 80, number = 2)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/h_anthropometrics_by_sex.html","id":null,"dir":"Reference","previous_headings":"","what":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","title":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","text":"Anthropometric measurements randomly generated using normal approximation. default mean standard deviation values used based US National Health Statistics adults aged 20 years . measurements generated units provided function.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/h_anthropometrics_by_sex.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","text":"","code":"h_anthropometrics_by_sex(   df,   seed = 1,   id_var = \"USUBJID\",   sex_var = \"SEX\",   sex_var_level_male = \"M\",   male_weight_in_kg = list(mean = 90.6, sd = 44.9),   female_weight_in_kg = list(mean = 77.5, sd = 46.2),   male_height_in_m = list(mean = 1.75, sd = 0.14),   female_height_in_m = list(mean = 1.61, sd = 0.24) )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/h_anthropometrics_by_sex.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","text":"df (data.frame) Analysis dataset. seed (numeric) Seed use reproducible random number generation. id_var (character) Patient identifier variable name. sex_var (character) Name variable representing sex patient. sex_var_level_male (character) Level sex_var representing males. male_weight_in_kg (named list) List means SDs male weights kilograms. female_weight_in_kg (named list) List means SDs female weights kilograms. male_height_in_m (named list) List means SDs male heights metres. female_height_in_m (named list) list means SDs female heights metres.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/h_anthropometrics_by_sex.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","text":"dataframe anthropometric measurements subject analysis dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/h_anthropometrics_by_sex.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Generate Anthropometric Measurements for Males and Females. — h_anthropometrics_by_sex","text":"One record per subject.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/mutate_na.html","id":null,"dir":"Reference","previous_headings":"","what":"Replace Values with NA — mutate_na","title":"Replace Values with NA — mutate_na","text":"Replace column values NAs.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/mutate_na.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Replace Values with NA — mutate_na","text":"","code":"mutate_na(ds, na_vars = NULL, na_percentage = 0.05)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/mutate_na.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Replace Values with NA — mutate_na","text":"ds (data.frame) data set. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. na_percentage (proportion) Default percentage values replaced NA.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/mutate_na.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Replace Values with NA — mutate_na","text":"dataframe without NA values.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radab.html","id":null,"dir":"Reference","previous_headings":"","what":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"Function generating random Anti-Drug Antibody Analysis Dataset given Subject-Level Analysis Dataset Pharmacokinetics Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radab.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"","code":"radab(   adsl,   adpc,   constants = c(D = 100, ka = 0.8, ke = 1),   paramcd = c(\"R1800000\", \"RESULT1\", \"R1800001\", \"RESULT2\", \"ADASTAT1\", \"INDUCD1\",     \"ENHANC1\", \"TRUNAFF1\", \"EMERNEG1\", \"EMERPOS1\", \"PERSADA1\", \"TRANADA1\", \"BFLAG1\",     \"TIMADA1\", \"ADADUR1\", \"ADASTAT2\", \"INDUCD2\", \"ENHANC2\", \"EMERNEG2\", \"EMERPOS2\",     \"BFLAG2\", \"TRUNAFF2\"),   param = c(\"Antibody titer units\", \"ADA interpreted per sample result\",     \"Neutralizing Antibody titer units\", \"NAB interpreted per sample result\",     \"ADA Status of a patient\", \"Treatment induced ADA\", \"Treatment enhanced ADA\",     \"Treatment unaffected\", \"Treatment Emergent - Negative\",     \"Treatment Emergent - Positive\", \"Persistent ADA\", \"Transient ADA\", \"Baseline\",     \"Time to onset of ADA\", \"ADA Duration\", \"NAB Status of a patient\",     \"Treatment induced ADA, Neutralizing Antibody\",     \"Treatment enhanced ADA, Neutralizing Antibody\",           \"Treatment Emergent - Negative, Neutralizing Antibody\",     \"Treatment Emergent - Positive, Neutralizing Antibody\",     \"Baseline, Neutralizing Antibody\", \"Treatment unaffected, Neutralizing Antibody\"),   avalu = c(\"titer\", \"\", \"titer\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"weeks\",     \"weeks\", \"\", \"\", \"\", \"\", \"\", \"\", \"\"),   seed = NULL,   na_percentage = 0,   na_vars = list(AVAL = c(NA, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radab.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). adpc (data.frame) Pharmacokinetics Analysis Dataset. constants (character vector) Constant parameters used formulas creating analysis values. paramcd (character vector) Parameter code values. param (character vector) Parameter values. avalu (character) Analysis value units. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADAB data cadab returned new data generated. set TRUE arguments radab ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radab.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radab.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"One record per study per subject per parameter per time point: \"R1800000\", \"RESULT1\", \"R1800001\", \"RESULT2\".","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radab.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Anti-Drug Antibody Analysis Dataset (ADAB) — radab","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2) adpc <- radpc(adsl, seed = 2, duration = 9 * 7)  adab <- radab(adsl, adpc, seed = 2) adab #> # A tibble: 208 × 21 #>    STUDYID USUBJID      ARM   ACTARM ISTPT  AVAL AVALC AVALU PARAM PARAMCD VISIT #>    <chr>   <chr>        <fct> <fct>  <fct> <dbl> <chr> <fct> <fct> <fct>   <fct> #>  1 AB12345 AB12345-JPN… A: D… A: Dr… Pred…  1.04 POSI… titer Anti… R18000… Day 1 #>  2 AB12345 AB12345-USA… A: D… A: Dr… Pred…  1.32 POSI… titer Anti… R18000… Day 1 #>  3 AB12345 AB12345-BRA… A: D… A: Dr… Pred… NA    NEGA… titer Anti… R18000… Day 1 #>  4 AB12345 AB12345-CHN… A: D… A: Dr… Pred… NA    NEGA… titer Anti… R18000… Day 1 #>  5 AB12345 AB12345-CHN… C: C… C: Co… Pred…  1.03 POSI… titer Anti… R18000… Day 1 #>  6 AB12345 AB12345-CHN… A: D… A: Dr… Pred…  1.14 POSI… titer Anti… R18000… Day 1 #>  7 AB12345 AB12345-RUS… A: D… A: Dr… Pred…  1.40 POSI… titer Anti… R18000… Day 1 #>  8 AB12345 AB12345-BRA… C: C… C: Co… Pred… NA    NEGA… titer Anti… R18000… Day 1 #>  9 AB12345 AB12345-JPN… A: D… A: Dr… 24H    1.20 POSI… titer Anti… R18000… Day 2 #> 10 AB12345 AB12345-USA… A: D… A: Dr… 24H   NA    NEGA… titer Anti… R18000… Day 2 #> # ℹ 198 more rows #> # ℹ 10 more variables: VISITDY <int>, PARCAT1 <fct>, ADABLPFL <fct>, #> #   ADPBLPFL <fct>, ABLFL <fct>, RELTMU <fct>, NFRLT <dbl>, AFRLT <dbl>, #> #   NRRLT <dbl>, ARRLT <dbl>"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radae.html","id":null,"dir":"Reference","previous_headings":"","what":"Adverse Event Analysis Dataset (ADAE) — radae","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"Function generating random Adverse Event Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radae.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"","code":"radae(   adsl,   max_n_aes = 10L,   lookup = NULL,   lookup_aag = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(AEBODSYS = c(NA, 0.1), AEDECOD = c(1234, 0.1), AETOXGR = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radae.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). max_n_aes (integer) Maximum number AEs per patient. Defaults 10. lookup (data.frame) Additional parameters. lookup_aag (data.frame) Additional metadata parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADAE data cadae returned new data generated. set TRUE arguments radae ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radae.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radae.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"One record per record corresponding SDTM domain. Keys: STUDYID, USUBJID, ASTDTM, AETERM, AESEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radae.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Adverse Event Analysis Dataset (ADAE) — radae","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1)  adae <- radae(adsl, seed = 2) adae #> # A tibble: 51 × 92 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  8 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 41 more rows #> # ℹ 81 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  # Add metadata. aag <- utils::read.table(   sep = \",\", header = TRUE,   text = paste(     \"NAMVAR,SRCVAR,GRPTYPE,REFNAME,REFTERM,SCOPE\",     \"CQ01NAM,AEDECOD,CUSTOM,D.2.1.5.3/A.1.1.1.1 AESI,dcd D.2.1.5.3,\",     \"CQ01NAM,AEDECOD,CUSTOM,D.2.1.5.3/A.1.1.1.1 AESI,dcd A.1.1.1.1,\",     \"SMQ01NAM,AEDECOD,SMQ,C.1.1.1.3/B.2.2.3.1 AESI,dcd C.1.1.1.3,BROAD\",     \"SMQ01NAM,AEDECOD,SMQ,C.1.1.1.3/B.2.2.3.1 AESI,dcd B.2.2.3.1,BROAD\",     \"SMQ02NAM,AEDECOD,SMQ,Y.9.9.9.9/Z.9.9.9.9 AESI,dcd Y.9.9.9.9,NARROW\",     \"SMQ02NAM,AEDECOD,SMQ,Y.9.9.9.9/Z.9.9.9.9 AESI,dcd Z.9.9.9.9,NARROW\",     sep = \"\\n\"   ), stringsAsFactors = FALSE )  adae <- radae(adsl, lookup_aag = aag)  with(   adae,   cbind(     table(AEDECOD, SMQ01NAM),     table(AEDECOD, CQ01NAM)   ) ) #>               C.1.1.1.3/B.2.2.3.1 AESI D.2.1.5.3/A.1.1.1.1 AESI #> dcd A.1.1.1.1                        0                        9 #> dcd A.1.1.1.2                        0                        0 #> dcd B.1.1.1.1                        0                        0 #> dcd B.2.1.2.1                        0                        0 #> dcd B.2.2.3.1                       11                        0 #> dcd C.1.1.1.3                       10                        0 #> dcd C.2.1.2.1                        0                        0 #> dcd D.1.1.1.1                        0                        0 #> dcd D.1.1.4.2                        0                        0 #> dcd D.2.1.5.3                        0                        6"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radaette.html","id":null,"dir":"Reference","previous_headings":"","what":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"Function generate random Time--AE Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radaette.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"","code":"radaette(   adsl,   event_descr = NULL,   censor_descr = NULL,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(CNSR = c(NA, 0.1), AVAL = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radaette.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). event_descr (character vector) Descriptions events. Defaults NULL. censor_descr (character vector) Descriptions censors. Defaults NULL. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADAETTE data cadaette returned new data generated. set TRUE arguments radaette ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radaette.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radaette.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"Keys: STUDYID, USUBJID, PARAMCD","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radaette.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"Xiuting Mi","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radaette.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Time to Adverse Event Analysis Dataset (ADAETTE) — radaette","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adaette <- radaette(adsl, seed = 2) adaette #> # A tibble: 90 × 66 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 80 more rows #> # ℹ 55 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radcm.html","id":null,"dir":"Reference","previous_headings":"","what":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"Function generating random Concomitant Medication Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radcm.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"","code":"radcm(   adsl,   max_n_cms = 10L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(CMCLAS = c(NA, 0.1), CMDECOD = c(1234, 0.1), ATIREL = c(1234, 0.1)),   who_coding = FALSE,   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radcm.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). max_n_cms (integer) Maximum number concomitant medications per patient. Defaults 10. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. who_coding (flag) Whether coding (multiple paths per medication) used. cached boolean whether cached ADCM data cadcm returned new data generated. set TRUE arguments radcm ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radcm.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radcm.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"One record per record corresponding SDTM domain. Keys: STUDYID, USUBJID, ASTDTM, CMSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radcm.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Previous and Concomitant Medications Analysis Dataset (ADCM) — radcm","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adcm <- radcm(adsl, seed = 2) adcm #> # A tibble: 50 × 83 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  2 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  3 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  4 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  5 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  8 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  9 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #> 10 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #> # ℹ 40 more rows #> # ℹ 72 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  adcm_who <- radcm(adsl, seed = 2, who_coding = TRUE) adcm_who #> # A tibble: 102 × 83 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  2 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  3 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  4 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  5 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  8 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  9 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #> 10 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #> # ℹ 92 more rows #> # ℹ 72 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/raddv.html","id":null,"dir":"Reference","previous_headings":"","what":"Protocol Deviations Analysis Dataset (ADDV) — raddv","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"Function generating random Protocol Deviations Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/raddv.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"","code":"raddv(   adsl,   max_n_dv = 3L,   p_dv = 0.15,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(ASTDT = c(seed = 1234, percentage = 0.1), DVCAT = c(seed = 1234,     percentage = 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/raddv.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). max_n_dv (integer) Maximum number deviations per patient. Defaults 3. p_dv (proportion) Probability patient protocol deviations. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADDV data caddv returned new data generated. set TRUE arguments raddv ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/raddv.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/raddv.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"One record per record corresponding SDTM domain. Keys: STUDYID, USUBJID, ASTDT, DVTERM, DVSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/raddv.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Protocol Deviations Analysis Dataset (ADDV) — raddv","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  addv <- raddv(adsl, seed = 2) addv #> # A tibble: 9 × 66 #>   STUDYID USUBJID     SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>   <chr>   <chr>       <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #> 1 AB12345 AB12345-BR… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 2 AB12345 AB12345-BR… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 3 AB12345 AB12345-BR… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 4 AB12345 AB12345-CH… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #> 5 AB12345 AB12345-CH… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #> 6 AB12345 AB12345-CH… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #> 7 AB12345 AB12345-US… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #> 8 AB12345 AB12345-US… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #> 9 AB12345 AB12345-US… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #> # ℹ 55 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, #> #   AP01SDTM <dttm>, AP01EDTM <dttm>, AP02SDTM <dttm>, AP02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radeg.html","id":null,"dir":"Reference","previous_headings":"","what":"ECG Analysis Dataset (ADEG) — radeg","title":"ECG Analysis Dataset (ADEG) — radeg","text":"Function generating random dataset ECG Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radeg.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"ECG Analysis Dataset (ADEG) — radeg","text":"","code":"radeg(   adsl,   egcat = c(\"INTERVAL\", \"INTERVAL\", \"MEASUREMENT\", \"FINDING\"),   param = c(\"QT Duration\", \"RR Duration\", \"Heart Rate\", \"ECG Interpretation\"),   paramcd = c(\"QT\", \"RR\", \"HR\", \"ECGINTP\"),   paramu = c(\"msec\", \"msec\", \"beats/min\", \"\"),   visit_format = \"WEEK\",   n_assessments = 5L,   n_days = 5L,   max_n_eg = 10L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(ABLFL = c(1235, 0.1), BASE = c(NA, 0.1), BASEC = c(NA, 0.1), CHG =     c(1234, 0.1), PCHG = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radeg.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"ECG Analysis Dataset (ADEG) — radeg","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). egcat (character vector) EG category values. param (character vector) Parameter values. paramcd (character vector) Parameter code values. paramu (character vector) Parameter unit values. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). max_n_eg (integer) Maximum number EG results per patient. Defaults 10. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADEG data cadeg returned new data generated. set TRUE arguments radeg ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radeg.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"ECG Analysis Dataset (ADEG) — radeg","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radeg.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"ECG Analysis Dataset (ADEG) — radeg","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, BASETYPE, AVISITN, ATPTN, DTYPE, ADTM, EGSEQ, ASPID","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radeg.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"ECG Analysis Dataset (ADEG) — radeg","text":"tomlinsj, npaszty, Xuefeng Hou, dipietrc","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radeg.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"ECG Analysis Dataset (ADEG) — radeg","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adeg <- radeg(adsl, visit_format = \"WEEK\", n_assessments = 7L, seed = 2) adeg #> # A tibble: 420 × 88 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 410 more rows #> # ℹ 77 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  adeg <- radeg(adsl, visit_format = \"CYCLE\", n_assessments = 2L, seed = 2) adeg #> # A tibble: 500 × 88 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 490 more rows #> # ℹ 77 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radex.html","id":null,"dir":"Reference","previous_headings":"","what":"Exposure Analysis Dataset (ADEX) — radex","title":"Exposure Analysis Dataset (ADEX) — radex","text":"Function generating random Exposure Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radex.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Exposure Analysis Dataset (ADEX) — radex","text":"","code":"radex(   adsl,   param = c(\"Dose administered during constant dosing interval\",     \"Number of doses administered during constant dosing interval\",     \"Total dose administered\", \"Total number of doses administered\"),   paramcd = c(\"DOSE\", \"NDOSE\", \"TDOSE\", \"TNDOSE\"),   paramu = c(\"mg\", \" \", \"mg\", \" \"),   parcat1 = c(\"INDIVIDUAL\", \"OVERALL\"),   parcat2 = c(\"Drug A\", \"Drug B\"),   visit_format = \"WEEK\",   n_assessments = 5L,   n_days = 5L,   max_n_exs = 6L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(AVAL = c(NA, 0.1), AVALU = c(NA), 0.1),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radex.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Exposure Analysis Dataset (ADEX) — radex","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. paramu (character vector) Parameter unit values. parcat1 (character vector) Dose amount categories. Defaults \"Individual\" \"Overall\". parcat2 (character vector) Types drug received. Defaults \"Drug \" \"Drug B\". visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). max_n_exs (integer) Maximum number exposures per patient. Defaults 6. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADEX data cadex returned new data generated. set TRUE arguments radex ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radex.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Exposure Analysis Dataset (ADEX) — radex","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radex.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Exposure Analysis Dataset (ADEX) — radex","text":"One record per record corresponding SDTM domain. Keys: STUDYID, USUBJID, EXSEQ, PARAMCD, PARCAT1, ASTDTM, AENDTM, ASTDY, AENDY, AVISITN, EXDOSFRQ, EXROUTE, VISIT, VISITDY, EXSTDTC, EXENDTC, EXSTDY, EXENDY","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radex.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Exposure Analysis Dataset (ADEX) — radex","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1)  adex <- radex(adsl, seed = 2) adex #> # A tibble: 160 × 79 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 150 more rows #> # ℹ 68 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radhy.html","id":null,"dir":"Reference","previous_headings":"","what":"Hy's Law Analysis Dataset (ADHY) — radhy","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"Function generating random Hy's Law Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radhy.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"","code":"radhy(   adsl,   param = c(\"TBILI <= 2 times ULN and ALT value category\",     \"TBILI > 2 times ULN and AST value category\",     \"TBILI > 2 times ULN and ALT value category\",     \"TBILI <= 2 times ULN and AST value category\",     \"TBILI > 2 times ULN and ALKPH <= 2 times ULN and ALT value category\",     \"TBILI > 2 times ULN and ALKPH <= 2 times ULN and AST value category\",     \"TBILI > 2 times ULN and ALKPH <= 5 times ULN and ALT value category\",     \"TBILI > 2 times ULN and ALKPH <= 5 times ULN and AST value category\",     \"TBILI <= 2 times ULN and two consecutive elevations of ALT in relation to ULN\",           \"TBILI > 2 times ULN and two consecutive elevations of AST in relation to ULN\",     \"TBILI <= 2 times ULN and two consecutive elevations of AST in relation to ULN\",     \"TBILI > 2 times ULN and two consecutive elevations of ALT in relation to ULN\",     \"TBILI > 2 times ULN and two consecutive elevations of ALT in relation to Baseline\",     \"TBILI <= 2 times ULN and two consecutive elevations of ALT in relation to Baseline\",     \"TBILI > 2 times ULN and two consecutive elevations of AST in relation to Baseline\",               \"TBILI <= 2 times ULN and two consecutive elevations of AST in relation to Baseline\",     \"ALT > 3 times ULN by Period\", \"AST > 3 times ULN by Period\",     \"ALT or AST > 3 times ULN by Period\", \"ALT > 3 times Baseline by Period\",     \"AST > 3 times Baseline by Period\", \"ALT or AST > 3 times Baseline by Period\"),   paramcd = c(\"BLAL\", \"BGAS\", \"BGAL\", \"BLAS\", \"BA2AL\", \"BA2AS\", \"BA5AL\", \"BA5AS\",     \"BL2AL2CU\", \"BG2AS2CU\", \"BL2AS2CU\", \"BG2AL2CU\", \"BG2AL2CB\", \"BL2AL2CB\", \"BG2AS2CB\",     \"BL2AS2CB\", \"ALTPULN\", \"ASTPULN\", \"ALTASTPU\", \"ALTPBASE\", \"ASTPBASE\", \"ALTASTPB\"),   seed = NULL,   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radhy.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. seed (numeric) Seed use reproducible random number generation. cached boolean whether cached ADHY data cadhy returned new data generated. set TRUE arguments radhy ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radhy.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radhy.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, AVISITN, ADTM, SRCSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radhy.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"wojciakw","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radhy.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Hy's Law Analysis Dataset (ADHY) — radhy","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adhy <- radhy(adsl, seed = 2) adhy #> # A tibble: 500 × 71 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 490 more rows #> # ℹ 60 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radlb.html","id":null,"dir":"Reference","previous_headings":"","what":"Laboratory Data Analysis Dataset (ADLB) — radlb","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"Function generating random Laboratory Data Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radlb.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"","code":"radlb(   adsl,   lbcat = c(\"CHEMISTRY\", \"CHEMISTRY\", \"IMMUNOLOGY\"),   param = c(\"Alanine Aminotransferase Measurement\", \"C-Reactive Protein Measurement\",     \"Immunoglobulin A Measurement\"),   paramcd = c(\"ALT\", \"CRP\", \"IGA\"),   paramu = c(\"U/L\", \"mg/L\", \"g/L\"),   aval_mean = c(18, 9, 2.9),   visit_format = \"WEEK\",   n_assessments = 5L,   n_days = 5L,   max_n_lbs = 10L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(LOQFL = c(NA, 0.1), ABLFL2 = c(1234, 0.1), ABLFL = c(1235, 0.1), BASE2 =     c(NA, 0.1), BASE = c(NA, 0.1), CHG2 = c(1235, 0.1), PCHG2 = c(1235, 0.1), CHG =     c(1234, 0.1), PCHG = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radlb.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). lbcat (character vector) LB category values. param (character vector) Parameter values. paramcd (character vector) Parameter code values. paramu (character vector) Parameter unit values. aval_mean (numeric vector) Mean values corresponding parameter. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). max_n_lbs (integer) Maximum number labs per patient. Defaults 10. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADLB data cadlb returned new data generated. set TRUE arguments radlb ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radlb.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radlb.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, BASETYPE, AVISITN, ATPTN, DTYPE, ADTM, LBSEQ, ASPID","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radlb.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"tomlinsj, npaszty, Xuefeng Hou","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radlb.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Laboratory Data Analysis Dataset (ADLB) — radlb","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adlb <- radlb(adsl, visit_format = \"WEEK\", n_assessments = 7L, seed = 2) adlb #> # A tibble: 270 × 102 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 260 more rows #> # ℹ 91 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  adlb <- radlb(adsl, visit_format = \"CYCLE\", n_assessments = 2L, seed = 2) adlb #> # A tibble: 330 × 102 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 320 more rows #> # ℹ 91 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radmh.html","id":null,"dir":"Reference","previous_headings":"","what":"Medical History Analysis Dataset (ADMH) — radmh","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"Function generating random Medical History Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radmh.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"","code":"radmh(   adsl,   max_n_mhs = 10L,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(MHBODSYS = c(NA, 0.1), MHDECOD = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radmh.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). max_n_mhs (integer) Maximum number MHs per patient. Defaults 10. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADMH data cadmh returned new data generated. set TRUE arguments radmh ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radmh.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radmh.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"One record per record corresponding SDTM domain. Keys: STUDYID, USUBJID, ASTDTM, MHSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radmh.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Medical History Analysis Dataset (ADMH) — radmh","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1)  admh <- radmh(adsl, seed = 2) admh #> # A tibble: 51 × 67 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  8 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 41 more rows #> # ℹ 56 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radpc.html","id":null,"dir":"Reference","previous_headings":"","what":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"Function generating random Pharmacokinetics Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radpc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"","code":"radpc(   adsl,   avalu = \"ug/mL\",   constants = c(D = 100, ka = 0.8, ke = 1),   duration = 2,   seed = NULL,   na_percentage = 0,   na_vars = list(AVAL = c(NA, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radpc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). avalu (character) Analysis value units. constants (character vector) Constant parameters used formulas creating analysis values. duration (numeric) Duration number days. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADPC data cadpc returned new data generated. set TRUE arguments radpc ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radpc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radpc.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"One record per study, subject, parameter, time point.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radpc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Pharmacokinetics Analysis Dataset (ADPC) — radpc","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adpc <- radpc(adsl, seed = 2) adpc #> # A tibble: 180 × 72 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 170 more rows #> # ℹ 61 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  adpc <- radpc(adsl, seed = 2, duration = 3) adpc #> # A tibble: 206 × 72 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 196 more rows #> # ℹ 61 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radpp.html","id":null,"dir":"Reference","previous_headings":"","what":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"Function generating random Pharmacokinetics Parameters Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radpp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"","code":"radpp(   adsl,   ppcat = c(\"Plasma Drug X\", \"Plasma Drug Y\", \"Metabolite Drug X\", \"Metabolite Drug Y\"),   ppspec = c(\"Plasma\", \"Plasma\", \"Plasma\", \"Matrix of PD\", \"Matrix of PD\", \"Urine\",     \"Urine\", \"Urine\", \"Urine\"),   paramcd = c(\"AUCIFO\", \"CMAX\", \"CLO\", \"RMAX\", \"TON\", \"RENALCL\", \"RENALCLD\", \"RCAMINT\",     \"RCPCINT\"),   param = c(\"AUC Infinity Obs\", \"Max Conc\", \"Total CL Obs\", \"Time of Maximum Response\",     \"Time to Onset\", \"Renal CL\", \"Renal CL Norm by Dose\", \"Amt Rec from T1 to T2\",     \"Pct Rec from T1 to T2\"),   paramu = c(\"day*ug/mL\", \"ug/mL\", \"ml/day/kg\", \"hr\", \"hr\", \"L/hr\", \"L/hr/mg\", \"mg\",     \"%\"),   aval_mean = c(200, 30, 5, 10, 3, 0.05, 0.005, 1.5613, 15.65),   visit_format = \"CYCLE\",   n_days = 2L,   seed = NULL,   na_percentage = 0,   na_vars = list(AVAL = c(NA, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radpp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). ppcat (character vector) Categories parameters. ppspec (character vector) Specimen material types. paramcd (character vector) Parameter code values. param (character vector) Parameter values. paramu (character vector) Parameter unit values. aval_mean (numeric vector) Mean values corresponding parameter. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_days (integer) Number days cycle (used visit_format \"CYCLE\"). seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADPP data cadpp returned new data generated. set TRUE arguments radpp ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radpp.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radpp.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"One record per study, subject, parameter category, parameter visit.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radpp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Pharmacokinetics Parameters Dataset (ADPP) — radpp","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adpp <- radpp(adsl, seed = 2) adpp #>     STUDYID             USUBJID SUBJID SITEID AGE  AGEU SEX #> 1   AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 2   AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 3   AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 4   AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 5   AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 6   AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 7   AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 8   AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 9   AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 10  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 11  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 12  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 13  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 14  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 15  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 16  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 17  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 18  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 19  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 20  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 21  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 22  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 23  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 24  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 25  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 26  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 27  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 28  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 29  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 30  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 31  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 32  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 33  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 34  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 35  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 36  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 37  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 38  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 39  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 40  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 41  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 42  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 43  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 44  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 45  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 46  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 47  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 48  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 49  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 50  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 51  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 52  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 53  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 54  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 55  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 56  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 57  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 58  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 59  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 60  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 61  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 62  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 63  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 64  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 65  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 66  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 67  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 68  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 69  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 70  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 71  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 72  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 73  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 74  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 75  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 76  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 77  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 78  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 79  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 80  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 81  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 82  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 83  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 84  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 85  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 86  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 87  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 88  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 89  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 90  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 91  AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 92  AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 93  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 94  AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 95  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 96  AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 97  AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 98  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 99  AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 100 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 101 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 102 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 103 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 104 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 105 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 106 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 107 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 108 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 109 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 110 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 111 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 112 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 113 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 114 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 115 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 116 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 117 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 118 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 119 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 120 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 121 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 122 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 123 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 124 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 125 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 126 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 127 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 128 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 129 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 130 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 131 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 132 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 133 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 134 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 135 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 136 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 137 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 138 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 139 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 140 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 141 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 142 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 143 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 144 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 145 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 146 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 147 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 148 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 149 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 150 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 151 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 152 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 153 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 154 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 155 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 156 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 157 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 158 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 159 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 160 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 161 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 162 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 163 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 164 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 165 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 166 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 167 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 168 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 169 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 170 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 171 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 172 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 173 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 174 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 175 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 176 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 177 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 178 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 179 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 180 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 181 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 182 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 183 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 184 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 185 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 186 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 187 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 188 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 189 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 190 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 191 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 192 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 193 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 194 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 195 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 196 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 197 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 198 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 199 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 200 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 201 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 202 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 203 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 204 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 205 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 206 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 207 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 208 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 209 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 210 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 211 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 212 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 213 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 214 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 215 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 216 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 217 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 218 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 219 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 220 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 221 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 222 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 223 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 224 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 225 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 226 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 227 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 228 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 229 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 230 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 231 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 232 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 233 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 234 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 235 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 236 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 237 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 238 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 239 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 240 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 241 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 242 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 243 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 244 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 245 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 246 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 247 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 248 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 249 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 250 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 251 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 252 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 253 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 254 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 255 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 256 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 257 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 258 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 259 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 260 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 261 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 262 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 263 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 264 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 265 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 266 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 267 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 268 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 269 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 270 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 271 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 272 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 273 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 274 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 275 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 276 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 277 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 278 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 279 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 280 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 281 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 282 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 283 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 284 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 285 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 286 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 287 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 288 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 289 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 290 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 291 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 292 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 293 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 294 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 295 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 296 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 297 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 298 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 299 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 300 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 301 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 302 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 303 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 304 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 305 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 306 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 307 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 308 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 309 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 310 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 311 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 312 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 313 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 314 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 315 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 316 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 317 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 318 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 319 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 320 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 321 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 322 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 323 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 324 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 325 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 326 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 327 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 328 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 329 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 330 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 331 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 332 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 333 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 334 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 335 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 336 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 337 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 338 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 339 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 340 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 341 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 342 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 343 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 344 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 345 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 346 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 347 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 348 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 349 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 350 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 351 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 352 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 353 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 354 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 355 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 356 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 357 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 358 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 359 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 360 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 361 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 362 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 363 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 364 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 365 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 366 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 367 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 368 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 369 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 370 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 371 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 372 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 373 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 374 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 375 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 376 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 377 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 378 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 379 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 380 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 381 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 382 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 383 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 384 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 385 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 386 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 387 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 388 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 389 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 390 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 391 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 392 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 393 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 394 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 395 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 396 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 397 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 398 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 399 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 400 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 401 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 402 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 403 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 404 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 405 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 406 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 407 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 408 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 409 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 410 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 411 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 412 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 413 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 414 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 415 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 416 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 417 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 418 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 419 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 420 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 421 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 422 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 423 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 424 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 425 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 426 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 427 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 428 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 429 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 430 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 431 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 432 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 433 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 434 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 435 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 436 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 437 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 438 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 439 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 440 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 441 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 442 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 443 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 444 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 445 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 446 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 447 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 448 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 449 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 450 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 451 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 452 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 453 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 454 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 455 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 456 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 457 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 458 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 459 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 460 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 461 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 462 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 463 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 464 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 465 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 466 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 467 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 468 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 469 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 470 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 471 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 472 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 473 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 474 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 475 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 476 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 477 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 478 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 479 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 480 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 481 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 482 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 483 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 484 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 485 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 486 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 487 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 488 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 489 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 490 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 491 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 492 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 493 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 494 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 495 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 496 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 497 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 498 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 499 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 500 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 501 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 502 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 503 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 504 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 505 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 506 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 507 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 508 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 509 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 510 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 511 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 512 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 513 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 514 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 515 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 516 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 517 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 518 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 519 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 520 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 521 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 522 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 523 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 524 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 525 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 526 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 527 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 528 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 529 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 530 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 531 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 532 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 533 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 534 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 535 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 536 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 537 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 538 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 539 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 540 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 541 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 542 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 543 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 544 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 545 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 546 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 547 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 548 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 549 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 550 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 551 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 552 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 553 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 554 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 555 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 556 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 557 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 558 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 559 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 560 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 561 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 562 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 563 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 564 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 565 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 566 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 567 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 568 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 569 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 570 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 571 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 572 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 573 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 574 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 575 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 576 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 577 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 578 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 579 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 580 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 581 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 582 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 583 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 584 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 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AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 633 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 634 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 635 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 636 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 637 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 638 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 639 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 640 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 641 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 642 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 643 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 644 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 645 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 646 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 647 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 648 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 649 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 650 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 651 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 652 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 653 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 654 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 655 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 656 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 657 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 658 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 659 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 660 AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #>                                 RACE                 ETHNIC COUNTRY DTHFL #> 1                              ASIAN NOT HISPANIC OR LATINO     JPN     N #> 2   AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 3                              ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 4          BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 5                              WHITE NOT HISPANIC OR LATINO     CHN     Y #> 6                              ASIAN NOT HISPANIC OR LATINO     CHN     N #> 7                              ASIAN NOT HISPANIC OR LATINO     RUS     N #> 8          BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 9                              WHITE NOT HISPANIC OR LATINO     CHN     Y #> 10         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 11                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 12  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 13                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 14         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 15                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 16                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 17                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 18         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 19                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 20         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 21                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 22  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 23                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 24         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 25                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 26                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 27                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 28         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 29                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 30         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 31                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 32  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 33                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 34         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 35                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 36                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 37                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 38         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 39                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 40         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 41                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 42  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 43                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 44         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 45                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 46                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 47                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 48         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 49                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 50         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 51                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 52  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 53                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 54         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 55                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 56                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 57                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 58         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 59                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 60         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 61                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 62  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 63                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 64         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 65                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 66                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 67                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 68         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 69                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 70         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 71                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 72  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 73                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 74         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 75                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 76                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 77                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 78         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 79                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 80         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 81                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 82  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 83                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 84         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 85                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 86                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 87                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 88         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 89                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 90         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 91                             ASIAN NOT HISPANIC OR LATINO     JPN     N #> 92  AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 93                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 94         BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 95                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 96                             ASIAN NOT HISPANIC OR LATINO     CHN     N #> 97                             ASIAN NOT HISPANIC OR LATINO     RUS     N #> 98         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 99                             WHITE NOT HISPANIC OR LATINO     CHN     Y #> 100        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 101                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 102 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 103                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 104        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 105                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 106                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 107                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 108        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 109                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 110        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 111                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 112 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 113                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 114        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 115                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 116                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 117                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 118        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 119                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 120        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 121                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 122 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 123                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 124        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 125                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 126                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 127                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 128        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 129                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 130        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 131                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 132 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 133                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 134        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 135                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 136                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 137                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 138        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 139                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 140        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 141                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 142                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 143 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 144 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 145                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 146                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 147        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 148        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 149                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 150                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 151                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 152                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 153                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 154                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 155        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 156        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 157                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 158                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 159        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 160        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 161                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 162                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 163 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 164 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 165                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 166                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 167        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 168        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 169                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 170                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 171                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 172                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 173                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 174                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 175        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 176        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 177                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 178                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 179        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 180        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 181                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 182                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 183 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 184 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 185                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 186                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 187        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 188        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 189                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 190                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 191                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 192                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 193                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 194                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 195        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 196        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 197                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 198                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 199        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 200        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 201                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 202                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 203 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 204 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 205                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 206                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 207        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 208        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 209                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 210                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 211                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 212                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 213                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 214                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 215        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 216        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 217                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 218                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 219        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 220        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 221                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 222 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 223                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 224        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 225                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 226                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 227                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 228        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 229                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 230        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 231                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 232 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 233                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 234        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 235                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 236                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 237                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 238        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 239                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 240        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 241                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 242 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 243                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 244        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 245                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 246                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 247                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 248        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 249                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 250        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 251                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 252 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 253                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 254        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 255                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 256                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 257                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 258        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 259                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 260        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 261                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 262 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 263                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 264        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 265                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 266                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 267                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 268        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 269                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 270        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 271                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 272 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 273                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 274        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 275                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 276                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 277                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 278        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 279                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 280        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 281                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 282 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 283                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 284        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 285                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 286                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 287                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 288        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 289                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 290        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 291                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 292 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 293                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 294        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 295                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 296                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 297                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 298        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 299                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 300        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 301                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 302 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 303                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 304        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 305                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 306                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 307                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 308        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 309                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 310        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 311                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 312 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 313                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 314        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 315                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 316                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 317                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 318        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 319                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 320        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 321                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 322 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 323                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 324        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 325                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 326                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 327                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 328        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 329                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 330        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 331                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 332 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 333                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 334        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 335                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 336                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 337                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 338        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 339                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 340        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 341                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 342 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 343                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 344        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 345                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 346                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 347                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 348        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 349                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 350        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 351                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 352 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 353                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 354        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 355                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 356                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 357                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 358        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 359                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 360        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 361                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 362                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 363 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 364 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 365                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 366                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 367        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 368        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 369                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 370                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 371                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 372                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 373                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 374                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 375        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 376        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 377                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 378                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 379        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 380        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 381                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 382                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 383 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 384 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 385                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 386                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 387        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 388        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 389                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 390                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 391                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 392                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 393                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 394                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 395        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 396        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 397                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 398                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 399        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 400        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 401                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 402                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 403 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 404 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 405                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 406                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 407        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 408        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 409                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 410                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 411                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 412                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 413                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 414                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 415        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 416        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 417                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 418                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 419        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 420        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 421                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 422                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 423 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 424 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 425                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 426                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 427        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 428        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 429                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 430                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 431                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 432                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 433                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 434                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 435        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 436        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 437                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 438                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 439        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 440        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 441                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 442 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 443                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 444        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 445                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 446                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 447                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 448        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 449                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 450        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 451                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 452 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 453                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 454        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 455                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 456                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 457                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 458        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 459                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 460        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 461                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 462 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 463                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 464        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 465                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 466                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 467                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 468        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 469                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 470        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 471                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 472 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 473                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 474        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 475                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 476                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 477                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 478        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 479                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 480        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 481                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 482 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 483                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 484        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 485                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 486                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 487                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 488        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 489                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 490        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 491                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 492 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 493                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 494        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 495                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 496                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 497                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 498        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 499                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 500        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 501                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 502 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 503                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 504        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 505                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 506                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 507                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 508        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 509                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 510        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 511                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 512 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 513                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 514        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 515                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 516                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 517                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 518        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 519                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 520        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 521                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 522 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 523                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 524        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 525                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 526                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 527                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 528        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 529                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 530        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 531                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 532 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 533                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 534        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 535                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 536                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 537                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 538        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 539                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 540        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 541                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 542 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 543                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 544        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 545                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 546                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 547                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 548        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 549                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 550        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 551                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 552 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 553                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 554        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 555                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 556                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 557                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 558        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 559                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 560        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 561                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 562 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 563                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 564        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 565                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 566                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 567                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 568        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 569                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 570        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 571                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 572 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 573                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 574        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 575                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 576                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 577                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 578        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 579                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 580        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 581                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 582                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 583 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 584 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 585                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 586                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 587        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 588        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 589                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 590                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 591                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 592                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 593                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 594                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 595        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 596        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 597                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 598                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 599        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 600        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 601                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 602                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 603 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 604 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 605                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 606                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 607        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 608        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 609                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 610                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 611                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 612                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 613                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 614                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 615        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 616        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 617                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 618                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 619        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 620        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 621                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 622                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 623 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 624 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 625                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 626                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 627        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 628        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 629                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 630                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 631                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 632                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 633                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 634                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 635        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 636        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 637                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 638                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 639        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 640        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 641                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 642                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 643 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 644 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 645                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 646                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 647        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 648        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 649                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 650                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 651                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 652                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 653                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 654                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 655        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 656        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 657                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 658                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 659        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 660        BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #>             INVID         INVNAM            ARM ARMCD         ACTARM ACTARMCD #> 1    INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 2   INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 3    INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 4   INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 5   INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 6    INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 7    INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 8    INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 9   INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 10   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 11   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 12  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 13   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 14  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 15  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 16   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 17   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 18   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 19  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 20   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 21   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 22  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 23   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 24  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 25  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 26   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 27   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 28   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 29  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 30   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 31   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 32  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 33   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 34  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 35  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 36   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 37   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 38   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 39  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 40   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 41   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 42  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 43   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 44  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 45  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 46   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 47   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 48   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 49  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 50   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 51   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 52  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 53   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 54  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 55  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 56   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 57   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 58   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 59  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 60   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 61   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 62  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 63   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 64  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 65  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 66   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 67   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 68   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 69  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 70   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 71   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 72  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 73   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 74  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 75  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 76   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 77   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 78   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 79  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 80   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 81   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 82  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 83   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 84  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 85  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 86   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 87   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 88   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 89  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 90   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 91   INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 92  INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 93   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 94  INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 95  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 96   INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 97   INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 98   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 99  INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 100  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 101  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 102 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 103  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 104 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 105 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 106  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 107  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 108  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 109 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 110  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 111  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 112 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 113  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 114 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 115 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 116  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 117  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 118  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 119 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 120  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 121  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 122 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 123  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 124 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 125 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 126  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 127  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 128  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 129 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 130  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 131  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 132 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 133  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 134 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 135 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 136  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 137  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 138  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 139 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 140  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 141  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 142  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 143 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 144 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 145  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 146  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 147 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 148 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 149 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 150 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 151  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 152  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 153  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 154  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 155  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 156  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 157 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 158 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 159  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 160  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 161  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 162  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 163 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 164 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 165  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 166  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 167 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 168 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 169 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 170 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 171  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 172  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 173  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 174  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 175  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 176  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 177 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 178 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 179  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 180  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 181  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 182  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 183 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 184 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 185  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 186  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 187 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 188 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 189 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 190 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 191  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 192  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 193  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 194  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 195  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 196  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 197 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 198 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 199  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 200  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 201  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 202  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 203 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 204 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 205  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 206  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 207 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 208 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 209 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 210 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 211  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 212  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 213  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 214  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 215  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 216  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 217 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 218 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 219  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 220  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 221  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 222 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 223  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 224 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 225 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 226  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 227  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 228  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 229 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 230  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 231  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 232 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 233  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 234 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 235 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 236  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 237  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 238  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 239 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 240  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 241  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 242 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 243  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 244 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 245 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 246  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 247  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 248  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 249 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 250  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 251  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 252 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 253  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 254 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 255 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 256  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 257  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 258  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 259 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 260  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 261  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 262 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 263  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 264 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 265 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 266  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 267  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 268  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 269 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 270  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 271  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 272 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 273  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 274 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 275 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 276  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 277  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 278  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 279 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 280  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 281  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 282 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 283  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 284 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 285 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 286  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 287  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 288  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 289 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 290  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 291  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 292 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 293  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 294 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 295 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 296  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 297  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 298  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 299 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 300  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 301  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 302 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 303  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 304 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 305 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 306  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 307  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 308  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 309 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 310  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 311  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 312 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 313  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 314 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 315 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 316  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 317  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 318  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 319 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 320  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 321  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 322 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 323  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 324 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 325 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 326  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 327  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 328  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 329 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 330  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 331  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 332 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 333  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 334 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 335 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 336  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 337  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 338  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 339 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 340  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 341  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 342 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 343  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 344 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 345 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 346  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 347  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 348  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 349 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 350  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 351  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 352 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 353  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 354 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 355 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 356  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 357  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 358  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 359 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 360  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 361  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 362  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 363 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 364 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 365  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 366  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 367 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 368 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 369 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 370 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 371  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 372  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 373  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 374  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 375  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 376  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 377 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 378 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 379  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 380  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 381  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 382  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 383 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 384 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 385  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 386  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 387 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 388 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 389 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 390 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 391  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 392  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 393  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 394  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 395  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 396  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 397 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 398 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 399  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 400  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 401  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 402  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 403 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 404 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 405  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 406  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 407 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 408 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 409 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 410 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 411  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 412  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 413  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 414  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 415  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 416  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 417 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 418 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 419  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 420  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 421  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 422  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 423 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 424 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 425  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 426  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 427 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 428 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 429 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 430 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 431  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 432  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 433  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 434  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 435  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 436  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 437 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 438 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 439  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 440  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 441  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 442 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 443  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 444 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 445 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 446  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 447  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 448  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 449 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 450  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 451  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 452 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 453  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 454 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 455 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 456  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 457  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 458  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 459 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 460  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 461  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 462 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 463  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 464 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 465 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 466  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 467  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 468  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 469 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 470  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 471  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 472 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 473  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 474 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 475 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 476  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 477  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 478  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 479 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 480  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 481  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 482 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 483  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 484 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 485 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 486  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 487  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 488  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 489 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 490  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 491  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 492 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 493  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 494 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 495 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 496  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 497  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 498  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 499 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 500  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 501  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 502 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 503  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 504 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 505 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 506  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 507  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 508  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 509 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 510  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 511  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 512 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 513  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 514 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 515 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 516  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 517  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 518  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 519 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 520  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 521  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 522 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 523  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 524 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 525 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 526  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 527  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 528  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 529 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 530  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 531  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 532 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 533  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 534 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 535 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 536  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 537  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 538  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 539 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 540  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 541  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 542 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 543  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 544 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 545 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 546  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 547  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 548  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 549 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 550  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 551  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 552 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 553  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 554 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 555 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 556  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 557  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 558  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 559 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 560  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 561  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 562 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 563  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 564 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 565 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 566  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 567  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 568  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 569 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 570  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 571  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 572 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 573  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 574 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 575 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 576  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 577  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 578  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 579 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 580  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 581  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 582  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 583 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 584 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 585  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 586  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 587 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 588 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 589 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 590 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 591  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 592  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 593  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 594  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 595  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 596  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 597 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 598 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 599  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 600  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 601  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 602  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 603 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 604 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 605  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 606  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 607 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 608 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 609 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 610 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 611  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 612  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 613  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 614  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 615  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 616  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 617 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 618 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 619  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 620  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 621  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 622  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 623 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 624 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 625  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 626  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 627 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 628 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 629 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 630 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 631  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 632  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 633  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 634  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 635  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 636  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 637 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 638 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 639  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 640  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 641  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 642  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 643 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 644 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 645  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 646  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 647 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 648 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 649 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 650 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 651  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 652  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 653  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 654  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 655  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 656  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 657 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 658 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 659  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 660  INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #>             TRT01P         TRT01A         TRT02P         TRT02A       REGION1 #> 1        A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 2        A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 3        A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 4        A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 5   C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 6        A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 7        A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 8   C: Combination C: Combination      A: Drug X C: Combination South America #> 9   C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 10  C: Combination C: Combination      A: Drug X C: Combination South America #> 11       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 12       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 13       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 14       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 15  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 16       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 17       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 18  C: Combination C: Combination      A: Drug X C: Combination South America #> 19  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 20  C: Combination C: Combination      A: Drug X C: Combination South America #> 21       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 22       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 23       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 24       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 25  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 26       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 27       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 28  C: Combination C: Combination      A: Drug X C: Combination South America #> 29  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 30  C: Combination C: Combination      A: Drug X C: Combination South America #> 31       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 32       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 33       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 34       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 35  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 36       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 37       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 38  C: Combination C: Combination      A: Drug X C: Combination South America #> 39  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 40  C: Combination C: Combination      A: Drug X C: Combination South America #> 41       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 42       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 43       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 44       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 45  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 46       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 47       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 48  C: Combination C: Combination      A: Drug X C: Combination South America #> 49  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 50  C: Combination C: Combination      A: Drug X C: Combination South America #> 51       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 52       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 53       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 54       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 55  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 56       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 57       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 58  C: Combination C: Combination      A: Drug X C: Combination South America #> 59  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 60  C: Combination C: Combination      A: Drug X C: Combination South America #> 61       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 62       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 63       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 64       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 65  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 66       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 67       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 68  C: Combination C: Combination      A: Drug X C: Combination South America #> 69  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 70  C: Combination C: Combination      A: Drug X C: Combination South America #> 71       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 72       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 73       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 74       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 75  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 76       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 77       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 78  C: Combination C: Combination      A: Drug X C: Combination South America #> 79  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 80  C: Combination C: Combination      A: Drug X C: Combination South America #> 81       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 82       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 83       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 84       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 85  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 86       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 87       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 88  C: Combination C: Combination      A: Drug X C: Combination South America #> 89  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 90  C: Combination C: Combination      A: Drug X C: Combination South America #> 91       A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 92       A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 93       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 94       A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 95  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 96       A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 97       A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 98  C: Combination C: Combination      A: Drug X C: Combination South America #> 99  C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 100 C: Combination C: Combination      A: Drug X C: Combination South America #> 101      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 102      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 103      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 104      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 105 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 106      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 107      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 108 C: Combination C: Combination      A: Drug X C: Combination South America #> 109 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 110 C: Combination C: Combination      A: Drug X C: Combination South America #> 111      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 112      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 113      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 114      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 115 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 116      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 117      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 118 C: Combination C: Combination      A: Drug X C: Combination South America #> 119 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 120 C: Combination C: Combination      A: Drug X C: Combination South America #> 121      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 122      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 123      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 124      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 125 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 126      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 127      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 128 C: Combination C: Combination      A: Drug X C: Combination South America #> 129 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 130 C: Combination C: Combination      A: Drug X C: Combination South America #> 131      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 132      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 133      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 134      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 135 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 136      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 137      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 138 C: Combination C: Combination      A: Drug X C: Combination South America #> 139 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 140 C: Combination C: Combination      A: Drug X C: Combination South America #> 141      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 142      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 143      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 144      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 145      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 146      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 147      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 148      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 149 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 150 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 151      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 152      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 153      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 154      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 155 C: Combination C: Combination      A: Drug X C: Combination South America #> 156 C: Combination C: Combination      A: Drug X C: Combination South America #> 157 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 158 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 159 C: Combination C: Combination      A: Drug X C: Combination South America #> 160 C: Combination C: Combination      A: Drug X C: Combination South America #> 161      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 162      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 163      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 164      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 165      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 166      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 167      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 168      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 169 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 170 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 171      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 172      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 173      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 174      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 175 C: Combination C: Combination      A: Drug X C: Combination South America #> 176 C: Combination C: Combination      A: Drug X C: Combination South America #> 177 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 178 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 179 C: Combination C: Combination      A: Drug X C: Combination South America #> 180 C: Combination C: Combination      A: Drug X C: Combination South America #> 181      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 182      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 183      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 184      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 185      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 186      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 187      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 188      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 189 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 190 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 191      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 192      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 193      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 194      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 195 C: Combination C: Combination      A: Drug X C: Combination South America #> 196 C: Combination C: Combination      A: Drug X C: Combination South America #> 197 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 198 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 199 C: Combination C: Combination      A: Drug X C: Combination South America #> 200 C: Combination C: Combination      A: Drug X C: Combination South America #> 201      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 202      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 203      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 204      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 205      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 206      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 207      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 208      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 209 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 210 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 211      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 212      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 213      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 214      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 215 C: Combination C: Combination      A: Drug X C: Combination South America #> 216 C: Combination C: Combination      A: Drug X C: Combination South America #> 217 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 218 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 219 C: Combination C: Combination      A: Drug X C: Combination South America #> 220 C: Combination C: Combination      A: Drug X C: Combination South America #> 221      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 222      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 223      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 224      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 225 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 226      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 227      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 228 C: Combination C: Combination      A: Drug X C: Combination South America #> 229 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 230 C: Combination C: Combination      A: Drug X C: Combination South America #> 231      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 232      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 233      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 234      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 235 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 236      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 237      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 238 C: Combination C: Combination      A: Drug X C: Combination South America #> 239 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 240 C: Combination C: Combination      A: Drug X C: Combination South America #> 241      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 242      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 243      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 244      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 245 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 246      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 247      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 248 C: Combination C: Combination      A: Drug X C: Combination South America #> 249 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 250 C: Combination C: Combination      A: Drug X C: Combination South America #> 251      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 252      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 253      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 254      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 255 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 256      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 257      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 258 C: Combination C: Combination      A: Drug X C: Combination South America #> 259 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 260 C: Combination C: Combination      A: Drug X C: Combination South America #> 261      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 262      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 263      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 264      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 265 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 266      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 267      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 268 C: Combination C: Combination      A: Drug X C: Combination South America #> 269 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 270 C: Combination C: Combination      A: Drug X C: Combination South America #> 271      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 272      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 273      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 274      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 275 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 276      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 277      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 278 C: Combination C: Combination      A: Drug X C: Combination South America #> 279 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 280 C: Combination C: Combination      A: Drug X C: Combination South America #> 281      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 282      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 283      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 284      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 285 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 286      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 287      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 288 C: Combination C: Combination      A: Drug X C: Combination South America #> 289 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 290 C: Combination C: Combination      A: Drug X C: Combination South America #> 291      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 292      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 293      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 294      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 295 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 296      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 297      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 298 C: Combination C: Combination      A: Drug X C: Combination South America #> 299 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 300 C: Combination C: Combination      A: Drug X C: Combination South America #> 301      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 302      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 303      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 304      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 305 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 306      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 307      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 308 C: Combination C: Combination      A: Drug X C: Combination South America #> 309 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 310 C: Combination C: Combination      A: Drug X C: Combination South America #> 311      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 312      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 313      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 314      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 315 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 316      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 317      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 318 C: Combination C: Combination      A: Drug X C: Combination South America #> 319 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 320 C: Combination C: Combination      A: Drug X C: Combination South America #> 321      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 322      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 323      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 324      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 325 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 326      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 327      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 328 C: Combination C: Combination      A: Drug X C: Combination South America #> 329 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 330 C: Combination C: Combination      A: Drug X C: Combination South America #> 331      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 332      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 333      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 334      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 335 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 336      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 337      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 338 C: Combination C: Combination      A: Drug X C: Combination South America #> 339 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 340 C: Combination C: Combination      A: Drug X C: Combination South America #> 341      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 342      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 343      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 344      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 345 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 346      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 347      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 348 C: Combination C: Combination      A: Drug X C: Combination South America #> 349 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 350 C: Combination C: Combination      A: Drug X C: Combination South America #> 351      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 352      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 353      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 354      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 355 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 356      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 357      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 358 C: Combination C: Combination      A: Drug X C: Combination South America #> 359 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 360 C: Combination C: Combination      A: Drug X C: Combination South America #> 361      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 362      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 363      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 364      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 365      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 366      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 367      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 368      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 369 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 370 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 371      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 372      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 373      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 374      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 375 C: Combination C: Combination      A: Drug X C: Combination South America #> 376 C: Combination C: Combination      A: Drug X C: Combination South America #> 377 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 378 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 379 C: Combination C: Combination      A: Drug X C: Combination South America #> 380 C: Combination C: Combination      A: Drug X C: Combination South America #> 381      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 382      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 383      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 384      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 385      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 386      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 387      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 388      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 389 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 390 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 391      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 392      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 393      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 394      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 395 C: Combination C: Combination      A: Drug X C: Combination South America #> 396 C: Combination C: Combination      A: Drug X C: Combination South America #> 397 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 398 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 399 C: Combination C: Combination      A: Drug X C: Combination South America #> 400 C: Combination C: Combination      A: Drug X C: Combination South America #> 401      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 402      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 403      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 404      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 405      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 406      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 407      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 408      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 409 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 410 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 411      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 412      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 413      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 414      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 415 C: Combination C: Combination      A: Drug X C: Combination South America #> 416 C: Combination C: Combination      A: Drug X C: Combination South America #> 417 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 418 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 419 C: Combination C: Combination      A: Drug X C: Combination South America #> 420 C: Combination C: Combination      A: Drug X C: Combination South America #> 421      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 422      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 423      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 424      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 425      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 426      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 427      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 428      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 429 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 430 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 431      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 432      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 433      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 434      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 435 C: Combination C: Combination      A: Drug X C: Combination South America #> 436 C: Combination C: Combination      A: Drug X C: Combination South America #> 437 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 438 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 439 C: Combination C: Combination      A: Drug X C: Combination South America #> 440 C: Combination C: Combination      A: Drug X C: Combination South America #> 441      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 442      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 443      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 444      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 445 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 446      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 447      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 448 C: Combination C: Combination      A: Drug X C: Combination South America #> 449 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 450 C: Combination C: Combination      A: Drug X C: Combination South America #> 451      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 452      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 453      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 454      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 455 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 456      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 457      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 458 C: Combination C: Combination      A: Drug X C: Combination South America #> 459 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 460 C: Combination C: Combination      A: Drug X C: Combination South America #> 461      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 462      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 463      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 464      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 465 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 466      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 467      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 468 C: Combination C: Combination      A: Drug X C: Combination South America #> 469 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 470 C: Combination C: Combination      A: Drug X C: Combination South America #> 471      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 472      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 473      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 474      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 475 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 476      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 477      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 478 C: Combination C: Combination      A: Drug X C: Combination South America #> 479 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 480 C: Combination C: Combination      A: Drug X C: Combination South America #> 481      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 482      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 483      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 484      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 485 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 486      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 487      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 488 C: Combination C: Combination      A: Drug X C: Combination South America #> 489 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 490 C: Combination C: Combination      A: Drug X C: Combination South America #> 491      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 492      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 493      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 494      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 495 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 496      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 497      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 498 C: Combination C: Combination      A: Drug X C: Combination South America #> 499 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 500 C: Combination C: Combination      A: Drug X C: Combination South America #> 501      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 502      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 503      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 504      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 505 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 506      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 507      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 508 C: Combination C: Combination      A: Drug X C: Combination South America #> 509 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 510 C: Combination C: Combination      A: Drug X C: Combination South America #> 511      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 512      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 513      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 514      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 515 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 516      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 517      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 518 C: Combination C: Combination      A: Drug X C: Combination South America #> 519 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 520 C: Combination C: Combination      A: Drug X C: Combination South America #> 521      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 522      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 523      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 524      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 525 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 526      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 527      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 528 C: Combination C: Combination      A: Drug X C: Combination South America #> 529 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 530 C: Combination C: Combination      A: Drug X C: Combination South America #> 531      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 532      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 533      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 534      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 535 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 536      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 537      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 538 C: Combination C: Combination      A: Drug X C: Combination South America #> 539 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 540 C: Combination C: Combination      A: Drug X C: Combination South America #> 541      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 542      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 543      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 544      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 545 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 546      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 547      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 548 C: Combination C: Combination      A: Drug X C: Combination South America #> 549 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 550 C: Combination C: Combination      A: Drug X C: Combination South America #> 551      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 552      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 553      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 554      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 555 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 556      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 557      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 558 C: Combination C: Combination      A: Drug X C: Combination South America #> 559 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 560 C: Combination C: Combination      A: Drug X C: Combination South America #> 561      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 562      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 563      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 564      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 565 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 566      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 567      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 568 C: Combination C: Combination      A: Drug X C: Combination South America #> 569 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 570 C: Combination C: Combination      A: Drug X C: Combination South America #> 571      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 572      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 573      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 574      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 575 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 576      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 577      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 578 C: Combination C: Combination      A: Drug X C: Combination South America #> 579 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 580 C: Combination C: Combination      A: Drug X C: Combination South America #> 581      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 582      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 583      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 584      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 585      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 586      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 587      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 588      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 589 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 590 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 591      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 592      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 593      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 594      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 595 C: Combination C: Combination      A: Drug X C: Combination South America #> 596 C: Combination C: Combination      A: Drug X C: Combination South America #> 597 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 598 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 599 C: Combination C: Combination      A: Drug X C: Combination South America #> 600 C: Combination C: Combination      A: Drug X C: Combination South America #> 601      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 602      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 603      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 604      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 605      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 606      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 607      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 608      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 609 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 610 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 611      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 612      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 613      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 614      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 615 C: Combination C: Combination      A: Drug X C: Combination South America #> 616 C: Combination C: Combination      A: Drug X C: Combination South America #> 617 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 618 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 619 C: Combination C: Combination      A: Drug X C: Combination South America #> 620 C: Combination C: Combination      A: Drug X C: Combination South America #> 621      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 622      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 623      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 624      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 625      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 626      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 627      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 628      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 629 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 630 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 631      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 632      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 633      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 634      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 635 C: Combination C: Combination      A: Drug X C: Combination South America #> 636 C: Combination C: Combination      A: Drug X C: Combination South America #> 637 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 638 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 639 C: Combination C: Combination      A: Drug X C: Combination South America #> 640 C: Combination C: Combination      A: Drug X C: Combination South America #> 641      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 642      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 643      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 644      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 645      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 646      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 647      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 648      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 649 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 650 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 651      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 652      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 653      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 654      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 655 C: Combination C: Combination      A: Drug X C: Combination South America #> 656 C: Combination C: Combination      A: Drug X C: Combination South America #> 657 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 658 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 659 C: Combination C: Combination      A: Drug X C: Combination South America #> 660 C: Combination C: Combination      A: Drug X C: Combination South America #>     STRATA1 STRATA2    BMRKR1 BMRKR2 ITTFL SAFFL BMEASIFL BEP01FL AEWITHFL #> 1         B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 2         C      S1  7.254058    LOW     Y     Y        Y       N        N #> 3         B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 4         C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 5         B      S1  8.926907    LOW     Y     Y        N       N        N #> 6         A      S2  2.619796    LOW     Y     Y        Y       N        N #> 7         B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 8         A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 9         B      S1  8.926907    LOW     Y     Y        N       N        N #> 10        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 11        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 12        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 13        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 14        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 15        B      S1  8.926907    LOW     Y     Y        N       N        N #> 16        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 17        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 18        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 19        B      S1  8.926907    LOW     Y     Y        N       N        N #> 20        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 21        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 22        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 23        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 24        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 25        B      S1  8.926907    LOW     Y     Y        N       N        N #> 26        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 27        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 28        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 29        B      S1  8.926907    LOW     Y     Y        N       N        N #> 30        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 31        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 32        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 33        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 34        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 35        B      S1  8.926907    LOW     Y     Y        N       N        N #> 36        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 37        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 38        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 39        B      S1  8.926907    LOW     Y     Y        N       N        N #> 40        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 41        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 42        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 43        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 44        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 45        B      S1  8.926907    LOW     Y     Y        N       N        N #> 46        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 47        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 48        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 49        B      S1  8.926907    LOW     Y     Y        N       N        N #> 50        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 51        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 52        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 53        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 54        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 55        B      S1  8.926907    LOW     Y     Y        N       N        N #> 56        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 57        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 58        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 59        B      S1  8.926907    LOW     Y     Y        N       N        N #> 60        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 61        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 62        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 63        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 64        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 65        B      S1  8.926907    LOW     Y     Y        N       N        N #> 66        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 67        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 68        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 69        B      S1  8.926907    LOW     Y     Y        N       N        N #> 70        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 71        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 72        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 73        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 74        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 75        B      S1  8.926907    LOW     Y     Y        N       N        N #> 76        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 77        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 78        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 79        B      S1  8.926907    LOW     Y     Y        N       N        N #> 80        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 81        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 82        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 83        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 84        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 85        B      S1  8.926907    LOW     Y     Y        N       N        N #> 86        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 87        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 88        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 89        B      S1  8.926907    LOW     Y     Y        N       N        N #> 90        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 91        B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 92        C      S1  7.254058    LOW     Y     Y        Y       N        N #> 93        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 94        C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 95        B      S1  8.926907    LOW     Y     Y        N       N        N #> 96        A      S2  2.619796    LOW     Y     Y        Y       N        N #> 97        B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 98        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 99        B      S1  8.926907    LOW     Y     Y        N       N        N #> 100       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 101       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 102       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 103       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 104       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 105       B      S1  8.926907    LOW     Y     Y        N       N        N #> 106       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 107       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 108       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 109       B      S1  8.926907    LOW     Y     Y        N       N        N #> 110       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 111       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 112       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 113       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 114       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 115       B      S1  8.926907    LOW     Y     Y        N       N        N #> 116       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 117       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 118       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 119       B      S1  8.926907    LOW     Y     Y        N       N        N #> 120       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 121       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 122       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 123       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 124       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 125       B      S1  8.926907    LOW     Y     Y        N       N        N #> 126       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 127       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 128       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 129       B      S1  8.926907    LOW     Y     Y        N       N        N #> 130       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 131       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 132       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 133       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 134       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 135       B      S1  8.926907    LOW     Y     Y        N       N        N #> 136       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 137       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 138       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 139       B      S1  8.926907    LOW     Y     Y        N       N        N #> 140       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 141       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 142       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 143       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 144       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 145       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 146       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 147       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 148       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 149       B      S1  8.926907    LOW     Y     Y        N       N        N #> 150       B      S1  8.926907    LOW     Y     Y        N       N        N #> 151       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 152       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 153       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 154       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 155       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 156       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 157       B      S1  8.926907    LOW     Y     Y        N       N        N #> 158       B      S1  8.926907    LOW     Y     Y        N       N        N #> 159       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 160       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 161       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 162       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 163       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 164       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 165       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 166       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 167       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 168       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 169       B      S1  8.926907    LOW     Y     Y        N       N        N #> 170       B      S1  8.926907    LOW     Y     Y        N       N        N #> 171       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 172       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 173       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 174       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 175       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 176       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 177       B      S1  8.926907    LOW     Y     Y        N       N        N #> 178       B      S1  8.926907    LOW     Y     Y        N       N        N #> 179       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 180       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 181       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 182       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 183       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 184       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 185       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 186       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 187       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 188       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 189       B      S1  8.926907    LOW     Y     Y        N       N        N #> 190       B      S1  8.926907    LOW     Y     Y        N       N        N #> 191       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 192       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 193       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 194       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 195       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 196       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 197       B      S1  8.926907    LOW     Y     Y        N       N        N #> 198       B      S1  8.926907    LOW     Y     Y        N       N        N #> 199       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 200       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 201       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 202       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 203       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 204       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 205       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 206       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 207       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 208       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 209       B      S1  8.926907    LOW     Y     Y        N       N        N #> 210       B      S1  8.926907    LOW     Y     Y        N       N        N #> 211       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 212       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 213       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 214       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 215       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 216       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 217       B      S1  8.926907    LOW     Y     Y        N       N        N #> 218       B      S1  8.926907    LOW     Y     Y        N       N        N #> 219       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 220       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 221       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 222       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 223       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 224       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 225       B      S1  8.926907    LOW     Y     Y        N       N        N #> 226       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 227       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 228       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 229       B      S1  8.926907    LOW     Y     Y        N       N        N #> 230       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 231       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 232       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 233       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 234       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 235       B      S1  8.926907    LOW     Y     Y        N       N        N #> 236       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 237       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 238       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 239       B      S1  8.926907    LOW     Y     Y        N       N        N #> 240       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 241       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 242       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 243       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 244       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 245       B      S1  8.926907    LOW     Y     Y        N       N        N #> 246       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 247       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 248       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 249       B      S1  8.926907    LOW     Y     Y        N       N        N #> 250       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 251       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 252       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 253       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 254       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 255       B      S1  8.926907    LOW     Y     Y        N       N        N #> 256       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 257       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 258       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 259       B      S1  8.926907    LOW     Y     Y        N       N        N #> 260       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 261       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 262       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 263       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 264       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 265       B      S1  8.926907    LOW     Y     Y        N       N        N #> 266       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 267       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 268       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 269       B      S1  8.926907    LOW     Y     Y        N       N        N #> 270       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 271       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 272       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 273       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 274       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 275       B      S1  8.926907    LOW     Y     Y        N       N        N #> 276       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 277       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 278       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 279       B      S1  8.926907    LOW     Y     Y        N       N        N #> 280       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 281       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 282       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 283       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 284       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 285       B      S1  8.926907    LOW     Y     Y        N       N        N #> 286       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 287       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 288       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 289       B      S1  8.926907    LOW     Y     Y        N       N        N #> 290       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 291       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 292       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 293       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 294       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 295       B      S1  8.926907    LOW     Y     Y        N       N        N #> 296       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 297       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 298       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 299       B      S1  8.926907    LOW     Y     Y        N       N        N #> 300       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 301       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 302       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 303       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 304       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 305       B      S1  8.926907    LOW     Y     Y        N       N        N #> 306       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 307       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 308       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 309       B      S1  8.926907    LOW     Y     Y        N       N        N #> 310       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 311       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 312       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 313       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 314       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 315       B      S1  8.926907    LOW     Y     Y        N       N        N #> 316       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 317       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 318       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 319       B      S1  8.926907    LOW     Y     Y        N       N        N #> 320       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 321       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 322       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 323       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 324       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 325       B      S1  8.926907    LOW     Y     Y        N       N        N #> 326       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 327       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 328       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 329       B      S1  8.926907    LOW     Y     Y        N       N        N #> 330       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 331       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 332       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 333       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 334       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 335       B      S1  8.926907    LOW     Y     Y        N       N        N #> 336       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 337       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 338       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 339       B      S1  8.926907    LOW     Y     Y        N       N        N #> 340       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 341       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 342       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 343       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 344       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 345       B      S1  8.926907    LOW     Y     Y        N       N        N #> 346       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 347       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 348       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 349       B      S1  8.926907    LOW     Y     Y        N       N        N #> 350       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 351       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 352       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 353       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 354       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 355       B      S1  8.926907    LOW     Y     Y        N       N        N #> 356       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 357       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 358       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 359       B      S1  8.926907    LOW     Y     Y        N       N        N #> 360       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 361       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 362       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 363       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 364       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 365       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 366       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 367       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 368       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 369       B      S1  8.926907    LOW     Y     Y        N       N        N #> 370       B      S1  8.926907    LOW     Y     Y        N       N        N #> 371       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 372       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 373       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 374       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 375       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 376       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 377       B      S1  8.926907    LOW     Y     Y        N       N        N #> 378       B      S1  8.926907    LOW     Y     Y        N       N        N #> 379       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 380       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 381       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 382       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 383       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 384       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 385       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 386       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 387       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 388       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 389       B      S1  8.926907    LOW     Y     Y        N       N        N #> 390       B      S1  8.926907    LOW     Y     Y        N       N        N #> 391       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 392       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 393       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 394       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 395       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 396       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 397       B      S1  8.926907    LOW     Y     Y        N       N        N #> 398       B      S1  8.926907    LOW     Y     Y        N       N        N #> 399       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 400       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 401       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 402       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 403       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 404       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 405       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 406       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 407       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 408       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 409       B      S1  8.926907    LOW     Y     Y        N       N        N #> 410       B      S1  8.926907    LOW     Y     Y        N       N        N #> 411       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 412       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 413       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 414       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 415       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 416       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 417       B      S1  8.926907    LOW     Y     Y        N       N        N #> 418       B      S1  8.926907    LOW     Y     Y        N       N        N #> 419       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 420       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 421       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 422       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 423       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 424       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 425       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 426       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 427       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 428       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 429       B      S1  8.926907    LOW     Y     Y        N       N        N #> 430       B      S1  8.926907    LOW     Y     Y        N       N        N #> 431       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 432       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 433       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 434       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 435       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 436       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 437       B      S1  8.926907    LOW     Y     Y        N       N        N #> 438       B      S1  8.926907    LOW     Y     Y        N       N        N #> 439       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 440       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 441       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 442       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 443       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 444       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 445       B      S1  8.926907    LOW     Y     Y        N       N        N #> 446       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 447       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 448       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 449       B      S1  8.926907    LOW     Y     Y        N       N        N #> 450       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 451       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 452       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 453       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 454       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 455       B      S1  8.926907    LOW     Y     Y        N       N        N #> 456       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 457       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 458       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 459       B      S1  8.926907    LOW     Y     Y        N       N        N #> 460       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 461       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 462       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 463       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 464       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 465       B      S1  8.926907    LOW     Y     Y        N       N        N #> 466       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 467       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 468       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 469       B      S1  8.926907    LOW     Y     Y        N       N        N #> 470       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 471       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 472       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 473       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 474       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 475       B      S1  8.926907    LOW     Y     Y        N       N        N #> 476       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 477       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 478       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 479       B      S1  8.926907    LOW     Y     Y        N       N        N #> 480       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 481       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 482       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 483       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 484       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 485       B      S1  8.926907    LOW     Y     Y        N       N        N #> 486       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 487       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 488       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 489       B      S1  8.926907    LOW     Y     Y        N       N        N #> 490       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 491       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 492       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 493       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 494       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 495       B      S1  8.926907    LOW     Y     Y        N       N        N #> 496       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 497       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 498       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 499       B      S1  8.926907    LOW     Y     Y        N       N        N #> 500       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 501       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 502       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 503       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 504       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 505       B      S1  8.926907    LOW     Y     Y        N       N        N #> 506       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 507       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 508       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 509       B      S1  8.926907    LOW     Y     Y        N       N        N #> 510       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 511       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 512       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 513       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 514       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 515       B      S1  8.926907    LOW     Y     Y        N       N        N #> 516       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 517       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 518       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 519       B      S1  8.926907    LOW     Y     Y        N       N        N #> 520       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 521       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 522       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 523       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 524       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 525       B      S1  8.926907    LOW     Y     Y        N       N        N #> 526       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 527       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 528       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 529       B      S1  8.926907    LOW     Y     Y        N       N        N #> 530       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 531       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 532       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 533       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 534       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 535       B      S1  8.926907    LOW     Y     Y        N       N        N #> 536       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 537       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 538       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 539       B      S1  8.926907    LOW     Y     Y        N       N        N #> 540       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 541       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 542       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 543       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 544       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 545       B      S1  8.926907    LOW     Y     Y        N       N        N #> 546       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 547       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 548       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 549       B      S1  8.926907    LOW     Y     Y        N       N        N #> 550       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 551       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 552       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 553       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 554       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 555       B      S1  8.926907    LOW     Y     Y        N       N        N #> 556       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 557       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 558       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 559       B      S1  8.926907    LOW     Y     Y        N       N        N #> 560       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 561       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 562       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 563       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 564       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 565       B      S1  8.926907    LOW     Y     Y        N       N        N #> 566       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 567       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 568       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 569       B      S1  8.926907    LOW     Y     Y        N       N        N #> 570       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 571       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 572       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 573       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 574       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 575       B      S1  8.926907    LOW     Y     Y        N       N        N #> 576       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 577       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 578       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 579       B      S1  8.926907    LOW     Y     Y        N       N        N #> 580       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 581       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 582       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 583       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 584       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 585       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 586       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 587       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 588       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 589       B      S1  8.926907    LOW     Y     Y        N       N        N #> 590       B      S1  8.926907    LOW     Y     Y        N       N        N #> 591       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 592       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 593       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 594       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 595       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 596       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 597       B      S1  8.926907    LOW     Y     Y        N       N        N #> 598       B      S1  8.926907    LOW     Y     Y        N       N        N #> 599       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 600       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 601       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 602       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 603       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 604       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 605       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 606       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 607       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 608       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 609       B      S1  8.926907    LOW     Y     Y        N       N        N #> 610       B      S1  8.926907    LOW     Y     Y        N       N        N #> 611       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 612       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 613       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 614       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 615       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 616       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 617       B      S1  8.926907    LOW     Y     Y        N       N        N #> 618       B      S1  8.926907    LOW     Y     Y        N       N        N #> 619       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 620       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 621       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 622       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 623       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 624       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 625       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 626       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 627       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 628       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 629       B      S1  8.926907    LOW     Y     Y        N       N        N #> 630       B      S1  8.926907    LOW     Y     Y        N       N        N #> 631       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 632       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 633       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 634       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 635       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 636       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 637       B      S1  8.926907    LOW     Y     Y        N       N        N #> 638       B      S1  8.926907    LOW     Y     Y        N       N        N #> 639       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 640       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 641       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 642       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 643       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 644       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 645       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 646       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 647       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 648       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 649       B      S1  8.926907    LOW     Y     Y        N       N        N #> 650       B      S1  8.926907    LOW     Y     Y        N       N        N #> 651       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 652       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 653       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 654       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 655       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 656       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 657       B      S1  8.926907    LOW     Y     Y        N       N        N #> 658       B      S1  8.926907    LOW     Y     Y        N       N        N #> 659       A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 660       A      S1  6.922043   HIGH     Y     Y        Y       N        N #>         RANDDT             TRTSDTM             TRTEDTM           TRT01SDTM #> 1   2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 2   2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 3   2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 4   2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 5   2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 6   2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 7   2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 8   2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 9   2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 10  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 11  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 12  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 13  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 14  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 15  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 16  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 17  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 18  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 19  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 20  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 21  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 22  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 23  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 24  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 25  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 26  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 27  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 28  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 29  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 30  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 31  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 32  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 33  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 34  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 35  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 36  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 37  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 38  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 39  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 40  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 41  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 42  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 43  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 44  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 45  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 46  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 47  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 48  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 49  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 50  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 51  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 52  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 53  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 54  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 55  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 56  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 57  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 58  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 59  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 60  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 61  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 62  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 63  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 64  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 65  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 66  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 67  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 68  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 69  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 70  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 71  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 72  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 73  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 74  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 75  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 76  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 77  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 78  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 79  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 80  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 81  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 82  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 83  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 84  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 85  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 86  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 87  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 88  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 89  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 90  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 91  2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 92  2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 93  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 94  2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 95  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 96  2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 97  2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 98  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 99  2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 100 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 101 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 102 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 103 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 104 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 105 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 106 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 107 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 108 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 109 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 110 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 111 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 112 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 113 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 114 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 115 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 116 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 117 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 118 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 119 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 120 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 121 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 122 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 123 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 124 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 125 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 126 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 127 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 128 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 129 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 130 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 131 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 132 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 133 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 134 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 135 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 136 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 137 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 138 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 139 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 140 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 141 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 142 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 143 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 144 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 145 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 146 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 147 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 148 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 149 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 150 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 151 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 152 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 153 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 154 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 155 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 156 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 157 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 158 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 159 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 160 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 161 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 162 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 163 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 164 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 165 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 166 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 167 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 168 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 169 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 170 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 171 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 172 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 173 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 174 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 175 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 176 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 177 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 178 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 179 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 180 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 181 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 182 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 183 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 184 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 185 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 186 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 187 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 188 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 189 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 190 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 191 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 192 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 193 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 194 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 195 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 196 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 197 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 198 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 199 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 200 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 201 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 202 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 203 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 204 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 205 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 206 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 207 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 208 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 209 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 210 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 211 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 212 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 213 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 214 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 215 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 216 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 217 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 218 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 219 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 220 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 221 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 222 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 223 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 224 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 225 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 226 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 227 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 228 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 229 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 230 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 231 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 232 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 233 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 234 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 235 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 236 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 237 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 238 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 239 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 240 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 241 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 242 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 243 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 244 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 245 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 246 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 247 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 248 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 249 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 250 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 251 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 252 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 253 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 254 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 255 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 256 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 257 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 258 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 259 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 260 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 261 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 262 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 263 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 264 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 265 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 266 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 267 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 268 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 269 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 270 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 271 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 272 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 273 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 274 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 275 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 276 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 277 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 278 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 279 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 280 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 281 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 282 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 283 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 284 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 285 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 286 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 287 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 288 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 289 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 290 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 291 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 292 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 293 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 294 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 295 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 296 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 297 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 298 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 299 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 300 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 301 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 302 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 303 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 304 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 305 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 306 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 307 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 308 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 309 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 310 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 311 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 312 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 313 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 314 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 315 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 316 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 317 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 318 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 319 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 320 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 321 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 322 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 323 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 324 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 325 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 326 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 327 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 328 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 329 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 330 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 331 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 332 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 333 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 334 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 335 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 336 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 337 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 338 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 339 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 340 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 341 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 342 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 343 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 344 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 345 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 346 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 347 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 348 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 349 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 350 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 351 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 352 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 353 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 354 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 355 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 356 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 357 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 358 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 359 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 360 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 361 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 362 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 363 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 364 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 365 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 366 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 367 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 368 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 369 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 370 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 371 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 372 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 373 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 374 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 375 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 376 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 377 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 378 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 379 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 380 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 381 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 382 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 383 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 384 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 385 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 386 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 387 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 388 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 389 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 390 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 391 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 392 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 393 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 394 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 395 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 396 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 397 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 398 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 399 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 400 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 401 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 402 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 403 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 404 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 405 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 406 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 407 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 408 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 409 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 410 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 411 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 412 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 413 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 414 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 415 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 416 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 417 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 418 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 419 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 420 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 421 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 422 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 423 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 424 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 425 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 426 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 427 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 428 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 429 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 430 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 431 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 432 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 433 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 434 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 435 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 436 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 437 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 438 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 439 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 440 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 441 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 442 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 443 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 444 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 445 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 446 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 447 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 448 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 449 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 450 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 451 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 452 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 453 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 454 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 455 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 456 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 457 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 458 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 459 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 460 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 461 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 462 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 463 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 464 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 465 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 466 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 467 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 468 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 469 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 470 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 471 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 472 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 473 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 474 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 475 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 476 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 477 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 478 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 479 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 480 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 481 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 482 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 483 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 484 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 485 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 486 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 487 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 488 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 489 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 490 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 491 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 492 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 493 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 494 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 495 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 496 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 497 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 498 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 499 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 500 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 501 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 502 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 503 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 504 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 505 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 506 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 507 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 508 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 509 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 510 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 511 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 512 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 513 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 514 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 515 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 516 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 517 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 518 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 519 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 520 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 521 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 522 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 523 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 524 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 525 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 526 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 527 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 528 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 529 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 530 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 531 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 532 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 533 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 534 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 535 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 536 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 537 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 538 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 539 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 540 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 541 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 542 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 543 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 544 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 545 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 546 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 547 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 548 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 549 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 550 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 551 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 552 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 553 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 554 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 555 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 556 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 557 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 558 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 559 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 560 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 561 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 562 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 563 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 564 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 565 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 566 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 567 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 568 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 569 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 570 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 571 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 572 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 573 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 574 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 575 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 576 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 577 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 578 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 579 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 580 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 581 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 582 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 583 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 584 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 585 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 586 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 587 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 588 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 589 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 590 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 591 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 592 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 593 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 594 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 595 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 596 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 597 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 598 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 599 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 600 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 601 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 602 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 603 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 604 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 605 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 606 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 607 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 608 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 609 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 610 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 611 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 612 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 613 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 614 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 615 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 616 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 617 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 618 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 619 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 620 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 621 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 622 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 623 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 624 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 625 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 626 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 627 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 628 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 629 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 630 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 631 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 632 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 633 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 634 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 635 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 636 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 637 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 638 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 639 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 640 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 641 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 642 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 643 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 644 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 645 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 646 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 647 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 648 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 649 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 650 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 651 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 652 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 653 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 654 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 655 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 656 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 657 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 658 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 659 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 660 2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #>               TRT01EDTM           TRT02SDTM           TRT02EDTM #> 1   2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 2   2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 3   2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 4                  <NA>                <NA>                <NA> #> 5   2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 6   2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 7   2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 8   2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 9   2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 10  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 11  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 12  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 13  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 14                 <NA>                <NA>                <NA> #> 15  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 16  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 17  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 18  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 19  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 20  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 21  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 22  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 23  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 24                 <NA>                <NA>                <NA> #> 25  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 26  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 27  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 28  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 29  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 30  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 31  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 32  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 33  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 34                 <NA>                <NA>                <NA> #> 35  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 36  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 37  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 38  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 39  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 40  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 41  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 42  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 43  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 44                 <NA>                <NA>                <NA> #> 45  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 46  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 47  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 48  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 49  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 50  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 51  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 52  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 53  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 54                 <NA>                <NA>                <NA> #> 55  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 56  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 57  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 58  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 59  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 60  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 61  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 62  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 63  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 64                 <NA>                <NA>                <NA> #> 65  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 66  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 67  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 68  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 69  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 70  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 71  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 72  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 73  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 74                 <NA>                <NA>                <NA> #> 75  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 76  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 77  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 78  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 79  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 80  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 81  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 82  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 83  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 84                 <NA>                <NA>                <NA> #> 85  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 86  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 87  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 88  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 89  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 90  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 91  2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 92  2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 93  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 94                 <NA>                <NA>                <NA> #> 95  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 96  2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 97  2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 98  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 99  2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 100 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 101 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 102 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 103 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 104                <NA>                <NA>                <NA> #> 105 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 106 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 107 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 108 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 109 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 110 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 111 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 112 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 113 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 114                <NA>                <NA>                <NA> #> 115 2020-09-08 14:09:38 2020-09-08 14:09:38 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10:43:53 2024-01-18 16:43:53 #> 131 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 132 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 133 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 134                <NA>                <NA>                <NA> #> 135 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 136 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 137 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 138 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 139 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 140 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 141 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 142 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 143 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 144 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 145 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 146 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 147                <NA>                <NA>                <NA> #> 148                <NA>                <NA>                <NA> #> 149 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 150 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 151 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 152 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 153 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 154 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 155 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 156 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 157 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 158 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 159 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 160 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 161 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 162 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 163 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 164 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 165 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 166 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 167                <NA>                <NA>                <NA> #> 168                <NA>                <NA>                <NA> #> 169 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 170 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 171 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 172 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 173 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 174 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 175 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 176 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 177 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 178 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 179 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 180 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 181 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 182 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 183 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 184 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 185 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 186 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 187                <NA>                <NA>                <NA> #> 188                <NA>                <NA>                <NA> #> 189 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 190 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 191 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 192 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 193 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 194 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 195 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 196 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 197 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 198 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 199 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 200 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 201 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 202 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 203 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 204 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 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        <NA>                <NA> #> 265 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 266 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 267 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 268 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 269 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 270 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 271 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 272 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 273 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 274                <NA>                <NA>                <NA> #> 275 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 276 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 277 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 278 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 279 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 280 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 281 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 282 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 283 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 284                <NA>                <NA>                <NA> #> 285 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 286 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 287 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 288 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 289 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 290 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 291 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 292 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 293 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 294                <NA>                <NA>                <NA> #> 295 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 296 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 297 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 298 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 299 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 300 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 301 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 302 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 303 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 304                <NA>                <NA>                <NA> #> 305 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 306 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 307 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 308 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 309 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 310 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 311 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 312 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 313 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 314                <NA>                <NA>                <NA> #> 315 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 316 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 317 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 318 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 319 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 320 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 321 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 322 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 323 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 324                <NA>                <NA>                <NA> #> 325 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 326 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 327 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 328 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 329 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 330 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 331 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 332 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 333 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 334                <NA>                <NA>                <NA> #> 335 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 336 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 337 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 338 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 339 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 340 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 341 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 342 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 343 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 344                <NA>                <NA>                <NA> #> 345 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 346 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 347 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 348 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 349 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 350 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 351 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 352 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 353 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 354                <NA>                <NA>                <NA> #> 355 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 356 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 357 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 358 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 359 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 360 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 361 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 362 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 363 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 364 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 365 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 366 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 367                <NA>                <NA>                <NA> #> 368                <NA>                <NA>                <NA> #> 369 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 370 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 371 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 372 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 373 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 374 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 375 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 376 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 377 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 378 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 379 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 380 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 381 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 382 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 383 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 384 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 385 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 386 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 387                <NA>                <NA>                <NA> #> 388                <NA>                <NA>                <NA> #> 389 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 390 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 391 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 392 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 393 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 394 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 395 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 396 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 397 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 398 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 399 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 400 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 401 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 402 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 403 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 404 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 405 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 406 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 407                <NA>                <NA>                <NA> #> 408                <NA>                <NA>                <NA> #> 409 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 410 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 411 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 412 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 413 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 414 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 415 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 416 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 417 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 418 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 419 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 420 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 421 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 422 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 423 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 424 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 425 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 426 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 427                <NA>                <NA>                <NA> #> 428                <NA>                <NA>                <NA> #> 429 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 430 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 431 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 432 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 433 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 434 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 435 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 436 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 437 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 438 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 439 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 440 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 441 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 442 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 443 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 444                <NA>                <NA>                <NA> #> 445 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 446 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 447 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 448 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 449 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 450 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 451 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 452 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 453 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 454                <NA>                <NA>                <NA> #> 455 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 456 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 457 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 458 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 459 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 460 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 461 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 462 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 463 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 464                <NA>                <NA>                <NA> #> 465 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 466 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 467 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 468 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 469 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 470 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 471 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 472 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 473 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 474                <NA>                <NA>                <NA> #> 475 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 476 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 477 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 478 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 479 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 480 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 481 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 482 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 483 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 484                <NA>                <NA>                <NA> #> 485 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 486 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 487 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 488 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 489 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 490 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 491 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 492 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 493 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 494                <NA>                <NA>                <NA> #> 495 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 496 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 497 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 498 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 499 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 500 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 501 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 502 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 503 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 504                <NA>                <NA>                <NA> #> 505 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 506 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 507 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 508 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 509 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 510 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 511 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 512 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 513 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 514                <NA>                <NA>                <NA> #> 515 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 516 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 517 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 518 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 519 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 520 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 521 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 522 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 523 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 524                <NA>                <NA>                <NA> #> 525 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 526 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 527 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 528 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 529 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 530 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 531 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 532 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 533 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 534                <NA>                <NA>                <NA> #> 535 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 536 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 537 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 538 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 539 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 540 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 541 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 542 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 543 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 544                <NA>                <NA>                <NA> #> 545 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 546 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 547 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 548 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 549 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 550 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 551 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 552 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 553 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 554                <NA>                <NA>                <NA> #> 555 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 556 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 557 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 558 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 559 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 560 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 561 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 562 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 563 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 564                <NA>                <NA>                <NA> #> 565 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 566 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 567 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 568 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 569 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 570 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 571 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 572 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 573 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 574                <NA>                <NA>                <NA> #> 575 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 576 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 577 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 578 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 579 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 580 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 581 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 582 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 583 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 584 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 585 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 586 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 587                <NA>                <NA>                <NA> #> 588                <NA>                <NA>                <NA> #> 589 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 590 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 591 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 592 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 593 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 594 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 595 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 596 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 597 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 598 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 599 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 600 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 601 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 602 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 603 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 604 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 605 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 606 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 607                <NA>                <NA>                <NA> #> 608                <NA>                <NA>                <NA> #> 609 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 610 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 611 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 612 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 613 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 614 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 615 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 616 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 617 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 618 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 619 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 620 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 621 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 622 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 623 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 624 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 625 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 626 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 627                <NA>                <NA>                <NA> #> 628                <NA>                <NA>                <NA> #> 629 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 630 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 631 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 632 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 633 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 634 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 635 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 636 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 637 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 638 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 639 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 640 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 641 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 642 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 643 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 644 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 645 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 646 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 647                <NA>                <NA>                <NA> #> 648                <NA>                <NA>                <NA> #> 649 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 650 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 651 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 652 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 653 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 654 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 655 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 656 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 657 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 658 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 659 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 660 2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #>                AP01SDTM            AP01EDTM            AP02SDTM #> 1   2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 2   2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 3   2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 4   2020-02-26 18:15:59                <NA>                <NA> #> 5   2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 6   2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 7   2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 8   2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 9   2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 10  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 11  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 12  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 13  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 14  2020-02-26 18:15:59                <NA>                <NA> #> 15  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 16  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 17  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 18  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 19  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 20  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 21  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 22  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 23  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 24  2020-02-26 18:15:59                <NA>                <NA> #> 25  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 26  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 27  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 28  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 29  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 30  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 31  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 32  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 33  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 34  2020-02-26 18:15:59                <NA>                <NA> #> 35  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 36  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 37  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 38  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 39  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 40  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 41  2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 42  2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 43  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 44  2020-02-26 18:15:59                <NA>                <NA> #> 45  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 46  2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 47  2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 48  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 49  2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 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10:43:53 2023-01-18 10:43:53 #> 229 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 230 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 231 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 232 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 233 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 234 2020-02-26 18:15:59                <NA>                <NA> #> 235 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 236 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 237 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 238 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 239 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 240 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 241 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 242 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 243 2020-01-21 10:19:08 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22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 259 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 260 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 261 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 262 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 263 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 264 2020-02-26 18:15:59                <NA>                <NA> #> 265 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 266 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 267 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 268 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 269 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 270 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 271 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 272 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 273 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 274 2020-02-26 18:15:59                <NA>                <NA> #> 275 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 276 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 277 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 278 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 279 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 280 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 281 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 282 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 283 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 284 2020-02-26 18:15:59                <NA>                <NA> #> 285 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 286 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 287 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 288 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 289 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 290 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 291 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 292 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 293 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 294 2020-02-26 18:15:59                <NA>                <NA> #> 295 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 296 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 297 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 298 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 299 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 300 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 301 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 302 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 303 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 304 2020-02-26 18:15:59                <NA>                <NA> #> 305 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 306 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 307 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 308 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 309 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 310 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 311 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 312 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 313 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 314 2020-02-26 18:15:59                <NA>                <NA> #> 315 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 316 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 317 2020-10-26 22:16:26 2022-10-27 10:16:26 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05:56:02 2021-10-17 05:56:02 #> 333 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 334 2020-02-26 18:15:59                <NA>                <NA> #> 335 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 336 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 337 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 338 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 339 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 340 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 341 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 342 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 343 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 344 2020-02-26 18:15:59                <NA>                <NA> #> 345 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 346 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 347 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 348 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 349 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 350 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 351 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 352 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 353 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 354 2020-02-26 18:15:59                <NA>                <NA> #> 355 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 356 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 357 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 358 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 359 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 360 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 361 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 362 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 363 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 364 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 365 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 366 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 367 2020-02-26 18:15:59                <NA>                <NA> #> 368 2020-02-26 18:15:59                <NA>                <NA> #> 369 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 370 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 371 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 372 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 373 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 374 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 375 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 376 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 377 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 378 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 379 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 380 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 381 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 382 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 383 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 384 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 385 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 386 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 387 2020-02-26 18:15:59                <NA>                <NA> #> 388 2020-02-26 18:15:59                <NA>                <NA> #> 389 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 390 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 391 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 392 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 393 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 394 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 395 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 396 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 397 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 398 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 399 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 400 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 401 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 402 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 403 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 404 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 405 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 406 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 407 2020-02-26 18:15:59                <NA>                <NA> #> 408 2020-02-26 18:15:59                <NA>                <NA> #> 409 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 410 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 411 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 412 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 413 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 414 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 415 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 416 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 417 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 418 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 419 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 420 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 421 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 422 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 423 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 424 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 425 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 426 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 427 2020-02-26 18:15:59                <NA>                <NA> #> 428 2020-02-26 18:15:59                <NA>                <NA> #> 429 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 430 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 431 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 432 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 433 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 434 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 435 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 436 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 437 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 438 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 439 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 440 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 441 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 442 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 443 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 444 2020-02-26 18:15:59                <NA>                <NA> #> 445 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 446 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 447 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 448 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 449 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 450 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 451 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 452 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 453 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 454 2020-02-26 18:15:59                <NA>                <NA> #> 455 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 456 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 457 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 458 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 459 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 460 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 461 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 462 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 463 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 464 2020-02-26 18:15:59                <NA>                <NA> #> 465 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 466 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 467 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 468 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 469 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 470 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 471 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 472 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 473 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 474 2020-02-26 18:15:59                <NA>                <NA> #> 475 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 476 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 477 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 478 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 479 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 480 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 481 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 482 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 483 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 484 2020-02-26 18:15:59                <NA>                <NA> #> 485 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 486 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 487 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 488 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 489 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 490 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 491 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 492 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 493 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 494 2020-02-26 18:15:59                <NA>                <NA> #> 495 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 496 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 497 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 498 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 499 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 500 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 501 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 502 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 503 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 504 2020-02-26 18:15:59                <NA>                <NA> #> 505 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 506 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 507 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 508 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 509 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 510 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 511 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 512 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 513 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 514 2020-02-26 18:15:59                <NA>                <NA> #> 515 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 516 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 517 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 518 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 519 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 520 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 521 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 522 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 523 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 524 2020-02-26 18:15:59                <NA>                <NA> #> 525 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 526 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 527 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 528 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 529 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 530 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 531 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 532 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 533 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 534 2020-02-26 18:15:59                <NA>                <NA> #> 535 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 536 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 537 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 538 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 539 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 540 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 541 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 542 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 543 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 544 2020-02-26 18:15:59                <NA>                <NA> #> 545 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 546 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 547 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 548 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 549 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 550 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 551 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 552 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 553 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 554 2020-02-26 18:15:59                <NA>                <NA> #> 555 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 556 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 557 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 558 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 559 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 560 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 561 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 562 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 563 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 564 2020-02-26 18:15:59                <NA>                <NA> #> 565 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 566 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 567 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 568 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 569 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 570 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 571 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 572 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 573 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 574 2020-02-26 18:15:59                <NA>                <NA> #> 575 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 576 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 577 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 578 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 579 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 580 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 581 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 582 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 583 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 584 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 585 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 586 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 587 2020-02-26 18:15:59                <NA>                <NA> #> 588 2020-02-26 18:15:59                <NA>                <NA> #> 589 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 590 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 591 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 592 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 593 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 594 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 595 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 596 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 597 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 598 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 599 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 600 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 601 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 602 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 603 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 604 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 605 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 606 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 607 2020-02-26 18:15:59                <NA>                <NA> #> 608 2020-02-26 18:15:59                <NA>                <NA> #> 609 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 610 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 611 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 612 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 613 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 614 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 615 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 616 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 617 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 618 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 619 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 620 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 621 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 622 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 623 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 624 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 625 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 626 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 627 2020-02-26 18:15:59                <NA>                <NA> #> 628 2020-02-26 18:15:59                <NA>                <NA> #> 629 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 630 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 631 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 632 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 633 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 634 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 635 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 636 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 637 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 638 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 639 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 640 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 641 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 642 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 643 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 644 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 645 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 646 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 647 2020-02-26 18:15:59                <NA>                <NA> #> 648 2020-02-26 18:15:59                <NA>                <NA> #> 649 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 650 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 651 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 652 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 653 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 654 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 655 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 656 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 657 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 658 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 659 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 660 2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #>                AP02EDTM       EOSSTT       EOTSTT      EOSDT EOSDY DCSREAS #> 1   2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 2   2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 3   2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 4                  <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 5   2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 6   2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 7   2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 8   2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 9   2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 10  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 11  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 12  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 13  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 14                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 15  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 16  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 17  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 18  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 19  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 20  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 21  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 22  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 23  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 24                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 25  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 26  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 27  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 28  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 29  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 30  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 31  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 32  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 33  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 34                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 35  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 36  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 37  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 38  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 39  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 40  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 41  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 42  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 43  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 44                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 45  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 46  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 47  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 48  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 49  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 50  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 51  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 52  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 53  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 54                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 55  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 56  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 57  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 58  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 59  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 60  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 61  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 62  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 63  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 64                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 65  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 66  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 67  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 68  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 69  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 70  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 71  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 72  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 73  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 74                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 75  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 76  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 77  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 78  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 79  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 80  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 81  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 82  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 83  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 84                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 85  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 86  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 87  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 88  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 89  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 90  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 91  2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 92  2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 93  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 94                 <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 95  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 96  2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 97  2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 98  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 99  2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 100 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 101 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 102 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 103 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 104                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 105 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 106 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 107 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 108 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 109 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 110 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 111 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 112 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 113 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 114                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 115 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 116 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 117 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 118 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 119 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 120 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 121 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 122 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 123 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 124                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 125 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 126 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 127 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 128 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 129 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 130 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 131 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 132 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 133 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 134                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 135 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 136 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 137 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 138 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 139 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 140 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 141 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 142 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 143 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 144 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 145 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 146 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 147                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 148                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 149 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 150 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 151 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 152 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 153 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 154 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 155 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 156 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 157 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 158 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 159 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 160 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 161 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 162 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 163 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 164 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 165 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 166 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 167                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 168                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 169 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 170 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 171 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 172 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 173 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 174 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 175 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 176 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 177 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 178 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 179 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 180 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 181 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 182 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 183 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 184 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 185 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 186 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 187                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 188                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 189 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 190 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 191 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 192 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 193 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 194 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 195 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 196 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 197 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 198 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 199 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 200 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 201 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 202 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 203 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 204 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 205 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 206 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 207                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 208                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 209 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 210 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 211 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 212 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 213 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 214 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 215 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 216 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 217 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 218 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 219 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 220 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 221 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 222 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 223 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 224                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 225 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 226 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 227 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 228 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 229 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 230 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 231 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 232 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 233 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 234                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 235 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 236 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 237 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 238 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 239 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 240 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 241 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 242 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 243 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 244                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 245 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 246 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 247 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 248 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 249 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 250 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 251 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 252 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 253 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 254                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 255 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 256 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 257 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 258 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 259 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 260 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 261 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 262 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 263 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 264                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 265 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 266 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 267 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 268 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 269 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 270 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 271 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 272 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 273 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 274                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 275 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 276 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 277 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 278 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 279 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 280 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 281 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 282 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 283 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 284                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 285 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 286 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 287 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 288 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 289 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 290 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 291 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 292 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 293 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 294                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 295 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 296 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 297 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 298 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 299 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 300 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 301 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 302 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 303 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 304                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 305 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 306 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 307 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 308 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 309 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 310 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 311 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 312 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 313 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 314                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 315 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 316 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 317 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 318 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 319 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 320 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 321 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 322 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 323 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 324                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 325 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 326 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 327 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 328 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 329 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 330 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 331 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 332 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 333 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 334                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 335 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 336 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 337 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 338 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 339 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 340 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 341 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 342 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 343 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 344                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 345 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 346 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 347 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 348 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 349 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 350 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 351 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 352 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 353 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 354                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 355 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 356 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 357 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 358 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 359 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 360 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 361 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 362 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 363 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 364 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 365 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 366 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 367                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 368                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 369 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 370 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 371 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 372 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 373 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 374 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 375 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 376 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 377 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 378 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 379 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 380 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 381 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 382 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 383 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 384 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 385 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 386 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 387                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 388                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 389 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 390 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 391 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 392 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 393 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 394 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 395 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 396 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 397 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 398 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 399 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 400 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 401 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 402 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 403 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 404 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 405 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 406 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 407                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 408                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 409 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 410 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 411 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 412 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 413 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 414 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 415 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 416 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 417 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 418 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 419 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 420 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 421 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 422 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 423 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 424 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 425 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 426 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 427                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 428                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 429 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 430 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 431 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 432 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 433 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 434 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 435 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 436 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 437 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 438 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 439 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 440 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 441 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 442 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 443 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 444                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 445 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 446 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 447 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 448 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 449 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 450 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 451 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 452 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 453 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 454                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 455 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 456 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 457 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 458 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 459 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 460 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 461 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 462 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 463 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 464                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 465 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 466 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 467 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 468 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 469 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 470 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 471 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 472 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 473 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 474                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 475 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 476 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 477 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 478 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 479 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 480 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 481 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 482 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 483 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 484                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 485 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 486 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 487 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 488 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 489 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 490 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 491 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 492 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 493 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 494                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 495 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 496 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 497 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 498 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 499 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 500 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 501 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 502 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 503 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 504                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 505 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 506 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 507 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 508 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 509 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 510 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 511 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 512 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 513 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 514                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 515 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 516 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 517 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 518 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 519 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 520 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 521 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 522 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 523 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 524                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 525 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 526 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 527 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 528 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 529 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 530 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 531 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 532 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 533 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 534                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 535 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 536 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 537 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 538 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 539 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 540 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 541 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 542 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 543 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 544                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 545 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 546 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 547 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 548 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 549 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 550 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 551 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 552 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 553 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 554                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 555 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 556 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 557 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 558 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 559 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 560 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 561 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 562 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 563 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 564                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 565 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 566 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 567 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 568 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 569 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 570 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 571 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 572 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 573 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 574                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 575 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 576 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 577 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 578 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 579 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 580 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 581 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 582 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 583 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 584 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 585 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 586 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 587                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 588                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 589 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 590 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 591 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 592 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 593 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 594 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 595 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 596 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 597 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 598 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 599 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 600 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 601 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 602 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 603 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 604 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 605 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 606 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 607                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 608                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 609 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 610 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 611 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 612 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 613 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 614 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 615 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 616 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 617 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 618 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 619 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 620 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 621 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 622 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 623 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 624 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 625 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 626 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 627                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 628                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 629 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 630 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 631 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 632 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 633 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 634 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 635 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 636 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 637 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 638 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 639 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 640 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 641 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 642 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096    <NA> #> 643 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 644 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096    <NA> #> 645 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 646 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635   DEATH #> 647                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 648                <NA>      ONGOING      ONGOING       <NA>    NA    <NA> #> 649 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 650 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 651 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 652 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096    <NA> #> 653 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 654 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096    <NA> #> 655 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 656 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 657 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 658 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495   DEATH #> 659 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #> 660 2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096    <NA> #>          DTHDT             DTHCAUS              DTHCAT LDDTHELD LDDTHGR1 #> 1         <NA>                <NA>                <NA>       NA     <NA> #> 2         <NA>                <NA>                <NA>       NA     <NA> #> 3   2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 4         <NA>                <NA>                <NA>       NA     <NA> #> 5   2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 6         <NA>                <NA>                <NA>       NA     <NA> #> 7         <NA>                <NA>                <NA>       NA     <NA> #> 8         <NA>                <NA>                <NA>       NA     <NA> #> 9   2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 10        <NA>                <NA>                <NA>       NA     <NA> #> 11        <NA>                <NA>                <NA>       NA     <NA> #> 12        <NA>                <NA>                <NA>       NA     <NA> #> 13  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 14        <NA>                <NA>                <NA>       NA     <NA> #> 15  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 16        <NA>                <NA>                <NA>       NA     <NA> #> 17        <NA>                <NA>                <NA>       NA     <NA> #> 18        <NA>                <NA>                <NA>       NA     <NA> #> 19  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 20        <NA>                <NA>                <NA>       NA     <NA> #> 21        <NA>                <NA>                <NA>       NA     <NA> #> 22        <NA>                <NA>                <NA>       NA     <NA> #> 23  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 24        <NA>                <NA>                <NA>       NA     <NA> #> 25  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 26        <NA>                <NA>                <NA>       NA     <NA> #> 27        <NA>                <NA>                <NA>       NA     <NA> #> 28        <NA>                <NA>                <NA>       NA     <NA> #> 29  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 30        <NA>                <NA>                <NA>       NA     <NA> #> 31        <NA>                <NA>                <NA>       NA     <NA> #> 32        <NA>                <NA>                <NA>       NA     <NA> #> 33  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 34        <NA>                <NA>                <NA>       NA     <NA> #> 35  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 36        <NA>                <NA>                <NA>       NA     <NA> #> 37        <NA>                <NA>                <NA>       NA     <NA> #> 38        <NA>                <NA>                <NA>       NA     <NA> #> 39  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 40        <NA>                <NA>                <NA>       NA     <NA> #> 41        <NA>                <NA>                <NA>       NA     <NA> #> 42        <NA>                <NA>                <NA>       NA     <NA> #> 43  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 44        <NA>                <NA>                <NA>       NA     <NA> #> 45  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 46        <NA>                <NA>                <NA>       NA     <NA> #> 47        <NA>                <NA>                <NA>       NA     <NA> #> 48        <NA>                <NA>                <NA>       NA     <NA> #> 49  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 50        <NA>                <NA>                <NA>       NA     <NA> #> 51        <NA>                <NA>                <NA>       NA     <NA> #> 52        <NA>                <NA>                <NA>       NA     <NA> #> 53  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 54        <NA>                <NA>                <NA>       NA     <NA> #> 55  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 56        <NA>                <NA>                <NA>       NA     <NA> #> 57        <NA>                <NA>                <NA>       NA     <NA> #> 58        <NA>                <NA>                <NA>       NA     <NA> #> 59  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 60        <NA>                <NA>                <NA>       NA     <NA> #> 61        <NA>                <NA>                <NA>       NA     <NA> #> 62        <NA>                <NA>                <NA>       NA     <NA> #> 63  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 64        <NA>                <NA>                <NA>       NA     <NA> #> 65  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 66        <NA>                <NA>                <NA>       NA     <NA> #> 67        <NA>                <NA>                <NA>       NA     <NA> #> 68        <NA>                <NA>                <NA>       NA     <NA> #> 69  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 70        <NA>                <NA>                <NA>       NA     <NA> #> 71        <NA>                <NA>                <NA>       NA     <NA> #> 72        <NA>                <NA>                <NA>       NA     <NA> #> 73  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 74        <NA>                <NA>                <NA>       NA     <NA> #> 75  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 76        <NA>                <NA>                <NA>       NA     <NA> #> 77        <NA>                <NA>                <NA>       NA     <NA> #> 78        <NA>                <NA>                <NA>       NA     <NA> #> 79  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 80        <NA>                <NA>                <NA>       NA     <NA> #> 81        <NA>                <NA>                <NA>       NA     <NA> #> 82        <NA>                <NA>                <NA>       NA     <NA> #> 83  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 84        <NA>                <NA>                <NA>       NA     <NA> #> 85  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 86        <NA>                <NA>                <NA>       NA     <NA> #> 87        <NA>                <NA>                <NA>       NA     <NA> #> 88        <NA>                <NA>                <NA>       NA     <NA> #> 89  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 90        <NA>                <NA>                <NA>       NA     <NA> #> 91        <NA>                <NA>                <NA>       NA     <NA> #> 92        <NA>                <NA>                <NA>       NA     <NA> #> 93  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 94        <NA>                <NA>                <NA>       NA     <NA> #> 95  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 96        <NA>                <NA>                <NA>       NA     <NA> #> 97        <NA>                <NA>                <NA>       NA     <NA> #> 98        <NA>                <NA>                <NA>       NA     <NA> #> 99  2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 100       <NA>                <NA>                <NA>       NA     <NA> #> 101       <NA>                <NA>                <NA>       NA     <NA> #> 102       <NA>                <NA>                <NA>       NA     <NA> #> 103 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 104       <NA>                <NA>                <NA>       NA     <NA> #> 105 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 106       <NA>                <NA>                <NA>       NA     <NA> #> 107       <NA>                <NA>                <NA>       NA     <NA> #> 108       <NA>                <NA>                <NA>       NA     <NA> #> 109 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 110       <NA>                <NA>                <NA>       NA     <NA> #> 111       <NA>                <NA>                <NA>       NA     <NA> #> 112       <NA>                <NA>                <NA>       NA     <NA> #> 113 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 114       <NA>                <NA>                <NA>       NA     <NA> #> 115 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 116       <NA>                <NA>                <NA>       NA     <NA> #> 117       <NA>                <NA>                <NA>       NA     <NA> #> 118       <NA>                <NA>                <NA>       NA     <NA> #> 119 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 120       <NA>                <NA>                <NA>       NA     <NA> #> 121       <NA>                <NA>                <NA>       NA     <NA> #> 122       <NA>                <NA>                <NA>       NA     <NA> #> 123 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 124       <NA>                <NA>                <NA>       NA     <NA> #> 125 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 126       <NA>                <NA>                <NA>       NA     <NA> #> 127       <NA>                <NA>                <NA>       NA     <NA> #> 128       <NA>                <NA>                <NA>       NA     <NA> #> 129 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 130       <NA>                <NA>                <NA>       NA     <NA> #> 131       <NA>                <NA>                <NA>       NA     <NA> #> 132       <NA>                <NA>                <NA>       NA     <NA> #> 133 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 134       <NA>                <NA>                <NA>       NA     <NA> #> 135 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 136       <NA>                <NA>                <NA>       NA     <NA> #> 137       <NA>                <NA>                <NA>       NA     <NA> #> 138       <NA>                <NA>                <NA>       NA     <NA> #> 139 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 140       <NA>                <NA>                <NA>       NA     <NA> #> 141       <NA>                <NA>                <NA>       NA     <NA> #> 142       <NA>                <NA>                <NA>       NA     <NA> #> 143       <NA>                <NA>                <NA>       NA     <NA> #> 144       <NA>                <NA>                <NA>       NA     <NA> #> 145 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 146 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 147       <NA>                <NA>                <NA>       NA     <NA> #> 148       <NA>                <NA>                <NA>       NA     <NA> #> 149 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 150 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 151       <NA>                <NA>                <NA>       NA     <NA> #> 152       <NA>                <NA>                <NA>       NA     <NA> #> 153       <NA>                <NA>                <NA>       NA     <NA> #> 154       <NA>                <NA>                <NA>       NA     <NA> #> 155       <NA>                <NA>                <NA>       NA     <NA> #> 156       <NA>                <NA>                <NA>       NA     <NA> #> 157 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 158 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 159       <NA>                <NA>                <NA>       NA     <NA> #> 160       <NA>                <NA>                <NA>       NA     <NA> #> 161       <NA>                <NA>                <NA>       NA     <NA> #> 162       <NA>                <NA>                <NA>       NA     <NA> #> 163       <NA>                <NA>                <NA>       NA     <NA> #> 164       <NA>                <NA>                <NA>       NA     <NA> #> 165 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 166 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 167       <NA>                <NA>                <NA>       NA     <NA> #> 168       <NA>                <NA>                <NA>       NA     <NA> #> 169 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 170 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 171       <NA>                <NA>                <NA>       NA     <NA> #> 172       <NA>                <NA>                <NA>       NA     <NA> #> 173       <NA>                <NA>                <NA>       NA     <NA> #> 174       <NA>                <NA>                <NA>       NA     <NA> #> 175       <NA>                <NA>                <NA>       NA     <NA> #> 176       <NA>                <NA>                <NA>       NA     <NA> #> 177 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 178 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 179       <NA>                <NA>                <NA>       NA     <NA> #> 180       <NA>                <NA>                <NA>       NA     <NA> #> 181       <NA>                <NA>                <NA>       NA     <NA> #> 182       <NA>                <NA>                <NA>       NA     <NA> #> 183       <NA>                <NA>                <NA>       NA     <NA> #> 184       <NA>                <NA>                <NA>       NA     <NA> #> 185 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 186 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 187       <NA>                <NA>                <NA>       NA     <NA> #> 188       <NA>                <NA>                <NA>       NA     <NA> #> 189 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 190 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 191       <NA>                <NA>                <NA>       NA     <NA> #> 192       <NA>                <NA>                <NA>       NA     <NA> #> 193       <NA>                <NA>                <NA>       NA     <NA> #> 194       <NA>                <NA>                <NA>       NA     <NA> #> 195       <NA>                <NA>                <NA>       NA     <NA> #> 196       <NA>                <NA>                <NA>       NA     <NA> #> 197 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 198 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 199       <NA>                <NA>                <NA>       NA     <NA> #> 200       <NA>                <NA>                <NA>       NA     <NA> #> 201       <NA>                <NA>                <NA>       NA     <NA> #> 202       <NA>                <NA>                <NA>       NA     <NA> #> 203       <NA>                <NA>                <NA>       NA     <NA> #> 204       <NA>                <NA>                <NA>       NA     <NA> #> 205 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 206 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 207       <NA>                <NA>                <NA>       NA     <NA> #> 208       <NA>                <NA>                <NA>       NA     <NA> #> 209 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 210 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 211       <NA>                <NA>                <NA>       NA     <NA> #> 212       <NA>                <NA>                <NA>       NA     <NA> #> 213       <NA>                <NA>                <NA>       NA     <NA> #> 214       <NA>                <NA>                <NA>       NA     <NA> #> 215       <NA>                <NA>                <NA>       NA     <NA> #> 216       <NA>                <NA>                <NA>       NA     <NA> #> 217 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 218 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 219       <NA>                <NA>                <NA>       NA     <NA> #> 220       <NA>                <NA>                <NA>       NA     <NA> #> 221       <NA>                <NA>                <NA>       NA     <NA> #> 222       <NA>                <NA>                <NA>       NA     <NA> #> 223 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 224       <NA>                <NA>                <NA>       NA     <NA> #> 225 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 226       <NA>                <NA>                <NA>       NA     <NA> #> 227       <NA>                <NA>                <NA>       NA     <NA> #> 228       <NA>                <NA>                <NA>       NA     <NA> #> 229 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 230       <NA>                <NA>                <NA>       NA     <NA> #> 231       <NA>                <NA>                <NA>       NA     <NA> #> 232       <NA>                <NA>                <NA>       NA     <NA> #> 233 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 234       <NA>                <NA>                <NA>       NA     <NA> #> 235 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 236       <NA>                <NA>                <NA>       NA     <NA> #> 237       <NA>                <NA>                <NA>       NA     <NA> #> 238       <NA>                <NA>                <NA>       NA     <NA> #> 239 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 240       <NA>                <NA>                <NA>       NA     <NA> #> 241       <NA>                <NA>                <NA>       NA     <NA> #> 242       <NA>                <NA>                <NA>       NA     <NA> #> 243 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 244       <NA>                <NA>                <NA>       NA     <NA> #> 245 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 246       <NA>                <NA>                <NA>       NA     <NA> #> 247       <NA>                <NA>                <NA>       NA     <NA> #> 248       <NA>                <NA>                <NA>       NA     <NA> #> 249 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 250       <NA>                <NA>                <NA>       NA     <NA> #> 251       <NA>                <NA>                <NA>       NA     <NA> #> 252       <NA>                <NA>                <NA>       NA     <NA> #> 253 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 254       <NA>                <NA>                <NA>       NA     <NA> #> 255 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 256       <NA>                <NA>                <NA>       NA     <NA> #> 257       <NA>                <NA>                <NA>       NA     <NA> #> 258       <NA>                <NA>                <NA>       NA     <NA> #> 259 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 260       <NA>                <NA>                <NA>       NA     <NA> #> 261       <NA>                <NA>                <NA>       NA     <NA> #> 262       <NA>                <NA>                <NA>       NA     <NA> #> 263 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 264       <NA>                <NA>                <NA>       NA     <NA> #> 265 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 266       <NA>                <NA>                <NA>       NA     <NA> #> 267       <NA>                <NA>                <NA>       NA     <NA> #> 268       <NA>                <NA>                <NA>       NA     <NA> #> 269 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 270       <NA>                <NA>                <NA>       NA     <NA> #> 271       <NA>                <NA>                <NA>       NA     <NA> #> 272       <NA>                <NA>                <NA>       NA     <NA> #> 273 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 274       <NA>                <NA>                <NA>       NA     <NA> #> 275 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 276       <NA>                <NA>                <NA>       NA     <NA> #> 277       <NA>                <NA>                <NA>       NA     <NA> #> 278       <NA>                <NA>                <NA>       NA     <NA> #> 279 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 280       <NA>                <NA>                <NA>       NA     <NA> #> 281       <NA>                <NA>                <NA>       NA     <NA> #> 282       <NA>                <NA>                <NA>       NA     <NA> #> 283 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 284       <NA>                <NA>                <NA>       NA     <NA> #> 285 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 286       <NA>                <NA>                <NA>       NA     <NA> #> 287       <NA>                <NA>                <NA>       NA     <NA> #> 288       <NA>                <NA>                <NA>       NA     <NA> #> 289 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 290       <NA>                <NA>                <NA>       NA     <NA> #> 291       <NA>                <NA>                <NA>       NA     <NA> #> 292       <NA>                <NA>                <NA>       NA     <NA> #> 293 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 294       <NA>                <NA>                <NA>       NA     <NA> #> 295 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 296       <NA>                <NA>                <NA>       NA     <NA> #> 297       <NA>                <NA>                <NA>       NA     <NA> #> 298       <NA>                <NA>                <NA>       NA     <NA> #> 299 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 300       <NA>                <NA>                <NA>       NA     <NA> #> 301       <NA>                <NA>                <NA>       NA     <NA> #> 302       <NA>                <NA>                <NA>       NA     <NA> #> 303 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 304       <NA>                <NA>                <NA>       NA     <NA> #> 305 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 306       <NA>                <NA>                <NA>       NA     <NA> #> 307       <NA>                <NA>                <NA>       NA     <NA> #> 308       <NA>                <NA>                <NA>       NA     <NA> #> 309 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 310       <NA>                <NA>                <NA>       NA     <NA> #> 311       <NA>                <NA>                <NA>       NA     <NA> #> 312       <NA>                <NA>                <NA>       NA     <NA> #> 313 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 314       <NA>                <NA>                <NA>       NA     <NA> #> 315 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 316       <NA>                <NA>                <NA>       NA     <NA> #> 317       <NA>                <NA>                <NA>       NA     <NA> #> 318       <NA>                <NA>                <NA>       NA     <NA> #> 319 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 320       <NA>                <NA>                <NA>       NA     <NA> #> 321       <NA>                <NA>                <NA>       NA     <NA> #> 322       <NA>                <NA>                <NA>       NA     <NA> #> 323 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 324       <NA>                <NA>                <NA>       NA     <NA> #> 325 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 326       <NA>                <NA>                <NA>       NA     <NA> #> 327       <NA>                <NA>                <NA>       NA     <NA> #> 328       <NA>                <NA>                <NA>       NA     <NA> #> 329 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 330       <NA>                <NA>                <NA>       NA     <NA> #> 331       <NA>                <NA>                <NA>       NA     <NA> #> 332       <NA>                <NA>                <NA>       NA     <NA> #> 333 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 334       <NA>                <NA>                <NA>       NA     <NA> #> 335 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 336       <NA>                <NA>                <NA>       NA     <NA> #> 337       <NA>                <NA>                <NA>       NA     <NA> #> 338       <NA>                <NA>                <NA>       NA     <NA> #> 339 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 340       <NA>                <NA>                <NA>       NA     <NA> #> 341       <NA>                <NA>                <NA>       NA     <NA> #> 342       <NA>                <NA>                <NA>       NA     <NA> #> 343 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 344       <NA>                <NA>                <NA>       NA     <NA> #> 345 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 346       <NA>                <NA>                <NA>       NA     <NA> #> 347       <NA>                <NA>                <NA>       NA     <NA> #> 348       <NA>                <NA>                <NA>       NA     <NA> #> 349 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 350       <NA>                <NA>                <NA>       NA     <NA> #> 351       <NA>                <NA>                <NA>       NA     <NA> #> 352       <NA>                <NA>                <NA>       NA     <NA> #> 353 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 354       <NA>                <NA>                <NA>       NA     <NA> #> 355 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 356       <NA>                <NA>                <NA>       NA     <NA> #> 357       <NA>                <NA>                <NA>       NA     <NA> #> 358       <NA>                <NA>                <NA>       NA     <NA> #> 359 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 360       <NA>                <NA>                <NA>       NA     <NA> #> 361       <NA>                <NA>                <NA>       NA     <NA> #> 362       <NA>                <NA>                <NA>       NA     <NA> #> 363       <NA>                <NA>                <NA>       NA     <NA> #> 364       <NA>                <NA>                <NA>       NA     <NA> #> 365 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 366 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 367       <NA>                <NA>                <NA>       NA     <NA> #> 368       <NA>                <NA>                <NA>       NA     <NA> #> 369 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 370 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 371       <NA>                <NA>                <NA>       NA     <NA> #> 372       <NA>                <NA>                <NA>       NA     <NA> #> 373       <NA>                <NA>                <NA>       NA     <NA> #> 374       <NA>                <NA>                <NA>       NA     <NA> #> 375       <NA>                <NA>                <NA>       NA     <NA> #> 376       <NA>                <NA>                <NA>       NA     <NA> #> 377 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 378 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 379       <NA>                <NA>                <NA>       NA     <NA> #> 380       <NA>                <NA>                <NA>       NA     <NA> #> 381       <NA>                <NA>                <NA>       NA     <NA> #> 382       <NA>                <NA>                <NA>       NA     <NA> #> 383       <NA>                <NA>                <NA>       NA     <NA> #> 384       <NA>                <NA>                <NA>       NA     <NA> #> 385 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 386 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 387       <NA>                <NA>                <NA>       NA     <NA> #> 388       <NA>                <NA>                <NA>       NA     <NA> #> 389 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 390 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 391       <NA>                <NA>                <NA>       NA     <NA> #> 392       <NA>                <NA>                <NA>       NA     <NA> #> 393       <NA>                <NA>                <NA>       NA     <NA> #> 394       <NA>                <NA>                <NA>       NA     <NA> #> 395       <NA>                <NA>                <NA>       NA     <NA> #> 396       <NA>                <NA>                <NA>       NA     <NA> #> 397 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 398 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 399       <NA>                <NA>                <NA>       NA     <NA> #> 400       <NA>                <NA>                <NA>       NA     <NA> #> 401       <NA>                <NA>                <NA>       NA     <NA> #> 402       <NA>                <NA>                <NA>       NA     <NA> #> 403       <NA>                <NA>                <NA>       NA     <NA> #> 404       <NA>                <NA>                <NA>       NA     <NA> #> 405 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 406 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 407       <NA>                <NA>                <NA>       NA     <NA> #> 408       <NA>                <NA>                <NA>       NA     <NA> #> 409 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 410 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 411       <NA>                <NA>                <NA>       NA     <NA> #> 412       <NA>                <NA>                <NA>       NA     <NA> #> 413       <NA>                <NA>                <NA>       NA     <NA> #> 414       <NA>                <NA>                <NA>       NA     <NA> #> 415       <NA>                <NA>                <NA>       NA     <NA> #> 416       <NA>                <NA>                <NA>       NA     <NA> #> 417 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 418 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 419       <NA>                <NA>                <NA>       NA     <NA> #> 420       <NA>                <NA>                <NA>       NA     <NA> #> 421       <NA>                <NA>                <NA>       NA     <NA> #> 422       <NA>                <NA>                <NA>       NA     <NA> #> 423       <NA>                <NA>                <NA>       NA     <NA> #> 424       <NA>                <NA>                <NA>       NA     <NA> #> 425 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 426 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 427       <NA>                <NA>                <NA>       NA     <NA> #> 428       <NA>                <NA>                <NA>       NA     <NA> #> 429 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 430 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 431       <NA>                <NA>                <NA>       NA     <NA> #> 432       <NA>                <NA>                <NA>       NA     <NA> #> 433       <NA>                <NA>                <NA>       NA     <NA> #> 434       <NA>                <NA>                <NA>       NA     <NA> #> 435       <NA>                <NA>                <NA>       NA     <NA> #> 436       <NA>                <NA>                <NA>       NA     <NA> #> 437 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 438 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 439       <NA>                <NA>                <NA>       NA     <NA> #> 440       <NA>                <NA>                <NA>       NA     <NA> #> 441       <NA>                <NA>                <NA>       NA     <NA> #> 442       <NA>                <NA>                <NA>       NA     <NA> #> 443 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 444       <NA>                <NA>                <NA>       NA     <NA> #> 445 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 446       <NA>                <NA>                <NA>       NA     <NA> #> 447       <NA>                <NA>                <NA>       NA     <NA> #> 448       <NA>                <NA>                <NA>       NA     <NA> #> 449 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 450       <NA>                <NA>                <NA>       NA     <NA> #> 451       <NA>                <NA>                <NA>       NA     <NA> #> 452       <NA>                <NA>                <NA>       NA     <NA> #> 453 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 454       <NA>                <NA>                <NA>       NA     <NA> #> 455 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 456       <NA>                <NA>                <NA>       NA     <NA> #> 457       <NA>                <NA>                <NA>       NA     <NA> #> 458       <NA>                <NA>                <NA>       NA     <NA> #> 459 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 460       <NA>                <NA>                <NA>       NA     <NA> #> 461       <NA>                <NA>                <NA>       NA     <NA> #> 462       <NA>                <NA>                <NA>       NA     <NA> #> 463 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 464       <NA>                <NA>                <NA>       NA     <NA> #> 465 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 466       <NA>                <NA>                <NA>       NA     <NA> #> 467       <NA>                <NA>                <NA>       NA     <NA> #> 468       <NA>                <NA>                <NA>       NA     <NA> #> 469 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 470       <NA>                <NA>                <NA>       NA     <NA> #> 471       <NA>                <NA>                <NA>       NA     <NA> #> 472       <NA>                <NA>                <NA>       NA     <NA> #> 473 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 474       <NA>                <NA>                <NA>       NA     <NA> #> 475 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 476       <NA>                <NA>                <NA>       NA     <NA> #> 477       <NA>                <NA>                <NA>       NA     <NA> #> 478       <NA>                <NA>                <NA>       NA     <NA> #> 479 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 480       <NA>                <NA>                <NA>       NA     <NA> #> 481       <NA>                <NA>                <NA>       NA     <NA> #> 482       <NA>                <NA>                <NA>       NA     <NA> #> 483 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 484       <NA>                <NA>                <NA>       NA     <NA> #> 485 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 486       <NA>                <NA>                <NA>       NA     <NA> #> 487       <NA>                <NA>                <NA>       NA     <NA> #> 488       <NA>                <NA>                <NA>       NA     <NA> #> 489 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 490       <NA>                <NA>                <NA>       NA     <NA> #> 491       <NA>                <NA>                <NA>       NA     <NA> #> 492       <NA>                <NA>                <NA>       NA     <NA> #> 493 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 494       <NA>                <NA>                <NA>       NA     <NA> #> 495 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 496       <NA>                <NA>                <NA>       NA     <NA> #> 497       <NA>                <NA>                <NA>       NA     <NA> #> 498       <NA>                <NA>                <NA>       NA     <NA> #> 499 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 500       <NA>                <NA>                <NA>       NA     <NA> #> 501       <NA>                <NA>                <NA>       NA     <NA> #> 502       <NA>                <NA>                <NA>       NA     <NA> #> 503 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 504       <NA>                <NA>                <NA>       NA     <NA> #> 505 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 506       <NA>                <NA>                <NA>       NA     <NA> #> 507       <NA>                <NA>                <NA>       NA     <NA> #> 508       <NA>                <NA>                <NA>       NA     <NA> #> 509 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 510       <NA>                <NA>                <NA>       NA     <NA> #> 511       <NA>                <NA>                <NA>       NA     <NA> #> 512       <NA>                <NA>                <NA>       NA     <NA> #> 513 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 514       <NA>                <NA>                <NA>       NA     <NA> #> 515 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 516       <NA>                <NA>                <NA>       NA     <NA> #> 517       <NA>                <NA>                <NA>       NA     <NA> #> 518       <NA>                <NA>                <NA>       NA     <NA> #> 519 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 520       <NA>                <NA>                <NA>       NA     <NA> #> 521       <NA>                <NA>                <NA>       NA     <NA> #> 522       <NA>                <NA>                <NA>       NA     <NA> #> 523 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 524       <NA>                <NA>                <NA>       NA     <NA> #> 525 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 526       <NA>                <NA>                <NA>       NA     <NA> #> 527       <NA>                <NA>                <NA>       NA     <NA> #> 528       <NA>                <NA>                <NA>       NA     <NA> #> 529 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 530       <NA>                <NA>                <NA>       NA     <NA> #> 531       <NA>                <NA>                <NA>       NA     <NA> #> 532       <NA>                <NA>                <NA>       NA     <NA> #> 533 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 534       <NA>                <NA>                <NA>       NA     <NA> #> 535 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 536       <NA>                <NA>                <NA>       NA     <NA> #> 537       <NA>                <NA>                <NA>       NA     <NA> #> 538       <NA>                <NA>                <NA>       NA     <NA> #> 539 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 540       <NA>                <NA>                <NA>       NA     <NA> #> 541       <NA>                <NA>                <NA>       NA     <NA> #> 542       <NA>                <NA>                <NA>       NA     <NA> #> 543 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 544       <NA>                <NA>                <NA>       NA     <NA> #> 545 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 546       <NA>                <NA>                <NA>       NA     <NA> #> 547       <NA>                <NA>                <NA>       NA     <NA> #> 548       <NA>                <NA>                <NA>       NA     <NA> #> 549 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 550       <NA>                <NA>                <NA>       NA     <NA> #> 551       <NA>                <NA>                <NA>       NA     <NA> #> 552       <NA>                <NA>                <NA>       NA     <NA> #> 553 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 554       <NA>                <NA>                <NA>       NA     <NA> #> 555 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 556       <NA>                <NA>                <NA>       NA     <NA> #> 557       <NA>                <NA>                <NA>       NA     <NA> #> 558       <NA>                <NA>                <NA>       NA     <NA> #> 559 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 560       <NA>                <NA>                <NA>       NA     <NA> #> 561       <NA>                <NA>                <NA>       NA     <NA> #> 562       <NA>                <NA>                <NA>       NA     <NA> #> 563 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 564       <NA>                <NA>                <NA>       NA     <NA> #> 565 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 566       <NA>                <NA>                <NA>       NA     <NA> #> 567       <NA>                <NA>                <NA>       NA     <NA> #> 568       <NA>                <NA>                <NA>       NA     <NA> #> 569 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 570       <NA>                <NA>                <NA>       NA     <NA> #> 571       <NA>                <NA>                <NA>       NA     <NA> #> 572       <NA>                <NA>                <NA>       NA     <NA> #> 573 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 574       <NA>                <NA>                <NA>       NA     <NA> #> 575 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 576       <NA>                <NA>                <NA>       NA     <NA> #> 577       <NA>                <NA>                <NA>       NA     <NA> #> 578       <NA>                <NA>                <NA>       NA     <NA> #> 579 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 580       <NA>                <NA>                <NA>       NA     <NA> #> 581       <NA>                <NA>                <NA>       NA     <NA> #> 582       <NA>                <NA>                <NA>       NA     <NA> #> 583       <NA>                <NA>                <NA>       NA     <NA> #> 584       <NA>                <NA>                <NA>       NA     <NA> #> 585 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 586 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 587       <NA>                <NA>                <NA>       NA     <NA> #> 588       <NA>                <NA>                <NA>       NA     <NA> #> 589 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 590 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 591       <NA>                <NA>                <NA>       NA     <NA> #> 592       <NA>                <NA>                <NA>       NA     <NA> #> 593       <NA>                <NA>                <NA>       NA     <NA> #> 594       <NA>                <NA>                <NA>       NA     <NA> #> 595       <NA>                <NA>                <NA>       NA     <NA> #> 596       <NA>                <NA>                <NA>       NA     <NA> #> 597 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 598 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 599       <NA>                <NA>                <NA>       NA     <NA> #> 600       <NA>                <NA>                <NA>       NA     <NA> #> 601       <NA>                <NA>                <NA>       NA     <NA> #> 602       <NA>                <NA>                <NA>       NA     <NA> #> 603       <NA>                <NA>                <NA>       NA     <NA> #> 604       <NA>                <NA>                <NA>       NA     <NA> #> 605 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 606 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 607       <NA>                <NA>                <NA>       NA     <NA> #> 608       <NA>                <NA>                <NA>       NA     <NA> #> 609 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 610 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 611       <NA>                <NA>                <NA>       NA     <NA> #> 612       <NA>                <NA>                <NA>       NA     <NA> #> 613       <NA>                <NA>                <NA>       NA     <NA> #> 614       <NA>                <NA>                <NA>       NA     <NA> #> 615       <NA>                <NA>                <NA>       NA     <NA> #> 616       <NA>                <NA>                <NA>       NA     <NA> #> 617 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 618 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 619       <NA>                <NA>                <NA>       NA     <NA> #> 620       <NA>                <NA>                <NA>       NA     <NA> #> 621       <NA>                <NA>                <NA>       NA     <NA> #> 622       <NA>                <NA>                <NA>       NA     <NA> #> 623       <NA>                <NA>                <NA>       NA     <NA> #> 624       <NA>                <NA>                <NA>       NA     <NA> #> 625 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 626 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 627       <NA>                <NA>                <NA>       NA     <NA> #> 628       <NA>                <NA>                <NA>       NA     <NA> #> 629 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 630 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 631       <NA>                <NA>                <NA>       NA     <NA> #> 632       <NA>                <NA>                <NA>       NA     <NA> #> 633       <NA>                <NA>                <NA>       NA     <NA> #> 634       <NA>                <NA>                <NA>       NA     <NA> #> 635       <NA>                <NA>                <NA>       NA     <NA> #> 636       <NA>                <NA>                <NA>       NA     <NA> #> 637 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 638 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 639       <NA>                <NA>                <NA>       NA     <NA> #> 640       <NA>                <NA>                <NA>       NA     <NA> #> 641       <NA>                <NA>                <NA>       NA     <NA> #> 642       <NA>                <NA>                <NA>       NA     <NA> #> 643       <NA>                <NA>                <NA>       NA     <NA> #> 644       <NA>                <NA>                <NA>       NA     <NA> #> 645 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 646 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 647       <NA>                <NA>                <NA>       NA     <NA> #> 648       <NA>                <NA>                <NA>       NA     <NA> #> 649 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 650 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 651       <NA>                <NA>                <NA>       NA     <NA> #> 652       <NA>                <NA>                <NA>       NA     <NA> #> 653       <NA>                <NA>                <NA>       NA     <NA> #> 654       <NA>                <NA>                <NA>       NA     <NA> #> 655       <NA>                <NA>                <NA>       NA     <NA> #> 656       <NA>                <NA>                <NA>       NA     <NA> #> 657 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 658 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 659       <NA>                <NA>                <NA>       NA     <NA> #> 660       <NA>                <NA>                <NA>       NA     <NA> #>       LSTALVDT DTHADY ADTHAUT             PPCAT       PPSPEC #> 1   2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 2   2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 3   2021-11-23    671     Yes     Plasma Drug X       Plasma #> 4         <NA>     NA    <NA>     Plasma Drug X       Plasma #> 5   2021-09-27    512     Yes     Plasma Drug X       Plasma #> 6   2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 7   2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 8   2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 9   2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 10  2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 11  2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 12  2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 13  2021-11-23    671     Yes Metabolite Drug X       Plasma #> 14        <NA>     NA    <NA> Metabolite Drug X       Plasma #> 15  2021-09-27    512     Yes Metabolite Drug X       Plasma #> 16  2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 17  2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 18  2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 19  2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 20  2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 21  2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 22  2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 23  2021-11-23    671     Yes     Plasma Drug X       Plasma #> 24        <NA>     NA    <NA>     Plasma Drug X       Plasma #> 25  2021-09-27    512     Yes     Plasma Drug X       Plasma #> 26  2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 27  2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 28  2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 29  2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 30  2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 31  2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 32  2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 33  2021-11-23    671     Yes Metabolite Drug X       Plasma #> 34        <NA>     NA    <NA> Metabolite Drug X       Plasma #> 35  2021-09-27    512     Yes Metabolite Drug X       Plasma #> 36  2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 37  2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 38  2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 39  2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 40  2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 41  2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 42  2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 43  2021-11-23    671     Yes     Plasma Drug X       Plasma #> 44        <NA>     NA    <NA>     Plasma Drug X       Plasma #> 45  2021-09-27    512     Yes     Plasma Drug X       Plasma #> 46  2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 47  2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 48  2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 49  2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 50  2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 51  2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 52  2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 53  2021-11-23    671     Yes Metabolite Drug X       Plasma #> 54        <NA>     NA    <NA> Metabolite Drug X       Plasma #> 55  2021-09-27    512     Yes Metabolite Drug X       Plasma #> 56  2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 57  2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 58  2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 59  2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 60  2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 61  2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 62  2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 63  2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 64        <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 65  2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 66  2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 67  2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 68  2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 69  2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 70  2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 71  2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 72  2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 73  2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 74        <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 75  2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 76  2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 77  2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 78  2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 79  2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 80  2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 81  2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 82  2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 83  2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 84        <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 85  2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 86  2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 87  2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 88  2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 89  2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 90  2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 91  2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 92  2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 93  2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 94        <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 95  2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 96  2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 97  2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 98  2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 99  2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 100 2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 101 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 102 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 103 2021-11-23    671     Yes     Plasma Drug X        Urine #> 104       <NA>     NA    <NA>     Plasma Drug X        Urine #> 105 2021-09-27    512     Yes     Plasma Drug X        Urine #> 106 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 107 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 108 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 109 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 110 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 111 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 112 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 113 2021-11-23    671     Yes Metabolite Drug X        Urine #> 114       <NA>     NA    <NA> Metabolite Drug X        Urine #> 115 2021-09-27    512     Yes Metabolite Drug X        Urine #> 116 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 117 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 118 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 119 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 120 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 121 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 122 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 123 2021-11-23    671     Yes     Plasma Drug X        Urine #> 124       <NA>     NA    <NA>     Plasma Drug X        Urine #> 125 2021-09-27    512     Yes     Plasma Drug X        Urine #> 126 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 127 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 128 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 129 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 130 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 131 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 132 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 133 2021-11-23    671     Yes Metabolite Drug X        Urine #> 134       <NA>     NA    <NA> Metabolite Drug X        Urine #> 135 2021-09-27    512     Yes Metabolite Drug X        Urine #> 136 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 137 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 138 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 139 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 140 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 141 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 142 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 143 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 144 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 145 2021-11-23    671     Yes     Plasma Drug X        Urine #> 146 2021-11-23    671     Yes     Plasma Drug X        Urine #> 147       <NA>     NA    <NA>     Plasma Drug X        Urine #> 148       <NA>     NA    <NA>     Plasma Drug X        Urine #> 149 2021-09-27    512     Yes     Plasma Drug X        Urine #> 150 2021-09-27    512     Yes     Plasma Drug X        Urine #> 151 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 152 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 153 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 154 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 155 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 156 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 157 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 158 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 159 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 160 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 161 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 162 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 163 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 164 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 165 2021-11-23    671     Yes Metabolite Drug X        Urine #> 166 2021-11-23    671     Yes Metabolite Drug X        Urine #> 167       <NA>     NA    <NA> Metabolite Drug X        Urine #> 168       <NA>     NA    <NA> Metabolite Drug X        Urine #> 169 2021-09-27    512     Yes Metabolite Drug X        Urine #> 170 2021-09-27    512     Yes Metabolite Drug X        Urine #> 171 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 172 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 173 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 174 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 175 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 176 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 177 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 178 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 179 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 180 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 181 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 182 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 183 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 184 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 185 2021-11-23    671     Yes     Plasma Drug X        Urine #> 186 2021-11-23    671     Yes     Plasma Drug X        Urine #> 187       <NA>     NA    <NA>     Plasma Drug X        Urine #> 188       <NA>     NA    <NA>     Plasma Drug X        Urine #> 189 2021-09-27    512     Yes     Plasma Drug X        Urine #> 190 2021-09-27    512     Yes     Plasma Drug X        Urine #> 191 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 192 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 193 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 194 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 195 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 196 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 197 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 198 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 199 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 200 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 201 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 202 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 203 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 204 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 205 2021-11-23    671     Yes Metabolite Drug X        Urine #> 206 2021-11-23    671     Yes Metabolite Drug X        Urine #> 207       <NA>     NA    <NA> Metabolite Drug X        Urine #> 208       <NA>     NA    <NA> Metabolite Drug X        Urine #> 209 2021-09-27    512     Yes Metabolite Drug X        Urine #> 210 2021-09-27    512     Yes Metabolite Drug X        Urine #> 211 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 212 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 213 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 214 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 215 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 216 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 217 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 218 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 219 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 220 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 221 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 222 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 223 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 224       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 225 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 226 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 227 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 228 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 229 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 230 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 231 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 232 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 233 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 234       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 235 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 236 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 237 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 238 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 239 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 240 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 241 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 242 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 243 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 244       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 245 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 246 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 247 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 248 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 249 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 250 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 251 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 252 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 253 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 254       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 255 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 256 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 257 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 258 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 259 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 260 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 261 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 262 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 263 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 264       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 265 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 266 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 267 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 268 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 269 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 270 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 271 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 272 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 273 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 274       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 275 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 276 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 277 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 278 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 279 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 280 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 281 2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 282 2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 283 2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 284       <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 285 2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 286 2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 287 2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 288 2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 289 2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 290 2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 291 2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 292 2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 293 2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 294       <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 295 2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 296 2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 297 2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 298 2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 299 2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 300 2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 301 2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 302 2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 303 2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 304       <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 305 2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 306 2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 307 2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 308 2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 309 2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 310 2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 311 2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 312 2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 313 2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 314       <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 315 2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 316 2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 317 2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 318 2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 319 2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 320 2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 321 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 322 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 323 2021-11-23    671     Yes     Plasma Drug X        Urine #> 324       <NA>     NA    <NA>     Plasma Drug X        Urine #> 325 2021-09-27    512     Yes     Plasma Drug X        Urine #> 326 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 327 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 328 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 329 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 330 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 331 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 332 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 333 2021-11-23    671     Yes Metabolite Drug X        Urine #> 334       <NA>     NA    <NA> Metabolite Drug X        Urine #> 335 2021-09-27    512     Yes Metabolite Drug X        Urine #> 336 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 337 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 338 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 339 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 340 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 341 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 342 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 343 2021-11-23    671     Yes     Plasma Drug X        Urine #> 344       <NA>     NA    <NA>     Plasma Drug X        Urine #> 345 2021-09-27    512     Yes     Plasma Drug X        Urine #> 346 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 347 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 348 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 349 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 350 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 351 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 352 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 353 2021-11-23    671     Yes Metabolite Drug X        Urine #> 354       <NA>     NA    <NA> Metabolite Drug X        Urine #> 355 2021-09-27    512     Yes Metabolite Drug X        Urine #> 356 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 357 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 358 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 359 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 360 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 361 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 362 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 363 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 364 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 365 2021-11-23    671     Yes     Plasma Drug X        Urine #> 366 2021-11-23    671     Yes     Plasma Drug X        Urine #> 367       <NA>     NA    <NA>     Plasma Drug X        Urine #> 368       <NA>     NA    <NA>     Plasma Drug X        Urine #> 369 2021-09-27    512     Yes     Plasma Drug X        Urine #> 370 2021-09-27    512     Yes     Plasma Drug X        Urine #> 371 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 372 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 373 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 374 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 375 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 376 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 377 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 378 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 379 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 380 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 381 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 382 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 383 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 384 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 385 2021-11-23    671     Yes Metabolite Drug X        Urine #> 386 2021-11-23    671     Yes Metabolite Drug X        Urine #> 387       <NA>     NA    <NA> Metabolite Drug X        Urine #> 388       <NA>     NA    <NA> Metabolite Drug X        Urine #> 389 2021-09-27    512     Yes Metabolite Drug X        Urine #> 390 2021-09-27    512     Yes Metabolite Drug X        Urine #> 391 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 392 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 393 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 394 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 395 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 396 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 397 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 398 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 399 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 400 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 401 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 402 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 403 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 404 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 405 2021-11-23    671     Yes     Plasma Drug X        Urine #> 406 2021-11-23    671     Yes     Plasma Drug X        Urine #> 407       <NA>     NA    <NA>     Plasma Drug X        Urine #> 408       <NA>     NA    <NA>     Plasma Drug X        Urine #> 409 2021-09-27    512     Yes     Plasma Drug X        Urine #> 410 2021-09-27    512     Yes     Plasma Drug X        Urine #> 411 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 412 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 413 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 414 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 415 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 416 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 417 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 418 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 419 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 420 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 421 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 422 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 423 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 424 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 425 2021-11-23    671     Yes Metabolite Drug X        Urine #> 426 2021-11-23    671     Yes Metabolite Drug X        Urine #> 427       <NA>     NA    <NA> Metabolite Drug X        Urine #> 428       <NA>     NA    <NA> Metabolite Drug X        Urine #> 429 2021-09-27    512     Yes Metabolite Drug X        Urine #> 430 2021-09-27    512     Yes Metabolite Drug X        Urine #> 431 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 432 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 433 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 434 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 435 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 436 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 437 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 438 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 439 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 440 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 441 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 442 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 443 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 444       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 445 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 446 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 447 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 448 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 449 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 450 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 451 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 452 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 453 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 454       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 455 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 456 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 457 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 458 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 459 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 460 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 461 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 462 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 463 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 464       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 465 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 466 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 467 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 468 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 469 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 470 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 471 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 472 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 473 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 474       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 475 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 476 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 477 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 478 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 479 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 480 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 481 2022-10-09     NA    <NA>     Plasma Drug X       Plasma #> 482 2022-10-30     NA    <NA>     Plasma Drug X       Plasma #> 483 2021-11-23    671     Yes     Plasma Drug X       Plasma #> 484       <NA>     NA    <NA>     Plasma Drug X       Plasma #> 485 2021-09-27    512     Yes     Plasma Drug X       Plasma #> 486 2023-07-10     NA    <NA>     Plasma Drug X       Plasma #> 487 2023-11-13     NA    <NA>     Plasma Drug X       Plasma #> 488 2024-02-10     NA    <NA>     Plasma Drug X       Plasma #> 489 2021-09-27    512     Yes     Plasma Drug Y       Plasma #> 490 2024-02-10     NA    <NA>     Plasma Drug Y       Plasma #> 491 2022-10-09     NA    <NA> Metabolite Drug X       Plasma #> 492 2022-10-30     NA    <NA> Metabolite Drug X       Plasma #> 493 2021-11-23    671     Yes Metabolite Drug X       Plasma #> 494       <NA>     NA    <NA> Metabolite Drug X       Plasma #> 495 2021-09-27    512     Yes Metabolite Drug X       Plasma #> 496 2023-07-10     NA    <NA> Metabolite Drug X       Plasma #> 497 2023-11-13     NA    <NA> Metabolite Drug X       Plasma #> 498 2024-02-10     NA    <NA> Metabolite Drug X       Plasma #> 499 2021-09-27    512     Yes Metabolite Drug Y       Plasma #> 500 2024-02-10     NA    <NA> Metabolite Drug Y       Plasma #> 501 2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 502 2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 503 2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 504       <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 505 2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 506 2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 507 2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 508 2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 509 2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 510 2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 511 2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 512 2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 513 2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 514       <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 515 2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 516 2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 517 2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 518 2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 519 2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 520 2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 521 2022-10-09     NA    <NA>     Plasma Drug X Matrix of PD #> 522 2022-10-30     NA    <NA>     Plasma Drug X Matrix of PD #> 523 2021-11-23    671     Yes     Plasma Drug X Matrix of PD #> 524       <NA>     NA    <NA>     Plasma Drug X Matrix of PD #> 525 2021-09-27    512     Yes     Plasma Drug X Matrix of PD #> 526 2023-07-10     NA    <NA>     Plasma Drug X Matrix of PD #> 527 2023-11-13     NA    <NA>     Plasma Drug X Matrix of PD #> 528 2024-02-10     NA    <NA>     Plasma Drug X Matrix of PD #> 529 2021-09-27    512     Yes     Plasma Drug Y Matrix of PD #> 530 2024-02-10     NA    <NA>     Plasma Drug Y Matrix of PD #> 531 2022-10-09     NA    <NA> Metabolite Drug X Matrix of PD #> 532 2022-10-30     NA    <NA> Metabolite Drug X Matrix of PD #> 533 2021-11-23    671     Yes Metabolite Drug X Matrix of PD #> 534       <NA>     NA    <NA> Metabolite Drug X Matrix of PD #> 535 2021-09-27    512     Yes Metabolite Drug X Matrix of PD #> 536 2023-07-10     NA    <NA> Metabolite Drug X Matrix of PD #> 537 2023-11-13     NA    <NA> Metabolite Drug X Matrix of PD #> 538 2024-02-10     NA    <NA> Metabolite Drug X Matrix of PD #> 539 2021-09-27    512     Yes Metabolite Drug Y Matrix of PD #> 540 2024-02-10     NA    <NA> Metabolite Drug Y Matrix of PD #> 541 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 542 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 543 2021-11-23    671     Yes     Plasma Drug X        Urine #> 544       <NA>     NA    <NA>     Plasma Drug X        Urine #> 545 2021-09-27    512     Yes     Plasma Drug X        Urine #> 546 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 547 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 548 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 549 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 550 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 551 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 552 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 553 2021-11-23    671     Yes Metabolite Drug X        Urine #> 554       <NA>     NA    <NA> Metabolite Drug X        Urine #> 555 2021-09-27    512     Yes Metabolite Drug X        Urine #> 556 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 557 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 558 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 559 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 560 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 561 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 562 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 563 2021-11-23    671     Yes     Plasma Drug X        Urine #> 564       <NA>     NA    <NA>     Plasma Drug X        Urine #> 565 2021-09-27    512     Yes     Plasma Drug X        Urine #> 566 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 567 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 568 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 569 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 570 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 571 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 572 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 573 2021-11-23    671     Yes Metabolite Drug X        Urine #> 574       <NA>     NA    <NA> Metabolite Drug X        Urine #> 575 2021-09-27    512     Yes Metabolite Drug X        Urine #> 576 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 577 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 578 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 579 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 580 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 581 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 582 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 583 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 584 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 585 2021-11-23    671     Yes     Plasma Drug X        Urine #> 586 2021-11-23    671     Yes     Plasma Drug X        Urine #> 587       <NA>     NA    <NA>     Plasma Drug X        Urine #> 588       <NA>     NA    <NA>     Plasma Drug X        Urine #> 589 2021-09-27    512     Yes     Plasma Drug X        Urine #> 590 2021-09-27    512     Yes     Plasma Drug X        Urine #> 591 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 592 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 593 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 594 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 595 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 596 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 597 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 598 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 599 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 600 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 601 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 602 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 603 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 604 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 605 2021-11-23    671     Yes Metabolite Drug X        Urine #> 606 2021-11-23    671     Yes Metabolite Drug X        Urine #> 607       <NA>     NA    <NA> Metabolite Drug X        Urine #> 608       <NA>     NA    <NA> Metabolite Drug X        Urine #> 609 2021-09-27    512     Yes Metabolite Drug X        Urine #> 610 2021-09-27    512     Yes Metabolite Drug X        Urine #> 611 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 612 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 613 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 614 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 615 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 616 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 617 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 618 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 619 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 620 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 621 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 622 2022-10-09     NA    <NA>     Plasma Drug X        Urine #> 623 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 624 2022-10-30     NA    <NA>     Plasma Drug X        Urine #> 625 2021-11-23    671     Yes     Plasma Drug X        Urine #> 626 2021-11-23    671     Yes     Plasma Drug X        Urine #> 627       <NA>     NA    <NA>     Plasma Drug X        Urine #> 628       <NA>     NA    <NA>     Plasma Drug X        Urine #> 629 2021-09-27    512     Yes     Plasma Drug X        Urine #> 630 2021-09-27    512     Yes     Plasma Drug X        Urine #> 631 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 632 2023-07-10     NA    <NA>     Plasma Drug X        Urine #> 633 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 634 2023-11-13     NA    <NA>     Plasma Drug X        Urine #> 635 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 636 2024-02-10     NA    <NA>     Plasma Drug X        Urine #> 637 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 638 2021-09-27    512     Yes     Plasma Drug Y        Urine #> 639 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 640 2024-02-10     NA    <NA>     Plasma Drug Y        Urine #> 641 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 642 2022-10-09     NA    <NA> Metabolite Drug X        Urine #> 643 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 644 2022-10-30     NA    <NA> Metabolite Drug X        Urine #> 645 2021-11-23    671     Yes Metabolite Drug X        Urine #> 646 2021-11-23    671     Yes Metabolite Drug X        Urine #> 647       <NA>     NA    <NA> Metabolite Drug X        Urine #> 648       <NA>     NA    <NA> Metabolite Drug X        Urine #> 649 2021-09-27    512     Yes Metabolite Drug X        Urine #> 650 2021-09-27    512     Yes Metabolite Drug X        Urine #> 651 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 652 2023-07-10     NA    <NA> Metabolite Drug X        Urine #> 653 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 654 2023-11-13     NA    <NA> Metabolite Drug X        Urine #> 655 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 656 2024-02-10     NA    <NA> Metabolite Drug X        Urine #> 657 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 658 2021-09-27    512     Yes Metabolite Drug Y        Urine #> 659 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #> 660 2024-02-10     NA    <NA> Metabolite Drug Y        Urine #>                        PARAM  PARAMCD PPSTINT PPENINT        AVISIT AVISITN #> 1           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 2           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 3           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 4           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 5           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 6           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 7           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 8           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 9           AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 10          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 11          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 12          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 13          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 14          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 15          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 16          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 17          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 18          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 19          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 20          AUC Infinity Obs   AUCIFO    <NA>    <NA>     SCREENING       0 #> 21                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 22                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 23                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 24                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 25                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 26                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 27                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 28                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 29                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 30                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 31                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 32                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 33                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 34                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 35                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 36                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 37                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 38                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 39                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 40                  Max Conc     CMAX    <NA>    <NA>     SCREENING       0 #> 41              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 42              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 43              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 44              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 45              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 46              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 47              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 48              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 49              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 50              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 51              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 52              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 53              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 54              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 55              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 56              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 57              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 58              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 59              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 60              Total CL Obs      CLO    <NA>    <NA>     SCREENING       0 #> 61  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 62  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 63  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 64  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 65  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 66  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 67  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 68  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 69  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 70  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 71  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 72  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 73  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 74  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 75  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 76  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 77  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 78  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 79  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 80  Time of Maximum Response     RMAX    <NA>    <NA>     SCREENING       0 #> 81             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 82             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 83             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 84             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 85             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 86             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 87             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 88             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 89             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 90             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 91             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 92             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 93             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 94             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 95             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 96             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 97             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 98             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 99             Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 100            Time to Onset      TON    <NA>    <NA>     SCREENING       0 #> 101                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 102                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 103                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 104                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 105                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 106                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 107                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 108                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 109                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 110                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 111                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 112                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 113                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 114                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 115                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 116                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 117                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 118                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 119                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 120                 Renal CL  RENALCL    <NA>    <NA>     SCREENING       0 #> 121    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 122    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 123    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 124    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 125    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 126    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 127    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 128    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 129    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 130    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 131    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 132    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 133    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 134    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 135    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 136    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 137    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 138    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 139    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 140    Renal CL Norm by Dose RENALCLD    <NA>    <NA>     SCREENING       0 #> 141    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 142    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 143    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 144    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 145    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 146    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 147    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 148    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 149    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 150    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 151    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 152    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 153    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 154    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 155    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 156    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 157    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 158    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 159    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 160    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 161    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 162    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 163    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 164    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 165    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 166    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 167    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 168    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 169    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 170    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 171    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 172    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 173    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 174    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 175    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 176    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 177    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 178    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 179    Amt Rec from T1 to T2  RCAMINT     P0H    P12H     SCREENING       0 #> 180    Amt Rec from T1 to T2  RCAMINT     P0H    P24H     SCREENING       0 #> 181    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 182    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 183    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 184    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 185    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 186    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 187    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 188    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 189    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 190    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 191    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 192    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 193    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 194    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 195    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 196    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 197    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 198    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 199    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 200    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 201    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 202    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 203    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 204    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 205    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 206    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 207    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 208    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 209    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 210    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 211    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 212    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 213    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 214    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 215    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 216    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 217    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 218    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 219    Pct Rec from T1 to T2  RCPCINT     P0H    P12H     SCREENING       0 #> 220    Pct Rec from T1 to T2  RCPCINT     P0H    P24H     SCREENING       0 #> 221         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 222         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 223         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 224         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 225         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 226         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 227         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 228         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 229         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 230         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 231         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 232         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 233         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 234         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 235         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 236         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 237         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 238         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 239         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 240         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 241                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 242                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 243                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 244                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 245                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 246                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 247                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 248                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 249                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 250                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 251                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 252                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 253                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 254                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 255                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 256                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 257                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 258                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 259                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 260                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 261             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 262             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 263             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 264             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 265             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 266             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 267             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 268             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 269             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 270             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 271             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 272             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 273             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 274             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 275             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 276             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 277             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 278             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 279             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 280             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 1       1 #> 281 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 282 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 283 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 284 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 285 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 286 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 287 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 288 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 289 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 290 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 291 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 292 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 293 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 294 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 295 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 296 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 297 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 298 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 299 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 300 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 1       1 #> 301            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 302            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 303            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 304            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 305            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 306            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 307            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 308            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 309            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 310            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 311            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 312            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 313            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 314            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 315            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 316            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 317            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 318            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 319            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 320            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 1       1 #> 321                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 322                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 323                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 324                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 325                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 326                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 327                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 328                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 329                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 330                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 331                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 332                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 333                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 334                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 335                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 336                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 337                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 338                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 339                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 340                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 1       1 #> 341    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 342    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 343    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 344    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 345    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 346    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 347    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 348    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 349    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 350    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 351    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 352    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 353    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 354    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 355    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 356    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 357    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 358    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 359    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 360    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 1       1 #> 361    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 362    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 363    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 364    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 365    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 366    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 367    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 368    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 369    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 370    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 371    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 372    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 373    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 374    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 375    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 376    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 377    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 378    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 379    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 380    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 381    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 382    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 383    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 384    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 385    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 386    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 387    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 388    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 389    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 390    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 391    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 392    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 393    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 394    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 395    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 396    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 397    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 398    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 399    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 1       1 #> 400    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 1       1 #> 401    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 402    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 403    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 404    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 405    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 406    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 407    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 408    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 409    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 410    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 411    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 412    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 413    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 414    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 415    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 416    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 417    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 418    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 419    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 420    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 421    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 422    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 423    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 424    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 425    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 426    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 427    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 428    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 429    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 430    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 431    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 432    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 433    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 434    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 435    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 436    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 437    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 438    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 439    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 1       1 #> 440    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 1       1 #> 441         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 442         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 443         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 444         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 445         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 446         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 447         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 448         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 449         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 450         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 451         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 452         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 453         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 454         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 455         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 456         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 457         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 458         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 459         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 460         AUC Infinity Obs   AUCIFO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 461                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 462                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 463                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 464                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 465                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 466                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 467                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 468                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 469                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 470                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 471                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 472                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 473                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 474                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 475                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 476                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 477                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 478                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 479                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 480                 Max Conc     CMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 481             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 482             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 483             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 484             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 485             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 486             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 487             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 488             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 489             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 490             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 491             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 492             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 493             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 494             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 495             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 496             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 497             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 498             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 499             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 500             Total CL Obs      CLO    <NA>    <NA> CYCLE 1 DAY 2       2 #> 501 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 502 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 503 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 504 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 505 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 506 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 507 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 508 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 509 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 510 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 511 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 512 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 513 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 514 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 515 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 516 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 517 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 518 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 519 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 520 Time of Maximum Response     RMAX    <NA>    <NA> CYCLE 1 DAY 2       2 #> 521            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 522            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 523            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 524            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 525            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 526            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 527            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 528            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 529            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 530            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 531            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 532            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 533            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 534            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 535            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 536            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 537            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 538            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 539            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 540            Time to Onset      TON    <NA>    <NA> CYCLE 1 DAY 2       2 #> 541                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 542                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 543                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 544                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 545                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 546                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 547                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 548                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 549                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 550                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 551                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 552                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 553                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 554                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 555                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 556                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 557                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 558                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 559                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 560                 Renal CL  RENALCL    <NA>    <NA> CYCLE 1 DAY 2       2 #> 561    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 562    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 563    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 564    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 565    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 566    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 567    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 568    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 569    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 570    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 571    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 572    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 573    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 574    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 575    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 576    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 577    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 578    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 579    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 580    Renal CL Norm by Dose RENALCLD    <NA>    <NA> CYCLE 1 DAY 2       2 #> 581    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 582    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 583    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 584    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 585    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 586    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 587    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 588    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 589    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 590    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 591    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 592    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 593    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 594    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 595    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 596    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 597    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 598    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 599    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 600    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 601    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 602    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 603    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 604    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 605    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 606    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 607    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 608    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 609    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 610    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 611    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 612    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 613    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 614    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 615    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 616    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 617    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 618    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 619    Amt Rec from T1 to T2  RCAMINT     P0H    P12H CYCLE 1 DAY 2       2 #> 620    Amt Rec from T1 to T2  RCAMINT     P0H    P24H CYCLE 1 DAY 2       2 #> 621    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 622    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 623    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 624    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 625    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 626    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 627    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 628    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 629    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 630    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 631    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 632    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 633    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 634    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 635    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 636    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 637    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 638    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 639    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 640    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 641    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 642    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 643    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 644    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 645    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 646    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 647    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 648    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 649    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 650    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 651    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 652    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 653    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 654    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 655    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 656    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 657    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 658    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #> 659    Pct Rec from T1 to T2  RCPCINT     P0H    P12H CYCLE 1 DAY 2       2 #> 660    Pct Rec from T1 to T2  RCPCINT     P0H    P24H CYCLE 1 DAY 2       2 #>             AVAL               AVALC     AVALU REGIMEN PKARMCD #> 1   2.073940e+02     207.39396738587 day*ug/mL     BID  Drug A #> 2   2.635138e+02    263.513813248353 day*ug/mL     BID  Drug A #> 3   1.547850e+02    154.784973030149 day*ug/mL     BID  Drug A #> 4   1.967899e+02     196.78992973796 day*ug/mL     BID  Drug A #> 5   2.052968e+02    205.296811375244 day*ug/mL     BID  Drug A #> 6   2.283182e+02    228.318189170869 day*ug/mL     BID  Drug A #> 7   2.793790e+02    279.378957466117 day*ug/mL     BID  Drug A #> 8   1.944485e+02    194.448519515213 day*ug/mL     BID  Drug A #> 9   1.075572e+02    107.557236615793 day*ug/mL     BID  Drug A #> 10  2.172906e+02    217.290606181585 day*ug/mL     BID  Drug A #> 11  1.520030e+02    152.002967214245 day*ug/mL     BID  Drug A #> 12  2.635855e+02    263.585528011603 day*ug/mL     BID  Drug A #> 13  2.781861e+02     278.18606568893 day*ug/mL     BID  Drug A #> 14  2.001975e+02    200.197511073126 day*ug/mL     BID  Drug A #> 15  1.019317e+02    101.931744486155 day*ug/mL     BID  Drug A #> 16  2.190895e+02    219.089492104545 day*ug/mL     BID  Drug A #> 17  2.316881e+02    231.688130811986 day*ug/mL     BID  Drug A #> 18  2.115855e+02    211.585468407094 day*ug/mL     BID  Drug A #> 19  1.761736e+02    176.173580052329 day*ug/mL     BID  Drug A #> 20  1.901395e+02    190.139497306659 day*ug/mL     BID  Drug A #> 21  1.824538e+01    18.2453809489972     ug/mL     BID  Drug A #> 22  2.494977e+01    24.9497696391864     ug/mL     BID  Drug A #> 23  4.142128e+01    41.4212848040859     ug/mL     BID  Drug A #> 24  3.373496e+01    33.7349635807244     ug/mL     BID  Drug A #> 25  4.194552e+01    41.9455226134819     ug/mL     BID  Drug A #> 26  2.816710e+01    28.1670976509513     ug/mL     BID  Drug A #> 27  2.889503e+01    28.8950312906924     ug/mL     BID  Drug A #> 28  2.280739e+01    22.8073934081555     ug/mL     BID  Drug A #> 29  1.820473e+01     18.204730551316     ug/mL     BID  Drug A #> 30  4.002971e+01     40.029712603956     ug/mL     BID  Drug A #> 31  4.218746e+01    42.1874551125315     ug/mL     BID  Drug A #> 32  2.578113e+01    25.7811340020367     ug/mL     BID  Drug A #> 33  3.094899e+01    30.9489885753607     ug/mL     BID  Drug A #> 34  3.303741e+01    33.0374087848843     ug/mL     BID  Drug A #> 35  2.508003e+01    25.0800293663028     ug/mL     BID  Drug A #> 36  1.800692e+01    18.0069180302153     ug/mL     BID  Drug A #> 37  3.050508e+01    30.5050794259335     ug/mL     BID  Drug A #> 38  2.462708e+01    24.6270803360201     ug/mL     BID  Drug A #> 39  2.455734e+01    24.5573377464391     ug/mL     BID  Drug A #> 40  2.153977e+01    21.5397699560178     ug/mL     BID  Drug A #> 41  3.304235e+00    3.30423509662098 ml/day/kg     BID  Drug A #> 42  4.466628e+00     4.4666278574528 ml/day/kg     BID  Drug A #> 43  3.627731e+00    3.62773054885692 ml/day/kg     BID  Drug A #> 44  2.792080e+00    2.79208022119536 ml/day/kg     BID  Drug A #> 45  6.822123e+00    6.82212251875356 ml/day/kg     BID  Drug A #> 46  4.346607e+00    4.34660658918122 ml/day/kg     BID  Drug A #> 47  4.613050e+00    4.61305039635507 ml/day/kg     BID  Drug A #> 48  5.386695e+00    5.38669497464607 ml/day/kg     BID  Drug A #> 49  3.746895e+00     3.7468951006308 ml/day/kg     BID  Drug A #> 50  4.398840e+00    4.39883989484765 ml/day/kg     BID  Drug A #> 51  5.260598e+00    5.26059783509216 ml/day/kg     BID  Drug A #> 52  4.685728e+00    4.68572801982808 ml/day/kg     BID  Drug A #> 53  4.250370e+00    4.25036990451692 ml/day/kg     BID  Drug A #> 54  4.137802e+00    4.13780167031419 ml/day/kg     BID  Drug A #> 55  7.048040e+00    7.04804030304848 ml/day/kg     BID  Drug A #> 56  5.939920e+00    5.93992007761338 ml/day/kg     BID  Drug A #> 57  4.578626e+00    4.57862642759465 ml/day/kg     BID  Drug A #> 58  4.649166e+00    4.64916557685214 ml/day/kg     BID  Drug A #> 59  5.455980e+00    5.45598009048122 ml/day/kg     BID  Drug A #> 60  4.216683e+00    4.21668334299138 ml/day/kg     BID  Drug A #> 61  1.027772e+01     10.277716838207        hr     BID  Drug A #> 62  1.342126e+01    13.4212631764731        hr     BID  Drug A #> 63  9.138718e+00    9.13871805055402        hr     BID  Drug A #> 64  7.911541e+00    7.91154083814588        hr     BID  Drug A #> 65  1.107516e+01    11.0751590491611        hr     BID  Drug A #> 66  8.660828e+00    8.66082802569954        hr     BID  Drug A #> 67  6.552020e+00    6.55202033101487        hr     BID  Drug B #> 68  6.515140e+00    6.51513983931819        hr     BID  Drug B #> 69  1.240099e+01    12.4009893976439        hr     BID  Drug B #> 70  7.092380e+00    7.09238030637342        hr     BID  Drug B #> 71  1.081945e+01    10.8194479651006        hr     BID  Drug B #> 72  8.386037e+00    8.38603672917152        hr     BID  Drug B #> 73  1.017110e+01     10.171100881709        hr     BID  Drug B #> 74  1.149249e+01    11.4924863372795        hr     BID  Drug B #> 75  8.692654e+00    8.69265387733783        hr     BID  Drug B #> 76  1.131421e+01    11.3142119666039        hr     BID  Drug B #> 77  8.386541e+00    8.38654128313466        hr     BID  Drug B #> 78  8.005241e+00    8.00524056544753        hr     BID  Drug B #> 79  7.313779e+00    7.31377890163956        hr     BID  Drug B #> 80  1.133505e+01    11.3350453742705        hr     BID  Drug B #> 81  2.617157e+00    2.61715738144196        hr     BID  Drug B #> 82  2.839372e+00    2.83937225758589        hr     BID  Drug B #> 83  3.215928e+00    3.21592773893143        hr     BID  Drug B #> 84  2.212280e+00    2.21228034363557        hr     BID  Drug B #> 85  2.469618e+00    2.46961823419878        hr     BID  Drug B #> 86  4.246257e+00    4.24625687675079        hr     BID  Drug B #> 87  2.256896e+00    2.25689642080303        hr     BID  Drug B #> 88  3.594260e+00    3.59425985379842        hr     BID  Drug B #> 89  2.608690e+00    2.60868969097793        hr     BID  Drug B #> 90  2.025444e+00    2.02544449592404        hr     BID  Drug B #> 91  2.242842e+00     2.2428424128162        hr     BID  Drug B #> 92  3.235311e+00    3.23531077553789        hr     BID  Drug B #> 93  2.321137e+00    2.32113704300777        hr     BID  Drug B #> 94  3.326487e+00     3.3264866904049        hr     BID  Drug B #> 95  3.705965e+00    3.70596536084074        hr     BID  Drug B #> 96  3.015137e+00    3.01513714154342        hr     BID  Drug B #> 97  2.607534e+00    2.60753414398955        hr     BID  Drug B #> 98  3.302185e+00    3.30218519449654        hr     BID  Drug B #> 99  3.420341e+00    3.42034067724912        hr     BID  Drug B #> 100 2.552149e+00    2.55214859122596        hr     BID  Drug B #> 101 3.980448e-02  0.0398044780278161      L/hr     BID  Drug B #> 102 7.870897e-02  0.0787089742357224      L/hr     BID  Drug B #> 103 5.218710e-02  0.0521871001140455      L/hr     BID  Drug B #> 104 4.033446e-02  0.0403344567029888      L/hr     BID  Drug B #> 105 5.383838e-02  0.0538383818162237      L/hr     BID  Drug B #> 106 4.878104e-02  0.0487810392868168      L/hr     BID  Drug B #> 107 5.599464e-02  0.0559946362113066      L/hr     BID  Drug B #> 108 5.231274e-02  0.0523127407756568      L/hr     BID  Drug B #> 109 5.451464e-02  0.0545146372704554      L/hr     BID  Drug B #> 110 6.675649e-02  0.0667564857038408      L/hr     BID  Drug B #> 111 5.715519e-02  0.0571551913504198      L/hr     BID  Drug B #> 112 4.206805e-02  0.0420680486447439      L/hr     BID  Drug B #> 113 6.923852e-02  0.0692385164716385      L/hr     BID  Drug B #> 114 5.070440e-02  0.0507043998631405      L/hr     BID  Drug B #> 115 5.469280e-02  0.0546928003631325      L/hr     BID  Drug B #> 116 4.910148e-02  0.0491014790592931      L/hr     BID  Drug B #> 117 4.626290e-02  0.0462629012200858      L/hr     BID  Drug B #> 118 7.258252e-02   0.072582519032112      L/hr     BID  Drug B #> 119 3.946543e-02  0.0394654320061997      L/hr     BID  Drug B #> 120 4.412160e-02  0.0441216020905139      L/hr     BID  Drug B #> 121 7.888418e-03 0.00788841825453315   L/hr/mg     BID  Drug B #> 122 6.172825e-03 0.00617282535280265   L/hr/mg     BID  Drug B #> 123 5.549643e-03 0.00554964322049714   L/hr/mg     BID  Drug B #> 124 5.779105e-03 0.00577910451000461   L/hr/mg     BID  Drug B #> 125 4.434869e-03 0.00443486874919505   L/hr/mg     BID  Drug B #> 126 5.102954e-03 0.00510295428579596   L/hr/mg     BID  Drug B #> 127 4.525569e-03 0.00452556882627679   L/hr/mg     BID  Drug B #> 128 4.541996e-03  0.0045419957930031   L/hr/mg     BID  Drug B #> 129 5.483657e-03 0.00548365664924895   L/hr/mg     BID  Drug B #> 130 4.828681e-03 0.00482868053104018   L/hr/mg     BID  Drug B #> 131 4.901642e-03  0.0049016415649018   L/hr/mg     BID  Drug B #> 132 4.678005e-03 0.00467800452020614   L/hr/mg     BID  Drug B #> 133 3.085265e-03 0.00308526549888187   L/hr/mg     BID  Drug C #> 134 4.352959e-03 0.00435295860684754   L/hr/mg     BID  Drug C #> 135 3.600563e-03  0.0036005631531315   L/hr/mg     BID  Drug C #> 136 6.931174e-03 0.00693117426931381   L/hr/mg     BID  Drug C #> 137 5.527439e-03  0.0055274387465549   L/hr/mg     BID  Drug C #> 138 4.963309e-03  0.0049633087270729   L/hr/mg     BID  Drug C #> 139 6.605200e-03 0.00660519993687242   L/hr/mg     BID  Drug C #> 140 5.067243e-03   0.005067243215326   L/hr/mg     BID  Drug C #> 141 1.764119e+00    1.76411874235571        mg     BID  Drug C #> 142 1.764119e+00    1.76411874235571        mg     BID  Drug C #> 143 1.960790e+00    1.96079030879955        mg     BID  Drug C #> 144 1.960790e+00    1.96079030879955        mg     BID  Drug C #> 145 1.365138e+00    1.36513847496565        mg     BID  Drug C #> 146 1.365138e+00    1.36513847496565        mg     BID  Drug C #> 147 1.982955e+00    1.98295467761374        mg     BID  Drug C #> 148 1.982955e+00    1.98295467761374        mg     BID  Drug C #> 149 2.083583e+00    2.08358294600425        mg     BID  Drug C #> 150 2.083583e+00    2.08358294600425        mg     BID  Drug C #> 151 1.927497e+00    1.92749653160781        mg     BID  Drug C #> 152 1.927497e+00    1.92749653160781        mg     BID  Drug C #> 153 1.968959e+00    1.96895924576341        mg     BID  Drug C #> 154 1.968959e+00    1.96895924576341        mg     BID  Drug C #> 155 1.532264e+00     1.5322639317603        mg     BID  Drug C #> 156 1.532264e+00     1.5322639317603        mg     BID  Drug C #> 157 1.450731e+00    1.45073083832002        mg     BID  Drug C #> 158 1.450731e+00    1.45073083832002        mg     BID  Drug C #> 159 1.347570e+00    1.34756962839076        mg     BID  Drug C #> 160 1.347570e+00    1.34756962839076        mg     BID  Drug C #> 161 1.462785e+00    1.46278501309857        mg     BID  Drug C #> 162 1.462785e+00    1.46278501309857        mg     BID  Drug C #> 163 1.837438e+00     1.8374384887417        mg     BID  Drug C #> 164 1.837438e+00     1.8374384887417        mg     BID  Drug C #> 165 9.725583e-01   0.972558343089336        mg     BID  Drug C #> 166 9.725583e-01   0.972558343089336        mg     BID  Drug C #> 167 1.789930e+00    1.78993031703251        mg     BID  Drug C #> 168 1.789930e+00    1.78993031703251        mg     BID  Drug C #> 169 1.808155e+00    1.80815547676696        mg     BID  Drug C #> 170 1.808155e+00    1.80815547676696        mg     BID  Drug C #> 171 1.622145e+00    1.62214484895993        mg     BID  Drug C #> 172 1.622145e+00    1.62214484895993        mg     BID  Drug C #> 173 1.948957e+00    1.94895711536126        mg     BID  Drug C #> 174 1.948957e+00    1.94895711536126        mg     BID  Drug C #> 175 1.348598e+00    1.34859760533249        mg     BID  Drug C #> 176 1.348598e+00    1.34859760533249        mg     BID  Drug C #> 177 1.709727e+00    1.70972671844114        mg     BID  Drug C #> 178 1.709727e+00    1.70972671844114        mg     BID  Drug C #> 179 1.498655e+00    1.49865531043811        mg     BID  Drug C #> 180 1.498655e+00    1.49865531043811        mg     BID  Drug C #> 181 1.906066e+01    19.0606593982511         %     BID  Drug C #> 182 1.906066e+01    19.0606593982511         %     BID  Drug C #> 183 1.853470e+01    18.5347043375246         %     BID  Drug C #> 184 1.853470e+01    18.5347043375246         %     BID  Drug C #> 185 1.679105e+01    16.7910526358469         %     BID  Drug C #> 186 1.679105e+01    16.7910526358469         %     BID  Drug C #> 187 1.657381e+01    16.5738137242544         %     BID  Drug C #> 188 1.657381e+01    16.5738137242544         %     BID  Drug C #> 189 1.730874e+01    17.3087385487854         %     BID  Drug C #> 190 1.730874e+01    17.3087385487854         %     BID  Drug C #> 191 1.868231e+01    18.6823120820053         %     BID  Drug C #> 192 1.868231e+01    18.6823120820053         %     BID  Drug C #> 193 2.035374e+01    20.3537434913621         %     BID  Drug C #> 194 2.035374e+01    20.3537434913621         %     BID  Drug C #> 195 1.467398e+01    14.6739785352415         %     BID  Drug C #> 196 1.467398e+01    14.6739785352415         %     BID  Drug C #> 197 1.468849e+01    14.6884942412513         %     BID  Drug C #> 198 1.468849e+01    14.6884942412513         %     BID  Drug C #> 199 1.705123e+01    17.0512323675702         %     BID  Drug D #> 200 1.705123e+01    17.0512323675702         %     BID  Drug D #> 201 1.686207e+01    16.8620650165532         %     BID  Drug D #> 202 1.686207e+01    16.8620650165532         %     BID  Drug D #> 203 1.161576e+01    11.6157603926478         %     BID  Drug D #> 204 1.161576e+01    11.6157603926478         %     BID  Drug D #> 205 1.637462e+01    16.3746163882503         %     BID  Drug D #> 206 1.637462e+01    16.3746163882503         %     BID  Drug D #> 207 1.790406e+01    17.9040596466762         %     BID  Drug D #> 208 1.790406e+01    17.9040596466762         %     BID  Drug D #> 209 1.486302e+01    14.8630180836626         %     BID  Drug D #> 210 1.486302e+01    14.8630180836626         %     BID  Drug D #> 211 1.465154e+01    14.6515428842478         %     BID  Drug D #> 212 1.465154e+01    14.6515428842478         %     BID  Drug D #> 213 1.824239e+01    18.2423941922289         %     BID  Drug D #> 214 1.824239e+01    18.2423941922289         %     BID  Drug D #> 215 1.684814e+01    16.8481448037605         %     BID  Drug D #> 216 1.684814e+01    16.8481448037605         %     BID  Drug D #> 217 2.003020e+01    20.0301989085571         %     BID  Drug D #> 218 2.003020e+01    20.0301989085571         %     BID  Drug D #> 219 1.603567e+01    16.0356728762873         %     BID  Drug D #> 220 1.603567e+01    16.0356728762873         %     BID  Drug D #> 221 2.569303e+02    256.930323397261 day*ug/mL     BID  Drug D #> 222 1.856497e+02    185.649713489217 day*ug/mL     BID  Drug D #> 223 1.800903e+02    180.090271118783 day*ug/mL     BID  Drug D #> 224 1.246005e+02    124.600478569302 day*ug/mL     BID  Drug D #> 225 1.544149e+02    154.414948645762 day*ug/mL     BID  Drug D #> 226 1.817308e+02    181.730839284568 day*ug/mL     BID  Drug D #> 227 1.871925e+02    187.192507862157 day*ug/mL     BID  Drug D #> 228 2.016669e+02    201.666930339071 day*ug/mL     BID  Drug D #> 229 1.735024e+02    173.502365427007 day*ug/mL     BID  Drug D #> 230 2.300816e+02    230.081567035137 day*ug/mL     BID  Drug D #> 231 1.704501e+02    170.450066986327 day*ug/mL     BID  Drug D #> 232 2.057459e+02     205.74589445307 day*ug/mL     BID  Drug D #> 233 1.713991e+02    171.399124832234 day*ug/mL     BID  Drug D #> 234 2.526594e+02    252.659426654931 day*ug/mL     BID  Drug D #> 235 1.370293e+02    137.029307606063 day*ug/mL     BID  Drug D #> 236 2.018464e+02    201.846443236622 day*ug/mL     BID  Drug D #> 237 2.565252e+02    256.525152035038 day*ug/mL     BID  Drug D #> 238 2.331677e+02    233.167720266784 day*ug/mL     BID  Drug D #> 239 2.137131e+02    213.713139182808 day*ug/mL     BID  Drug D #> 240 2.367428e+02    236.742822103937 day*ug/mL     BID  Drug D #> 241 1.366910e+01    13.6691030124032     ug/mL     BID  Drug D #> 242 2.391443e+01    23.9144291009689     ug/mL     BID  Drug D #> 243 2.502513e+01     25.025129557273     ug/mL     BID  Drug D #> 244 3.514625e+01    35.1462533862398     ug/mL     BID  Drug D #> 245 2.856894e+01    28.5689392252466     ug/mL     BID  Drug D #> 246 2.578052e+01    25.7805249196983     ug/mL     BID  Drug D #> 247 3.688800e+01    36.8879999535218     ug/mL     BID  Drug D #> 248 3.001240e+01     30.012402131878     ug/mL     BID  Drug D #> 249 2.212304e+01    22.1230432333383     ug/mL     BID  Drug D #> 250 3.174596e+01    31.7459581211885     ug/mL     BID  Drug D #> 251 2.246655e+01    22.4665530738696     ug/mL     BID  Drug D #> 252 3.847171e+01    38.4717067862155     ug/mL     BID  Drug D #> 253 3.440092e+01    34.4009222823337     ug/mL     BID  Drug D #> 254 3.769033e+01    37.6903287080125     ug/mL     BID  Drug D #> 255 3.539280e+01     35.392802882356     ug/mL     BID  Drug D #> 256 3.318667e+01    33.1866741543079     ug/mL     BID  Drug D #> 257 2.288872e+01    22.8887184150676     ug/mL     BID  Drug D #> 258 3.207598e+01    32.0759803136901     ug/mL     BID  Drug D #> 259 2.953594e+01    29.5359435444297     ug/mL     BID  Drug D #> 260 2.728145e+01     27.281450013058     ug/mL     BID  Drug D #> 261 4.717381e+00    4.71738069867348 ml/day/kg     BID  Drug D #> 262 3.429026e+00    3.42902569967221 ml/day/kg     BID  Drug D #> 263 5.296359e+00    5.29635860950479 ml/day/kg     BID  Drug D #> 264 5.247361e+00    5.24736127414808 ml/day/kg     BID  Drug D #> 265 4.863022e+00    4.86302160940736 ml/day/kg     BID  Drug E #> 266 4.285659e+00    4.28565923673174 ml/day/kg     BID  Drug E #> 267 2.979681e+00    2.97968072913846 ml/day/kg     BID  Drug E #> 268 5.506020e+00    5.50602022922493 ml/day/kg     BID  Drug E #> 269 4.730958e+00    4.73095816095179 ml/day/kg     BID  Drug E #> 270 5.204085e+00    5.20408452300841 ml/day/kg     BID  Drug E #> 271 5.116007e+00    5.11600698685415 ml/day/kg     BID  Drug E #> 272 4.743988e+00    4.74398822825356 ml/day/kg     BID  Drug E #> 273 4.325404e+00    4.32540376020656 ml/day/kg     BID  Drug E #> 274 5.942027e+00    5.94202707906856 ml/day/kg     BID  Drug E #> 275 5.493036e+00    5.49303642251188 ml/day/kg     BID  Drug E #> 276 5.443817e+00    5.44381705349733 ml/day/kg     BID  Drug E #> 277 6.301914e+00    6.30191419547311 ml/day/kg     BID  Drug E #> 278 3.640673e+00     3.6406732879911 ml/day/kg     BID  Drug E #> 279 4.200825e+00    4.20082493149421 ml/day/kg     BID  Drug E #> 280 4.486966e+00    4.48696646139325 ml/day/kg     BID  Drug E #> 281 1.027473e+01     10.274732191036        hr     BID  Drug E #> 282 8.210005e+00     8.2100054425684        hr     BID  Drug E #> 283 9.842868e+00    9.84286835655766        hr     BID  Drug E #> 284 1.319167e+01    13.1916725678912        hr     BID  Drug E #> 285 7.591947e+00    7.59194722657837        hr     BID  Drug E #> 286 6.675458e+00    6.67545767126632        hr     BID  Drug E #> 287 8.103624e+00    8.10362448824755        hr     BID  Drug E #> 288 8.097617e+00     8.0976171915404        hr     BID  Drug E #> 289 9.947930e+00    9.94793017996555        hr     BID  Drug E #> 290 1.028454e+01    10.2845373494783        hr     BID  Drug E #> 291 1.123585e+01      11.23585220499        hr     BID  Drug E #> 292 8.559155e+00    8.55915528999599        hr     BID  Drug E #> 293 8.832976e+00    8.83297611393234        hr     BID  Drug E #> 294 1.043265e+01    10.4326490077766        hr     BID  Drug E #> 295 1.248998e+01    12.4899824807859        hr     BID  Drug E #> 296 8.464196e+00    8.46419603139228        hr     BID  Drug E #> 297 7.711333e+00    7.71133348690102        hr     BID  Drug E #> 298 1.294035e+01    12.9403540993444        hr     BID  Drug E #> 299 1.088906e+01    10.8890550395933        hr     BID  Drug E #> 300 1.162194e+01    11.6219439071834        hr     BID  Drug E #> 301 3.490278e+00     3.4902781560917        hr     BID  Drug E #> 302 3.245012e+00    3.24501234776681        hr     BID  Drug E #> 303 3.085567e+00    3.08556690428139        hr     BID  Drug E #> 304 2.937817e+00    2.93781658898426        hr     BID  Drug E #> 305 3.421160e+00    3.42115958215722        hr     BID  Drug E #> 306 3.624440e+00    3.62444048355561        hr     BID  Drug E #> 307 4.052582e+00     4.0525816047198        hr     BID  Drug E #> 308 3.031328e+00    3.03132769086646        hr     BID  Drug E #> 309 2.690587e+00    2.69058690448801        hr     BID  Drug E #> 310 3.390794e+00    3.39079421116465        hr     BID  Drug E #> 311 2.961701e+00     2.9617007231057        hr     BID  Drug E #> 312 2.498373e+00    2.49837304905404        hr     BID  Drug E #> 313 4.037247e+00    4.03724670859468        hr     BID  Drug E #> 314 2.419750e+00    2.41975018693132        hr     BID  Drug E #> 315 3.339815e+00    3.33981534379736        hr     BID  Drug E #> 316 2.729627e+00    2.72962734073946        hr     BID  Drug E #> 317 2.247235e+00    2.24723508591904        hr     BID  Drug E #> 318 4.294007e+00    4.29400735324689        hr     BID  Drug E #> 319 3.472946e+00    3.47294581080228        hr     BID  Drug E #> 320 3.098849e+00    3.09884932801267        hr     BID  Drug E #> 321 4.235532e-02  0.0423553199189737      L/hr     BID  Drug E #> 322 6.461451e-02   0.064614512586786      L/hr     BID  Drug E #> 323 3.645904e-02  0.0364590361161427      L/hr     BID  Drug E #> 324 3.782145e-02  0.0378214452457843      L/hr     BID  Drug E #> 325 6.438519e-02  0.0643851940267339      L/hr     BID  Drug E #> 326 7.689005e-02   0.076890046998286      L/hr     BID  Drug E #> 327 6.101924e-02  0.0610192418258703      L/hr     BID  Drug E #> 328 4.728295e-02  0.0472829473396486      L/hr     BID  Drug E #> 329 3.865409e-02  0.0386540896293925      L/hr     BID  Drug E #> 330 6.341885e-02  0.0634188539918939      L/hr     BID  Drug E #> 331 5.633725e-02  0.0563372518922889      L/hr     BID  Drug F #> 332 4.675172e-02   0.046751724250156      L/hr     BID  Drug F #> 333 5.846145e-02  0.0584614518659475      L/hr     BID  Drug F #> 334 5.017041e-02   0.050170413878429      L/hr     BID  Drug F #> 335 4.674477e-02  0.0467447737126511      L/hr     BID  Drug F #> 336 4.114206e-02  0.0411420586100585      L/hr     BID  Drug F #> 337 4.989478e-02  0.0498947810722962      L/hr     BID  Drug F #> 338 6.433355e-02  0.0643335509332141      L/hr     BID  Drug F #> 339 3.354532e-02  0.0335453157272247      L/hr     BID  Drug F #> 340 3.930315e-02  0.0393031505937198      L/hr     BID  Drug F #> 341 4.885782e-03 0.00488578162784292   L/hr/mg     BID  Drug F #> 342 4.105379e-03 0.00410537862783403   L/hr/mg     BID  Drug F #> 343 4.345911e-03 0.00434591109494843   L/hr/mg     BID  Drug F #> 344 6.178716e-03 0.00617871628153782   L/hr/mg     BID  Drug F #> 345 5.951517e-03 0.00595151651072979   L/hr/mg     BID  Drug F #> 346 5.107910e-03 0.00510791034728672   L/hr/mg     BID  Drug F #> 347 5.826101e-03 0.00582610070238661   L/hr/mg     BID  Drug F #> 348 4.094573e-03  0.0040945732039763   L/hr/mg     BID  Drug F #> 349 4.750579e-03 0.00475057897295772   L/hr/mg     BID  Drug F #> 350 5.283153e-03 0.00528315330258214   L/hr/mg     BID  Drug F #> 351 5.761532e-03   0.005761532246986   L/hr/mg     BID  Drug F #> 352 5.118547e-03 0.00511854677520249   L/hr/mg     BID  Drug F #> 353 5.090595e-03 0.00509059475716538   L/hr/mg     BID  Drug F #> 354 6.306046e-03 0.00630604638464421   L/hr/mg     BID  Drug F #> 355 5.352020e-03 0.00535201989437071   L/hr/mg     BID  Drug F #> 356 4.203110e-03 0.00420310972500367   L/hr/mg     BID  Drug F #> 357 6.102527e-03 0.00610252683926924   L/hr/mg     BID  Drug F #> 358 3.544290e-03 0.00354429022864301   L/hr/mg     BID  Drug F #> 359 4.291607e-03 0.00429160671105357   L/hr/mg     BID  Drug F #> 360 5.859195e-03 0.00585919454297287   L/hr/mg     BID  Drug F #> 361 9.486762e-01   0.948676182861927        mg     BID  Drug F #> 362 9.486762e-01   0.948676182861927        mg     BID  Drug F #> 363 1.086980e+00    1.08698026399781        mg     BID  Drug F #> 364 1.086980e+00    1.08698026399781        mg     BID  Drug F #> 365 1.292638e+00    1.29263752739562        mg     BID  Drug F #> 366 1.292638e+00    1.29263752739562        mg     BID  Drug F #> 367 1.410770e+00    1.41077012419244        mg     BID  Drug F #> 368 1.410770e+00    1.41077012419244        mg     BID  Drug F #> 369 1.802584e+00    1.80258389627015        mg     BID  Drug F #> 370 1.802584e+00    1.80258389627015        mg     BID  Drug F #> 371 1.189952e+00    1.18995190486037        mg     BID  Drug F #> 372 1.189952e+00    1.18995190486037        mg     BID  Drug F #> 373 1.266520e+00    1.26652006352303        mg     BID  Drug F #> 374 1.266520e+00    1.26652006352303        mg     BID  Drug F #> 375 1.372339e+00    1.37233876678521        mg     BID  Drug F #> 376 1.372339e+00    1.37233876678521        mg     BID  Drug F #> 377 1.599888e+00    1.59988770840253        mg     BID  Drug F #> 378 1.599888e+00    1.59988770840253        mg     BID  Drug F #> 379 1.255193e+00    1.25519333058249        mg     BID  Drug F #> 380 1.255193e+00    1.25519333058249        mg     BID  Drug F #> 381 2.177080e+00    2.17707973330577        mg     BID  Drug F #> 382 2.177080e+00    2.17707973330577        mg     BID  Drug F #> 383 2.098934e+00    2.09893415014814        mg     BID  Drug F #> 384 2.098934e+00    2.09893415014814        mg     BID  Drug F #> 385 1.261253e+00    1.26125345974559        mg     BID  Drug F #> 386 1.261253e+00    1.26125345974559        mg     BID  Drug F #> 387 1.922597e+00    1.92259692994901        mg     BID  Drug F #> 388 1.922597e+00    1.92259692994901        mg     BID  Drug F #> 389 1.375677e+00    1.37567722642343        mg     BID  Drug F #> 390 1.375677e+00    1.37567722642343        mg     BID  Drug F #> 391 1.772309e+00     1.7723093790103        mg     BID  Drug F #> 392 1.772309e+00     1.7723093790103        mg     BID  Drug F #> 393 1.041090e+00    1.04108979246291        mg     BID  Drug F #> 394 1.041090e+00    1.04108979246291        mg     BID  Drug F #> 395 1.951526e+00    1.95152558688477        mg     BID  Drug F #> 396 1.951526e+00    1.95152558688477        mg     BID  Drug F #> 397 1.319356e+00    1.31935610922078        mg     BID  Drug G #> 398 1.319356e+00    1.31935610922078        mg     BID  Drug G #> 399 1.020992e+00    1.02099181540417        mg     BID  Drug G #> 400 1.020992e+00    1.02099181540417        mg     BID  Drug G #> 401 1.640459e+01    16.4045910334649         %     BID  Drug G #> 402 1.640459e+01    16.4045910334649         %     BID  Drug G #> 403 1.612969e+01     16.129688005731         %     BID  Drug G #> 404 1.612969e+01     16.129688005731         %     BID  Drug G #> 405 1.379335e+01    13.7933518848245         %     BID  Drug G #> 406 1.379335e+01    13.7933518848245         %     BID  Drug G #> 407 1.378946e+01    13.7894562135142         %     BID  Drug G #> 408 1.378946e+01    13.7894562135142         %     BID  Drug G #> 409 1.695709e+01    16.9570937587628         %     BID  Drug G #> 410 1.695709e+01    16.9570937587628         %     BID  Drug G #> 411 1.417418e+01    14.1741793705101         %     BID  Drug G #> 412 1.417418e+01    14.1741793705101         %     BID  Drug G #> 413 1.436478e+01     14.364779668508         %     BID  Drug G #> 414 1.436478e+01     14.364779668508         %     BID  Drug G #> 415 1.488543e+01    14.8854341509201         %     BID  Drug G #> 416 1.488543e+01    14.8854341509201         %     BID  Drug G #> 417 1.579418e+01    15.7941820609379         %     BID  Drug G #> 418 1.579418e+01    15.7941820609379         %     BID  Drug G #> 419 1.763385e+01    17.6338463895742         %     BID  Drug G #> 420 1.763385e+01    17.6338463895742         %     BID  Drug G #> 421 1.637584e+01    16.3758351256949         %     BID  Drug G #> 422 1.637584e+01    16.3758351256949         %     BID  Drug G #> 423 1.466581e+01    14.6658094327869         %     BID  Drug G #> 424 1.466581e+01    14.6658094327869         %     BID  Drug G #> 425 2.034407e+01    20.3440725941748         %     BID  Drug G #> 426 2.034407e+01    20.3440725941748         %     BID  Drug G #> 427 1.586777e+01    15.8677677759034         %     BID  Drug G #> 428 1.586777e+01    15.8677677759034         %     BID  Drug G #> 429 1.982553e+01    19.8255255436001         %     BID  Drug G #> 430 1.982553e+01    19.8255255436001         %     BID  Drug G #> 431 1.622040e+01    16.2203954624552         %     BID  Drug G #> 432 1.622040e+01    16.2203954624552         %     BID  Drug G #> 433 1.298783e+01    12.9878334657617         %     BID  Drug G #> 434 1.298783e+01    12.9878334657617         %     BID  Drug G #> 435 1.649345e+01     16.493447709445         %     BID  Drug G #> 436 1.649345e+01     16.493447709445         %     BID  Drug G #> 437 1.737979e+01     17.379791080356         %     BID  Drug G #> 438 1.737979e+01     17.379791080356         %     BID  Drug G #> 439 2.001734e+01    20.0173432011811         %     BID  Drug G #> 440 2.001734e+01    20.0173432011811         %     BID  Drug G #> 441 2.149988e+02     214.99879856695 day*ug/mL     BID  Drug G #> 442 2.585803e+02    258.580258192242 day*ug/mL     BID  Drug G #> 443 1.503107e+02    150.310677694497 day*ug/mL     BID  Drug G #> 444 1.718938e+02    171.893774989225 day*ug/mL     BID  Drug G #> 445 2.346909e+02    234.690934609323 day*ug/mL     BID  Drug G #> 446 1.962686e+02    196.268597740576 day*ug/mL     BID  Drug G #> 447 9.255009e+01    92.5500878006893 day*ug/mL     BID  Drug G #> 448 1.637703e+02    163.770301044755 day*ug/mL     BID  Drug G #> 449 2.255541e+02    225.554093973372 day*ug/mL     BID  Drug G #> 450 1.867350e+02     186.73503633016 day*ug/mL     BID  Drug G #> 451 2.693793e+02    269.379277278281 day*ug/mL     BID  Drug G #> 452 2.391069e+02    239.106894521462 day*ug/mL     BID  Drug G #> 453 2.224063e+02    222.406293443688 day*ug/mL     BID  Drug G #> 454 1.854481e+02    185.448114508666 day*ug/mL     BID  Drug G #> 455 1.822437e+02    182.243690750713 day*ug/mL     BID  Drug G #> 456 1.845306e+02    184.530586946616 day*ug/mL     BID  Drug G #> 457 2.338127e+02    233.812678582435 day*ug/mL     BID  Drug G #> 458 2.132231e+02    213.223083631698 day*ug/mL     BID  Drug G #> 459 2.041419e+02    204.141909145777 day*ug/mL     BID  Drug G #> 460 2.001205e+02    200.120528330938 day*ug/mL     BID  Drug G #> 461 3.205195e+01    32.0519504399199     ug/mL     BID  Drug G #> 462 2.776062e+01    27.7606212520254     ug/mL     BID  Drug G #> 463 2.990598e+01    29.9059789361623     ug/mL     BID  Drug H #> 464 4.562548e+01     45.625483916718     ug/mL     BID  Drug H #> 465 3.403413e+01    34.0341307187731     ug/mL     BID  Drug H #> 466 3.083729e+01    30.8372944676605     ug/mL     BID  Drug H #> 467 2.827417e+01    28.2741738511296     ug/mL     BID  Drug H #> 468 2.489571e+01    24.8957082574301     ug/mL     BID  Drug H #> 469 3.278246e+01    32.7824567239638     ug/mL     BID  Drug H #> 470 2.094198e+01    20.9419825594948     ug/mL     BID  Drug H #> 471 2.310235e+01    23.1023470660459     ug/mL     BID  Drug H #> 472 3.069840e+01    30.6983950954918     ug/mL     BID  Drug H #> 473 3.208383e+01    32.0838254471052     ug/mL     BID  Drug H #> 474 3.328160e+01     33.281597022575     ug/mL     BID  Drug H #> 475 2.689154e+01    26.8915383598325     ug/mL     BID  Drug H #> 476 3.777084e+01    37.7708435826082     ug/mL     BID  Drug H #> 477 2.941983e+01    29.4198282646838     ug/mL     BID  Drug H #> 478 3.236489e+01    32.3648858039452     ug/mL     BID  Drug H #> 479 2.765928e+01    27.6592809718307     ug/mL     BID  Drug H #> 480 4.459249e+01    44.5924937528137     ug/mL     BID  Drug H #> 481 2.725656e+00    2.72565554350297 ml/day/kg     BID  Drug H #> 482 5.334937e+00    5.33493715497149 ml/day/kg     BID  Drug H #> 483 4.786312e+00    4.78631199349361 ml/day/kg     BID  Drug H #> 484 4.968458e+00    4.96845759843166 ml/day/kg     BID  Drug H #> 485 4.303916e+00    4.30391645546196 ml/day/kg     BID  Drug H #> 486 5.968421e+00    5.96842100298099 ml/day/kg     BID  Drug H #> 487 6.476121e+00    6.47612071821176 ml/day/kg     BID  Drug H #> 488 4.532811e+00    4.53281083293232 ml/day/kg     BID  Drug H #> 489 4.435756e+00    4.43575587416563 ml/day/kg     BID  Drug H #> 490 3.678706e+00     3.6787060520376 ml/day/kg     BID  Drug H #> 491 6.147497e+00    6.14749746280844 ml/day/kg     BID  Drug H #> 492 6.212535e+00     6.2125351504717 ml/day/kg     BID  Drug H #> 493 5.158588e+00    5.15858783604358 ml/day/kg     BID  Drug H #> 494 3.237578e+00    3.23757790481116 ml/day/kg     BID  Drug H #> 495 5.260175e+00    5.26017478144207 ml/day/kg     BID  Drug H #> 496 5.162078e+00     5.1620782394036 ml/day/kg     BID  Drug H #> 497 4.812580e+00    4.81258033109917 ml/day/kg     BID  Drug H #> 498 7.183334e+00     7.1833341796057 ml/day/kg     BID  Drug H #> 499 4.610537e+00    4.61053723613999 ml/day/kg     BID  Drug H #> 500 5.437885e+00    5.43788508379327 ml/day/kg     BID  Drug H #> 501 1.196685e+01    11.9668538770102        hr     BID  Drug H #> 502 1.202071e+01    12.0207061265011        hr     BID  Drug H #> 503 6.133203e+00    6.13320286621991        hr     BID  Drug H #> 504 1.097588e+01    10.9758790143515        hr     BID  Drug H #> 505 9.074984e+00    9.07498363047769        hr     BID  Drug H #> 506 9.677453e+00    9.67745331160391        hr     BID  Drug H #> 507 5.332753e+00    5.33275295522064        hr     BID  Drug H #> 508 9.357802e+00    9.35780184155058        hr     BID  Drug H #> 509 9.165453e+00    9.16545334677742        hr     BID  Drug H #> 510 1.138388e+01    11.3838806449804        hr     BID  Drug H #> 511 9.216854e+00    9.21685445473313        hr     BID  Drug H #> 512 1.170380e+01    11.7038030618058        hr     BID  Drug H #> 513 1.303277e+01    13.0327721579817        hr     BID  Drug H #> 514 8.057444e+00     8.0574437333273        hr     BID  Drug H #> 515 1.325065e+01    13.2506468101593        hr     BID  Drug H #> 516 9.044935e+00    9.04493464607706        hr     BID  Drug H #> 517 9.995204e+00    9.99520422131192        hr     BID  Drug H #> 518 6.917983e+00    6.91798293449758        hr     BID  Drug H #> 519 9.940661e+00    9.94066093629947        hr     BID  Drug H #> 520 1.109672e+01    11.0967150432458        hr     BID  Drug H #> 521 4.017339e+00    4.01733868332195        hr     BID  Drug H #> 522 3.462487e+00    3.46248691345843        hr     BID  Drug H #> 523 3.039949e+00     3.0399487644608        hr     BID  Drug H #> 524 2.162042e+00    2.16204177547758        hr     BID  Drug H #> 525 3.318482e+00    3.31848248436165        hr     BID  Drug H #> 526 2.603872e+00     2.6038715031807        hr     BID  Drug H #> 527 4.259190e+00    4.25918951589341        hr     BID  Drug H #> 528 2.468140e+00     2.4681397769112        hr     BID  Drug H #> 529 2.701825e+00    2.70182471946397        hr     BID  Drug I #> 530 2.909028e+00    2.90902801384784        hr     BID  Drug I #> 531 3.655487e+00    3.65548719440919        hr     BID  Drug I #> 532 3.001728e+00    3.00172820515348        hr     BID  Drug I #> 533 2.920457e+00    2.92045657466445        hr     BID  Drug I #> 534 2.959265e+00    2.95926528724271        hr     BID  Drug I #> 535 3.183531e+00    3.18353072464325        hr     BID  Drug I #> 536 3.369116e+00    3.36911599715818        hr     BID  Drug I #> 537 2.432936e+00    2.43293560135496        hr     BID  Drug I #> 538 2.656024e+00    2.65602431857093        hr     BID  Drug I #> 539 4.805290e+00    4.80529007245449        hr     BID  Drug I #> 540 2.569674e+00    2.56967416699386        hr     BID  Drug I #> 541 5.981366e-02  0.0598136609639637      L/hr     BID  Drug I #> 542 5.059267e-02  0.0505926715715636      L/hr     BID  Drug I #> 543 5.017707e-02  0.0501770666329718      L/hr     BID  Drug I #> 544 5.364700e-02  0.0536470026420861      L/hr     BID  Drug I #> 545 3.865679e-02  0.0386567896175236      L/hr     BID  Drug I #> 546 4.852273e-02   0.048522727112721      L/hr     BID  Drug I #> 547 4.820947e-02  0.0482094690432808      L/hr     BID  Drug I #> 548 5.577913e-02  0.0557791295773008      L/hr     BID  Drug I #> 549 2.360682e-02  0.0236068173787631      L/hr     BID  Drug I #> 550 5.140415e-02  0.0514041500468243      L/hr     BID  Drug I #> 551 5.045537e-02  0.0504553693297155      L/hr     BID  Drug I #> 552 5.424366e-02  0.0542436635876486      L/hr     BID  Drug I #> 553 3.779283e-02  0.0377928335638139      L/hr     BID  Drug I #> 554 6.163869e-02  0.0616386851590752      L/hr     BID  Drug I #> 555 5.021936e-02  0.0502193618784825      L/hr     BID  Drug I #> 556 3.397509e-02  0.0339750856052199      L/hr     BID  Drug I #> 557 5.048466e-02  0.0504846631430548      L/hr     BID  Drug I #> 558 4.360797e-02  0.0436079659762418      L/hr     BID  Drug I #> 559 5.574469e-02  0.0557446865479267      L/hr     BID  Drug I #> 560 4.924307e-02  0.0492430713044339      L/hr     BID  Drug I #> 561 4.450401e-03 0.00445040101986545   L/hr/mg     BID  Drug I #> 562 5.263901e-03 0.00526390092639781   L/hr/mg     BID  Drug I #> 563 4.159798e-03 0.00415979823392004   L/hr/mg     BID  Drug I #> 564 4.021430e-03 0.00402143019459275   L/hr/mg     BID  Drug I #> 565 4.157426e-03 0.00415742554333584   L/hr/mg     BID  Drug I #> 566 5.258028e-03 0.00525802803503347   L/hr/mg     BID  Drug I #> 567 6.885781e-03 0.00688578063852627   L/hr/mg     BID  Drug I #> 568 6.132285e-03 0.00613228469251829   L/hr/mg     BID  Drug I #> 569 3.419522e-03 0.00341952201619729   L/hr/mg     BID  Drug I #> 570 4.755805e-03 0.00475580493560046   L/hr/mg     BID  Drug I #> 571 3.421093e-03 0.00342109252922634   L/hr/mg     BID  Drug I #> 572 4.442839e-03 0.00444283851624684   L/hr/mg     BID  Drug I #> 573 4.750608e-03 0.00475060802745212   L/hr/mg     BID  Drug I #> 574 4.355842e-03 0.00435584191965814   L/hr/mg     BID  Drug I #> 575 5.055083e-03 0.00505508311889124   L/hr/mg     BID  Drug I #> 576 3.579471e-03 0.00357947124919533   L/hr/mg     BID  Drug I #> 577 4.063676e-03  0.0040636762174183   L/hr/mg     BID  Drug I #> 578 4.639761e-03 0.00463976086792879   L/hr/mg     BID  Drug I #> 579 5.655336e-03 0.00565533573509659   L/hr/mg     BID  Drug I #> 580 3.493216e-03 0.00349321613109921   L/hr/mg     BID  Drug I #> 581 1.859404e+00    1.85940413197033        mg     BID  Drug I #> 582 1.859404e+00    1.85940413197033        mg     BID  Drug I #> 583 1.265525e+00    1.26552534505872        mg     BID  Drug I #> 584 1.265525e+00    1.26552534505872        mg     BID  Drug I #> 585 1.573342e+00    1.57334171054674        mg     BID  Drug I #> 586 1.573342e+00    1.57334171054674        mg     BID  Drug I #> 587 1.301849e+00     1.3018486912045        mg     BID  Drug I #> 588 1.301849e+00     1.3018486912045        mg     BID  Drug I #> 589 1.735282e+00    1.73528245211133        mg     BID  Drug I #> 590 1.735282e+00    1.73528245211133        mg     BID  Drug I #> 591 1.526295e+00    1.52629480815639        mg     BID  Drug I #> 592 1.526295e+00    1.52629480815639        mg     BID  Drug I #> 593 1.415139e+00    1.41513944351306        mg     BID  Drug I #> 594 1.415139e+00    1.41513944351306        mg     BID  Drug I #> 595 1.887536e+00    1.88753573284349        mg     BID  Drug J #> 596 1.887536e+00    1.88753573284349        mg     BID  Drug J #> 597 1.459179e+00    1.45917926658843        mg     BID  Drug J #> 598 1.459179e+00    1.45917926658843        mg     BID  Drug J #> 599 1.611991e+00    1.61199055541577        mg     BID  Drug J #> 600 1.611991e+00    1.61199055541577        mg     BID  Drug J #> 601 1.828629e+00    1.82862928067855        mg     BID  Drug J #> 602 1.828629e+00    1.82862928067855        mg     BID  Drug J #> 603 1.382464e+00    1.38246363685291        mg     BID  Drug J #> 604 1.382464e+00    1.38246363685291        mg     BID  Drug J #> 605 1.507962e+00    1.50796220314385        mg     BID  Drug J #> 606 1.507962e+00    1.50796220314385        mg     BID  Drug J #> 607 1.434500e+00    1.43449990404704        mg     BID  Drug J #> 608 1.434500e+00    1.43449990404704        mg     BID  Drug J #> 609 1.976796e+00    1.97679630812782        mg     BID  Drug J #> 610 1.976796e+00    1.97679630812782        mg     BID  Drug J #> 611 1.135203e+00    1.13520289866102        mg     BID  Drug J #> 612 1.135203e+00    1.13520289866102        mg     BID  Drug J #> 613 1.906845e+00     1.9068448161695        mg     BID  Drug J #> 614 1.906845e+00     1.9068448161695        mg     BID  Drug J #> 615 1.961348e+00    1.96134763331244        mg     BID  Drug J #> 616 1.961348e+00    1.96134763331244        mg     BID  Drug J #> 617 1.458434e+00    1.45843396966174        mg     BID  Drug J #> 618 1.458434e+00    1.45843396966174        mg     BID  Drug J #> 619 2.095667e+00    2.09566662198212        mg     BID  Drug J #> 620 2.095667e+00    2.09566662198212        mg     BID  Drug J #> 621 1.112410e+01    11.1241017445401         %     BID  Drug J #> 622 1.112410e+01    11.1241017445401         %     BID  Drug J #> 623 1.309804e+01    13.0980442122669         %     BID  Drug J #> 624 1.309804e+01    13.0980442122669         %     BID  Drug J #> 625 1.603946e+01     16.039461234946         %     BID  Drug J #> 626 1.603946e+01     16.039461234946         %     BID  Drug J #> 627 1.284554e+01    12.8455426253741         %     BID  Drug J #> 628 1.284554e+01    12.8455426253741         %     BID  Drug J #> 629 1.402493e+01    14.0249256128241         %     BID  Drug J #> 630 1.402493e+01    14.0249256128241         %     BID  Drug J #> 631 1.389169e+01    13.8916919791415         %     BID  Drug J #> 632 1.389169e+01    13.8916919791415         %     BID  Drug J #> 633 1.962518e+01    19.6251776848061         %     BID  Drug J #> 634 1.962518e+01    19.6251776848061         %     BID  Drug J #> 635 1.723888e+01    17.2388808338258         %     BID  Drug J #> 636 1.723888e+01    17.2388808338258         %     BID  Drug J #> 637 1.327166e+01    13.2716645974904         %     BID  Drug J #> 638 1.327166e+01    13.2716645974904         %     BID  Drug J #> 639 1.283775e+01     12.837752640077         %     BID  Drug J #> 640 1.283775e+01     12.837752640077         %     BID  Drug J #> 641 1.521676e+01    15.2167647627425         %     BID  Drug J #> 642 1.521676e+01    15.2167647627425         %     BID  Drug J #> 643 1.958348e+01    19.5834819400363         %     BID  Drug J #> 644 1.958348e+01    19.5834819400363         %     BID  Drug J #> 645 1.395994e+01    13.9599364922328         %     BID  Drug J #> 646 1.395994e+01    13.9599364922328         %     BID  Drug J #> 647 1.410760e+01     14.107602151713         %     BID  Drug J #> 648 1.410760e+01     14.107602151713         %     BID  Drug J #> 649 1.893647e+01     18.936473853621         %     BID  Drug J #> 650 1.893647e+01     18.936473853621         %     BID  Drug J #> 651 1.844963e+01     18.449630669667         %     BID  Drug J #> 652 1.844963e+01     18.449630669667         %     BID  Drug J #> 653 1.589160e+01      15.89160304836         %     BID  Drug J #> 654 1.589160e+01      15.89160304836         %     BID  Drug J #> 655 1.822207e+01    18.2220706371774         %     BID  Drug J #> 656 1.822207e+01    18.2220706371774         %     BID  Drug J #> 657 1.656440e+01    16.5644027289067         %     BID  Drug J #> 658 1.656440e+01    16.5644027289067         %     BID  Drug J #> 659 1.340679e+01    13.4067868033689         %     BID  Drug J #> 660 1.340679e+01    13.4067868033689         %     BID  Drug J"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radqlqc.html","id":null,"dir":"Reference","previous_headings":"","what":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"Function generating random EORTC QLQ-C30 V3 Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radqlqc.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"","code":"radqlqc(adsl, percent, number, seed = NULL, cached = FALSE)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radqlqc.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). percent (numeric) Completion - Completed least y percent questions, 1 record per visit number (numeric) Completion - Completed least x question(s), 1 record per visit seed (numeric) Seed use reproducible random number generation. cached boolean whether cached ADQLQC data cadqlqc returned new data generated. set TRUE arguments radqlqc ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radqlqc.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radqlqc.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"Keys: STUDYID, USUBJID, PARCAT1N, PARAMCD, BASETYPE, AVISITN, ATPTN, ADTM, QSSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radqlqc.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"EORTC QLQ-C30 V3 Analysis Dataset (ADQLQC) — radqlqc","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1)  adqlqc <- radqlqc(adsl, seed = 1, percent = 80, number = 2) adqlqc #> # A tibble: 2,860 × 50 #>    STUDYID USUBJID   SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY TRT01P #>    <chr>   <chr>     <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct>  #>  1 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  2 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  3 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  4 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  5 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  6 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  7 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  8 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #>  9 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #> 10 AB12345 AB12345-… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     C: Co… #> # ℹ 2,850 more rows #> # ℹ 39 more variables: TRT01A <fct>, REGION1 <fct>, ITTFL <fct>, SAFFL <fct>, #> #   TRTSDTM <dttm>, TRTEDTM <dttm>, QSSEQ <int>, QSCAT <fct>, QSSCAT <fct>, #> #   QSDTC <dttm>, QSSTAT <fct>, QSSTRESC <fct>, QSSTRESU <fct>, QSORRES <fct>, #> #   QSORRESU <fct>, QSTEST <fct>, QSTESTCD <fct>, QSREASND <fct>, #> #   QSEVLINT <fct>, VISIT <fct>, VISITNUM <int>, ASEQ <int>, PARAM <fct>, #> #   PARAMCD <fct>, PARCAT1 <fct>, PARCAT1N <dbl>, PARCAT2 <fct>, AVAL <dbl>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radqs.html","id":null,"dir":"Reference","previous_headings":"","what":"Questionnaires Analysis Dataset (ADQS) — radqs","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"Function generating random Questionnaires Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radqs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"","code":"radqs(   adsl,   param = c(\"BFI All Questions\", \"Fatigue Interference\",     \"Function/Well-Being (GF1,GF3,GF7)\", \"Treatment Side Effects (GP2,C5,GP5)\",     \"FKSI-19 All Questions\"),   paramcd = c(\"BFIALL\", \"FATIGI\", \"FKSI-FWB\", \"FKSI-TSE\", \"FKSIALL\"),   visit_format = \"WEEK\",   n_assessments = 5L,   n_days = 5L,   seed = NULL,   na_percentage = 0,   na_vars = list(LOQFL = c(NA, 0.1), ABLFL2 = c(1234, 0.1), ABLFL = c(1235, 0.1), CHG2 =     c(1235, 0.1), PCHG2 = c(1235, 0.1), CHG = c(1234, 0.1), PCHG = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radqs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADQS data cadqs returned new data generated. set TRUE arguments radqs ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radqs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radqs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, AVISITN","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radqs.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"npaszty","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radqs.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Questionnaires Analysis Dataset (ADQS) — radqs","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adqs <- radqs(adsl, visit_format = \"WEEK\", n_assessments = 7L, seed = 2) adqs #> # A tibble: 450 × 73 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 440 more rows #> # ℹ 62 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  adqs <- radqs(adsl, visit_format = \"CYCLE\", n_assessments = 3L, seed = 2) adqs #> # A tibble: 800 × 73 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 790 more rows #> # ℹ 62 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radrs.html","id":null,"dir":"Reference","previous_headings":"","what":"Tumor Response Analysis Dataset (ADRS) — radrs","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"Function generating random Tumor Response Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radrs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"","code":"radrs(   adsl,   avalc = NULL,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(AVISIT = c(NA, 0.1), AVAL = c(1234, 0.1), AVALC = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radrs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). avalc (character vector) Analysis value categories. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADRS data cadrs returned new data generated. set TRUE arguments radrs ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radrs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radrs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"One record per subject per parameter per analysis visit per analysis date. SDTM variables populated new records coming single records. Otherwise, SDTM variables left blank. Keys: STUDYID, USUBJID, PARAMCD, AVISITN, ADT, RSSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radrs.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Tumor Response Analysis Dataset (ADRS) — radrs","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adrs <- radrs(adsl, seed = 2) adrs #> # A tibble: 80 × 65 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 70 more rows #> # ℹ 54 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radsaftte.html","id":null,"dir":"Reference","previous_headings":"","what":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"Function generate random Time--Safety Event Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radsaftte.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"","code":"radsaftte(adsl, ...)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radsaftte.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). ... Additional arguments passed radaette","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radsaftte.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radsaftte.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"Keys: STUDYID, USUBJID, PARAMCD","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radsaftte.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Time to Safety Event Analysis Dataset (ADSAFTTE) — radsaftte","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adsaftte <- radsaftte(adsl, seed = 2) adsaftte #> # A tibble: 90 × 66 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 80 more rows #> # ℹ 55 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radsl.html","id":null,"dir":"Reference","previous_headings":"","what":"Subject-Level Analysis Dataset (ADSL) — radsl","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"Subject-Level Analysis Dataset (ADSL) used provide variables describe attributes subject. ADSL source subject-level variables used analysis data sets, population flags treatment variables. one ADSL per study. ADSL related metadata required CDISC-based submission data clinical trial even analysis data sets submitted.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radsl.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"","code":"radsl(   N = 400,   study_duration = 2,   seed = NULL,   with_trt02 = TRUE,   na_percentage = 0,   na_vars = list(AGE = NA, SEX = NA, RACE = NA, STRATA1 = NA, STRATA2 = NA, BMRKR1 =     c(seed = 1234, percentage = 0.1), BMRKR2 = c(1234, 0.1), BEP01FL = NA),   ae_withdrawal_prob = 0.05,   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radsl.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"N (numeric) Number patients. study_duration (numeric) Duration study years. seed (numeric) Seed use reproducible random number generation. with_trt02 (logical) period 2 added. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. ae_withdrawal_prob (proportion) Probability least one Adverse Event leading withdrawal study drug. cached boolean whether cached ADSL data cadsl returned new data generated. set TRUE arguments radsl ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radsl.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radsl.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"One record per subject. Keys: STUDYID, USUBJID","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radsl.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subject-Level Analysis Dataset (ADSL) — radsl","text":"","code":"adsl <- radsl(N = 10, study_duration = 2, seed = 1) adsl #> # A tibble: 10 × 55 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-C… id-10  CHN-3     35 YEARS M     ASIAN NOT H… CHN     N     #>  2 AB12345 AB12345-J… id-7   JPN-4     30 YEARS F     ASIAN NOT H… JPN     N     #>  3 AB12345 AB12345-U… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #>  4 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  5 AB12345 AB12345-C… id-2   CHN-11    35 YEARS M     BLAC… NOT H… CHN     N     #>  6 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  7 AB12345 AB12345-C… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #>  8 AB12345 AB12345-R… id-4   RUS-1     36 YEARS M     BLAC… NOT H… RUS     N     #>  9 AB12345 AB12345-R… id-6   RUS-1     36 YEARS F     ASIAN NOT H… RUS     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 44 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, #> #   AP01SDTM <dttm>, AP01EDTM <dttm>, AP02SDTM <dttm>, AP02EDTM <dttm>, …  adsl <- radsl(   N = 10, seed = 1,   na_percentage = 0.1,   na_vars = list(     DTHDT = c(seed = 1234, percentage = 0.1),     LSTALVDT = c(seed = 1234, percentage = 0.1)   ) ) adsl #> # A data frame: 10 × 55 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-C… id-10  CHN-3     35 YEARS M     ASIAN NOT H… CHN     N     #>  2 AB12345 AB12345-J… id-7   JPN-4     30 YEARS F     ASIAN NOT H… JPN     N     #>  3 AB12345 AB12345-U… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #>  4 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  5 AB12345 AB12345-C… id-2   CHN-11    35 YEARS M     BLAC… NOT H… CHN     N     #>  6 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  7 AB12345 AB12345-C… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #>  8 AB12345 AB12345-R… id-4   RUS-1     36 YEARS M     BLAC… NOT H… RUS     N     #>  9 AB12345 AB12345-R… id-6   RUS-1     36 YEARS F     ASIAN NOT H… RUS     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 44 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, #> #   AP01SDTM <dttm>, AP01EDTM <dttm>, AP02SDTM <dttm>, AP02EDTM <dttm>, …  adsl <- radsl(N = 10, seed = 1, na_percentage = .1) adsl #> # A data frame: 10 × 55 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-C… id-10  CHN-3     NA YEARS M     NA    NOT H… CHN     N     #>  2 AB12345 AB12345-J… id-7   JPN-4     30 YEARS NA    ASIAN NOT H… JPN     N     #>  3 AB12345 AB12345-U… id-3   USA-13    35 YEARS F     AMER… NOT H… USA     N     #>  4 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  5 AB12345 AB12345-C… id-2   CHN-11    35 YEARS M     BLAC… NOT H… CHN     N     #>  6 AB12345 AB12345-C… id-1   CHN-11    35 YEARS F     WHITE NOT H… CHN     Y     #>  7 AB12345 AB12345-C… id-5   CHN-3     36 YEARS F     ASIAN NOT H… CHN     N     #>  8 AB12345 AB12345-R… id-4   RUS-1     36 YEARS M     BLAC… NOT H… RUS     N     #>  9 AB12345 AB12345-R… id-6   RUS-1     36 YEARS F     ASIAN NOT H… RUS     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 44 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, #> #   AP01SDTM <dttm>, AP01EDTM <dttm>, AP02SDTM <dttm>, AP02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radsub.html","id":null,"dir":"Reference","previous_headings":"","what":"Subcategory Analysis Dataset (ADSUB) — radsub","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"Function generating random Subcategory Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radsub.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"","code":"radsub(   adsl,   param = c(\"Baseline Weight\", \"Baseline Height\", \"Baseline BMI\", \"Baseline ECOG\",     \"Baseline Biomarker Mutation\"),   paramcd = c(\"BWGHTSI\", \"BHGHTSI\", \"BBMISI\", \"BECOG\", \"BBMRKR1\"),   seed = NULL,   na_percentage = 0,   na_vars = list(),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radsub.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADSUB data cadsub returned new data generated. set TRUE arguments radsub ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radsub.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radsub.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"One record per subject. Keys: STUDYID, USUBJID, PARAMCD, AVISITN, ADTM, SRCSEQ","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radsub.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"tomlinsj, npaszty, Xuefeng Hou, dipietrc","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radsub.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subcategory Analysis Dataset (ADSUB) — radsub","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adsub <- radsub(adsl, seed = 2) adsub #> # A tibble: 50 × 65 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  8 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 40 more rows #> # ℹ 54 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radtr.html","id":null,"dir":"Reference","previous_headings":"","what":"Tumor Response Analysis Dataset (ADTR) — radtr","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"Function generating random Tumor Response Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radtr.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"","code":"radtr(   adsl,   param = c(\"Sum of Longest Diameter by Investigator\"),   paramcd = c(\"SLDINV\"),   seed = NULL,   cached = FALSE,   ... )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radtr.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. seed (numeric) Seed use reproducible random number generation. cached boolean whether cached ADTR data cadtr returned new data generated. set TRUE arguments radtr ignored. ... Additional arguments passed radrs.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radtr.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radtr.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, BASETYPE, AVISITN, DTYPE","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radtr.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"tomlinsj, npaszty, Xuefeng Hou, dipietrc","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radtr.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Tumor Response Analysis Dataset (ADTR) — radtr","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adtr <- radtr(adsl, seed = 2) adtr #>    STUDYID             USUBJID SUBJID SITEID AGE  AGEU SEX #> 1  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 2  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 3  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 4  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 5  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 6  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 7  AB12345  AB12345-BRA-1-id-9   id-9  BRA-1  35 YEARS   F #> 8  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 9  AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 10 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 11 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 12 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 13 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 14 AB12345  AB12345-BRA-9-id-8   id-8  BRA-9  31 YEARS   F #> 15 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 16 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 17 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 18 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 19 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 20 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 21 AB12345 AB12345-CHN-11-id-1   id-1 CHN-11  35 YEARS   F #> 22 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 23 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 24 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 25 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 26 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 27 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 28 AB12345 AB12345-CHN-11-id-2   id-2 CHN-11  35 YEARS   M #> 29 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 30 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 31 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 32 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 33 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 34 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 35 AB12345 AB12345-CHN-3-id-10  id-10  CHN-3  35 YEARS   M #> 36 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 37 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 38 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 39 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 40 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 41 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 42 AB12345  AB12345-CHN-3-id-5   id-5  CHN-3  36 YEARS   F #> 43 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 44 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 45 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 46 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 47 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 48 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 49 AB12345  AB12345-JPN-4-id-7   id-7  JPN-4  30 YEARS   F #> 50 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 51 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 52 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 53 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 54 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 55 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 56 AB12345  AB12345-RUS-1-id-4   id-4  RUS-1  36 YEARS   M #> 57 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 58 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 59 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 60 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 61 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 62 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 63 AB12345  AB12345-RUS-1-id-6   id-6  RUS-1  36 YEARS   F #> 64 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 65 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 66 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 67 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 68 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 69 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #> 70 AB12345 AB12345-USA-13-id-3   id-3 USA-13  35 YEARS   F #>                                RACE                 ETHNIC COUNTRY DTHFL #> 1         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 2         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 3         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 4         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 5         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 6         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 7         BLACK OR AFRICAN AMERICAN                UNKNOWN     BRA     N #> 8                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 9                             ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 10                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 11                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 12                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 13                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 14                            ASIAN NOT HISPANIC OR LATINO     BRA     Y #> 15                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 16                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 17                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 18                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 19                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 20                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 21                            WHITE NOT HISPANIC OR LATINO     CHN     Y #> 22        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 23        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 24        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 25        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 26        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 27        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 28        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     CHN     N #> 29                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 30                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 31                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 32                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 33                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 34                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 35                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 36                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 37                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 38                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 39                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 40                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 41                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 42                            ASIAN NOT HISPANIC OR LATINO     CHN     N #> 43                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 44                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 45                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 46                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 47                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 48                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 49                            ASIAN NOT HISPANIC OR LATINO     JPN     N #> 50        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 51        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 52        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 53        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 54        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 55        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 56        BLACK OR AFRICAN AMERICAN NOT HISPANIC OR LATINO     RUS     N #> 57                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 58                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 59                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 60                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 61                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 62                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 63                            ASIAN NOT HISPANIC OR LATINO     RUS     N #> 64 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 65 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 66 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 67 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 68 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 69 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #> 70 AMERICAN INDIAN OR ALASKA NATIVE NOT HISPANIC OR LATINO     USA     N #>            INVID         INVNAM            ARM ARMCD         ACTARM ACTARMCD #> 1   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 2   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 3   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 4   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 5   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 6   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 7   INV ID BRA-1  Dr. BRA-1 Doe C: Combination ARM C C: Combination    ARM C #> 8   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 9   INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 10  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 11  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 12  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 13  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 14  INV ID BRA-9  Dr. BRA-9 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 15 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 16 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 17 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 18 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 19 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 20 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 21 INV ID CHN-11 Dr. CHN-11 Doe C: Combination ARM C C: Combination    ARM C #> 22 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 23 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 24 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 25 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 26 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 27 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 28 INV ID CHN-11 Dr. CHN-11 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 29  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 30  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 31  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 32  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 33  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 34  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 35  INV ID CHN-3  Dr. CHN-3 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 36  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 37  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 38  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 39  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 40  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 41  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 42  INV ID CHN-3  Dr. CHN-3 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 43  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 44  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 45  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 46  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 47  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 48  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 49  INV ID JPN-4  Dr. JPN-4 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 50  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 51  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 52  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 53  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 54  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 55  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 56  INV ID RUS-1  Dr. RUS-1 Doe     B: Placebo ARM B     B: Placebo    ARM B #> 57  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 58  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 59  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 60  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 61  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 62  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 63  INV ID RUS-1  Dr. RUS-1 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 64 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 65 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 66 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 67 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 68 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 69 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #> 70 INV ID USA-13 Dr. USA-13 Doe      A: Drug X ARM A      A: Drug X    ARM A #>            TRT01P         TRT01A         TRT02P         TRT02A       REGION1 #> 1  C: Combination C: Combination      A: Drug X C: Combination South America #> 2  C: Combination C: Combination      A: Drug X C: Combination South America #> 3  C: Combination C: Combination      A: Drug X C: Combination South America #> 4  C: Combination C: Combination      A: Drug X C: Combination South America #> 5  C: Combination C: Combination      A: Drug X C: Combination South America #> 6  C: Combination C: Combination      A: Drug X C: Combination South America #> 7  C: Combination C: Combination      A: Drug X C: Combination South America #> 8       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 9       A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 10      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 11      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 12      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 13      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 14      A: Drug X      A: Drug X      A: Drug X      A: Drug X South America #> 15 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 16 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 17 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 18 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 19 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 20 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 21 C: Combination C: Combination     B: Placebo     B: Placebo          Asia #> 22      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 23      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 24      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 25      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 26      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 27      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 28      A: Drug X      A: Drug X      A: Drug X      A: Drug X          Asia #> 29     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 30     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 31     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 32     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 33     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 34     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 35     B: Placebo     B: Placebo      A: Drug X      A: Drug X          Asia #> 36      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 37      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 38      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 39      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 40      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 41      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 42      A: Drug X      A: Drug X      A: Drug X C: Combination          Asia #> 43      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 44      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 45      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 46      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 47      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 48      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 49      A: Drug X      A: Drug X C: Combination     B: Placebo          Asia #> 50     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 51     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 52     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 53     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 54     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 55     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 56     B: Placebo     B: Placebo      A: Drug X      A: Drug X       Eurasia #> 57      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 58      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 59      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 60      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 61      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 62      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 63      A: Drug X      A: Drug X C: Combination      A: Drug X       Eurasia #> 64      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 65      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 66      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 67      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 68      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 69      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #> 70      A: Drug X      A: Drug X     B: Placebo      A: Drug X North America #>    STRATA1 STRATA2    BMRKR1 BMRKR2 ITTFL SAFFL BMEASIFL BEP01FL AEWITHFL #> 1        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 2        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 3        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 4        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 5        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 6        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 7        A      S1  6.922043   HIGH     Y     Y        Y       N        N #> 8        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 9        B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 10       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 11       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 12       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 13       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 14       B      S2 11.277028 MEDIUM     Y     Y        Y       Y        N #> 15       B      S1  8.926907    LOW     Y     Y        N       N        N #> 16       B      S1  8.926907    LOW     Y     Y        N       N        N #> 17       B      S1  8.926907    LOW     Y     Y        N       N        N #> 18       B      S1  8.926907    LOW     Y     Y        N       N        N #> 19       B      S1  8.926907    LOW     Y     Y        N       N        N #> 20       B      S1  8.926907    LOW     Y     Y        N       N        N #> 21       B      S1  8.926907    LOW     Y     Y        N       N        N #> 22       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 23       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 24       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 25       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 26       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 27       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 28       C      S2  4.084350   HIGH     Y     Y        Y       Y        N #> 29       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 30       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 31       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 32       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 33       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 34       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 35       A      S1  1.777905    LOW     Y     Y        N       Y        N #> 36       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 37       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 38       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 39       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 40       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 41       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 42       A      S2  2.619796    LOW     Y     Y        Y       N        N #> 43       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 44       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 45       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 46       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 47       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 48       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 49       B      S1  7.459420 MEDIUM     Y     Y        Y       N        N #> 50       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 51       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 52       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 53       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 54       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 55       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 56       A      S1  9.952892 MEDIUM     Y     Y        Y       N        N #> 57       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 58       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 59       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 60       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 61       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 62       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 63       B      S1  9.342782 MEDIUM     Y     Y        N       N        N #> 64       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 65       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 66       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 67       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 68       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 69       C      S1  7.254058    LOW     Y     Y        Y       N        N #> 70       C      S1  7.254058    LOW     Y     Y        Y       N        N #>        RANDDT             TRTSDTM             TRTEDTM           TRT01SDTM #> 1  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 2  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 3  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 4  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 5  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 6  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 7  2021-01-17 2021-01-17 22:43:53 2024-01-18 16:43:53 2021-01-17 22:43:53 #> 8  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 9  2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 10 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 11 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 12 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 13 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 14 2020-01-18 2020-01-21 10:19:08 2021-10-16 19:37:36 2020-01-21 10:19:08 #> 15 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 16 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 17 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 18 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 19 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 20 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 21 2020-04-29 2020-05-02 02:28:45 2021-09-08 20:09:38 2020-05-02 02:28:45 #> 22 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 23 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 24 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 25 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 26 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 27 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 28 2020-02-23 2020-02-26 18:15:59                <NA> 2020-02-26 18:15:59 #> 29 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 30 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 31 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 32 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 33 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 34 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 35 2019-03-24 2019-03-28 12:07:16 2022-03-28 06:07:16 2019-03-28 12:07:16 #> 36 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 37 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 38 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 39 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 40 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 41 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 42 2020-06-24 2020-06-27 04:48:00 2023-06-27 22:48:00 2020-06-27 04:48:00 #> 43 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 44 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 45 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 46 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 47 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 48 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 49 2019-09-22 2019-09-22 02:25:18 2022-09-21 20:25:18 2019-09-22 02:25:18 #> 50 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 51 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 52 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 53 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 54 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 55 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 56 2020-08-27 2020-08-28 20:42:09 2022-01-23 08:46:48 2020-08-28 20:42:09 #> 57 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 58 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 59 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 60 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 61 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 62 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 63 2020-10-24 2020-10-26 22:16:26 2023-10-27 16:16:26 2020-10-26 22:16:26 #> 64 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 65 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 66 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 67 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 68 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 69 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #> 70 2019-10-16 2019-10-17 17:56:02 2022-10-17 11:56:02 2019-10-17 17:56:02 #>              TRT01EDTM           TRT02SDTM           TRT02EDTM #> 1  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 2  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 3  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 4  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 5  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 6  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 7  2023-01-18 10:43:53 2023-01-18 10:43:53 2024-01-18 16:43:53 #> 8  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 9  2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 10 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 11 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 12 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 13 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 14 2020-10-16 13:37:36 2020-10-16 13:37:36 2021-10-16 19:37:36 #> 15 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 16 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 17 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 18 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 19 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 20 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 21 2020-09-08 14:09:38 2020-09-08 14:09:38 2021-09-08 20:09:38 #> 22                <NA>                <NA>                <NA> #> 23                <NA>                <NA>                <NA> #> 24                <NA>                <NA>                <NA> #> 25                <NA>                <NA>                <NA> #> 26                <NA>                <NA>                <NA> #> 27                <NA>                <NA>                <NA> #> 28                <NA>                <NA>                <NA> #> 29 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 30 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 31 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 32 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 33 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 34 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 35 2021-03-28 00:07:16 2021-03-28 00:07:16 2022-03-28 06:07:16 #> 36 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 37 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 38 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 39 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 40 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 41 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 42 2022-06-27 16:48:00 2022-06-27 16:48:00 2023-06-27 22:48:00 #> 43 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 44 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 45 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 46 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 47 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 48 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 49 2021-09-21 14:25:18 2021-09-21 14:25:18 2022-09-21 20:25:18 #> 50 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 51 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 52 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 53 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 54 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 55 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 56 2021-01-23 02:46:48 2021-01-23 02:46:48 2022-01-23 08:46:48 #> 57 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 58 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 59 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 60 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 61 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 62 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 63 2022-10-27 10:16:26 2022-10-27 10:16:26 2023-10-27 16:16:26 #> 64 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 65 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 66 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 67 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 68 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 69 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #> 70 2021-10-17 05:56:02 2021-10-17 05:56:02 2022-10-17 11:56:02 #>               AP01SDTM            AP01EDTM            AP02SDTM #> 1  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 2  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 3  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 4  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 5  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 6  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 7  2021-01-17 22:43:53 2023-01-18 10:43:53 2023-01-18 10:43:53 #> 8  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 9  2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 10 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 11 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 12 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 13 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 14 2020-01-21 10:19:08 2020-10-16 13:37:36 2020-10-16 13:37:36 #> 15 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 16 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 17 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 18 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 19 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 20 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 21 2020-05-02 02:28:45 2020-09-08 14:09:38 2020-09-08 14:09:38 #> 22 2020-02-26 18:15:59                <NA>                <NA> #> 23 2020-02-26 18:15:59                <NA>                <NA> #> 24 2020-02-26 18:15:59                <NA>                <NA> #> 25 2020-02-26 18:15:59                <NA>                <NA> #> 26 2020-02-26 18:15:59                <NA>                <NA> #> 27 2020-02-26 18:15:59                <NA>                <NA> #> 28 2020-02-26 18:15:59                <NA>                <NA> #> 29 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 30 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 31 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 32 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 33 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 34 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 35 2019-03-28 12:07:16 2021-03-28 00:07:16 2021-03-28 00:07:16 #> 36 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 37 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 38 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 39 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 40 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 41 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 42 2020-06-27 04:48:00 2022-06-27 16:48:00 2022-06-27 16:48:00 #> 43 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 44 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 45 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 46 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 47 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 48 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 49 2019-09-22 02:25:18 2021-09-21 14:25:18 2021-09-21 14:25:18 #> 50 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 51 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 52 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 53 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 54 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 55 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 56 2020-08-28 20:42:09 2021-01-23 02:46:48 2021-01-23 02:46:48 #> 57 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 58 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 59 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 60 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 61 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 62 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 63 2020-10-26 22:16:26 2022-10-27 10:16:26 2022-10-27 10:16:26 #> 64 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 65 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 66 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 67 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 68 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 69 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #> 70 2019-10-17 17:56:02 2021-10-17 05:56:02 2021-10-17 05:56:02 #>               AP02EDTM       EOSSTT       EOTSTT      EOSDT EOSDY       DCSREAS #> 1  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 2  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 3  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 4  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 5  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 6  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 7  2024-01-18 16:43:53    COMPLETED    COMPLETED 2024-01-18  1096          <NA> #> 8  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 9  2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 10 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 11 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 12 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 13 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 14 2021-10-16 19:37:36 DISCONTINUED DISCONTINUED 2021-10-16   635         DEATH #> 15 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 16 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 17 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 18 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 19 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 20 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 21 2021-09-08 20:09:38 DISCONTINUED DISCONTINUED 2021-09-08   495         DEATH #> 22                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 23                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 24                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 25                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 26                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 27                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 28                <NA>      ONGOING      ONGOING       <NA>    NA          <NA> #> 29 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 30 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 31 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 32 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 33 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 34 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 35 2022-03-28 06:07:16    COMPLETED    COMPLETED 2022-03-28  1096          <NA> #> 36 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 37 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 38 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 39 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 40 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 41 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 42 2023-06-27 22:48:00    COMPLETED    COMPLETED 2023-06-27  1096          <NA> #> 43 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 44 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 45 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 46 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 47 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 48 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 49 2022-09-21 20:25:18    COMPLETED    COMPLETED 2022-09-21  1096          <NA> #> 50 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 51 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 52 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 53 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 54 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 55 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 56 2022-01-23 08:46:48 DISCONTINUED DISCONTINUED 2022-01-23   513 ADVERSE EVENT #> 57 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 58 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 59 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 60 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 61 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 62 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 63 2023-10-27 16:16:26    COMPLETED    COMPLETED 2023-10-27  1096          <NA> #> 64 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 65 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 66 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 67 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 68 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 69 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #> 70 2022-10-17 11:56:02    COMPLETED    COMPLETED 2022-10-17  1096          <NA> #>         DTHDT             DTHCAUS              DTHCAT LDDTHELD LDDTHGR1 #> 1        <NA>                <NA>                <NA>       NA     <NA> #> 2        <NA>                <NA>                <NA>       NA     <NA> #> 3        <NA>                <NA>                <NA>       NA     <NA> #> 4        <NA>                <NA>                <NA>       NA     <NA> #> 5        <NA>                <NA>                <NA>       NA     <NA> #> 6        <NA>                <NA>                <NA>       NA     <NA> #> 7        <NA>                <NA>                <NA>       NA     <NA> #> 8  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 9  2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 10 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 11 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 12 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 13 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 14 2021-11-23 DISEASE PROGRESSION PROGRESSIVE DISEASE       38      >30 #> 15 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 16 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 17 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 18 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 19 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 20 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 21 2021-09-27       ADVERSE EVENT       ADVERSE EVENT       19     <=30 #> 22       <NA>                <NA>                <NA>       NA     <NA> #> 23       <NA>                <NA>                <NA>       NA     <NA> #> 24       <NA>                <NA>                <NA>       NA     <NA> #> 25       <NA>                <NA>                <NA>       NA     <NA> #> 26       <NA>                <NA>                <NA>       NA     <NA> #> 27       <NA>                <NA>                <NA>       NA     <NA> #> 28       <NA>                <NA>                <NA>       NA     <NA> #> 29       <NA>                <NA>                <NA>       NA     <NA> #> 30       <NA>                <NA>                <NA>       NA     <NA> #> 31       <NA>                <NA>                <NA>       NA     <NA> #> 32       <NA>                <NA>                <NA>       NA     <NA> #> 33       <NA>                <NA>                <NA>       NA     <NA> #> 34       <NA>                <NA>                <NA>       NA     <NA> #> 35       <NA>                <NA>                <NA>       NA     <NA> #> 36       <NA>                <NA>                <NA>       NA     <NA> #> 37       <NA>                <NA>                <NA>       NA     <NA> #> 38       <NA>                <NA>                <NA>       NA     <NA> #> 39       <NA>                <NA>                <NA>       NA     <NA> #> 40       <NA>                <NA>                <NA>       NA     <NA> #> 41       <NA>                <NA>                <NA>       NA     <NA> #> 42       <NA>                <NA>                <NA>       NA     <NA> #> 43       <NA>                <NA>                <NA>       NA     <NA> #> 44       <NA>                <NA>                <NA>       NA     <NA> #> 45       <NA>                <NA>                <NA>       NA     <NA> #> 46       <NA>                <NA>                <NA>       NA     <NA> #> 47       <NA>                <NA>                <NA>       NA     <NA> #> 48       <NA>                <NA>                <NA>       NA     <NA> #> 49       <NA>                <NA>                <NA>       NA     <NA> #> 50       <NA>                <NA>                <NA>       NA     <NA> #> 51       <NA>                <NA>                <NA>       NA     <NA> #> 52       <NA>                <NA>                <NA>       NA     <NA> #> 53       <NA>                <NA>                <NA>       NA     <NA> #> 54       <NA>                <NA>                <NA>       NA     <NA> #> 55       <NA>                <NA>                <NA>       NA     <NA> #> 56       <NA>                <NA>                <NA>       NA     <NA> #> 57       <NA>                <NA>                <NA>       NA     <NA> #> 58       <NA>                <NA>                <NA>       NA     <NA> #> 59       <NA>                <NA>                <NA>       NA     <NA> #> 60       <NA>                <NA>                <NA>       NA     <NA> #> 61       <NA>                <NA>                <NA>       NA     <NA> #> 62       <NA>                <NA>                <NA>       NA     <NA> #> 63       <NA>                <NA>                <NA>       NA     <NA> #> 64       <NA>                <NA>                <NA>       NA     <NA> #> 65       <NA>                <NA>                <NA>       NA     <NA> #> 66       <NA>                <NA>                <NA>       NA     <NA> #> 67       <NA>                <NA>                <NA>       NA     <NA> #> 68       <NA>                <NA>                <NA>       NA     <NA> #> 69       <NA>                <NA>                <NA>       NA     <NA> #> 70       <NA>                <NA>                <NA>       NA     <NA> #>      LSTALVDT DTHADY ADTHAUT AGEGR1   TRTDURD DCSREAS_GRP #> 1  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 2  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 3  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 4  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 5  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 6  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 7  2024-02-10     NA    <NA>    <65 1094.7500        <NA> #> 8  2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 9  2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 10 2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 11 2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 12 2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 13 2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 14 2021-11-23    671     Yes    <65  633.3878  Non-Safety #> 15 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 16 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 17 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 18 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 19 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 20 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 21 2021-09-27    512     Yes    <65  493.7367  Non-Safety #> 22       <NA>     NA    <NA>    <65        NA        <NA> #> 23       <NA>     NA    <NA>    <65        NA        <NA> #> 24       <NA>     NA    <NA>    <65        NA        <NA> #> 25       <NA>     NA    <NA>    <65        NA        <NA> #> 26       <NA>     NA    <NA>    <65        NA        <NA> #> 27       <NA>     NA    <NA>    <65        NA        <NA> #> 28       <NA>     NA    <NA>    <65        NA        <NA> #> 29 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 30 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 31 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 32 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 33 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 34 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 35 2022-04-14     NA    <NA>    <65 1094.7500        <NA> #> 36 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 37 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 38 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 39 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 40 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 41 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 42 2023-07-10     NA    <NA>    <65 1094.7500        <NA> #> 43 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 44 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 45 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 46 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 47 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 48 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 49 2022-10-09     NA    <NA>    <65 1094.7500        <NA> #> 50 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 51 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 52 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 53 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 54 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 55 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 56 2022-02-12     NA    <NA>    <65  511.5032      Safety #> 57 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 58 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 59 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 60 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 61 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 62 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 63 2023-11-13     NA    <NA>    <65 1094.7500        <NA> #> 64 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 65 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 66 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 67 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 68 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 69 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #> 70 2022-10-30     NA    <NA>    <65 1094.7500        <NA> #>                                      PARAM PARAMCD                AVISIT #> 1  Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 2  Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 3  Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 4  Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 5  Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 6  Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 7  Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 8  Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 9  Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 10 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 11 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 12 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 13 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 14 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 15 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 16 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 17 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 18 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 19 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 20 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 21 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 22 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 23 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 24 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 25 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 26 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 27 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 28 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 29 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 30 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 31 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 32 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 33 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 34 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 35 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 36 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 37 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 38 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 39 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 40 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 41 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 42 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 43 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 44 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 45 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 46 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 47 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 48 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 49 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 50 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 51 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 52 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 53 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 54 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 55 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 56 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 57 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #> 58 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 59 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 60 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 61 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 62 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 63 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 64 Sum of Longest Diameter by Investigator  SLDINV POST-BASELINE MINIMUM #> 65 Sum of Longest Diameter by Investigator  SLDINV      END OF INDUCTION #> 66 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 4 DAY 1 #> 67 Sum of Longest Diameter by Investigator  SLDINV             FOLLOW UP #> 68 Sum of Longest Diameter by Investigator  SLDINV             SCREENING #> 69 Sum of Longest Diameter by Investigator  SLDINV         CYCLE 2 DAY 1 #> 70 Sum of Longest Diameter by Investigator  SLDINV              BASELINE #>    AVISITN       ADTM  ADY   DTYPE      AVAL            AVALC AVALU     BASE #> 1      999 2022-12-07  689         170.92083 170.920832028446    mm 113.2925 #> 2        4 2022-12-20  702 MINIMUM 129.31849 129.318489083911    mm 113.2925 #> 3       -1 2020-10-09 -100         176.74793 176.747928468497    mm 113.2925 #> 4        0 2021-01-17    0                NA             <NA>    mm 113.2925 #> 5        2 2022-10-21  642         155.21502 155.215022960478    mm 113.2925 #> 6        4 2022-12-20  702         129.31849 129.318489083911    mm 113.2925 #> 7      999 2021-10-16  272         186.12497  186.12497059324    mm 113.2925 #> 8      999 2020-09-07  230         162.83456 162.834559197379    mm 137.2934 #> 9        4 2021-01-03  348         203.88264 203.882642391259    mm 137.2934 #> 10     999 2021-08-17  574         177.21001 177.210013002554    mm 137.2934 #> 11     999 2020-09-07  230 MINIMUM 162.83456 162.834559197379    mm 137.2934 #> 12       0 2020-01-21    0                NA             <NA>    mm 137.2934 #> 13       2 2020-11-04  288         192.00660 192.006595354685    mm 137.2934 #> 14      -1 2019-10-13 -100         134.70663 134.706625614629    mm 137.2934 #> 15       4 2021-08-28  483         168.40263 168.402625087087    mm 132.9968 #> 16     999 2021-04-27  360 MINIMUM 133.52191 133.521905548814    mm 132.9968 #> 17      -1 2020-01-23 -100         142.36212 142.362118285105    mm 132.9968 #> 18       2 2021-06-29  423         134.27664 134.276636235556    mm 132.9968 #> 19     999 2020-08-19  109         135.26523 135.265230236085    mm 132.9968 #> 20       0 2020-05-02    0                NA             <NA>    mm 132.9968 #> 21     999 2021-04-27  360         133.52191 133.521905548814    mm 132.9968 #> 22       0 2020-02-26    0                NA             <NA>    mm 141.9365 #> 23      -1 2019-11-18 -100         139.30736 139.307364831736    mm 141.9365 #> 24     999 2021-03-06  374         198.01823 198.018230416784    mm 141.9365 #> 25       2 2021-05-26  455         132.88408 132.884083286846    mm 141.9365 #> 26     999 2020-03-05    8         133.57914  133.57913565285    mm 141.9365 #> 27       4 2021-07-25  515 MINIMUM 121.63978 121.639776669181    mm 141.9365 #> 28       4 2021-07-25  515         121.63978 121.639776669181    mm 141.9365 #> 29       2 2020-01-25  303         209.04787 209.047870741207    mm 161.6451 #> 30       4 2020-03-25  363         152.92758 152.927578195138    mm 161.6451 #> 31       0 2019-03-28    0                NA             <NA>    mm 161.6451 #> 32     999 2021-11-14  962         187.63126 187.631264810984    mm 161.6451 #> 33     999 2020-07-05  465 MINIMUM 111.73624 111.736235465107    mm 161.6451 #> 34     999 2020-07-05  465         111.73624 111.736235465107    mm 161.6451 #> 35      -1 2018-12-18 -100         171.03331 171.033308539064    mm 161.6451 #> 36       2 2022-11-05  861         153.31581 153.315812444564    mm 117.4207 #> 37     999 2023-03-28 1004         179.47970 179.479703823713    mm 117.4207 #> 38     999 2022-05-03  675         173.19144 173.191438067149    mm 117.4207 #> 39       0 2020-06-27    0                NA             <NA>    mm 117.4207 #> 40       2 2022-11-05  861 MINIMUM 153.31581 153.315812444564    mm 117.4207 #> 41       4 2023-01-04  921         155.42461 155.424614142239    mm 117.4207 #> 42      -1 2020-03-19 -100         174.64144 174.641438730238    mm 117.4207 #> 43       4 2021-09-18  727 MINIMUM 120.75645 120.756454557208    mm 107.3777 #> 44     999 2020-12-11  446         122.32514 122.325137102402    mm 107.3777 #> 45       0 2019-09-22    0                NA             <NA>    mm 107.3777 #> 46     999 2020-09-13  357         124.91752 124.917520384125    mm 107.3777 #> 47      -1 2019-06-14 -100         170.10272 170.102716143127    mm 107.3777 #> 48       2 2021-07-20  667         142.91768  142.91768207549    mm 107.3777 #> 49       4 2021-09-18  727         120.75645 120.756454557208    mm 107.3777 #> 50      -1 2020-05-20 -100         116.29608 116.296079891356    mm 161.1686 #> 51       2 2021-07-21  327         207.32206 207.322064439334    mm 161.1686 #> 52       4 2021-09-19  387         177.35987 177.359868282648    mm 161.1686 #> 53       0 2020-08-28    0                NA             <NA>    mm 161.1686 #> 54     999 2021-02-25  181 MINIMUM 125.44212 125.442123033571    mm 161.1686 #> 55     999 2021-10-20  418         128.86572 128.865720965572    mm 161.1686 #> 56     999 2021-02-25  181         125.44212 125.442123033571    mm 161.1686 #> 57       0 2020-10-26    0                NA             <NA>    mm 163.2708 #> 58      -1 2020-07-18 -100         151.82471 151.824708256163    mm 163.2708 #> 59     999 2021-04-09  165         125.77553 125.775527169834    mm 163.2708 #> 60     999 2023-03-25  880         195.61622 195.616215766854    mm 163.2708 #> 61       4 2023-02-09  836 MINIMUM  82.85676 82.8567640271941    mm 163.2708 #> 62       2 2022-12-11  776         102.75526  102.75525794363    mm 163.2708 #> 63       4 2023-02-09  836          82.85676 82.8567640271941    mm 163.2708 #> 64     999 2020-06-13  240 MINIMUM 137.60168  137.60167522998    mm 181.6170 #> 65     999 2021-12-03  778         152.16982 152.169817521355    mm 181.6170 #> 66       4 2022-04-04  900         178.59575 178.595745543059    mm 181.6170 #> 67     999 2020-06-13  240         137.60168  137.60167522998    mm 181.6170 #> 68      -1 2019-07-09 -100         148.93469 148.934693049719    mm 181.6170 #> 69       2 2022-02-03  840         148.18341 148.183410802958    mm 181.6170 #> 70       0 2019-10-17    0                NA             <NA>    mm 181.6170 #>    ABLFL         CHG        PCHG ONTRTFL ANL01FL ANL02FL ANL03FL #> 1         57.6283037  50.8668175       Y       Y                 #> 2         16.0259607  14.1456466       Y                       Y #> 3                 NA          NA                                 #> 4      Y          NA          NA                       Y       Y #> 5         41.9224946  37.0037594       Y       Y                 #> 6         16.0259607  14.1456466       Y       Y       Y         #> 7         72.8324422  64.2870658               Y                 #> 8         25.5411754  18.6033549       Y       Y                 #> 9         66.5892586  48.5014331       Y       Y                 #> 10        39.9166292  29.0739642               Y       Y         #> 11        25.5411754  18.6033549       Y                       Y #> 12     Y          NA          NA                       Y       Y #> 13        54.7132116  39.8513097       Y       Y                 #> 14                NA          NA                                 #> 15        35.4058146  26.6215517       Y       Y       Y         #> 16         0.5250951   0.3948178       Y                       Y #> 17                NA          NA                                 #> 18         1.2798258   0.9622981       Y       Y                 #> 19         2.2684198   1.7056197       Y       Y                 #> 20     Y          NA          NA                       Y       Y #> 21         0.5250951   0.3948178               Y                 #> 22     Y          NA          NA                       Y       Y #> 23                NA          NA                                 #> 24        56.0817767  39.5118909       Y       Y                 #> 25        -9.0523704  -6.3777629       Y       Y                 #> 26        -8.3573181  -5.8880702               Y                 #> 27       -20.2966771 -14.2998339       Y                       Y #> 28       -20.2966771 -14.2998339       Y       Y       Y         #> 29        47.4028071  29.3252426       Y       Y                 #> 30        -8.7174854  -5.3929797       Y       Y                 #> 31     Y          NA          NA                       Y       Y #> 32        25.9862012  16.0760871       Y       Y       Y         #> 33       -49.9088282 -30.8755659       Y                       Y #> 34       -49.9088282 -30.8755659               Y                 #> 35                NA          NA                                 #> 36        35.8951600  30.5697160       Y       Y                 #> 37        62.0590514  52.8519048       Y       Y       Y         #> 38        55.7707856  47.4965728               Y                 #> 39     Y          NA          NA                       Y       Y #> 40        35.8951600  30.5697160       Y                       Y #> 41        38.0039617  32.3656537       Y       Y                 #> 42                NA          NA                                 #> 43        13.3787815  12.4595562       Y                       Y #> 44        14.9474641  13.9204582       Y       Y                 #> 45     Y          NA          NA                       Y       Y #> 46        17.5398474  16.3347248               Y                 #> 47                NA          NA                                 #> 48        35.5400090  33.0981367       Y       Y                 #> 49        13.3787815  12.4595562       Y       Y       Y         #> 50                NA          NA                                 #> 51        46.1534587  28.6367549       Y       Y                 #> 52        16.1912625  10.0461640       Y       Y                 #> 53     Y          NA          NA                       Y       Y #> 54       -35.7264827 -22.1671476       Y                       Y #> 55       -32.3028848 -20.0429138       Y       Y       Y         #> 56       -35.7264827 -22.1671476               Y                 #> 57     Y          NA          NA                       Y       Y #> 58                NA          NA                                 #> 59       -37.4952615 -22.9650765               Y                 #> 60        32.3454271  19.8109089       Y       Y       Y         #> 61       -80.4140246 -49.2519362       Y                       Y #> 62       -60.5155307 -37.0645179       Y       Y                 #> 63       -80.4140246 -49.2519362       Y       Y                 #> 64       -44.0153038 -24.2352362       Y                       Y #> 65       -29.4471615 -16.2138814       Y       Y                 #> 66        -3.0212335  -1.6635193       Y       Y       Y         #> 67       -44.0153038 -24.2352362               Y                 #> 68                NA          NA                                 #> 69       -33.4335682 -18.4088340       Y       Y                 #> 70     Y          NA          NA                       Y       Y"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radtte.html","id":null,"dir":"Reference","previous_headings":"","what":"Time-to-Event Analysis Dataset (ADTTE) — radtte","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"Function generating random Time--Event Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radtte.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"","code":"radtte(   adsl,   event_descr = NULL,   censor_descr = NULL,   lookup = NULL,   seed = NULL,   na_percentage = 0,   na_vars = list(CNSR = c(NA, 0.1), AVAL = c(1234, 0.1), AVALU = c(1234, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radtte.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). event_descr (character vector) Descriptions events. Defaults NULL. censor_descr (character vector) Descriptions censors. Defaults NULL. lookup (data.frame) Additional parameters. seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADTTE data cadtte returned new data generated. set TRUE arguments radtte ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radtte.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radtte.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"Keys: STUDYID, USUBJID, PARAMCD","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radtte.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Time-to-Event Analysis Dataset (ADTTE) — radtte","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  adtte <- radtte(adsl, seed = 2) adtte #> # A tibble: 50 × 67 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  7 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  8 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #>  9 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> 10 AB12345 AB12345-B… id-8   BRA-9     31 YEARS F     ASIAN NOT H… BRA     Y     #> # ℹ 40 more rows #> # ℹ 56 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radvs.html","id":null,"dir":"Reference","previous_headings":"","what":"Vital Signs Analysis Dataset (ADVS) — radvs","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"Function generating random Vital Signs Analysis Dataset given Subject-Level Analysis Dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radvs.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"","code":"radvs(   adsl,   param = c(\"Diastolic Blood Pressure\", \"Pulse Rate\", \"Respiratory Rate\",     \"Systolic Blood Pressure\", \"Temperature\", \"Weight\"),   paramcd = c(\"DIABP\", \"PULSE\", \"RESP\", \"SYSBP\", \"TEMP\", \"WEIGHT\"),   paramu = c(\"Pa\", \"beats/min\", \"breaths/min\", \"Pa\", \"C\", \"Kg\"),   visit_format = \"WEEK\",   n_assessments = 5L,   n_days = 5L,   seed = NULL,   na_percentage = 0,   na_vars = list(CHG2 = c(1235, 0.1), PCHG2 = c(1235, 0.1), CHG = c(1234, 0.1), PCHG =     c(1234, 0.1), AVAL = c(123, 0.1), AVALU = c(123, 0.1)),   cached = FALSE )"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radvs.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"adsl (data.frame) Subject-Level Analysis Dataset (ADSL). param (character vector) Parameter values. paramcd (character vector) Parameter code values. paramu (character vector) Parameter unit values. visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\"). seed (numeric) Seed use reproducible random number generation. na_percentage (proportion) Default percentage values replaced NA. na_vars (list) named list name element column name ds. element list numeric vector two elements: seed (numeric) seed used element - can NA. percentage (proportion) Percentage elements replaced NA. NA, na_percentage used default. cached boolean whether cached ADVS data cadvs returned new data generated. set TRUE arguments radvs ignored.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radvs.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"data.frame","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radvs.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"One record per subject per parameter per analysis visit per analysis date. Keys: STUDYID, USUBJID, PARAMCD, BASETYPE, AVISITN, ATPTN, DTYPE, ADTM, VSSEQ, ASPID","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radvs.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"npaszty","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/radvs.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Vital Signs Analysis Dataset (ADVS) — radvs","text":"","code":"adsl <- radsl(N = 10, seed = 1, study_duration = 2)  advs <- radvs(adsl, visit_format = \"WEEK\", n_assessments = 7L, seed = 2) advs #> # A tibble: 540 × 87 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 530 more rows #> # ℹ 76 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …  advs <- radvs(adsl, visit_format = \"CYCLE\", n_assessments = 3L, seed = 2) advs #> # A tibble: 960 × 87 #>    STUDYID USUBJID    SUBJID SITEID   AGE AGEU  SEX   RACE  ETHNIC COUNTRY DTHFL #>    <chr>   <chr>      <chr>  <chr>  <int> <fct> <fct> <fct> <fct>  <fct>   <fct> #>  1 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  2 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  3 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  4 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  5 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  6 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  7 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  8 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #>  9 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> 10 AB12345 AB12345-B… id-9   BRA-1     35 YEARS F     BLAC… UNKNO… BRA     N     #> # ℹ 950 more rows #> # ℹ 76 more variables: INVID <chr>, INVNAM <chr>, ARM <fct>, ARMCD <fct>, #> #   ACTARM <fct>, ACTARMCD <fct>, TRT01P <fct>, TRT01A <fct>, TRT02P <fct>, #> #   TRT02A <fct>, REGION1 <fct>, STRATA1 <fct>, STRATA2 <fct>, BMRKR1 <dbl>, #> #   BMRKR2 <fct>, ITTFL <fct>, SAFFL <fct>, BMEASIFL <fct>, BEP01FL <fct>, #> #   AEWITHFL <fct>, RANDDT <date>, TRTSDTM <dttm>, TRTEDTM <dttm>, #> #   TRT01SDTM <dttm>, TRT01EDTM <dttm>, TRT02SDTM <dttm>, TRT02EDTM <dttm>, …"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/random.cdisc.data-package.html","id":null,"dir":"Reference","previous_headings":"","what":"random.cdisc.data Package — random.cdisc.data-package","title":"random.cdisc.data Package — random.cdisc.data-package","text":"Package create random SDTM ADAM datasets.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/random.cdisc.data-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"random.cdisc.data Package — random.cdisc.data-package","text":"Maintainer: Joe Zhu joe.zhu@roche.com Authors: Pawel Rucki pawel.rucki@roche.com Nick Paszty npaszty@gene.com Jana Stoilova jana.stoilova@roche.com Davide Garolini davide.garolini@roche.com Emily de la Rua emily.de_la_rua@contractors.roche.com Christopher DiPietrantonio Adrian Waddell adrian.waddell@gene.com contributors: F. Hoffmann-La Roche AG [copyright holder, funder]","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/rcd_var_relabel.html","id":null,"dir":"Reference","previous_headings":"","what":"Primary Keys: Labels — rcd_var_relabel","title":"Primary Keys: Labels — rcd_var_relabel","text":"Shallow copy formatters::var_relabel(). Used mainly internally relabel subset variables data set.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/rcd_var_relabel.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Primary Keys: Labels — rcd_var_relabel","text":"","code":"rcd_var_relabel(x, ...)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/rcd_var_relabel.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Primary Keys: Labels — rcd_var_relabel","text":"x (data.frame) Data frame containing variables labels applied. ... (named character) Name-Value pairs, name corresponds variable name x value new variable label.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/rcd_var_relabel.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Primary Keys: Labels — rcd_var_relabel","text":"x (data.frame) Data frame labels applied.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/rel_var.html","id":null,"dir":"Reference","previous_headings":"","what":"Related Variables: Assign — rel_var","title":"Related Variables: Assign — rel_var","text":"Assign values related variable within domain.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/rel_var.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Related Variables: Assign — rel_var","text":"","code":"rel_var(df, var_name, related_var, var_values = NULL)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/rel_var.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Related Variables: Assign — rel_var","text":"df (data.frame) Data frame containing related variables. var_name (character) Name variable related rel_var add df. related_var (character) Name variable within df values values var_name must relate. var_values () Vector values related values related_var.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/rel_var.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Related Variables: Assign — rel_var","text":"df added factor variable var_name containing var_values corresponding related_var.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/rel_var.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Related Variables: Assign — rel_var","text":"","code":"# Example with data.frame. params <- c(\"Level A\", \"Level B\", \"Level C\") adlb_df <- data.frame(   ID = 1:9,   PARAM = factor(     rep(c(\"Level A\", \"Level B\", \"Level C\"), 3),     levels = params   ) ) rel_var(   df = adlb_df,   var_name = \"PARAMCD\",   var_values = c(\"A\", \"B\", \"C\"),   related_var = \"PARAM\" ) #>   ID   PARAM PARAMCD #> 1  1 Level A       A #> 2  2 Level B       B #> 3  3 Level C       C #> 4  4 Level A       A #> 5  5 Level B       B #> 6  6 Level C       C #> 7  7 Level A       A #> 8  8 Level B       B #> 9  9 Level C       C  # Example with tibble. adlb_tbl <- tibble::tibble(   ID = 1:9,   PARAM = factor(     rep(c(\"Level A\", \"Level B\", \"Level C\"), 3),     levels = params   ) ) rel_var(   df = adlb_tbl,   var_name = \"PARAMCD\",   var_values = c(\"A\", \"B\", \"C\"),   related_var = \"PARAM\" ) #> # A tibble: 9 × 3 #>      ID PARAM   PARAMCD #>   <int> <fct>   <fct>   #> 1     1 Level A A       #> 2     2 Level B B       #> 3     3 Level C C       #> 4     4 Level A A       #> 5     5 Level B B       #> 6     6 Level C C       #> 7     7 Level A A       #> 8     8 Level B B       #> 9     9 Level C C"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/relvar_init.html","id":null,"dir":"Reference","previous_headings":"","what":"Related Variables: Initialize — relvar_init","title":"Related Variables: Initialize — relvar_init","text":"Verify initialize related variable values. example, relvar_init(\"Alanine Aminotransferase Measurement\", \"ALT\").","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/relvar_init.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Related Variables: Initialize — relvar_init","text":"","code":"relvar_init(relvar1, relvar2)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/relvar_init.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Related Variables: Initialize — relvar_init","text":"relvar1 (list character) List n elements. relvar2 (list character) List n elements.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/relvar_init.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Related Variables: Initialize — relvar_init","text":"vector n elements.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/replace_na.html","id":null,"dir":"Reference","previous_headings":"","what":"Replace Values in a Vector by NA — replace_na","title":"Replace Values in a Vector by NA — replace_na","text":"Randomized replacement values NA.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/replace_na.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Replace Values in a Vector by NA — replace_na","text":"","code":"replace_na(v, percentage = 0.05, seed = NULL)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/replace_na.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Replace Values in a Vector by NA — replace_na","text":"v () Vector type. percentage (proportion) Value 0 1 defining much vector shall replaced NA. number randomized +/- 5% full randomization. seed (numeric) Seed use reproducible random number generation.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/replace_na.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Replace Values in a Vector by NA — replace_na","text":"input vector v certain number values replaced NA.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/retain.html","id":null,"dir":"Reference","previous_headings":"","what":"Primary Keys: Retain Values — retain","title":"Primary Keys: Retain Values — retain","text":"Retain values within primary keys.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/retain.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Primary Keys: Retain Values — retain","text":"","code":"retain(df, value_var, event, outside = NA)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/retain.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Primary Keys: Retain Values — retain","text":"df (data.frame) Data frame apply retain. value_var () Variable df containing value retained. event (expression) Expression returning logical value trigger retain. outside () Additional value retain. Defaults NA.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/retain.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Primary Keys: Retain Values — retain","text":"vector values expression true.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/rtexp.html","id":null,"dir":"Reference","previous_headings":"","what":"Truncated Exponential Distribution — rtexp","title":"Truncated Exponential Distribution — rtexp","text":"generates random numbers truncated Exponential distribution, .e. X | X > l X | X < r X ~ Exp(rate). advantage guarantee return exactly n numbers without using loop internally. can derived quantile functions left- right-truncated Exponential distributions.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/rtexp.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Truncated Exponential Distribution — rtexp","text":"","code":"rtexp(n, rate, l = NULL, r = NULL)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/rtexp.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Truncated Exponential Distribution — rtexp","text":"n (numeric) Number random numbers. rate (numeric) Non-negative rate. l (numeric) Positive left-hand truncation parameter. r (numeric) Positive right-hand truncation parameter.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/rtexp.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Truncated Exponential Distribution — rtexp","text":"random numbers. neither l r provided usual Exponential distribution used.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/rtexp.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Truncated Exponential Distribution — rtexp","text":"","code":"x <- stats::rexp(1e6, rate = 5) x <- x[x > 0.5] hist(x)   y <- rtexp(1e6, rate = 5, l = 0.5) hist(y)   z <- rtexp(1e6, rate = 5, r = 0.5) hist(z)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/rtpois.html","id":null,"dir":"Reference","previous_headings":"","what":"Zero-Truncated Poisson Distribution — rtpois","title":"Zero-Truncated Poisson Distribution — rtpois","text":"generates random numbers zero-truncated Poisson distribution, .e. X | X > 0 X ~ Poisson(lambda). advantage guarantee return exactly n numbers without using loop internally. solution provided post Peter Dalgaard.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/rtpois.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Zero-Truncated Poisson Distribution — rtpois","text":"","code":"rtpois(n, lambda)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/rtpois.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Zero-Truncated Poisson Distribution — rtpois","text":"n (numeric) Number random numbers. lambda (numeric) Non-negative mean(s).","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/rtpois.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Zero-Truncated Poisson Distribution — rtpois","text":"random numbers.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/rtpois.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Zero-Truncated Poisson Distribution — rtpois","text":"","code":"x <- rpois(1e6, lambda = 5) x <- x[x > 0] hist(x)   y <- rtpois(1e6, lambda = 5) hist(y)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/sample_fct.html","id":null,"dir":"Reference","previous_headings":"","what":"Create a Factor with Random Elements of x — sample_fct","title":"Create a Factor with Random Elements of x — sample_fct","text":"Sample elements x replacement build factor.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/sample_fct.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create a Factor with Random Elements of x — sample_fct","text":"","code":"sample_fct(x, N, ...)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/sample_fct.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create a Factor with Random Elements of x — sample_fct","text":"x (character vector factor) character vector also used levels returned factor. factor levels used new levels. N (numeric) Number items choose. ... Additional arguments passed sample.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/sample_fct.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create a Factor with Random Elements of x — sample_fct","text":"factor length N.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/sample_fct.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create a Factor with Random Elements of x — sample_fct","text":"","code":"sample_fct(letters[1:3], 10) #>  [1] c b c b c b b a a b #> Levels: a b c sample_fct(iris$Species, 10) #>  [1] versicolor setosa     versicolor versicolor setosa     setosa     #>  [7] versicolor versicolor versicolor setosa     #> Levels: setosa versicolor virginica"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/visit_schedule.html","id":null,"dir":"Reference","previous_headings":"","what":"Create Visit Schedule — visit_schedule","title":"Create Visit Schedule — visit_schedule","text":"Create visit schedule factor.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/visit_schedule.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create Visit Schedule — visit_schedule","text":"","code":"visit_schedule(visit_format = \"WEEK\", n_assessments = 10L, n_days = 5L)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/visit_schedule.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create Visit Schedule — visit_schedule","text":"visit_format (character) Type visit. Options \"WEEK\" \"CYCLE\". n_assessments (integer) Number weeks cycles. n_days (integer) Number days cycle (used visit_format \"CYCLE\").","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/visit_schedule.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create Visit Schedule — visit_schedule","text":"factor length n_assessments.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/visit_schedule.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Create Visit Schedule — visit_schedule","text":"X number visits, X number cycles Y number days.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/reference/visit_schedule.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create Visit Schedule — visit_schedule","text":"","code":"visit_schedule(visit_format = \"WEeK\", n_assessments = 10L) visit_schedule(visit_format = \"CyCLE\", n_assessments = 5L, n_days = 2L)"},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"randomcdiscdata-0316","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.16","title":"random.cdisc.data 0.3.16","text":"CRAN release: 2024-10-10","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"miscellaneous-0-3-16","dir":"Changelog","previous_headings":"","what":"Miscellaneous","title":"random.cdisc.data 0.3.16","text":"Renamed var_relabel rcd_var_relabel copied new functionalities avoid namespace conflict formatters package. Made rcd_var_relabel internal intended developers use . Updated ARM ACTARM variables ADAB data.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"randomcdiscdata-0315","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.15","title":"random.cdisc.data 0.3.15","text":"CRAN release: 2024-03-27","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"new-features-0-3-15","dir":"Changelog","previous_headings":"","what":"New features","title":"random.cdisc.data 0.3.15","text":"Asynchronous cached data updates rebuild_cached_data vignette - data updated (dependency’s) source file updated.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"enhancements-0-3-15","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"random.cdisc.data 0.3.15","text":"Updated level ETHNIC variable datasets \" REPORTED\" \"REPORTED\".","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"miscellaneous-0-3-15","dir":"Changelog","previous_headings":"","what":"Miscellaneous","title":"random.cdisc.data 0.3.15","text":"Specified minimal version package dependencies.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"breaking-changes-0-3-14","dir":"Changelog","previous_headings":"","what":"Breaking changes","title":"random.cdisc.data 0.3.14","text":"Renamed ADSL argument adsl radab, radae, radaette, radcm, raddv, radeg, radex, radhy, radlb, radmh, radpc, radpp, radqlqc, radqs, radrs, radsaftte, radsub, radtr, radtte, radvs, get_qs_data. Renamed ADPC argument adpc radab. Renamed event.descr argument event_descr censor.descr argument censor_descr radaette adtte.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"new-features-0-3-14","dir":"Changelog","previous_headings":"","what":"New features","title":"random.cdisc.data 0.3.14","text":"Added new random dataset generator: Anti-Drug Antibody Analysis Dataset (radab). Added new random dataset generator: EORTC QLQ-C30 V3 Analysis Dataset (radqlqc).","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"enhancements-0-3-14","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"random.cdisc.data 0.3.14","text":"Added variables ASTDY, AENDY, EXDOSFRQ, EXROUTE, VISIT, VISITDY, EXSTDTC, EXENDTC, EXSTDY, EXENDY, TRTSDT, TRTEDT adex. Added default PARAMs new variables PPSTINT, PPENINT, REGIMEN, PKARMCD adpp. Added TNE PARAMCD, Total Number Exacerbations PARAM, new variable lgTMATRSK adtte. Added default PARAMs post-baseline visits adab enhanced variables ADAPBLFL, ABLFL, ADABLFL, PARCAT1, RELTMU. Added variables AEWITHFL ADTHAUT adsl. Added variable ATIREL admh. Added variables CMSTRTPT, CMENRTPT, ADURN, ADURU adcm. Added variables AESCONG, AESDISAB, AESHOSP, AESLIFE, AESMIE, LDOSEDTM adae. Added parameter with_trt02 radsl make second treatment period available. with_trt02 = TRUE (default), add variables TRT02A, TRT02P, TRT02SDTM, TRT02EDTM, AP02SDTM, AP02EDTM, TRT01SDTM, TRT01EDTM, AP01SDTM, AP01EDTM adsl, set TRTSDTM TRT01SDTM, TRTEDTM TRT02EDTM. Added variable LDRELTM adae. Aligned logic ADTM, ADY, ONTRTFL variables AVISIT applicable within adeg, adlb, adqs, adsub, adtr, advs. Made AVAL values realistic updated derivations ANRIND, *STRESC, LOQFL depend value PARAMCD adlb advs. Added tests increase package test coverage. Added “datetime” “date” valid variable types apply apply_metadata. Implemented lubridate package date/datetime variable derivations.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"bug-fixes-0-3-14","dir":"Changelog","previous_headings":"","what":"Bug fixes","title":"random.cdisc.data 0.3.14","text":"Updated ANL01FL NA values \"\" adae. Updated DVDECOD DVSCAT values addv. Fixed adtm calculations records AVISIT ADTM patient. Fixed checks na_percentage argument datasets. Updated package breaking changes tidyselect. Updated adtte events, analysis values censor values make logical sense.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"miscellaneous-0-3-14","dir":"Changelog","previous_headings":"","what":"Miscellaneous","title":"random.cdisc.data 0.3.14","text":"Updated installation method aligned packages. Updated tests use testthat 3rd edition added snapshot testing random rows. Implemented lifecycle package stable badge exported functions, tagged internal functions. Combined ADQLQC helper functions documentation file. Improved usability examples. Renamed random.cdisc.data.R file package.R cleaned contents. Added detailed documentation function parameters. Converted dataset names lowercase/snake case consistency NEST packages. Refactor adpc adab following new CDISC standard. Refactor abab parameters visits align adpc. Skipping examples h_adqlqc documentation. Changed example apply_metadata reduce example run time.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"new-features-0-3-13","dir":"Changelog","previous_headings":"","what":"New features","title":"random.cdisc.data 0.3.13","text":"Added new random dataset generator: PK Analysis Dataset (radpc). Added new random dataset generator: PK Parameter Dataset (radpp).","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"enhancements-0-3-13","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"random.cdisc.data 0.3.13","text":"Added new variables AGEU, TRT01P, TRT01A ADSL. Added new variables CMINDC, CMDOSE, CMTRT, CMDOSU, CMROUTE, CMDOSFRQ ADCM. Added ANRLO ANRHI column ADLB ADVS. Added AERELNST column ADAE. Added MHDISTAT column ADMH. Enhanced radpc add argument set duration number days.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"bug-fix-0-3-13","dir":"Changelog","previous_headings":"","what":"Bug fix","title":"random.cdisc.data 0.3.13","text":"Fixed typo ADSL$BMRKR1’s label.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"miscellaneous-0-3-13","dir":"Changelog","previous_headings":"","what":"Miscellaneous","title":"random.cdisc.data 0.3.13","text":"Updated required R version >= 3.6. Removed deprecated package utils.nest imports now use checkmate validation functions. Removed deprecated dependency test.nest.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"enhancements-0-3-12","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"random.cdisc.data 0.3.12","text":"Added EOTSTT variable ADSL dataset. Enabled users define mean analysis value lab test radlb new argument aval_mean. Added AERELNST AEACNOTH variables ADAE dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"miscellaneous-0-3-12","dir":"Changelog","previous_headings":"","what":"Miscellaneous","title":"random.cdisc.data 0.3.12","text":"Updated LICENCE README new package references. Corrected EVNTDESC CNSR variable values “OS” parameter ADTTE dataset. Fixed typo label BASE2 variable ADQS dataset. Added error_on_lint: TRUE .lintr.","code":""},{"path":[]},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"enhancements-0-3-11","dir":"Changelog","previous_headings":"","what":"Enhancements","title":"random.cdisc.data 0.3.11","text":"Added AECONTRT variable ADAE dataset. Added new parameters ADAETTE dataset. Added new parameters ADHY dataset. Added period variables APERIOD APERIODC ADHY dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"randomcdiscdata-0310","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.10","title":"random.cdisc.data 0.3.10","text":"Added parameters ADHY data. Fix bug make internal helper rel_var work tibbles. Added new random dataset generator: Hys Law Analysis Dataset (radhy) . Updated sampling TRTSDTM radsl efficient.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"randomcdiscdata-039","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.9","title":"random.cdisc.data 0.3.9","text":"Fix warnings binding factors characters.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"randomcdiscdata-038","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.8","title":"random.cdisc.data 0.3.8","text":"Added variables ATC1CD, ATC2CD, ATC3CD, ATC4CD ADCM data. lookup argument now takes parameters CATCD CAT instead PARAMCD PARAM. CATCD specifies code study specific treatment emergent adverse events (e.g. “1”) CAT specifies corresponding text (e.g. “adverse event”). resulting data set contains now number total occurrences per patient specific AE category (PARAMCD starting AETOT ending CATCD). Added parameter AEREPTTE, time end AE reporting period. Generation time number adverse events now conditional censoring information, .e. longer possible situation patient censored time first AE larger AE reporting period. Updated examples use cached = TRUE. Added ADSUB dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"randomcdiscdata-037","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.7","title":"random.cdisc.data 0.3.7","text":"Added parameters BNRIND ONTRTFL ADVS data set. Added new parameter “Duration Confirmed Response” ADTTE data set.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"randomcdiscdata-036","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.6","title":"random.cdisc.data 0.3.6","text":"Fixed radsl N < 4.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"randomcdiscdata-035","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.5","title":"random.cdisc.data 0.3.5","text":"Added ADTR dataset osprey. Added 10 variables ADAE dataset: AEOUT, AEACN, AESDTH, TRTEMFL, ANL01FL, SMQ01NAM, SMQ02NAM, SMQ01SC, SMQ02SC, CQ01NAM. Added WORS02FL (Worst Post-Baseline Observation) ADEG dataset. Added ADEG dataset. Added 11 variables ADLB dataset: BNRIND, SHIFT1, ATOXGR, BTOXGR, WOS01FL, ANL01FL, WGRHIFL, WGRLOFL, WGRHIVFL, WGRLOVFL, ONTRTFL.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"randomcdiscdata-034","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.4","title":"random.cdisc.data 0.3.4","text":"Simple refactor examples.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"randomcdiscdata-033","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.3","title":"random.cdisc.data 0.3.3","text":"Remove test.nest dependency.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"randomcdiscdata-032","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.2","title":"random.cdisc.data 0.3.2","text":"Added ADMH dataset. Renamed AREL column ADAE AEREL.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"randomcdiscdata-031","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.1","title":"random.cdisc.data 0.3.1","text":"Refactored renaming functions utils.nest. Added ADEX dataset.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"randomcdiscdata-030","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.3.0","title":"random.cdisc.data 0.3.0","text":"Columns classes configuration .yml file. Added Medical History Analysis Dataset (radmh). Added missing columns based Roche standards. Introduced missing values random datasets generators (.e. r<name>). Updated lists dataset columns. Enhanced auto-testing.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"randomcdiscdata-021","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.2.1","title":"random.cdisc.data 0.2.1","text":"Added cached versions datasets c<name>.","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"randomcdiscdata-020","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.2.0","title":"random.cdisc.data 0.2.0","text":"New consistent approach creating random data different domains. Switch new CDISC names (e.g. ADSL instead ASL). Subject-Level Analysis Dataset (radsl). Adverse Event Analysis Dataset (radae). Time Adverse Event Analysis Dataset (radaette). Previous Concomitant Medications Analysis Dataset (radcm). Laboratory Data Analysis Dataset (radlb). Questionnaires Analysis Dataset (radqs). Time--Event Dataset (radtte). Tumor Response Analysis Dataset (radrs). Vital Signs Analysis Dataset (radvs).","code":""},{"path":"https://insightsengineering.github.io/random.cdisc.data/v0.3.16/news/index.html","id":"randomcdiscdata-010","dir":"Changelog","previous_headings":"","what":"random.cdisc.data 0.1.0","title":"random.cdisc.data 0.1.0","text":"Initial release.","code":""}]